Motivation and Cognitive Abilities as Mediators between Polygenic Scores and Psychopathology in Children using ABCD 3
Narun P
3/5/2021
1 Data and Library Preparation
1.1 Reset workspace and load libraries
This analysis uses ABCD Release 3
rm(list=ls())
gc()## used (Mb) gc trigger (Mb) limit (Mb) max used
## Ncells 2305945 123.2 4862702 259.7 NA 2613061
## Vcells 3866856 29.6 8388608 64.0 204800 6383958
## (Mb)
## Ncells 139.6
## Vcells 48.8library(tidyverse)
library(qgraph)
library(pander)
options(scipen = 999)1.2 Setting up paths
This chunk uses absolute paths and is not shown.
This sets paths for
1) working directory
2) ABCD tabulated data directory “dataFold”
3) Polygenic Score data directory “prsScoreFold”
4) definition directory “utilFold” 5) output directory “outFold”
6) list of 111 participants who had error genetic data (based on ABCD Release 2.01) “genetic111File”
1.3 Load CBCL
CBCL definitions from Michelini et al. Translational Psychiatry (2019)
CBCL <-read_csv(paste0(dataFold,"ABCD_CBCL01_DATA_TABLE.csv")) %>%
filter(EVENTNAME =="baseline_year_1_arm_1")
LowFreqComp <- read_csv(paste0(utilFold,"CBCLLowFreqCompositMichelini.csv")) %>% mutate(CBCL_COL = as.factor(CBCL_COL))
LowFreq <- levels(droplevels(subset(LowFreqComp,LowFreq == 1, select = CBCL_COL)$CBCL_COL[]))
Com1_Attack <- levels(droplevels(subset(LowFreqComp,Com1_Attack== 1, select = CBCL_COL)$CBCL_COL[]))
Com2_Destroy <- levels(droplevels(subset(LowFreqComp,Com2_Destroy== 1, select = CBCL_COL)$CBCL_COL[]))
Com3_Disobeys <- levels(droplevels(subset(LowFreqComp,Com3_Disobeys== 1, select = CBCL_COL)$CBCL_COL[]))
Com4_Steals <- levels(droplevels(subset(LowFreqComp,Com4_Steals== 1, select = CBCL_COL)$CBCL_COL[]))
Com5_Peer <- levels(droplevels(subset(LowFreqComp,Com5_Peer== 1, select = CBCL_COL)$CBCL_COL[]))
Com6_Distracted <- levels(droplevels(subset(LowFreqComp,Com6_Distracted== 1, select = CBCL_COL)$CBCL_COL[]))
Com7_Hallucinations <- levels(droplevels(subset(LowFreqComp,Com7_Hallucinations== 1, select = CBCL_COL)$CBCL_COL[]))
Com8_SexPlay <- levels(droplevels(subset(LowFreqComp,Com8_SexPlay== 1, select = CBCL_COL)$CBCL_COL[]))
Com9_Weight <- levels(droplevels(subset(LowFreqComp,Com9_Weight== 1, select = CBCL_COL)$CBCL_COL[]))
# add .01 so that rounding .5 becomes 1 as opposed to 0
CBCLLowFreqDroppedCompAdded <-
CBCL %>%
select(-one_of(LowFreq)) %>%
mutate(Com1_Attack = round(rowMeans(select(.,one_of(Com1_Attack)))+.01)) %>%
mutate(Com2_Destroy = round(rowMeans(select(.,one_of(Com2_Destroy)))+.01)) %>%
mutate(Com3_Disobeys = round(rowMeans(select(.,one_of(Com3_Disobeys)))+.01)) %>%
mutate(Com4_Steals = round(rowMeans(select(.,one_of(Com4_Steals)))+.01)) %>%
mutate(Com5_Peer = round(rowMeans(select(.,one_of(Com5_Peer)))+.01)) %>%
mutate(Com6_Distracted = round(rowMeans(select(.,one_of(Com6_Distracted )))+.01)) %>%
mutate(Com7_Hallucinations = round(rowMeans(select(.,one_of(Com7_Hallucinations)))+.01)) %>%
mutate(Com8_SexPlay = round(rowMeans(select(.,one_of(Com8_SexPlay)))+.01)) %>%
mutate(Com9_Weight = round(rowMeans(select(.,one_of(Com9_Weight )))+.01))
comNames <-
c(Com1_Attack, Com2_Destroy, Com3_Disobeys, Com4_Steals, Com5_Peer, Com6_Distracted, Com7_Hallucinations, Com8_SexPlay, Com9_Weight)
CBCLLowFreqCompDroppedCompAdded <-
CBCLLowFreqDroppedCompAdded %>% select(-one_of(comNames))
CBCLLowFreqCompDroppedCompAddedNoNa <- CBCLLowFreqCompDroppedCompAdded %>% select(-TIMEPT) %>% drop_na()
CBCLNamesAll <- CBCLLowFreqCompDroppedCompAddedNoNa %>%
select(matches('CBCL_Q|Com')) %>% colnames()
CBCLLowFreqCompDroppedCompAddedNoNaDef <-
plyr::join_all(list(data.frame(CBCL_COL = CBCLNamesAll), LowFreqComp), by='CBCL_COL', type='left')
prevFac <-tbl_df(read.csv(paste0(utilFold,"CBCLLowFreqCompDroppedCompAddedNoNaDefMicheliniFac.csv"))) %>% mutate(CBCL_COL = as.factor(CBCL_COL))## Warning: `tbl_df()` is deprecated as of dplyr 1.0.0.
## Please use `tibble::as_tibble()` instead.
## This warning is displayed once every 8 hours.
## Call `lifecycle::last_warnings()` to see where this warning was generated.dropFCol <- levels(droplevels(subset(prevFac,prevFactor == "drop", select = CBCL_COL)$CBCL_COL[]))
F1Externalizing <- levels(droplevels(subset(prevFac,prevFactor == "F1", select = CBCL_COL)$CBCL_COL[]))
F2Internalizing <- levels(droplevels(subset(prevFac,prevFactor == "F2", select = CBCL_COL)$CBCL_COL[]))
F3NeuroDevelopmental <- levels(droplevels(subset(prevFac,prevFactor == "F3", select = CBCL_COL)$CBCL_COL[]))
F4Somatoform <- levels(droplevels(subset(prevFac,prevFactor == "F4", select = CBCL_COL)$CBCL_COL[]))
F5Detachment <- levels(droplevels(subset(prevFac,prevFactor == "F5", select = CBCL_COL)$CBCL_COL[]))
CBCLMicheliniPruned <-
CBCLLowFreqCompDroppedCompAddedNoNa %>% select(-one_of(dropFCol)) %>% filter(EVENTNAME =="baseline_year_1_arm_1")
CBCLNames <- CBCLMicheliniPruned %>%
select(matches('CBCL_Q|Com')) %>% colnames()
CBCLMicheliniPruned.NewNames <-
CBCLLowFreqCompDroppedCompAddedNoNa %>% select(-one_of(dropFCol)) %>%
filter(EVENTNAME =="baseline_year_1_arm_1") %>%
rename_at(vars(all_of(F1Externalizing)), ~ paste0("Ext",1:length(F1Externalizing))) %>%
rename_at(vars(all_of(F2Internalizing)), ~ paste0("Int",1:length(F2Internalizing))) %>%
rename_at(vars(all_of(F3NeuroDevelopmental)), ~ paste0("NDe",1:length(F3NeuroDevelopmental))) %>%
rename_at(vars(all_of(F4Somatoform)), ~ paste0("Som",1:length(F4Somatoform))) %>%
rename_at(vars(all_of(F5Detachment)), ~ paste0("Det",1:length(F5Detachment)))
CBCLfaDat.NewNames <- CBCLMicheliniPruned.NewNames %>%
select(matches('Ext|Int|NDe|Som|Det')) %>%
select(-matches('INTERVIEW'))1.4 Load BIS/BAS
BISBAS <-tbl_df(read.csv(paste0(dataFold,"ABCD_BISBAS01_DATA_TABLE.csv"))) %>%
filter(EVENTNAME =="baseline_year_1_arm_1") %>%
mutate(BISAvg=rowMeans(cbind(BISBAS2_Y,BISBAS3_Y,BISBAS4_Y,BISBAS6_Y), na.rm=F)) %>%
mutate(BASRRAvg=rowMeans(cbind(BISBAS8_Y,BISBAS10_Y,BISBAS11_Y,BISBAS12_Y), na.rm=F)) %>%
mutate(BASDriveAvg=rowMeans(cbind(BISBAS13_Y,BISBAS14_Y,BISBAS15_Y,BISBAS16_Y), na.rm=F)) %>%
mutate(BASFunAvg=rowMeans(cbind(BISBAS17_Y,BISBAS18_Y,BISBAS19_Y,BISBAS20_Y), na.rm=F)) %>%
mutate(BASAllAvg=rowMeans(cbind(BASRRAvg,BASDriveAvg,BASFunAvg), na.rm=F))1.4.1 histrogram of BIS/BAS
ggplot(BISBAS, aes(x=BISAvg)) +
geom_histogram(color="black", fill="white") +
xlab("averaged BIS") +
theme_classic(base_size = 30)## `stat_bin()` using `bins = 30`. Pick better value with
## `binwidth`.## Warning: Removed 22 rows containing non-finite values
## (stat_bin).
ggplot(BISBAS, aes(x=BASAllAvg)) +
geom_histogram(color="black", fill="white") +
xlab("averaged BAS") +
theme_classic(base_size = 30)## `stat_bin()` using `bins = 30`. Pick better value with
## `binwidth`.## Warning: Removed 23 rows containing non-finite values
## (stat_bin).
1.5 Load neuro cognitive measures
NIH_TB <-tbl_df(read.csv(paste0(dataFold,"ABCD_TBSS01_DATA_TABLE.csv"))) %>%
filter(EVENTNAME =="baseline_year_1_arm_1")
CashChoice <-tbl_df(read.csv(paste0(dataFold,"CCT01_DATA_TABLE.csv"))) %>%
filter(EVENTNAME =="baseline_year_1_arm_1")
LittleMan <-tbl_df(read.csv(paste0(dataFold,"LMTP201_DATA_TABLE.csv"))) %>%
filter(EVENTNAME =="baseline_year_1_arm_1")
Pearson <-tbl_df(read.csv(paste0(dataFold,"ABCD_PS01_DATA_TABLE.csv"))) %>%
filter(EVENTNAME =="baseline_year_1_arm_1")
vision_idx <- tbl_df(read.csv(paste0(dataFold,"ABCD_SVS01_DATA_TABLE.CSV"))) %>%
filter(EVENTNAME =="baseline_year_1_arm_1") %>%
mutate(visionProb = ifelse(SNELLEN_VA_Y == 0 | SNELLEN_VA_Y == 1 | VIS_FLG == 2, 1, 0))
#vision_idx %>% select(SNELLEN_VA_Y, VIS_FLG, visionProb) %>% arrange(SNELLEN_VA_Y)1.6 Load the PS QC variables
need to exclude participants with
1) plate 461
2) non-EU
3) SUBJ_QC_BAD
PRSQcEuNotRelated <- plyr::join_all(list(batch_info, eur_bim2unrelated, badImputed,vision_idx), by='SUBJECTKEY', type='full')
PRSQcEuNotRelated %>%count(EuNotRelated==1,batch!=461, is.na(SUBJ_QC_BAD),visionProb !=1 |is.na(visionProb)) %>% knitr::kable()| EuNotRelated == 1 | batch != 461 | is.na(SUBJ_QC_BAD) | visionProb != 1 | is.na(visionProb) | n |
|---|---|---|---|---|
| TRUE | FALSE | TRUE | TRUE | 32 |
| TRUE | TRUE | TRUE | FALSE | 8 |
| TRUE | TRUE | TRUE | TRUE | 4814 |
| NA | FALSE | TRUE | TRUE | 50 |
| NA | TRUE | TRUE | FALSE | 20 |
| NA | TRUE | TRUE | TRUE | 6175 |
| NA | NA | FALSE | TRUE | 2 |
| NA | NA | TRUE | FALSE | 3 |
| NA | NA | TRUE | TRUE | 810 |
finalParticipantNum <- PRSQcEuNotRelated %>%filter(EuNotRelated==1,batch!=461, is.na(SUBJ_QC_BAD),visionProb !=1 |is.na(visionProb)) %>% nrow() We have 4814 participants left.
1.7 Load PS scores
wrayMDD <- tbl_df(read.table(paste0(prsScoreFold,"wray-ripke-mattheisen-2018-mdd-gwas/abcd-release-3.0_chrall_0.8-mac5-hg19-eur-qc-v9-genotypes-wray-ripke-mattheisen-2018-mdd-gwas-profiles.csv"),header = TRUE)) %>% rename(SUBJECTKEY = iid) %>% mutate(SUBJECTKEY = str_remove_all(SUBJECTKEY, "AB[:digit:]{7}_"))
wrayMDD$SUBJECTKEY[which(wrayMDD$SUBJECTKEY=="`NDAR_INVF3FYXH1G")] <-"NDAR_INVF3FYXH1G"
otowaAnx <- tbl_df(read.table(paste0(prsScoreFold,"otowa-hek-lee-2016-anxiety-caco-gwas/abcd-release-3.0_chrall_0.8-mac5-hg19-eur-qc-v9-genotypes-otowa-hek-lee-2016-anxiety-caco-gwas-profiles.csv"),header = TRUE)) %>% rename(SUBJECTKEY = iid) %>% mutate(SUBJECTKEY = str_remove_all(SUBJECTKEY, "AB[:digit:]{7}_"))
otowaAnx$SUBJECTKEY[which(otowaAnx$SUBJECTKEY=="`NDAR_INVF3FYXH1G")] <-"NDAR_INVF3FYXH1G"
ruderferBIP <- tbl_df(read.table(paste0(prsScoreFold,"ruderfer-ripke-mcquillan-2018-bip-gwas/abcd-release-3.0_chrall_0.8-mac5-hg19-eur-qc-v9-genotypes-ruderfer-ripke-mcquillan-2018-bip-gwas-profiles.csv"),header = TRUE)) %>% rename(SUBJECTKEY = iid) %>% mutate(SUBJECTKEY = str_remove_all(SUBJECTKEY, "AB[:digit:]{7}_"))
ruderferBIP$SUBJECTKEY[which(ruderferBIP$SUBJECTKEY=="`NDAR_INVF3FYXH1G")] <-"NDAR_INVF3FYXH1G"
demontisADHD <- tbl_df(read.table(paste0(prsScoreFold,"demontis-walters-martin-2017-eur-adhd-gwas/abcd-release-3.0_chrall_0.8-mac5-hg19-eur-qc-v9-genotypes-demontis-walters-martin-2017-eur-adhd-gwas-profiles.csv"),header = TRUE)) %>% rename(SUBJECTKEY = iid) %>% mutate(SUBJECTKEY = str_remove_all(SUBJECTKEY, "AB[:digit:]{7}_"))
demontisADHD$SUBJECTKEY[which(demontisADHD$SUBJECTKEY=="`NDAR_INVF3FYXH1G")] <-"NDAR_INVF3FYXH1G"
pardinasScz <- tbl_df(read.table(paste0(prsScoreFold,"pardinas-holmans-pocklington-2016-scz-gwas/abcd-release-3.0_chrall_0.8-mac5-hg19-eur-qc-v9-genotypes-pardinas-holmans-pocklington-2016-scz-gwas-profiles.csv"),header = TRUE)) %>% rename(SUBJECTKEY = iid) %>% mutate(SUBJECTKEY = str_remove_all(SUBJECTKEY, "AB[:digit:]{7}_"))
pardinasScz$SUBJECTKEY[which(pardinasScz$SUBJECTKEY=="`NDAR_INVF3FYXH1G")] <-"NDAR_INVF3FYXH1G"
groveAls <- tbl_df(read.table(paste0(prsScoreFold,"grove-ripke-als-2017-eur-asd-gwas/abcd-release-3.0_chrall_0.8-mac5-hg19-eur-qc-v9-genotypes-grove-ripke-als-2017-eur-asd-gwas-profiles.csv"),header = TRUE)) %>% rename(SUBJECTKEY = iid) %>% mutate(SUBJECTKEY = str_remove_all(SUBJECTKEY, "AB[:digit:]{7}_"))
groveAls$SUBJECTKEY[which(groveAls$SUBJECTKEY=="`NDAR_INVF3FYXH1G")] <-"NDAR_INVF3FYXH1G"1.8 Join data
to improve model fit, we scaled bis/bas, neuro cognitive measures and PS scores
BISBASVar <- BISBAS %>% select(starts_with("B")) %>% colnames()
TaskDVs1Batch = c("NIHTBX_PICVOCAB_UNCORRECTED",
"NIHTBX_FLANKER_UNCORRECTED",
"NIHTBX_LIST_UNCORRECTED",
"NIHTBX_CARDSORT_UNCORRECTED",
"NIHTBX_PATTERN_UNCORRECTED",
"NIHTBX_PICTURE_UNCORRECTED",
"NIHTBX_READING_UNCORRECTED",
"LMT_SCR_PERC_CORRECT",
"PEA_RAVLT_LD_TRIAL_VII_TC",
"PEA_WISCV_TRS")
wrayMDDOri <- wrayMDD %>% select(matches('p1|p5')) %>% colnames()
wrayMDDNew <- paste0("wrayMDD",wrayMDDOri)
wrayMDD.renamed <- wrayMDD %>% rename_at(vars(all_of(wrayMDDOri )), ~ wrayMDDNew)
ADHDColOri <- demontisADHD %>% select(matches('p1|p5')) %>% colnames()
ADHDColNew <- paste0("ADHD",ADHDColOri)
demontisADHD.renamed <- demontisADHD %>% rename_at(vars(all_of(ADHDColOri)), ~ ADHDColNew)
otowaAnxColOri <- otowaAnx %>% select(matches('p1|p5')) %>% colnames()
otowaAnxColNew <- paste0("otowaAnx",otowaAnxColOri)
otowaAnx.renamed <- otowaAnx %>% rename_at(vars(all_of(otowaAnxColOri)), ~ otowaAnxColNew)
ruderferBIPColOri <- ruderferBIP %>% select(matches('p1|p5')) %>% colnames()
ruderferBIPColNew <- paste0("ruderferBIP",ruderferBIPColOri)
ruderferBIP.renamed <- ruderferBIP %>% rename_at(vars(all_of(ruderferBIPColOri)), ~ ruderferBIPColNew)
pardinasSczColOri <- pardinasScz %>% select(matches('p1|p5')) %>% colnames()
pardinasSczColNew <- paste0("pardinasScz",pardinasSczColOri)
pardinasScz.renamed <- pardinasScz %>% rename_at(vars(all_of(pardinasSczColOri)), ~ pardinasSczColNew)
groveAlsColOri <- groveAls %>% select(matches('p1|p5')) %>% colnames()
groveAlsColNew <- paste0("groveAls",groveAlsColOri)
groveAls.renamed <- groveAls %>% rename_at(vars(all_of(groveAlsColOri)), ~ groveAlsColNew)
MostPrsCBCLBISBAS <- plyr::join_all(list(PRSQcEuNotRelated, wrayMDD.renamed, demontisADHD.renamed, otowaAnx.renamed, ruderferBIP.renamed, pardinasScz.renamed, groveAls.renamed, NIH_TB, CashChoice, LittleMan, Pearson, CBCLMicheliniPruned,BISBAS), by='SUBJECTKEY', type='full')
MostPrsCBCLBISBAS <- MostPrsCBCLBISBAS[,!duplicated(colnames(MostPrsCBCLBISBAS))]
MostPrsCBCLBISBAS <- tibble::rowid_to_column(MostPrsCBCLBISBAS, "ID") %>%
filter(EuNotRelated==1,batch!=461, is.na(SUBJ_QC_BAD),visionProb !=1 |is.na(visionProb)) %>%
mutate(SEXnum = ifelse(SEX == "F",1,0))
mostPRSScored <- MostPrsCBCLBISBAS %>% select(matches('_score')) %>% colnames()
MostPrsCBCLBISBAS.ScoreScaled <- MostPrsCBCLBISBAS %>%
mutate_at(scale, .vars = vars(c(all_of(BISBASVar), all_of(TaskDVs1Batch), all_of(mostPRSScored))), center = TRUE, scale=TRUE)1.8.1 check sex and age
MostPrsCBCLBISBAS.ScoreScaled %>% count(SEX)## SEX n
## 1 F 2263
## 2 M 2541
## 3 <NA> 10ageDescribe <- MostPrsCBCLBISBAS.ScoreScaled$INTERVIEW_AGE %>% psych::describe()
ageDescribe$mean/12 # in years## [1] 9.936338(ageDescribe$mean/12)%%1*12 # remaining months ## [1] 11.236051.9 Set up variables for plotting
diag_var_list_BBG <-c("RR","DRV","Fun","EF","vrb","mmr","spt","BIS","BAS","G","MDD\nPS","ADHD\nPS","Con\nVars","Ext","Neuro\nDev", "Int", "Somatic","Detach","P","Broad\nExt","Broad\nInt")2 Confirmatory Factor Analyses
2.1 High-order P-factor model
CBCL.2ndOrderModel <-'
Ext =~ CBCL_Q03_P + CBCL_Q07_P + CBCL_Q109_P + CBCL_Q15_P + CBCL_Q16_P + CBCL_Q19_P + CBCL_Q26_P + CBCL_Q27_P + CBCL_Q34_P + CBCL_Q37_P + CBCL_Q39_P + CBCL_Q43_P + CBCL_Q67_P + CBCL_Q68_P + CBCL_Q72_P + CBCL_Q74_P + CBCL_Q86_P + CBCL_Q87_P + CBCL_Q88_P + CBCL_Q89_P + CBCL_Q90_P + CBCL_Q94_P + CBCL_Q95_P + CBCL_Q96_P + Com1_Attack + Com2_Destroy + Com3_Disobeys + Com4_Steals + Com5_Peer
NDe =~ CBCL_Q01_P + CBCL_Q04_P + CBCL_Q09_P + CBCL_Q13_P + CBCL_Q17_P + CBCL_Q36_P + CBCL_Q46_P + CBCL_Q61_P + CBCL_Q62_P + CBCL_Q64_P + CBCL_Q66_P + CBCL_Q80_P + CBCL_Q85_P + CBCL_Q93_P + Com6_Distracted
Int =~ CBCL_Q112_P + CBCL_Q12_P + CBCL_Q29_P + CBCL_Q30_P + CBCL_Q31_P + CBCL_Q32_P + CBCL_Q35_P + CBCL_Q45_P + CBCL_Q50_P + CBCL_Q52_P + CBCL_Q71_P
Som =~ CBCL_Q51_P + CBCL_Q56A_P + CBCL_Q56B_P + CBCL_Q56C_P + CBCL_Q56D_P + CBCL_Q56E_P + CBCL_Q56F_P + CBCL_Q56G_P + CBCL_Q56H_P
Det =~ CBCL_Q102_P + CBCL_Q111_P + CBCL_Q42_P + CBCL_Q65_P + CBCL_Q75_P
P =~ NA*Ext + NDe + Int + Som + Det #estimate the loading of Ext -> as opposed to using it as a marker
P ~~ 1*P #need to constrain variance to 1
'
CBCL.2ndOrderFitWLS <- lavaan::cfa(model = CBCL.2ndOrderModel, data = MostPrsCBCLBISBAS.ScoreScaled, ordered = CBCLNames)
lavaan::summary(CBCL.2ndOrderFitWLS, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 54 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of free parameters 212
##
## Used Total
## Number of observations 4804 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 14728.526 10702.451
## Degrees of freedom 2272 2272
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.550
## Shift parameter 1197.832
## simple second-order correction
##
## Model Test Baseline Model:
##
## Test statistic 408260.506 116807.351
## Degrees of freedom 2346 2346
## P-value 0.000 0.000
## Scaling correction factor 3.546
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.969 0.926
## Tucker-Lewis Index (TLI) 0.968 0.924
##
## Robust Comparative Fit Index (CFI) NA
## Robust Tucker-Lewis Index (TLI) NA
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.034 0.028
## 90 Percent confidence interval - lower 0.033 0.027
## 90 Percent confidence interval - upper 0.034 0.028
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA NA
## 90 Percent confidence interval - lower NA
## 90 Percent confidence interval - upper NA
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.079 0.079
##
## Parameter Estimates:
##
## Standard errors Robust.sem
## Information Expected
## Information saturated (h1) model Unstructured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## Ext =~
## CBCL_Q03_P 1.000
## CBCL_Q07_P 0.715 0.022 32.900 0.000
## CBCL_Q109_P 0.823 0.020 41.330 0.000
## CBCL_Q15_P 0.839 0.056 14.866 0.000
## CBCL_Q16_P 0.931 0.026 36.101 0.000
## CBCL_Q19_P 0.955 0.019 49.972 0.000
## CBCL_Q26_P 0.891 0.023 38.285 0.000
## CBCL_Q27_P 0.898 0.021 43.400 0.000
## CBCL_Q34_P 0.920 0.031 29.753 0.000
## CBCL_Q37_P 0.991 0.034 28.822 0.000
## CBCL_Q39_P 0.675 0.033 20.172 0.000
## CBCL_Q43_P 0.897 0.020 44.874 0.000
## CBCL_Q67_P 0.946 0.084 11.295 0.000
## CBCL_Q68_P 0.996 0.021 46.797 0.000
## CBCL_Q72_P 0.608 0.071 8.541 0.000
## CBCL_Q74_P 0.734 0.021 34.364 0.000
## CBCL_Q86_P 1.005 0.016 62.999 0.000
## CBCL_Q87_P 1.005 0.019 52.178 0.000
## CBCL_Q88_P 0.969 0.022 44.529 0.000
## CBCL_Q89_P 0.968 0.037 26.135 0.000
## CBCL_Q90_P 0.765 0.032 23.553 0.000
## CBCL_Q94_P 0.785 0.028 28.327 0.000
## CBCL_Q95_P 0.987 0.016 60.094 0.000
## CBCL_Q96_P 0.738 0.071 10.455 0.000
## Com1_Attack 0.970 0.025 38.170 0.000
## Com2_Destroy 0.990 0.029 33.940 0.000
## Com3_Disobeys 1.031 0.017 60.180 0.000
## Com4_Steals 0.898 0.033 26.930 0.000
## Com5_Peer 0.986 0.022 43.874 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.107 0.030 36.815 0.000
## CBCL_Q09_P 1.127 0.032 35.635 0.000
## CBCL_Q13_P 1.076 0.041 26.157 0.000
## CBCL_Q17_P 0.886 0.032 27.685 0.000
## CBCL_Q36_P 0.833 0.034 24.819 0.000
## CBCL_Q46_P 0.941 0.037 25.302 0.000
## CBCL_Q61_P 1.060 0.034 31.153 0.000
## CBCL_Q62_P 0.987 0.033 29.537 0.000
## CBCL_Q64_P 0.906 0.033 27.460 0.000
## CBCL_Q66_P 1.048 0.042 24.960 0.000
## CBCL_Q80_P 1.059 0.037 28.556 0.000
## CBCL_Q85_P 1.056 0.042 24.990 0.000
## CBCL_Q93_P 0.879 0.031 28.488 0.000
## Com6_Distractd 1.188 0.031 38.583 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 1.009 0.030 34.098 0.000
## CBCL_Q29_P 0.786 0.027 29.535 0.000
## CBCL_Q30_P 0.888 0.042 20.908 0.000
## CBCL_Q31_P 0.865 0.032 26.731 0.000
## CBCL_Q32_P 0.644 0.025 25.975 0.000
## CBCL_Q35_P 1.057 0.025 42.563 0.000
## CBCL_Q45_P 1.063 0.023 46.332 0.000
## CBCL_Q50_P 1.053 0.020 52.023 0.000
## CBCL_Q52_P 0.908 0.031 28.953 0.000
## CBCL_Q71_P 0.910 0.021 42.477 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 0.919 0.069 13.279 0.000
## CBCL_Q56B_P 0.857 0.061 13.978 0.000
## CBCL_Q56C_P 1.195 0.079 15.138 0.000
## CBCL_Q56D_P 0.710 0.081 8.745 0.000
## CBCL_Q56E_P 0.577 0.058 9.862 0.000
## CBCL_Q56F_P 1.073 0.069 15.511 0.000
## CBCL_Q56G_P 0.732 0.075 9.801 0.000
## CBCL_Q56H_P 0.950 0.098 9.707 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.128 0.045 24.888 0.000
## CBCL_Q42_P 0.831 0.038 22.124 0.000
## CBCL_Q65_P 1.016 0.048 21.137 0.000
## CBCL_Q75_P 0.770 0.039 19.943 0.000
## P =~
## Ext 0.632 0.011 55.912 0.000
## NDe 0.594 0.016 37.393 0.000
## Int 0.598 0.013 46.323 0.000
## Som 0.412 0.028 14.680 0.000
## Det 0.590 0.023 25.264 0.000
## Std.lv Std.all
##
## 0.775 0.775
## 0.554 0.554
## 0.638 0.638
## 0.650 0.650
## 0.722 0.722
## 0.740 0.740
## 0.691 0.691
## 0.696 0.696
## 0.713 0.713
## 0.768 0.768
## 0.523 0.523
## 0.695 0.695
## 0.733 0.733
## 0.772 0.772
## 0.472 0.472
## 0.569 0.569
## 0.779 0.779
## 0.779 0.779
## 0.751 0.751
## 0.751 0.751
## 0.593 0.593
## 0.608 0.608
## 0.765 0.765
## 0.572 0.572
## 0.752 0.752
## 0.767 0.767
## 0.799 0.799
## 0.696 0.696
## 0.764 0.764
##
## 0.676 0.676
## 0.748 0.748
## 0.761 0.761
## 0.727 0.727
## 0.599 0.599
## 0.563 0.563
## 0.636 0.636
## 0.716 0.716
## 0.667 0.667
## 0.612 0.612
## 0.708 0.708
## 0.715 0.715
## 0.714 0.714
## 0.594 0.594
## 0.803 0.803
##
## 0.763 0.763
## 0.770 0.770
## 0.599 0.599
## 0.678 0.678
## 0.660 0.660
## 0.492 0.492
## 0.806 0.806
## 0.811 0.811
## 0.804 0.804
## 0.693 0.693
## 0.694 0.694
##
## 0.704 0.704
## 0.647 0.647
## 0.604 0.604
## 0.842 0.842
## 0.500 0.500
## 0.406 0.406
## 0.756 0.756
## 0.516 0.516
## 0.670 0.670
##
## 0.767 0.767
## 0.865 0.865
## 0.637 0.637
## 0.779 0.779
## 0.591 0.591
##
## 0.816 0.816
## 0.880 0.880
## 0.784 0.784
## 0.585 0.585
## 0.769 0.769
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|)
## .CBCL_Q03_P 0.000
## .CBCL_Q07_P 0.000
## .CBCL_Q109_P 0.000
## .CBCL_Q15_P 0.000
## .CBCL_Q16_P 0.000
## .CBCL_Q19_P 0.000
## .CBCL_Q26_P 0.000
## .CBCL_Q27_P 0.000
## .CBCL_Q34_P 0.000
## .CBCL_Q37_P 0.000
## .CBCL_Q39_P 0.000
## .CBCL_Q43_P 0.000
## .CBCL_Q67_P 0.000
## .CBCL_Q68_P 0.000
## .CBCL_Q72_P 0.000
## .CBCL_Q74_P 0.000
## .CBCL_Q86_P 0.000
## .CBCL_Q87_P 0.000
## .CBCL_Q88_P 0.000
## .CBCL_Q89_P 0.000
## .CBCL_Q90_P 0.000
## .CBCL_Q94_P 0.000
## .CBCL_Q95_P 0.000
## .CBCL_Q96_P 0.000
## .Com1_Attack 0.000
## .Com2_Destroy 0.000
## .Com3_Disobeys 0.000
## .Com4_Steals 0.000
## .Com5_Peer 0.000
## .CBCL_Q01_P 0.000
## .CBCL_Q04_P 0.000
## .CBCL_Q09_P 0.000
## .CBCL_Q13_P 0.000
## .CBCL_Q17_P 0.000
## .CBCL_Q36_P 0.000
## .CBCL_Q46_P 0.000
## .CBCL_Q61_P 0.000
## .CBCL_Q62_P 0.000
## .CBCL_Q64_P 0.000
## .CBCL_Q66_P 0.000
## .CBCL_Q80_P 0.000
## .CBCL_Q85_P 0.000
## .CBCL_Q93_P 0.000
## .Com6_Distractd 0.000
## .CBCL_Q112_P 0.000
## .CBCL_Q12_P 0.000
## .CBCL_Q29_P 0.000
## .CBCL_Q30_P 0.000
## .CBCL_Q31_P 0.000
## .CBCL_Q32_P 0.000
## .CBCL_Q35_P 0.000
## .CBCL_Q45_P 0.000
## .CBCL_Q50_P 0.000
## .CBCL_Q52_P 0.000
## .CBCL_Q71_P 0.000
## .CBCL_Q51_P 0.000
## .CBCL_Q56A_P 0.000
## .CBCL_Q56B_P 0.000
## .CBCL_Q56C_P 0.000
## .CBCL_Q56D_P 0.000
## .CBCL_Q56E_P 0.000
## .CBCL_Q56F_P 0.000
## .CBCL_Q56G_P 0.000
## .CBCL_Q56H_P 0.000
## .CBCL_Q102_P 0.000
## .CBCL_Q111_P 0.000
## .CBCL_Q42_P 0.000
## .CBCL_Q65_P 0.000
## .CBCL_Q75_P 0.000
## .Ext 0.000
## .NDe 0.000
## .Int 0.000
## .Som 0.000
## .Det 0.000
## P 0.000
## Std.lv Std.all
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
##
## Thresholds:
## Estimate Std.Err z-value P(>|z|)
## CBCL_Q03_P|t1 0.094 0.018 5.193 0.000
## CBCL_Q03_P|t2 1.354 0.026 52.876 0.000
## CBCL_Q07_P|t1 0.629 0.019 32.359 0.000
## CBCL_Q07_P|t2 2.013 0.040 49.967 0.000
## CBCL_Q109_P|t1 0.519 0.019 27.325 0.000
## CBCL_Q109_P|t2 1.950 0.038 51.009 0.000
## CBCL_Q15_P|t1 2.404 0.058 41.218 0.000
## CBCL_Q15_P|t2 3.342 0.196 17.026 0.000
## CBCL_Q16_P|t1 1.453 0.027 53.703 0.000
## CBCL_Q16_P|t2 2.693 0.081 33.363 0.000
## CBCL_Q19_P|t1 0.767 0.020 38.059 0.000
## CBCL_Q19_P|t2 1.766 0.033 53.232 0.000
## CBCL_Q26_P|t1 1.206 0.024 50.723 0.000
## CBCL_Q26_P|t2 2.255 0.050 44.927 0.000
## CBCL_Q27_P|t1 0.800 0.020 39.299 0.000
## CBCL_Q27_P|t2 1.957 0.038 50.899 0.000
## CBCL_Q34_P|t1 1.618 0.030 54.015 0.000
## CBCL_Q34_P|t2 2.622 0.074 35.328 0.000
## CBCL_Q37_P|t1 1.919 0.037 51.464 0.000
## CBCL_Q37_P|t2 3.024 0.123 24.491 0.000
## CBCL_Q39_P|t1 1.541 0.029 54.031 0.000
## CBCL_Q39_P|t2 2.781 0.090 30.934 0.000
## CBCL_Q43_P|t1 0.749 0.020 37.353 0.000
## CBCL_Q43_P|t2 2.149 0.045 47.313 0.000
## CBCL_Q67_P|t1 2.693 0.081 33.363 0.000
## CBCL_Q67_P|t2 3.530 0.265 13.339 0.000
## CBCL_Q68_P|t1 1.242 0.024 51.337 0.000
## CBCL_Q68_P|t2 2.199 0.048 46.220 0.000
## CBCL_Q72_P|t1 2.591 0.072 36.186 0.000
## CBCL_Q72_P|t2 3.530 0.265 13.339 0.000
## CBCL_Q74_P|t1 0.587 0.019 30.483 0.000
## CBCL_Q74_P|t2 1.812 0.034 52.793 0.000
## CBCL_Q86_P|t1 0.388 0.019 20.863 0.000
## CBCL_Q86_P|t2 1.751 0.033 53.352 0.000
## CBCL_Q87_P|t1 0.859 0.021 41.425 0.000
## CBCL_Q87_P|t2 2.025 0.041 49.754 0.000
## CBCL_Q88_P|t1 1.101 0.023 48.516 0.000
## CBCL_Q88_P|t2 2.235 0.049 45.383 0.000
## CBCL_Q89_P|t1 1.929 0.038 51.319 0.000
## CBCL_Q89_P|t2 2.735 0.085 32.219 0.000
## CBCL_Q90_P|t1 1.545 0.029 54.036 0.000
## CBCL_Q90_P|t2 2.376 0.057 41.921 0.000
## CBCL_Q94_P|t1 1.305 0.025 52.282 0.000
## CBCL_Q94_P|t2 2.486 0.064 39.027 0.000
## CBCL_Q95_P|t1 0.614 0.019 31.689 0.000
## CBCL_Q95_P|t2 1.776 0.033 53.145 0.000
## CBCL_Q96_P|t1 2.475 0.063 39.330 0.000
## CBCL_Q96_P|t2 3.227 0.165 19.543 0.000
## Com1_Attack|t1 1.473 0.027 53.810 0.000
## Com1_Attack|t2 2.899 0.104 27.756 0.000
## Com2_Destry|t1 1.687 0.031 53.768 0.000
## Com2_Destry|t2 3.024 0.123 24.491 0.000
## Com3_Disbys|t1 0.739 0.020 36.944 0.000
## Com3_Disbys|t2 2.368 0.056 42.144 0.000
## Com4_Steals|t1 1.707 0.032 53.658 0.000
## Com4_Steals|t2 3.078 0.133 23.110 0.000
## Com5_Peer|t1 1.110 0.023 48.740 0.000
## Com5_Peer|t2 2.475 0.063 39.330 0.000
## CBCL_Q01_P|t1 0.798 0.020 39.246 0.000
## CBCL_Q01_P|t2 1.967 0.039 50.729 0.000
## CBCL_Q04_P|t1 0.222 0.018 12.166 0.000
## CBCL_Q04_P|t2 1.577 0.029 54.058 0.000
## CBCL_Q09_P|t1 0.615 0.019 31.744 0.000
## CBCL_Q09_P|t2 1.672 0.031 53.840 0.000
## CBCL_Q13_P|t1 1.645 0.030 53.943 0.000
## CBCL_Q13_P|t2 2.522 0.066 38.055 0.000
## CBCL_Q17_P|t1 0.561 0.019 29.302 0.000
## CBCL_Q17_P|t2 1.771 0.033 53.189 0.000
## CBCL_Q36_P|t1 1.008 0.022 46.123 0.000
## CBCL_Q36_P|t2 2.072 0.042 48.885 0.000
## CBCL_Q46_P|t1 1.251 0.024 51.485 0.000
## CBCL_Q46_P|t2 2.109 0.044 48.151 0.000
## CBCL_Q61_P|t1 1.191 0.024 50.444 0.000
## CBCL_Q61_P|t2 2.199 0.048 46.220 0.000
## CBCL_Q62_P|t1 1.191 0.024 50.444 0.000
## CBCL_Q62_P|t2 2.139 0.045 47.534 0.000
## CBCL_Q64_P|t1 0.998 0.022 45.855 0.000
## CBCL_Q64_P|t2 2.118 0.044 47.952 0.000
## CBCL_Q66_P|t1 1.560 0.029 54.053 0.000
## CBCL_Q66_P|t2 2.351 0.055 42.573 0.000
## CBCL_Q80_P|t1 1.408 0.026 53.388 0.000
## CBCL_Q80_P|t2 2.510 0.065 38.389 0.000
## CBCL_Q85_P|t1 1.550 0.029 54.043 0.000
## CBCL_Q85_P|t2 2.757 0.087 31.596 0.000
## CBCL_Q93_P|t1 0.633 0.019 32.526 0.000
## CBCL_Q93_P|t2 1.698 0.032 53.710 0.000
## Cm6_Dstrctd|t1 0.329 0.018 17.856 0.000
## Cm6_Dstrctd|t2 1.497 0.028 53.911 0.000
## CBCL_Q112_P|t1 0.262 0.018 14.324 0.000
## CBCL_Q112_P|t2 1.641 0.030 53.956 0.000
## CBCL_Q12_P|t1 1.180 0.023 50.220 0.000
## CBCL_Q12_P|t2 2.248 0.050 45.082 0.000
## CBCL_Q29_P|t1 0.903 0.021 42.910 0.000
## CBCL_Q29_P|t2 2.109 0.044 48.151 0.000
## CBCL_Q30_P|t1 1.700 0.032 53.697 0.000
## CBCL_Q30_P|t2 2.656 0.077 34.393 0.000
## CBCL_Q31_P|t1 1.365 0.026 52.987 0.000
## CBCL_Q31_P|t2 2.510 0.065 38.389 0.000
## CBCL_Q32_P|t1 0.487 0.019 25.794 0.000
## CBCL_Q32_P|t2 1.696 0.032 53.722 0.000
## CBCL_Q35_P|t1 1.050 0.022 47.248 0.000
## CBCL_Q35_P|t2 2.275 0.051 44.441 0.000
## CBCL_Q45_P|t1 0.806 0.020 39.514 0.000
## CBCL_Q45_P|t2 1.960 0.039 50.843 0.000
## CBCL_Q50_P|t1 0.706 0.020 35.629 0.000
## CBCL_Q50_P|t2 1.878 0.036 52.026 0.000
## CBCL_Q52_P|t1 1.444 0.027 53.648 0.000
## CBCL_Q52_P|t2 2.443 0.061 40.186 0.000
## CBCL_Q71_P|t1 0.107 0.018 5.885 0.000
## CBCL_Q71_P|t2 1.511 0.028 53.961 0.000
## CBCL_Q51_P|t1 1.739 0.033 53.443 0.000
## CBCL_Q51_P|t2 2.935 0.110 26.781 0.000
## CBCL_Q56A_P|t1 0.932 0.021 43.857 0.000
## CBCL_Q56A_P|t2 2.211 0.048 45.952 0.000
## CBCL_Q56B_P|t1 0.568 0.019 29.584 0.000
## CBCL_Q56B_P|t2 2.072 0.042 48.885 0.000
## CBCL_Q56C_P|t1 1.074 0.022 47.878 0.000
## CBCL_Q56C_P|t2 2.404 0.058 41.218 0.000
## CBCL_Q56D_P|t1 1.909 0.037 51.603 0.000
## CBCL_Q56D_P|t2 2.591 0.072 36.186 0.000
## CBCL_Q56E_P|t1 1.060 0.022 47.506 0.000
## CBCL_Q56E_P|t2 2.149 0.045 47.313 0.000
## CBCL_Q56F_P|t1 0.692 0.020 35.051 0.000
## CBCL_Q56F_P|t2 2.104 0.044 48.248 0.000
## CBCL_Q56G_P|t1 1.744 0.033 53.407 0.000
## CBCL_Q56G_P|t2 3.144 0.146 21.497 0.000
## CBCL_Q56H_P|t1 1.982 0.039 50.490 0.000
## CBCL_Q56H_P|t2 2.781 0.090 30.934 0.000
## CBCL_Q102_P|t1 1.490 0.028 53.887 0.000
## CBCL_Q102_P|t2 2.510 0.065 38.389 0.000
## CBCL_Q111_P|t1 1.518 0.028 53.980 0.000
## CBCL_Q111_P|t2 2.674 0.079 33.891 0.000
## CBCL_Q42_P|t1 0.941 0.021 44.136 0.000
## CBCL_Q42_P|t2 2.182 0.047 46.605 0.000
## CBCL_Q65_P|t1 1.437 0.027 53.600 0.000
## CBCL_Q65_P|t2 2.591 0.072 36.186 0.000
## CBCL_Q75_P|t1 0.847 0.021 41.030 0.000
## CBCL_Q75_P|t2 2.054 0.042 49.218 0.000
## Std.lv Std.all
## 0.094 0.094
## 1.354 1.354
## 0.629 0.629
## 2.013 2.013
## 0.519 0.519
## 1.950 1.950
## 2.404 2.404
## 3.342 3.342
## 1.453 1.453
## 2.693 2.693
## 0.767 0.767
## 1.766 1.766
## 1.206 1.206
## 2.255 2.255
## 0.800 0.800
## 1.957 1.957
## 1.618 1.618
## 2.622 2.622
## 1.919 1.919
## 3.024 3.024
## 1.541 1.541
## 2.781 2.781
## 0.749 0.749
## 2.149 2.149
## 2.693 2.693
## 3.530 3.530
## 1.242 1.242
## 2.199 2.199
## 2.591 2.591
## 3.530 3.530
## 0.587 0.587
## 1.812 1.812
## 0.388 0.388
## 1.751 1.751
## 0.859 0.859
## 2.025 2.025
## 1.101 1.101
## 2.235 2.235
## 1.929 1.929
## 2.735 2.735
## 1.545 1.545
## 2.376 2.376
## 1.305 1.305
## 2.486 2.486
## 0.614 0.614
## 1.776 1.776
## 2.475 2.475
## 3.227 3.227
## 1.473 1.473
## 2.899 2.899
## 1.687 1.687
## 3.024 3.024
## 0.739 0.739
## 2.368 2.368
## 1.707 1.707
## 3.078 3.078
## 1.110 1.110
## 2.475 2.475
## 0.798 0.798
## 1.967 1.967
## 0.222 0.222
## 1.577 1.577
## 0.615 0.615
## 1.672 1.672
## 1.645 1.645
## 2.522 2.522
## 0.561 0.561
## 1.771 1.771
## 1.008 1.008
## 2.072 2.072
## 1.251 1.251
## 2.109 2.109
## 1.191 1.191
## 2.199 2.199
## 1.191 1.191
## 2.139 2.139
## 0.998 0.998
## 2.118 2.118
## 1.560 1.560
## 2.351 2.351
## 1.408 1.408
## 2.510 2.510
## 1.550 1.550
## 2.757 2.757
## 0.633 0.633
## 1.698 1.698
## 0.329 0.329
## 1.497 1.497
## 0.262 0.262
## 1.641 1.641
## 1.180 1.180
## 2.248 2.248
## 0.903 0.903
## 2.109 2.109
## 1.700 1.700
## 2.656 2.656
## 1.365 1.365
## 2.510 2.510
## 0.487 0.487
## 1.696 1.696
## 1.050 1.050
## 2.275 2.275
## 0.806 0.806
## 1.960 1.960
## 0.706 0.706
## 1.878 1.878
## 1.444 1.444
## 2.443 2.443
## 0.107 0.107
## 1.511 1.511
## 1.739 1.739
## 2.935 2.935
## 0.932 0.932
## 2.211 2.211
## 0.568 0.568
## 2.072 2.072
## 1.074 1.074
## 2.404 2.404
## 1.909 1.909
## 2.591 2.591
## 1.060 1.060
## 2.149 2.149
## 0.692 0.692
## 2.104 2.104
## 1.744 1.744
## 3.144 3.144
## 1.982 1.982
## 2.781 2.781
## 1.490 1.490
## 2.510 2.510
## 1.518 1.518
## 2.674 2.674
## 0.941 0.941
## 2.182 2.182
## 1.437 1.437
## 2.591 2.591
## 0.847 0.847
## 2.054 2.054
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## P 1.000
## .CBCL_Q03_P 0.399
## .CBCL_Q07_P 0.693
## .CBCL_Q109_P 0.593
## .CBCL_Q15_P 0.577
## .CBCL_Q16_P 0.479
## .CBCL_Q19_P 0.452
## .CBCL_Q26_P 0.523
## .CBCL_Q27_P 0.516
## .CBCL_Q34_P 0.491
## .CBCL_Q37_P 0.409
## .CBCL_Q39_P 0.726
## .CBCL_Q43_P 0.517
## .CBCL_Q67_P 0.462
## .CBCL_Q68_P 0.404
## .CBCL_Q72_P 0.778
## .CBCL_Q74_P 0.676
## .CBCL_Q86_P 0.394
## .CBCL_Q87_P 0.393
## .CBCL_Q88_P 0.436
## .CBCL_Q89_P 0.436
## .CBCL_Q90_P 0.649
## .CBCL_Q94_P 0.630
## .CBCL_Q95_P 0.415
## .CBCL_Q96_P 0.673
## .Com1_Attack 0.435
## .Com2_Destroy 0.411
## .Com3_Disobeys 0.362
## .Com4_Steals 0.515
## .Com5_Peer 0.416
## .CBCL_Q01_P 0.544
## .CBCL_Q04_P 0.441
## .CBCL_Q09_P 0.420
## .CBCL_Q13_P 0.471
## .CBCL_Q17_P 0.641
## .CBCL_Q36_P 0.684
## .CBCL_Q46_P 0.596
## .CBCL_Q61_P 0.487
## .CBCL_Q62_P 0.556
## .CBCL_Q64_P 0.626
## .CBCL_Q66_P 0.499
## .CBCL_Q80_P 0.488
## .CBCL_Q85_P 0.491
## .CBCL_Q93_P 0.647
## .Com6_Distractd 0.355
## .CBCL_Q112_P 0.418
## .CBCL_Q12_P 0.408
## .CBCL_Q29_P 0.641
## .CBCL_Q30_P 0.541
## .CBCL_Q31_P 0.564
## .CBCL_Q32_P 0.758
## .CBCL_Q35_P 0.350
## .CBCL_Q45_P 0.342
## .CBCL_Q50_P 0.354
## .CBCL_Q52_P 0.520
## .CBCL_Q71_P 0.518
## .CBCL_Q51_P 0.504
## .CBCL_Q56A_P 0.581
## .CBCL_Q56B_P 0.635
## .CBCL_Q56C_P 0.291
## .CBCL_Q56D_P 0.750
## .CBCL_Q56E_P 0.835
## .CBCL_Q56F_P 0.429
## .CBCL_Q56G_P 0.734
## .CBCL_Q56H_P 0.552
## .CBCL_Q102_P 0.412
## .CBCL_Q111_P 0.252
## .CBCL_Q42_P 0.594
## .CBCL_Q65_P 0.393
## .CBCL_Q75_P 0.651
## .Ext 0.201 0.011 18.941 0.000
## .NDe 0.103 0.009 11.445 0.000
## .Int 0.225 0.012 18.978 0.000
## .Som 0.326 0.040 8.162 0.000
## .Det 0.240 0.021 11.583 0.000
## Std.lv Std.all
## 1.000 1.000
## 0.399 0.399
## 0.693 0.693
## 0.593 0.593
## 0.577 0.577
## 0.479 0.479
## 0.452 0.452
## 0.523 0.523
## 0.516 0.516
## 0.491 0.491
## 0.409 0.409
## 0.726 0.726
## 0.517 0.517
## 0.462 0.462
## 0.404 0.404
## 0.778 0.778
## 0.676 0.676
## 0.394 0.394
## 0.393 0.393
## 0.436 0.436
## 0.436 0.436
## 0.649 0.649
## 0.630 0.630
## 0.415 0.415
## 0.673 0.673
## 0.435 0.435
## 0.411 0.411
## 0.362 0.362
## 0.515 0.515
## 0.416 0.416
## 0.544 0.544
## 0.441 0.441
## 0.420 0.420
## 0.471 0.471
## 0.641 0.641
## 0.684 0.684
## 0.596 0.596
## 0.487 0.487
## 0.556 0.556
## 0.626 0.626
## 0.499 0.499
## 0.488 0.488
## 0.491 0.491
## 0.647 0.647
## 0.355 0.355
## 0.418 0.418
## 0.408 0.408
## 0.641 0.641
## 0.541 0.541
## 0.564 0.564
## 0.758 0.758
## 0.350 0.350
## 0.342 0.342
## 0.354 0.354
## 0.520 0.520
## 0.518 0.518
## 0.504 0.504
## 0.581 0.581
## 0.635 0.635
## 0.291 0.291
## 0.750 0.750
## 0.835 0.835
## 0.429 0.429
## 0.734 0.734
## 0.552 0.552
## 0.412 0.412
## 0.252 0.252
## 0.594 0.594
## 0.393 0.393
## 0.651 0.651
## 0.334 0.334
## 0.226 0.226
## 0.386 0.386
## 0.657 0.657
## 0.408 0.408
##
## Scales y*:
## Estimate Std.Err z-value P(>|z|)
## CBCL_Q03_P 1.000
## CBCL_Q07_P 1.000
## CBCL_Q109_P 1.000
## CBCL_Q15_P 1.000
## CBCL_Q16_P 1.000
## CBCL_Q19_P 1.000
## CBCL_Q26_P 1.000
## CBCL_Q27_P 1.000
## CBCL_Q34_P 1.000
## CBCL_Q37_P 1.000
## CBCL_Q39_P 1.000
## CBCL_Q43_P 1.000
## CBCL_Q67_P 1.000
## CBCL_Q68_P 1.000
## CBCL_Q72_P 1.000
## CBCL_Q74_P 1.000
## CBCL_Q86_P 1.000
## CBCL_Q87_P 1.000
## CBCL_Q88_P 1.000
## CBCL_Q89_P 1.000
## CBCL_Q90_P 1.000
## CBCL_Q94_P 1.000
## CBCL_Q95_P 1.000
## CBCL_Q96_P 1.000
## Com1_Attack 1.000
## Com2_Destroy 1.000
## Com3_Disobeys 1.000
## Com4_Steals 1.000
## Com5_Peer 1.000
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.000
## CBCL_Q09_P 1.000
## CBCL_Q13_P 1.000
## CBCL_Q17_P 1.000
## CBCL_Q36_P 1.000
## CBCL_Q46_P 1.000
## CBCL_Q61_P 1.000
## CBCL_Q62_P 1.000
## CBCL_Q64_P 1.000
## CBCL_Q66_P 1.000
## CBCL_Q80_P 1.000
## CBCL_Q85_P 1.000
## CBCL_Q93_P 1.000
## Com6_Distractd 1.000
## CBCL_Q112_P 1.000
## CBCL_Q12_P 1.000
## CBCL_Q29_P 1.000
## CBCL_Q30_P 1.000
## CBCL_Q31_P 1.000
## CBCL_Q32_P 1.000
## CBCL_Q35_P 1.000
## CBCL_Q45_P 1.000
## CBCL_Q50_P 1.000
## CBCL_Q52_P 1.000
## CBCL_Q71_P 1.000
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 1.000
## CBCL_Q56B_P 1.000
## CBCL_Q56C_P 1.000
## CBCL_Q56D_P 1.000
## CBCL_Q56E_P 1.000
## CBCL_Q56F_P 1.000
## CBCL_Q56G_P 1.000
## CBCL_Q56H_P 1.000
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.000
## CBCL_Q42_P 1.000
## CBCL_Q65_P 1.000
## CBCL_Q75_P 1.000
## Std.lv Std.all
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
##
## R-Square:
## Estimate
## CBCL_Q03_P 0.601
## CBCL_Q07_P 0.307
## CBCL_Q109_P 0.407
## CBCL_Q15_P 0.423
## CBCL_Q16_P 0.521
## CBCL_Q19_P 0.548
## CBCL_Q26_P 0.477
## CBCL_Q27_P 0.484
## CBCL_Q34_P 0.509
## CBCL_Q37_P 0.591
## CBCL_Q39_P 0.274
## CBCL_Q43_P 0.483
## CBCL_Q67_P 0.538
## CBCL_Q68_P 0.596
## CBCL_Q72_P 0.222
## CBCL_Q74_P 0.324
## CBCL_Q86_P 0.606
## CBCL_Q87_P 0.607
## CBCL_Q88_P 0.564
## CBCL_Q89_P 0.564
## CBCL_Q90_P 0.351
## CBCL_Q94_P 0.370
## CBCL_Q95_P 0.585
## CBCL_Q96_P 0.327
## Com1_Attack 0.565
## Com2_Destroy 0.589
## Com3_Disobeys 0.638
## Com4_Steals 0.485
## Com5_Peer 0.584
## CBCL_Q01_P 0.456
## CBCL_Q04_P 0.559
## CBCL_Q09_P 0.580
## CBCL_Q13_P 0.529
## CBCL_Q17_P 0.359
## CBCL_Q36_P 0.316
## CBCL_Q46_P 0.404
## CBCL_Q61_P 0.513
## CBCL_Q62_P 0.444
## CBCL_Q64_P 0.374
## CBCL_Q66_P 0.501
## CBCL_Q80_P 0.512
## CBCL_Q85_P 0.509
## CBCL_Q93_P 0.353
## Com6_Distractd 0.645
## CBCL_Q112_P 0.582
## CBCL_Q12_P 0.592
## CBCL_Q29_P 0.359
## CBCL_Q30_P 0.459
## CBCL_Q31_P 0.436
## CBCL_Q32_P 0.242
## CBCL_Q35_P 0.650
## CBCL_Q45_P 0.658
## CBCL_Q50_P 0.646
## CBCL_Q52_P 0.480
## CBCL_Q71_P 0.482
## CBCL_Q51_P 0.496
## CBCL_Q56A_P 0.419
## CBCL_Q56B_P 0.365
## CBCL_Q56C_P 0.709
## CBCL_Q56D_P 0.250
## CBCL_Q56E_P 0.165
## CBCL_Q56F_P 0.571
## CBCL_Q56G_P 0.266
## CBCL_Q56H_P 0.448
## CBCL_Q102_P 0.588
## CBCL_Q111_P 0.748
## CBCL_Q42_P 0.406
## CBCL_Q65_P 0.607
## CBCL_Q75_P 0.349
## Ext 0.666
## NDe 0.774
## Int 0.614
## Som 0.343
## Det 0.592knitr::kable(broom::tidy(CBCL.2ndOrderFitWLS), format = "html", row.names = TRUE) %>%
kableExtra::kable_styling(bootstrap_options = c("striped"),
full_width = T,
font_size = 15) %>%
kableExtra::scroll_box(height = "300px")| term | op | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Ext =~ CBCL_Q03_P | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.7750997 | 0.7750997 | 0.7750997 |
| 2 | Ext =~ CBCL_Q07_P | =~ | 0.7152877 | 0.0217413 | 32.899997 | 0.0000000 | 0.5544193 | 0.5544193 | 0.5544193 |
| 3 | Ext =~ CBCL_Q109_P | =~ | 0.8234716 | 0.0199242 | 41.330291 | 0.0000000 | 0.6382726 | 0.6382726 | 0.6382726 |
| 4 | Ext =~ CBCL_Q15_P | =~ | 0.8388019 | 0.0564233 | 14.866225 | 0.0000000 | 0.6501551 | 0.6501551 | 0.6501551 |
| 5 | Ext =~ CBCL_Q16_P | =~ | 0.9312337 | 0.0257955 | 36.100614 | 0.0000000 | 0.7217989 | 0.7217989 | 0.7217989 |
| 6 | Ext =~ CBCL_Q19_P | =~ | 0.9553473 | 0.0191177 | 49.971994 | 0.0000000 | 0.7404894 | 0.7404894 | 0.7404894 |
| 7 | Ext =~ CBCL_Q26_P | =~ | 0.8913109 | 0.0232809 | 38.285035 | 0.0000000 | 0.6908548 | 0.6908548 | 0.6908548 |
| 8 | Ext =~ CBCL_Q27_P | =~ | 0.8978821 | 0.0206887 | 43.399614 | 0.0000000 | 0.6959481 | 0.6959481 | 0.6959481 |
| 9 | Ext =~ CBCL_Q34_P | =~ | 0.9203791 | 0.0309336 | 29.753356 | 0.0000000 | 0.7133856 | 0.7133856 | 0.7133856 |
| 10 | Ext =~ CBCL_Q37_P | =~ | 0.9914325 | 0.0343990 | 28.821513 | 0.0000000 | 0.7684590 | 0.7684590 | 0.7684590 |
| 11 | Ext =~ CBCL_Q39_P | =~ | 0.6748131 | 0.0334522 | 20.172462 | 0.0000000 | 0.5230474 | 0.5230474 | 0.5230474 |
| 12 | Ext =~ CBCL_Q43_P | =~ | 0.8970654 | 0.0199907 | 44.874165 | 0.0000000 | 0.6953152 | 0.6953152 | 0.6953152 |
| 13 | Ext =~ CBCL_Q67_P | =~ | 0.9459596 | 0.0837491 | 11.295164 | 0.0000000 | 0.7332130 | 0.7332130 | 0.7332130 |
| 14 | Ext =~ CBCL_Q68_P | =~ | 0.9957726 | 0.0212784 | 46.797302 | 0.0000000 | 0.7718231 | 0.7718231 | 0.7718231 |
| 15 | Ext =~ CBCL_Q72_P | =~ | 0.6083997 | 0.0712331 | 8.540965 | 0.0000000 | 0.4715705 | 0.4715705 | 0.4715705 |
| 16 | Ext =~ CBCL_Q74_P | =~ | 0.7343227 | 0.0213691 | 34.363717 | 0.0000000 | 0.5691733 | 0.5691733 | 0.5691733 |
| 17 | Ext =~ CBCL_Q86_P | =~ | 1.0046302 | 0.0159468 | 62.998904 | 0.0000000 | 0.7786886 | 0.7786886 | 0.7786886 |
| 18 | Ext =~ CBCL_Q87_P | =~ | 1.0048916 | 0.0192589 | 52.178155 | 0.0000000 | 0.7788912 | 0.7788912 | 0.7788912 |
| 19 | Ext =~ CBCL_Q88_P | =~ | 0.9685832 | 0.0217518 | 44.528910 | 0.0000000 | 0.7507486 | 0.7507486 | 0.7507486 |
| 20 | Ext =~ CBCL_Q89_P | =~ | 0.9684815 | 0.0370564 | 26.135366 | 0.0000000 | 0.7506698 | 0.7506698 | 0.7506698 |
| 21 | Ext =~ CBCL_Q90_P | =~ | 0.7647822 | 0.0324704 | 23.553204 | 0.0000000 | 0.5927825 | 0.5927825 | 0.5927825 |
| 22 | Ext =~ CBCL_Q94_P | =~ | 0.7848438 | 0.0277065 | 28.327056 | 0.0000000 | 0.6083322 | 0.6083322 | 0.6083322 |
| 23 | Ext =~ CBCL_Q95_P | =~ | 0.9870150 | 0.0164245 | 60.094066 | 0.0000000 | 0.7650350 | 0.7650350 | 0.7650350 |
| 24 | Ext =~ CBCL_Q96_P | =~ | 0.7380258 | 0.0705906 | 10.455011 | 0.0000000 | 0.5720436 | 0.5720436 | 0.5720436 |
| 25 | Ext =~ Com1_Attack | =~ | 0.9699476 | 0.0254116 | 38.169534 | 0.0000000 | 0.7518061 | 0.7518061 | 0.7518061 |
| 26 | Ext =~ Com2_Destroy | =~ | 0.9901140 | 0.0291725 | 33.939975 | 0.0000000 | 0.7674371 | 0.7674371 | 0.7674371 |
| 27 | Ext =~ Com3_Disobeys | =~ | 1.0308828 | 0.0171299 | 60.180305 | 0.0000000 | 0.7990369 | 0.7990369 | 0.7990369 |
| 28 | Ext =~ Com4_Steals | =~ | 0.8983821 | 0.0333595 | 26.930345 | 0.0000000 | 0.6963357 | 0.6963357 | 0.6963357 |
| 29 | Ext =~ Com5_Peer | =~ | 0.9858666 | 0.0224703 | 43.874121 | 0.0000000 | 0.7641449 | 0.7641449 | 0.7641449 |
| 30 | NDe =~ CBCL_Q01_P | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.6755777 | 0.6755777 | 0.6755777 |
| 31 | NDe =~ CBCL_Q04_P | =~ | 1.1071041 | 0.0300720 | 36.815149 | 0.0000000 | 0.7479348 | 0.7479348 | 0.7479348 |
| 32 | NDe =~ CBCL_Q09_P | =~ | 1.1271493 | 0.0316305 | 35.634942 | 0.0000000 | 0.7614769 | 0.7614769 | 0.7614769 |
| 33 | NDe =~ CBCL_Q13_P | =~ | 1.0763074 | 0.0411487 | 26.156542 | 0.0000000 | 0.7271293 | 0.7271293 | 0.7271293 |
| 34 | NDe =~ CBCL_Q17_P | =~ | 0.8864047 | 0.0320180 | 27.684593 | 0.0000000 | 0.5988352 | 0.5988352 | 0.5988352 |
| 35 | NDe =~ CBCL_Q36_P | =~ | 0.8326227 | 0.0335477 | 24.819081 | 0.0000000 | 0.5625013 | 0.5625013 | 0.5625013 |
| 36 | NDe =~ CBCL_Q46_P | =~ | 0.9412441 | 0.0372005 | 25.301888 | 0.0000000 | 0.6358835 | 0.6358835 | 0.6358835 |
| 37 | NDe =~ CBCL_Q61_P | =~ | 1.0601409 | 0.0340306 | 31.152537 | 0.0000000 | 0.7162075 | 0.7162075 | 0.7162075 |
| 38 | NDe =~ CBCL_Q62_P | =~ | 0.9866980 | 0.0334050 | 29.537393 | 0.0000000 | 0.6665911 | 0.6665911 | 0.6665911 |
| 39 | NDe =~ CBCL_Q64_P | =~ | 0.9058096 | 0.0329870 | 27.459616 | 0.0000000 | 0.6119447 | 0.6119447 | 0.6119447 |
| 40 | NDe =~ CBCL_Q66_P | =~ | 1.0482087 | 0.0419962 | 24.959590 | 0.0000000 | 0.7081464 | 0.7081464 | 0.7081464 |
| 41 | NDe =~ CBCL_Q80_P | =~ | 1.0586655 | 0.0370737 | 28.555664 | 0.0000000 | 0.7152108 | 0.7152108 | 0.7152108 |
| 42 | NDe =~ CBCL_Q85_P | =~ | 1.0561347 | 0.0422628 | 24.989691 | 0.0000000 | 0.7135010 | 0.7135010 | 0.7135010 |
| 43 | NDe =~ CBCL_Q93_P | =~ | 0.8788676 | 0.0308510 | 28.487518 | 0.0000000 | 0.5937434 | 0.5937434 | 0.5937434 |
| 44 | NDe =~ Com6_Distracted | =~ | 1.1883629 | 0.0307999 | 38.583356 | 0.0000000 | 0.8028314 | 0.8028314 | 0.8028314 |
| 45 | Int =~ CBCL_Q112_P | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.7630070 | 0.7630070 | 0.7630070 |
| 46 | Int =~ CBCL_Q12_P | =~ | 1.0085669 | 0.0295782 | 34.098347 | 0.0000000 | 0.7695436 | 0.7695436 | 0.7695436 |
| 47 | Int =~ CBCL_Q29_P | =~ | 0.7856505 | 0.0266004 | 29.535261 | 0.0000000 | 0.5994568 | 0.5994568 | 0.5994568 |
| 48 | Int =~ CBCL_Q30_P | =~ | 0.8879623 | 0.0424707 | 20.907668 | 0.0000000 | 0.6775214 | 0.6775214 | 0.6775214 |
| 49 | Int =~ CBCL_Q31_P | =~ | 0.8654667 | 0.0323770 | 26.730884 | 0.0000000 | 0.6603571 | 0.6603571 | 0.6603571 |
| 50 | Int =~ CBCL_Q32_P | =~ | 0.6444044 | 0.0248083 | 25.975349 | 0.0000000 | 0.4916850 | 0.4916850 | 0.4916850 |
| 51 | Int =~ CBCL_Q35_P | =~ | 1.0565205 | 0.0248225 | 42.563072 | 0.0000000 | 0.8061325 | 0.8061325 | 0.8061325 |
| 52 | Int =~ CBCL_Q45_P | =~ | 1.0633071 | 0.0229497 | 46.331996 | 0.0000000 | 0.8113108 | 0.8113108 | 0.8113108 |
| 53 | Int =~ CBCL_Q50_P | =~ | 1.0530891 | 0.0202426 | 52.023438 | 0.0000000 | 0.8035143 | 0.8035143 | 0.8035143 |
| 54 | Int =~ CBCL_Q52_P | =~ | 0.9079567 | 0.0313601 | 28.952630 | 0.0000000 | 0.6927773 | 0.6927773 | 0.6927773 |
| 55 | Int =~ CBCL_Q71_P | =~ | 0.9098007 | 0.0214187 | 42.476915 | 0.0000000 | 0.6941843 | 0.6941843 | 0.6941843 |
| 56 | Som =~ CBCL_Q51_P | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.7044106 | 0.7044106 | 0.7044106 |
| 57 | Som =~ CBCL_Q56A_P | =~ | 0.9185294 | 0.0691728 | 13.278768 | 0.0000000 | 0.6470218 | 0.6470218 | 0.6470218 |
| 58 | Som =~ CBCL_Q56B_P | =~ | 0.8572880 | 0.0613320 | 13.977821 | 0.0000000 | 0.6038827 | 0.6038827 | 0.6038827 |
| 59 | Som =~ CBCL_Q56C_P | =~ | 1.1954850 | 0.0789730 | 15.137890 | 0.0000000 | 0.8421123 | 0.8421123 | 0.8421123 |
| 60 | Som =~ CBCL_Q56D_P | =~ | 0.7097306 | 0.0811594 | 8.744898 | 0.0000000 | 0.4999417 | 0.4999417 | 0.4999417 |
| 61 | Som =~ CBCL_Q56E_P | =~ | 0.5768123 | 0.0584872 | 9.862195 | 0.0000000 | 0.4063127 | 0.4063127 | 0.4063127 |
| 62 | Som =~ CBCL_Q56F_P | =~ | 1.0727961 | 0.0691650 | 15.510674 | 0.0000000 | 0.7556889 | 0.7556889 | 0.7556889 |
| 63 | Som =~ CBCL_Q56G_P | =~ | 0.7319798 | 0.0746806 | 9.801473 | 0.0000000 | 0.5156143 | 0.5156143 | 0.5156143 |
| 64 | Som =~ CBCL_Q56H_P | =~ | 0.9504812 | 0.0979144 | 9.707267 | 0.0000000 | 0.6695290 | 0.6695290 | 0.6695290 |
| 65 | Det =~ CBCL_Q102_P | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.7668766 | 0.7668766 | 0.7668766 |
| 66 | Det =~ CBCL_Q111_P | =~ | 1.1280918 | 0.0453259 | 24.888450 | 0.0000000 | 0.8651072 | 0.8651072 | 0.8651072 |
| 67 | Det =~ CBCL_Q42_P | =~ | 0.8308979 | 0.0375564 | 22.124011 | 0.0000000 | 0.6371962 | 0.6371962 | 0.6371962 |
| 68 | Det =~ CBCL_Q65_P | =~ | 1.0158014 | 0.0480573 | 21.137292 | 0.0000000 | 0.7789943 | 0.7789943 | 0.7789943 |
| 69 | Det =~ CBCL_Q75_P | =~ | 0.7703048 | 0.0386247 | 19.943333 | 0.0000000 | 0.5907287 | 0.5907287 | 0.5907287 |
| 70 | P =~ Ext | =~ | 0.6324811 | 0.0113122 | 55.911533 | 0.0000000 | 0.8159996 | 0.8159996 | 0.8159996 |
| 71 | P =~ NDe | =~ | 0.5942465 | 0.0158918 | 37.393304 | 0.0000000 | 0.8796125 | 0.8796125 | 0.8796125 |
| 72 | P =~ Int | =~ | 0.5979600 | 0.0129086 | 46.322554 | 0.0000000 | 0.7836888 | 0.7836888 | 0.7836888 |
| 73 | P =~ Som | =~ | 0.4123317 | 0.0280885 | 14.679714 | 0.0000000 | 0.5853570 | 0.5853570 | 0.5853570 |
| 74 | P =~ Det | =~ | 0.5899572 | 0.0233514 | 25.264372 | 0.0000000 | 0.7692987 | 0.7692987 | 0.7692987 |
| 75 | P ~~ P | ~~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 76 | CBCL_Q03_P | t1 | | | 0.0940588 | 0.0181135 | 5.192751 | 0.0000002 | 0.0940588 | 0.0940588 | 0.0940588 |
| 77 | CBCL_Q03_P | t2 | | | 1.3541550 | 0.0256102 | 52.875521 | 0.0000000 | 1.3541550 | 1.3541550 | 1.3541550 |
| 78 | CBCL_Q07_P | t1 | | | 0.6293157 | 0.0194480 | 32.358973 | 0.0000000 | 0.6293157 | 0.6293157 | 0.6293157 |
| 79 | CBCL_Q07_P | t2 | | | 2.0128549 | 0.0402838 | 49.966840 | 0.0000000 | 2.0128549 | 2.0128549 | 2.0128549 |
| 80 | CBCL_Q109_P | t1 | | | 0.5191393 | 0.0189985 | 27.325324 | 0.0000000 | 0.5191393 | 0.5191393 | 0.5191393 |
| 81 | CBCL_Q109_P | t2 | | | 1.9497382 | 0.0382237 | 51.008562 | 0.0000000 | 1.9497382 | 1.9497382 | 1.9497382 |
| 82 | CBCL_Q15_P | t1 | | | 2.4035562 | 0.0583139 | 41.217567 | 0.0000000 | 2.4035562 | 2.4035562 | 2.4035562 |
| 83 | CBCL_Q15_P | t2 | | | 3.3417102 | 0.1962663 | 17.026405 | 0.0000000 | 3.3417102 | 3.3417102 | 3.3417102 |
| 84 | CBCL_Q16_P | t1 | | | 1.4533441 | 0.0270627 | 53.702873 | 0.0000000 | 1.4533441 | 1.4533441 | 1.4533441 |
| 85 | CBCL_Q16_P | t2 | | | 2.6931786 | 0.0807238 | 33.362888 | 0.0000000 | 2.6931786 | 2.6931786 | 2.6931786 |
| 86 | CBCL_Q19_P | t1 | | | 0.7671973 | 0.0201580 | 38.059121 | 0.0000000 | 0.7671973 | 0.7671973 | 0.7671973 |
| 87 | CBCL_Q19_P | t2 | | | 1.7657639 | 0.0331713 | 53.231704 | 0.0000000 | 1.7657639 | 1.7657639 | 1.7657639 |
| 88 | CBCL_Q26_P | t1 | | | 1.2062350 | 0.0237808 | 50.723117 | 0.0000000 | 1.2062350 | 1.2062350 | 1.2062350 |
| 89 | CBCL_Q26_P | t2 | | | 2.2547895 | 0.0501882 | 44.926697 | 0.0000000 | 2.2547895 | 2.2547895 | 2.2547895 |
| 90 | CBCL_Q27_P | t1 | | | 0.7998228 | 0.0203520 | 39.299431 | 0.0000000 | 0.7998228 | 0.7998228 | 0.7998228 |
| 91 | CBCL_Q27_P | t2 | | | 1.9567685 | 0.0384441 | 50.899043 | 0.0000000 | 1.9567685 | 1.9567685 | 1.9567685 |
| 92 | CBCL_Q34_P | t1 | | | 1.6176168 | 0.0299474 | 54.015292 | 0.0000000 | 1.6176168 | 1.6176168 | 1.6176168 |
| 93 | CBCL_Q34_P | t2 | | | 2.6219543 | 0.0742165 | 35.328447 | 0.0000000 | 2.6219543 | 2.6219543 | 2.6219543 |
| 94 | CBCL_Q37_P | t1 | | | 1.9192381 | 0.0372928 | 51.463985 | 0.0000000 | 1.9192381 | 1.9192381 | 1.9192381 |
| 95 | CBCL_Q37_P | t2 | | | 3.0235935 | 0.1234588 | 24.490712 | 0.0000000 | 3.0235935 | 3.0235935 | 3.0235935 |
| 96 | CBCL_Q39_P | t1 | | | 1.5413540 | 0.0285273 | 54.030820 | 0.0000000 | 1.5413540 | 1.5413540 | 1.5413540 |
| 97 | CBCL_Q39_P | t2 | | | 2.7814206 | 0.0899149 | 30.933918 | 0.0000000 | 2.7814206 | 2.7814206 | 2.7814206 |
| 98 | CBCL_Q43_P | t1 | | | 0.7491140 | 0.0200550 | 37.353058 | 0.0000000 | 0.7491140 | 0.7491140 | 0.7491140 |
| 99 | CBCL_Q43_P | t2 | | | 2.1489256 | 0.0454189 | 47.313497 | 0.0000000 | 2.1489256 | 2.1489256 | 2.1489256 |
| 100 | CBCL_Q67_P | t1 | | | 2.6931786 | 0.0807238 | 33.362888 | 0.0000000 | 2.6931786 | 2.6931786 | 2.6931786 |
| 101 | CBCL_Q67_P | t2 | | | 3.5295165 | 0.2646036 | 13.338881 | 0.0000000 | 3.5295165 | 3.5295165 | 3.5295165 |
| 102 | CBCL_Q68_P | t1 | | | 1.2415445 | 0.0241841 | 51.337195 | 0.0000000 | 1.2415445 | 1.2415445 | 1.2415445 |
| 103 | CBCL_Q68_P | t2 | | | 2.1987821 | 0.0475717 | 46.220342 | 0.0000000 | 2.1987821 | 2.1987821 | 2.1987821 |
| 104 | CBCL_Q72_P | t1 | | | 2.5907985 | 0.0715975 | 36.185617 | 0.0000000 | 2.5907985 | 2.5907985 | 2.5907985 |
| 105 | CBCL_Q72_P | t2 | | | 3.5295165 | 0.2646036 | 13.338881 | 0.0000000 | 3.5295165 | 3.5295165 | 3.5295165 |
| 106 | CBCL_Q74_P | t1 | | | 0.5872500 | 0.0192646 | 30.483449 | 0.0000000 | 0.5872500 | 0.5872500 | 0.5872500 |
| 107 | CBCL_Q74_P | t2 | | | 1.8122880 | 0.0343283 | 52.792776 | 0.0000000 | 1.8122880 | 1.8122880 | 1.8122880 |
| 108 | CBCL_Q86_P | t1 | | | 0.3877944 | 0.0185873 | 20.863388 | 0.0000000 | 0.3877944 | 0.3877944 | 0.3877944 |
| 109 | CBCL_Q86_P | t2 | | | 1.7510727 | 0.0328212 | 53.351831 | 0.0000000 | 1.7510727 | 1.7510727 | 1.7510727 |
| 110 | CBCL_Q87_P | t1 | | | 0.8586966 | 0.0207290 | 41.424865 | 0.0000000 | 0.8586966 | 0.8586966 | 0.8586966 |
| 111 | CBCL_Q87_P | t2 | | | 2.0248679 | 0.0406975 | 49.754125 | 0.0000000 | 2.0248679 | 2.0248679 | 2.0248679 |
| 112 | CBCL_Q88_P | t1 | | | 1.1007071 | 0.0226876 | 48.515845 | 0.0000000 | 1.1007071 | 1.1007071 | 1.1007071 |
| 113 | CBCL_Q88_P | t2 | | | 2.2353329 | 0.0492543 | 45.383463 | 0.0000000 | 2.2353329 | 2.2353329 | 2.2353329 |
| 114 | CBCL_Q89_P | t1 | | | 1.9292064 | 0.0375927 | 51.318705 | 0.0000000 | 1.9292064 | 1.9292064 | 1.9292064 |
| 115 | CBCL_Q89_P | t2 | | | 2.7346430 | 0.0848760 | 32.219272 | 0.0000000 | 2.7346430 | 2.7346430 | 2.7346430 |
| 116 | CBCL_Q90_P | t1 | | | 1.5447861 | 0.0285881 | 54.036023 | 0.0000000 | 1.5447861 | 1.5447861 | 1.5447861 |
| 117 | CBCL_Q90_P | t2 | | | 2.3763382 | 0.0566861 | 41.920982 | 0.0000000 | 2.3763382 | 2.3763382 | 2.3763382 |
| 118 | CBCL_Q94_P | t1 | | | 1.3049103 | 0.0249593 | 52.281531 | 0.0000000 | 1.3049103 | 1.3049103 | 1.3049103 |
| 119 | CBCL_Q94_P | t2 | | | 2.4863551 | 0.0637093 | 39.026538 | 0.0000000 | 2.4863551 | 2.4863551 | 2.4863551 |
| 120 | CBCL_Q95_P | t1 | | | 0.6141230 | 0.0193800 | 31.688502 | 0.0000000 | 0.6141230 | 0.6141230 | 0.6141230 |
| 121 | CBCL_Q95_P | t2 | | | 1.7757739 | 0.0334139 | 53.144721 | 0.0000000 | 1.7757739 | 1.7757739 | 1.7757739 |
| 122 | CBCL_Q96_P | t1 | | | 2.4750372 | 0.0629301 | 39.329948 | 0.0000000 | 2.4750372 | 2.4750372 | 2.4750372 |
| 123 | CBCL_Q96_P | t2 | | | 3.2274568 | 0.1651454 | 19.543127 | 0.0000000 | 3.2274568 | 3.2274568 | 3.2274568 |
| 124 | Com1_Attack | t1 | | | 1.4731297 | 0.0273768 | 53.809505 | 0.0000000 | 1.4731297 | 1.4731297 | 1.4731297 |
| 125 | Com1_Attack | t2 | | | 2.8987213 | 0.1044346 | 27.756330 | 0.0000000 | 2.8987213 | 2.8987213 | 2.8987213 |
| 126 | Com2_Destroy | t1 | | | 1.6870677 | 0.0313768 | 53.768054 | 0.0000000 | 1.6870677 | 1.6870677 | 1.6870677 |
| 127 | Com2_Destroy | t2 | | | 3.0235935 | 0.1234588 | 24.490712 | 0.0000000 | 3.0235935 | 3.0235935 | 3.0235935 |
| 128 | Com3_Disobeys | t1 | | | 0.7387920 | 0.0199975 | 36.944204 | 0.0000000 | 0.7387920 | 0.7387920 | 0.7387920 |
| 129 | Com3_Disobeys | t2 | | | 2.3676441 | 0.0561804 | 42.143618 | 0.0000000 | 2.3676441 | 2.3676441 | 2.3676441 |
| 130 | Com4_Steals | t1 | | | 1.7068848 | 0.0318104 | 53.658094 | 0.0000000 | 1.7068848 | 1.7068848 | 1.7068848 |
| 131 | Com4_Steals | t2 | | | 3.0783363 | 0.1332023 | 23.110231 | 0.0000000 | 3.0783363 | 3.0783363 | 3.0783363 |
| 132 | Com5_Peer | t1 | | | 1.1103205 | 0.0227806 | 48.739813 | 0.0000000 | 1.1103205 | 1.1103205 | 1.1103205 |
| 133 | Com5_Peer | t2 | | | 2.4750372 | 0.0629301 | 39.329948 | 0.0000000 | 2.4750372 | 2.4750372 | 2.4750372 |
| 134 | CBCL_Q01_P | t1 | | | 0.7983867 | 0.0203433 | 39.245758 | 0.0000000 | 0.7983867 | 0.7983867 | 0.7983867 |
| 135 | CBCL_Q01_P | t2 | | | 1.9674988 | 0.0387847 | 50.728673 | 0.0000000 | 1.9674988 | 1.9674988 | 1.9674988 |
| 136 | CBCL_Q04_P | t1 | | | 0.2220010 | 0.0182473 | 12.166270 | 0.0000000 | 0.2220010 | 0.2220010 | 0.2220010 |
| 137 | CBCL_Q04_P | t2 | | | 1.5765277 | 0.0291638 | 54.057614 | 0.0000000 | 1.5765277 | 1.5765277 | 1.5765277 |
| 138 | CBCL_Q09_P | t1 | | | 0.6153836 | 0.0193856 | 31.744435 | 0.0000000 | 0.6153836 | 0.6153836 | 0.6153836 |
| 139 | CBCL_Q09_P | t2 | | | 1.6721001 | 0.0310570 | 53.839646 | 0.0000000 | 1.6721001 | 1.6721001 | 1.6721001 |
| 140 | CBCL_Q13_P | t1 | | | 1.6452574 | 0.0304999 | 53.942987 | 0.0000000 | 1.6452574 | 1.6452574 | 1.6452574 |
| 141 | CBCL_Q13_P | t2 | | | 2.5223625 | 0.0662827 | 38.054594 | 0.0000000 | 2.5223625 | 2.5223625 | 2.5223625 |
| 142 | CBCL_Q17_P | t1 | | | 0.5614054 | 0.0191592 | 29.302178 | 0.0000000 | 0.5614054 | 0.5614054 | 0.5614054 |
| 143 | CBCL_Q17_P | t2 | | | 1.7707467 | 0.0332916 | 53.188922 | 0.0000000 | 1.7707467 | 1.7707467 | 1.7707467 |
| 144 | CBCL_Q36_P | t1 | | | 1.0079286 | 0.0218531 | 46.122865 | 0.0000000 | 1.0079286 | 1.0079286 | 1.0079286 |
| 145 | CBCL_Q36_P | t2 | | | 2.0716144 | 0.0423773 | 48.884999 | 0.0000000 | 2.0716144 | 2.0716144 | 2.0716144 |
| 146 | CBCL_Q46_P | t1 | | | 1.2506174 | 0.0242910 | 51.484839 | 0.0000000 | 1.2506174 | 1.2506174 | 1.2506174 |
| 147 | CBCL_Q46_P | t2 | | | 2.1086957 | 0.0437933 | 48.151104 | 0.0000000 | 2.1086957 | 2.1086957 | 2.1086957 |
| 148 | CBCL_Q61_P | t1 | | | 1.1912502 | 0.0236155 | 50.443560 | 0.0000000 | 1.1912502 | 1.1912502 | 1.1912502 |
| 149 | CBCL_Q61_P | t2 | | | 2.1987821 | 0.0475717 | 46.220342 | 0.0000000 | 2.1987821 | 2.1987821 | 2.1987821 |
| 150 | CBCL_Q62_P | t1 | | | 1.1912502 | 0.0236155 | 50.443560 | 0.0000000 | 1.1912502 | 1.1912502 | 1.1912502 |
| 151 | CBCL_Q62_P | t2 | | | 2.1385400 | 0.0449900 | 47.533687 | 0.0000000 | 2.1385400 | 2.1385400 | 2.1385400 |
| 152 | CBCL_Q64_P | t1 | | | 0.9984354 | 0.0217739 | 45.854683 | 0.0000000 | 0.9984354 | 0.9984354 | 0.9984354 |
| 153 | CBCL_Q64_P | t2 | | | 2.1184353 | 0.0441781 | 47.952160 | 0.0000000 | 2.1184353 | 2.1184353 | 2.1184353 |
| 154 | CBCL_Q66_P | t1 | | | 1.5604604 | 0.0288693 | 54.052654 | 0.0000000 | 1.5604604 | 1.5604604 | 1.5604604 |
| 155 | CBCL_Q66_P | t2 | | | 2.3507744 | 0.0552180 | 42.572590 | 0.0000000 | 2.3507744 | 2.3507744 | 2.3507744 |
| 156 | CBCL_Q80_P | t1 | | | 1.4083274 | 0.0263790 | 53.388180 | 0.0000000 | 1.4083274 | 1.4083274 | 1.4083274 |
| 157 | CBCL_Q80_P | t2 | | | 2.5099954 | 0.0653824 | 38.389482 | 0.0000000 | 2.5099954 | 2.5099954 | 2.5099954 |
| 158 | CBCL_Q85_P | t1 | | | 1.5499686 | 0.0286804 | 54.042816 | 0.0000000 | 1.5499686 | 1.5499686 | 1.5499686 |
| 159 | CBCL_Q85_P | t2 | | | 2.7572781 | 0.0872654 | 31.596456 | 0.0000000 | 2.7572781 | 2.7572781 | 2.7572781 |
| 160 | CBCL_Q93_P | t1 | | | 0.6331366 | 0.0194654 | 32.526337 | 0.0000000 | 0.6331366 | 0.6331366 | 0.6331366 |
| 161 | CBCL_Q93_P | t2 | | | 1.6979948 | 0.0316144 | 53.709548 | 0.0000000 | 1.6979948 | 1.6979948 | 1.6979948 |
| 162 | Com6_Distracted | t1 | | | 0.3293624 | 0.0184454 | 17.856087 | 0.0000000 | 0.3293624 | 0.3293624 | 0.3293624 |
| 163 | Com6_Distracted | t2 | | | 1.4967002 | 0.0277622 | 53.911498 | 0.0000000 | 1.4967002 | 1.4967002 | 1.4967002 |
| 164 | CBCL_Q112_P | t1 | | | 0.2623014 | 0.0183123 | 14.323798 | 0.0000000 | 0.2623014 | 0.2623014 | 0.2623014 |
| 165 | CBCL_Q112_P | t2 | | | 1.6412315 | 0.0304181 | 53.955686 | 0.0000000 | 1.6412315 | 1.6412315 | 1.6412315 |
| 166 | CBCL_Q12_P | t1 | | | 1.1796615 | 0.0234900 | 50.219635 | 0.0000000 | 1.1796615 | 1.1796615 | 1.1796615 |
| 167 | CBCL_Q12_P | t2 | | | 2.2482090 | 0.0498693 | 45.082023 | 0.0000000 | 2.2482090 | 2.2482090 | 2.2482090 |
| 168 | CBCL_Q29_P | t1 | | | 0.9025257 | 0.0210332 | 42.909551 | 0.0000000 | 0.9025257 | 0.9025257 | 0.9025257 |
| 169 | CBCL_Q29_P | t2 | | | 2.1086957 | 0.0437933 | 48.151104 | 0.0000000 | 2.1086957 | 2.1086957 | 2.1086957 |
| 170 | CBCL_Q30_P | t1 | | | 1.7002047 | 0.0316629 | 53.697079 | 0.0000000 | 1.7002047 | 1.7002047 | 1.7002047 |
| 171 | CBCL_Q30_P | t2 | | | 2.6558843 | 0.0772226 | 34.392568 | 0.0000000 | 2.6558843 | 2.6558843 | 2.6558843 |
| 172 | CBCL_Q31_P | t1 | | | 1.3646713 | 0.0257551 | 52.986550 | 0.0000000 | 1.3646713 | 1.3646713 | 1.3646713 |
| 173 | CBCL_Q31_P | t2 | | | 2.5099954 | 0.0653824 | 38.389482 | 0.0000000 | 2.5099954 | 2.5099954 | 2.5099954 |
| 174 | CBCL_Q32_P | t1 | | | 0.4871601 | 0.0188863 | 25.794417 | 0.0000000 | 0.4871601 | 0.4871601 | 0.4871601 |
| 175 | CBCL_Q32_P | t2 | | | 1.6957931 | 0.0315662 | 53.721757 | 0.0000000 | 1.6957931 | 1.6957931 | 1.6957931 |
| 176 | CBCL_Q35_P | t1 | | | 1.0495572 | 0.0222138 | 47.248082 | 0.0000000 | 1.0495572 | 1.0495572 | 1.0495572 |
| 177 | CBCL_Q35_P | t2 | | | 2.2751391 | 0.0511945 | 44.441094 | 0.0000000 | 2.2751391 | 2.2751391 | 2.2751391 |
| 178 | CBCL_Q45_P | t1 | | | 0.8055837 | 0.0203874 | 39.513882 | 0.0000000 | 0.8055837 | 0.8055837 | 0.8055837 |
| 179 | CBCL_Q45_P | t2 | | | 1.9603203 | 0.0385563 | 50.843078 | 0.0000000 | 1.9603203 | 1.9603203 | 1.9603203 |
| 180 | CBCL_Q50_P | t1 | | | 0.7062758 | 0.0198230 | 35.629073 | 0.0000000 | 0.7062758 | 0.7062758 | 0.7062758 |
| 181 | CBCL_Q50_P | t2 | | | 1.8781082 | 0.0360996 | 52.025734 | 0.0000000 | 1.8781082 | 1.8781082 | 1.8781082 |
| 182 | CBCL_Q52_P | t1 | | | 1.4444012 | 0.0269235 | 53.648348 | 0.0000000 | 1.4444012 | 1.4444012 | 1.4444012 |
| 183 | CBCL_Q52_P | t2 | | | 2.4428649 | 0.0607888 | 40.186081 | 0.0000000 | 2.4428649 | 2.4428649 | 2.4428649 |
| 184 | CBCL_Q71_P | t1 | | | 0.1066448 | 0.0181218 | 5.884890 | 0.0000000 | 0.1066448 | 0.1066448 | 0.1066448 |
| 185 | CBCL_Q71_P | t2 | | | 1.5112515 | 0.0280064 | 53.960957 | 0.0000000 | 1.5112515 | 1.5112515 | 1.5112515 |
| 186 | CBCL_Q51_P | t1 | | | 1.7391124 | 0.0325415 | 53.442941 | 0.0000000 | 1.7391124 | 1.7391124 | 1.7391124 |
| 187 | CBCL_Q51_P | t2 | | | 2.9354579 | 0.1096110 | 26.780687 | 0.0000000 | 2.9354579 | 2.9354579 | 2.9354579 |
| 188 | CBCL_Q56A_P | t1 | | | 0.9319278 | 0.0212491 | 43.857384 | 0.0000000 | 0.9319278 | 0.9319278 | 0.9319278 |
| 189 | CBCL_Q56A_P | t2 | | | 2.2106399 | 0.0481076 | 45.951979 | 0.0000000 | 2.2106399 | 2.2106399 | 2.2106399 |
| 190 | CBCL_Q56B_P | t1 | | | 0.5675243 | 0.0191836 | 29.583787 | 0.0000000 | 0.5675243 | 0.5675243 | 0.5675243 |
| 191 | CBCL_Q56B_P | t2 | | | 2.0716144 | 0.0423773 | 48.884999 | 0.0000000 | 2.0716144 | 2.0716144 | 2.0716144 |
| 192 | CBCL_Q56C_P | t1 | | | 1.0743159 | 0.0224388 | 47.877669 | 0.0000000 | 1.0743159 | 1.0743159 | 1.0743159 |
| 193 | CBCL_Q56C_P | t2 | | | 2.4035562 | 0.0583139 | 41.217567 | 0.0000000 | 2.4035562 | 2.4035562 | 2.4035562 |
| 194 | CBCL_Q56D_P | t1 | | | 1.9094570 | 0.0370027 | 51.603116 | 0.0000000 | 1.9094570 | 1.9094570 | 1.9094570 |
| 195 | CBCL_Q56D_P | t2 | | | 2.5907985 | 0.0715975 | 36.185617 | 0.0000000 | 2.5907985 | 2.5907985 | 2.5907985 |
| 196 | CBCL_Q56E_P | t1 | | | 1.0595657 | 0.0223037 | 47.506171 | 0.0000000 | 1.0595657 | 1.0595657 | 1.0595657 |
| 197 | CBCL_Q56E_P | t2 | | | 2.1489256 | 0.0454189 | 47.313497 | 0.0000000 | 2.1489256 | 2.1489256 | 2.1489256 |
| 198 | CBCL_Q56F_P | t1 | | | 0.6922834 | 0.0197509 | 35.050703 | 0.0000000 | 0.6922834 | 0.6922834 | 0.6922834 |
| 199 | CBCL_Q56F_P | t2 | | | 2.1038999 | 0.0436058 | 48.248137 | 0.0000000 | 2.1038999 | 2.1038999 | 2.1038999 |
| 200 | CBCL_Q56G_P | t1 | | | 1.7438666 | 0.0326521 | 53.407448 | 0.0000000 | 1.7438666 | 1.7438666 | 1.7438666 |
| 201 | CBCL_Q56G_P | t2 | | | 3.1442240 | 0.1462616 | 21.497262 | 0.0000000 | 3.1442240 | 3.1442240 | 3.1442240 |
| 202 | CBCL_Q56H_P | t1 | | | 1.9821679 | 0.0392590 | 50.489572 | 0.0000000 | 1.9821679 | 1.9821679 | 1.9821679 |
| 203 | CBCL_Q56H_P | t2 | | | 2.7814206 | 0.0899149 | 30.933918 | 0.0000000 | 2.7814206 | 2.7814206 | 2.7814206 |
| 204 | CBCL_Q102_P | t1 | | | 1.4903336 | 0.0276568 | 53.886621 | 0.0000000 | 1.4903336 | 1.4903336 | 1.4903336 |
| 205 | CBCL_Q102_P | t2 | | | 2.5099954 | 0.0653824 | 38.389482 | 0.0000000 | 2.5099954 | 2.5099954 | 2.5099954 |
| 206 | CBCL_Q111_P | t1 | | | 1.5178226 | 0.0281183 | 53.979931 | 0.0000000 | 1.5178226 | 1.5178226 | 1.5178226 |
| 207 | CBCL_Q111_P | t2 | | | 2.6740667 | 0.0789030 | 33.890569 | 0.0000000 | 2.6740667 | 2.6740667 | 2.6740667 |
| 208 | CBCL_Q42_P | t1 | | | 0.9408254 | 0.0213163 | 44.136464 | 0.0000000 | 0.9408254 | 0.9408254 | 0.9408254 |
| 209 | CBCL_Q42_P | t2 | | | 2.1815551 | 0.0468098 | 46.604622 | 0.0000000 | 2.1815551 | 2.1815551 | 2.1815551 |
| 210 | CBCL_Q65_P | t1 | | | 1.4370361 | 0.0268101 | 53.600474 | 0.0000000 | 1.4370361 | 1.4370361 | 1.4370361 |
| 211 | CBCL_Q65_P | t2 | | | 2.5907985 | 0.0715975 | 36.185617 | 0.0000000 | 2.5907985 | 2.5907985 | 2.5907985 |
| 212 | CBCL_Q75_P | t1 | | | 0.8474350 | 0.0206541 | 41.029772 | 0.0000000 | 0.8474350 | 0.8474350 | 0.8474350 |
| 213 | CBCL_Q75_P | t2 | | | 2.0540930 | 0.0417343 | 49.218311 | 0.0000000 | 2.0540930 | 2.0540930 | 2.0540930 |
| 214 | CBCL_Q03_P ~~ CBCL_Q03_P | ~~ | 0.3992204 | 0.0000000 | NA | NA | 0.3992204 | 0.3992204 | 0.3992204 |
| 215 | CBCL_Q07_P ~~ CBCL_Q07_P | ~~ | 0.6926192 | 0.0000000 | NA | NA | 0.6926192 | 0.6926192 | 0.6926192 |
| 216 | CBCL_Q109_P ~~ CBCL_Q109_P | ~~ | 0.5926081 | 0.0000000 | NA | NA | 0.5926081 | 0.5926081 | 0.5926081 |
| 217 | CBCL_Q15_P ~~ CBCL_Q15_P | ~~ | 0.5772984 | 0.0000000 | NA | NA | 0.5772984 | 0.5772984 | 0.5772984 |
| 218 | CBCL_Q16_P ~~ CBCL_Q16_P | ~~ | 0.4790063 | 0.0000000 | NA | NA | 0.4790063 | 0.4790063 | 0.4790063 |
| 219 | CBCL_Q19_P ~~ CBCL_Q19_P | ~~ | 0.4516754 | 0.0000000 | NA | NA | 0.4516754 | 0.4516754 | 0.4516754 |
| 220 | CBCL_Q26_P ~~ CBCL_Q26_P | ~~ | 0.5227196 | 0.0000000 | NA | NA | 0.5227196 | 0.5227196 | 0.5227196 |
| 221 | CBCL_Q27_P ~~ CBCL_Q27_P | ~~ | 0.5156562 | 0.0000000 | NA | NA | 0.5156562 | 0.5156562 | 0.5156562 |
| 222 | CBCL_Q34_P ~~ CBCL_Q34_P | ~~ | 0.4910810 | 0.0000000 | NA | NA | 0.4910810 | 0.4910810 | 0.4910810 |
| 223 | CBCL_Q37_P ~~ CBCL_Q37_P | ~~ | 0.4094707 | 0.0000000 | NA | NA | 0.4094707 | 0.4094707 | 0.4094707 |
| 224 | CBCL_Q39_P ~~ CBCL_Q39_P | ~~ | 0.7264214 | 0.0000000 | NA | NA | 0.7264214 | 0.7264214 | 0.7264214 |
| 225 | CBCL_Q43_P ~~ CBCL_Q43_P | ~~ | 0.5165368 | 0.0000000 | NA | NA | 0.5165368 | 0.5165368 | 0.5165368 |
| 226 | CBCL_Q67_P ~~ CBCL_Q67_P | ~~ | 0.4623986 | 0.0000000 | NA | NA | 0.4623986 | 0.4623986 | 0.4623986 |
| 227 | CBCL_Q68_P ~~ CBCL_Q68_P | ~~ | 0.4042892 | 0.0000000 | NA | NA | 0.4042892 | 0.4042892 | 0.4042892 |
| 228 | CBCL_Q72_P ~~ CBCL_Q72_P | ~~ | 0.7776213 | 0.0000000 | NA | NA | 0.7776213 | 0.7776213 | 0.7776213 |
| 229 | CBCL_Q74_P ~~ CBCL_Q74_P | ~~ | 0.6760417 | 0.0000000 | NA | NA | 0.6760417 | 0.6760417 | 0.6760417 |
| 230 | CBCL_Q86_P ~~ CBCL_Q86_P | ~~ | 0.3936441 | 0.0000000 | NA | NA | 0.3936441 | 0.3936441 | 0.3936441 |
| 231 | CBCL_Q87_P ~~ CBCL_Q87_P | ~~ | 0.3933286 | 0.0000000 | NA | NA | 0.3933286 | 0.3933286 | 0.3933286 |
| 232 | CBCL_Q88_P ~~ CBCL_Q88_P | ~~ | 0.4363765 | 0.0000000 | NA | NA | 0.4363765 | 0.4363765 | 0.4363765 |
| 233 | CBCL_Q89_P ~~ CBCL_Q89_P | ~~ | 0.4364949 | 0.0000000 | NA | NA | 0.4364949 | 0.4364949 | 0.4364949 |
| 234 | CBCL_Q90_P ~~ CBCL_Q90_P | ~~ | 0.6486089 | 0.0000000 | NA | NA | 0.6486089 | 0.6486089 | 0.6486089 |
| 235 | CBCL_Q94_P ~~ CBCL_Q94_P | ~~ | 0.6299320 | 0.0000000 | NA | NA | 0.6299320 | 0.6299320 | 0.6299320 |
| 236 | CBCL_Q95_P ~~ CBCL_Q95_P | ~~ | 0.4147214 | 0.0000000 | NA | NA | 0.4147214 | 0.4147214 | 0.4147214 |
| 237 | CBCL_Q96_P ~~ CBCL_Q96_P | ~~ | 0.6727662 | 0.0000000 | NA | NA | 0.6727662 | 0.6727662 | 0.6727662 |
| 238 | Com1_Attack ~~ Com1_Attack | ~~ | 0.4347876 | 0.0000000 | NA | NA | 0.4347876 | 0.4347876 | 0.4347876 |
| 239 | Com2_Destroy ~~ Com2_Destroy | ~~ | 0.4110403 | 0.0000000 | NA | NA | 0.4110403 | 0.4110403 | 0.4110403 |
| 240 | Com3_Disobeys ~~ Com3_Disobeys | ~~ | 0.3615400 | 0.0000000 | NA | NA | 0.3615400 | 0.3615400 | 0.3615400 |
| 241 | Com4_Steals ~~ Com4_Steals | ~~ | 0.5151166 | 0.0000000 | NA | NA | 0.5151166 | 0.5151166 | 0.5151166 |
| 242 | Com5_Peer ~~ Com5_Peer | ~~ | 0.4160826 | 0.0000000 | NA | NA | 0.4160826 | 0.4160826 | 0.4160826 |
| 243 | CBCL_Q01_P ~~ CBCL_Q01_P | ~~ | 0.5435948 | 0.0000000 | NA | NA | 0.5435948 | 0.5435948 | 0.5435948 |
| 244 | CBCL_Q04_P ~~ CBCL_Q04_P | ~~ | 0.4405935 | 0.0000000 | NA | NA | 0.4405935 | 0.4405935 | 0.4405935 |
| 245 | CBCL_Q09_P ~~ CBCL_Q09_P | ~~ | 0.4201529 | 0.0000000 | NA | NA | 0.4201529 | 0.4201529 | 0.4201529 |
| 246 | CBCL_Q13_P ~~ CBCL_Q13_P | ~~ | 0.4712830 | 0.0000000 | NA | NA | 0.4712830 | 0.4712830 | 0.4712830 |
| 247 | CBCL_Q17_P ~~ CBCL_Q17_P | ~~ | 0.6413964 | 0.0000000 | NA | NA | 0.6413964 | 0.6413964 | 0.6413964 |
| 248 | CBCL_Q36_P ~~ CBCL_Q36_P | ~~ | 0.6835923 | 0.0000000 | NA | NA | 0.6835923 | 0.6835923 | 0.6835923 |
| 249 | CBCL_Q46_P ~~ CBCL_Q46_P | ~~ | 0.5956522 | 0.0000000 | NA | NA | 0.5956522 | 0.5956522 | 0.5956522 |
| 250 | CBCL_Q61_P ~~ CBCL_Q61_P | ~~ | 0.4870468 | 0.0000000 | NA | NA | 0.4870468 | 0.4870468 | 0.4870468 |
| 251 | CBCL_Q62_P ~~ CBCL_Q62_P | ~~ | 0.5556563 | 0.0000000 | NA | NA | 0.5556563 | 0.5556563 | 0.5556563 |
| 252 | CBCL_Q64_P ~~ CBCL_Q64_P | ~~ | 0.6255237 | 0.0000000 | NA | NA | 0.6255237 | 0.6255237 | 0.6255237 |
| 253 | CBCL_Q66_P ~~ CBCL_Q66_P | ~~ | 0.4985287 | 0.0000000 | NA | NA | 0.4985287 | 0.4985287 | 0.4985287 |
| 254 | CBCL_Q80_P ~~ CBCL_Q80_P | ~~ | 0.4884735 | 0.0000000 | NA | NA | 0.4884735 | 0.4884735 | 0.4884735 |
| 255 | CBCL_Q85_P ~~ CBCL_Q85_P | ~~ | 0.4909163 | 0.0000000 | NA | NA | 0.4909163 | 0.4909163 | 0.4909163 |
| 256 | CBCL_Q93_P ~~ CBCL_Q93_P | ~~ | 0.6474688 | 0.0000000 | NA | NA | 0.6474688 | 0.6474688 | 0.6474688 |
| 257 | Com6_Distracted ~~ Com6_Distracted | ~~ | 0.3554617 | 0.0000000 | NA | NA | 0.3554617 | 0.3554617 | 0.3554617 |
| 258 | CBCL_Q112_P ~~ CBCL_Q112_P | ~~ | 0.4178204 | 0.0000000 | NA | NA | 0.4178204 | 0.4178204 | 0.4178204 |
| 259 | CBCL_Q12_P ~~ CBCL_Q12_P | ~~ | 0.4078027 | 0.0000000 | NA | NA | 0.4078027 | 0.4078027 | 0.4078027 |
| 260 | CBCL_Q29_P ~~ CBCL_Q29_P | ~~ | 0.6406516 | 0.0000000 | NA | NA | 0.6406516 | 0.6406516 | 0.6406516 |
| 261 | CBCL_Q30_P ~~ CBCL_Q30_P | ~~ | 0.5409647 | 0.0000000 | NA | NA | 0.5409647 | 0.5409647 | 0.5409647 |
| 262 | CBCL_Q31_P ~~ CBCL_Q31_P | ~~ | 0.5639285 | 0.0000000 | NA | NA | 0.5639285 | 0.5639285 | 0.5639285 |
| 263 | CBCL_Q32_P ~~ CBCL_Q32_P | ~~ | 0.7582458 | 0.0000000 | NA | NA | 0.7582458 | 0.7582458 | 0.7582458 |
| 264 | CBCL_Q35_P ~~ CBCL_Q35_P | ~~ | 0.3501504 | 0.0000000 | NA | NA | 0.3501504 | 0.3501504 | 0.3501504 |
| 265 | CBCL_Q45_P ~~ CBCL_Q45_P | ~~ | 0.3417749 | 0.0000000 | NA | NA | 0.3417749 | 0.3417749 | 0.3417749 |
| 266 | CBCL_Q50_P ~~ CBCL_Q50_P | ~~ | 0.3543647 | 0.0000000 | NA | NA | 0.3543647 | 0.3543647 | 0.3543647 |
| 267 | CBCL_Q52_P ~~ CBCL_Q52_P | ~~ | 0.5200596 | 0.0000000 | NA | NA | 0.5200596 | 0.5200596 | 0.5200596 |
| 268 | CBCL_Q71_P ~~ CBCL_Q71_P | ~~ | 0.5181082 | 0.0000000 | NA | NA | 0.5181082 | 0.5181082 | 0.5181082 |
| 269 | CBCL_Q51_P ~~ CBCL_Q51_P | ~~ | 0.5038058 | 0.0000000 | NA | NA | 0.5038058 | 0.5038058 | 0.5038058 |
| 270 | CBCL_Q56A_P ~~ CBCL_Q56A_P | ~~ | 0.5813628 | 0.0000000 | NA | NA | 0.5813628 | 0.5813628 | 0.5813628 |
| 271 | CBCL_Q56B_P ~~ CBCL_Q56B_P | ~~ | 0.6353257 | 0.0000000 | NA | NA | 0.6353257 | 0.6353257 | 0.6353257 |
| 272 | CBCL_Q56C_P ~~ CBCL_Q56C_P | ~~ | 0.2908469 | 0.0000000 | NA | NA | 0.2908469 | 0.2908469 | 0.2908469 |
| 273 | CBCL_Q56D_P ~~ CBCL_Q56D_P | ~~ | 0.7500583 | 0.0000000 | NA | NA | 0.7500583 | 0.7500583 | 0.7500583 |
| 274 | CBCL_Q56E_P ~~ CBCL_Q56E_P | ~~ | 0.8349100 | 0.0000000 | NA | NA | 0.8349100 | 0.8349100 | 0.8349100 |
| 275 | CBCL_Q56F_P ~~ CBCL_Q56F_P | ~~ | 0.4289343 | 0.0000000 | NA | NA | 0.4289343 | 0.4289343 | 0.4289343 |
| 276 | CBCL_Q56G_P ~~ CBCL_Q56G_P | ~~ | 0.7341419 | 0.0000000 | NA | NA | 0.7341419 | 0.7341419 | 0.7341419 |
| 277 | CBCL_Q56H_P ~~ CBCL_Q56H_P | ~~ | 0.5517309 | 0.0000000 | NA | NA | 0.5517309 | 0.5517309 | 0.5517309 |
| 278 | CBCL_Q102_P ~~ CBCL_Q102_P | ~~ | 0.4119003 | 0.0000000 | NA | NA | 0.4119003 | 0.4119003 | 0.4119003 |
| 279 | CBCL_Q111_P ~~ CBCL_Q111_P | ~~ | 0.2515895 | 0.0000000 | NA | NA | 0.2515895 | 0.2515895 | 0.2515895 |
| 280 | CBCL_Q42_P ~~ CBCL_Q42_P | ~~ | 0.5939810 | 0.0000000 | NA | NA | 0.5939810 | 0.5939810 | 0.5939810 |
| 281 | CBCL_Q65_P ~~ CBCL_Q65_P | ~~ | 0.3931679 | 0.0000000 | NA | NA | 0.3931679 | 0.3931679 | 0.3931679 |
| 282 | CBCL_Q75_P ~~ CBCL_Q75_P | ~~ | 0.6510396 | 0.0000000 | NA | NA | 0.6510396 | 0.6510396 | 0.6510396 |
| 283 | Ext ~~ Ext | ~~ | 0.2007472 | 0.0105985 | 18.941165 | 0.0000000 | 0.3341446 | 0.3341446 | 0.3341446 |
| 284 | NDe ~~ NDe | ~~ | 0.1032762 | 0.0090235 | 11.445256 | 0.0000000 | 0.2262819 | 0.2262819 | 0.2262819 |
| 285 | Int ~~ Int | ~~ | 0.2246235 | 0.0118360 | 18.977935 | 0.0000000 | 0.3858319 | 0.3858319 | 0.3858319 |
| 286 | Som ~~ Som | ~~ | 0.3261768 | 0.0399628 | 8.162020 | 0.0000000 | 0.6573572 | 0.6573572 | 0.6573572 |
| 287 | Det ~~ Det | ~~ | 0.2400502 | 0.0207244 | 11.582968 | 0.0000000 | 0.4081795 | 0.4081795 | 0.4081795 |
| 288 | CBCL_Q03_P ~*~ CBCL_Q03_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 289 | CBCL_Q07_P ~*~ CBCL_Q07_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 290 | CBCL_Q109_P ~*~ CBCL_Q109_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 291 | CBCL_Q15_P ~*~ CBCL_Q15_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 292 | CBCL_Q16_P ~*~ CBCL_Q16_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 293 | CBCL_Q19_P ~*~ CBCL_Q19_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 294 | CBCL_Q26_P ~*~ CBCL_Q26_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 295 | CBCL_Q27_P ~*~ CBCL_Q27_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 296 | CBCL_Q34_P ~*~ CBCL_Q34_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 297 | CBCL_Q37_P ~*~ CBCL_Q37_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 298 | CBCL_Q39_P ~*~ CBCL_Q39_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 299 | CBCL_Q43_P ~*~ CBCL_Q43_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 300 | CBCL_Q67_P ~*~ CBCL_Q67_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 301 | CBCL_Q68_P ~*~ CBCL_Q68_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 302 | CBCL_Q72_P ~*~ CBCL_Q72_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 303 | CBCL_Q74_P ~*~ CBCL_Q74_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 304 | CBCL_Q86_P ~*~ CBCL_Q86_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 305 | CBCL_Q87_P ~*~ CBCL_Q87_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 306 | CBCL_Q88_P ~*~ CBCL_Q88_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 307 | CBCL_Q89_P ~*~ CBCL_Q89_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 308 | CBCL_Q90_P ~*~ CBCL_Q90_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 309 | CBCL_Q94_P ~*~ CBCL_Q94_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 310 | CBCL_Q95_P ~*~ CBCL_Q95_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 311 | CBCL_Q96_P ~*~ CBCL_Q96_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 312 | Com1_Attack ~*~ Com1_Attack | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 313 | Com2_Destroy ~*~ Com2_Destroy | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 314 | Com3_Disobeys ~*~ Com3_Disobeys | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 315 | Com4_Steals ~*~ Com4_Steals | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 316 | Com5_Peer ~*~ Com5_Peer | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 317 | CBCL_Q01_P ~*~ CBCL_Q01_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 318 | CBCL_Q04_P ~*~ CBCL_Q04_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 319 | CBCL_Q09_P ~*~ CBCL_Q09_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 320 | CBCL_Q13_P ~*~ CBCL_Q13_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 321 | CBCL_Q17_P ~*~ CBCL_Q17_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 322 | CBCL_Q36_P ~*~ CBCL_Q36_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 323 | CBCL_Q46_P ~*~ CBCL_Q46_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 324 | CBCL_Q61_P ~*~ CBCL_Q61_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 325 | CBCL_Q62_P ~*~ CBCL_Q62_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 326 | CBCL_Q64_P ~*~ CBCL_Q64_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 327 | CBCL_Q66_P ~*~ CBCL_Q66_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 328 | CBCL_Q80_P ~*~ CBCL_Q80_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 329 | CBCL_Q85_P ~*~ CBCL_Q85_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 330 | CBCL_Q93_P ~*~ CBCL_Q93_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 331 | Com6_Distracted ~*~ Com6_Distracted | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 332 | CBCL_Q112_P ~*~ CBCL_Q112_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 333 | CBCL_Q12_P ~*~ CBCL_Q12_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 334 | CBCL_Q29_P ~*~ CBCL_Q29_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 335 | CBCL_Q30_P ~*~ CBCL_Q30_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 336 | CBCL_Q31_P ~*~ CBCL_Q31_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 337 | CBCL_Q32_P ~*~ CBCL_Q32_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 338 | CBCL_Q35_P ~*~ CBCL_Q35_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 339 | CBCL_Q45_P ~*~ CBCL_Q45_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 340 | CBCL_Q50_P ~*~ CBCL_Q50_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 341 | CBCL_Q52_P ~*~ CBCL_Q52_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 342 | CBCL_Q71_P ~*~ CBCL_Q71_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 343 | CBCL_Q51_P ~*~ CBCL_Q51_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 344 | CBCL_Q56A_P ~*~ CBCL_Q56A_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 345 | CBCL_Q56B_P ~*~ CBCL_Q56B_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 346 | CBCL_Q56C_P ~*~ CBCL_Q56C_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 347 | CBCL_Q56D_P ~*~ CBCL_Q56D_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 348 | CBCL_Q56E_P ~*~ CBCL_Q56E_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 349 | CBCL_Q56F_P ~*~ CBCL_Q56F_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 350 | CBCL_Q56G_P ~*~ CBCL_Q56G_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 351 | CBCL_Q56H_P ~*~ CBCL_Q56H_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 352 | CBCL_Q102_P ~*~ CBCL_Q102_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 353 | CBCL_Q111_P ~*~ CBCL_Q111_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 354 | CBCL_Q42_P ~*~ CBCL_Q42_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 355 | CBCL_Q65_P ~*~ CBCL_Q65_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 356 | CBCL_Q75_P ~*~ CBCL_Q75_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 357 | CBCL_Q03_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 358 | CBCL_Q07_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 359 | CBCL_Q109_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 360 | CBCL_Q15_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 361 | CBCL_Q16_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 362 | CBCL_Q19_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 363 | CBCL_Q26_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 364 | CBCL_Q27_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 365 | CBCL_Q34_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 366 | CBCL_Q37_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 367 | CBCL_Q39_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 368 | CBCL_Q43_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 369 | CBCL_Q67_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 370 | CBCL_Q68_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 371 | CBCL_Q72_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 372 | CBCL_Q74_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 373 | CBCL_Q86_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 374 | CBCL_Q87_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 375 | CBCL_Q88_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 376 | CBCL_Q89_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 377 | CBCL_Q90_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 378 | CBCL_Q94_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 379 | CBCL_Q95_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 380 | CBCL_Q96_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 381 | Com1_Attack ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 382 | Com2_Destroy ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 383 | Com3_Disobeys ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 384 | Com4_Steals ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 385 | Com5_Peer ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 386 | CBCL_Q01_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 387 | CBCL_Q04_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 388 | CBCL_Q09_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 389 | CBCL_Q13_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 390 | CBCL_Q17_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 391 | CBCL_Q36_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 392 | CBCL_Q46_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 393 | CBCL_Q61_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 394 | CBCL_Q62_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 395 | CBCL_Q64_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 396 | CBCL_Q66_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 397 | CBCL_Q80_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 398 | CBCL_Q85_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 399 | CBCL_Q93_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 400 | Com6_Distracted ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 401 | CBCL_Q112_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 402 | CBCL_Q12_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 403 | CBCL_Q29_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 404 | CBCL_Q30_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 405 | CBCL_Q31_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 406 | CBCL_Q32_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 407 | CBCL_Q35_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 408 | CBCL_Q45_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 409 | CBCL_Q50_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 410 | CBCL_Q52_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 411 | CBCL_Q71_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 412 | CBCL_Q51_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 413 | CBCL_Q56A_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 414 | CBCL_Q56B_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 415 | CBCL_Q56C_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 416 | CBCL_Q56D_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 417 | CBCL_Q56E_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 418 | CBCL_Q56F_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 419 | CBCL_Q56G_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 420 | CBCL_Q56H_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 421 | CBCL_Q102_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 422 | CBCL_Q111_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 423 | CBCL_Q42_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 424 | CBCL_Q65_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 425 | CBCL_Q75_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 426 | Ext ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 427 | NDe ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 428 | Int ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 429 | Som ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 430 | Det ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 431 | P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
2.1.1 Plot high-order P-factor model
Ext <- c(3, 7, 109, 15, 16, 19, 26, 27, 34, 37, 39, 43, 67, 68, 72, 74, 86, 87, 88, 89, 90, 94, 95, 96, "C1", "C2", "C3", "C4", "C5")
Int <- c(2, 12, 29, 30, 31, 32, 35, 45, 50, 52, 71)
NDe <- c(1, 4, 9, 13, 17, 36, 46, 61, 62, 64, 66, 80, 85, 93, "C6")
Som <- c(51, 56, "56B", "56C", "56D", "56E", "56F", "56G", "56H")
Det <- c(102, 111, 42, 65, 75)
FirstSecondOrder <- c("Ext","Neuro\nDev", "Int", "Somatic", "Detach", "P")
Plabels<-c(Ext,NDe,Int,Som,Det,FirstSecondOrder)
semPlot::semPaths(object=CBCL.2ndOrderFitWLS, intercepts = F, residuals = F,
whatLabels="no", what = "std", layout="tree", node.width = 1.2,
edge.label.cex = 1, nodeLabels=Plabels, edge.color="black")
2.1.2 Reliability of p
omegaL1: the proportion of the second-order factor explaining the total score, or the coefficient omega at Level 1, can be calculated:
omegaL2: the proportion of the second-order factor explaining the varaince at first-order factor level, or the coefficient omega at Level 2, can be calculated:
partialOmegaL1: The partial coefficient omega at Level 1, or the proportion of observed variance explained by the second-order factor after partialling the uniqueness from the first-order factor,
semTools::reliabilityL2(CBCL.2ndOrderFitWLS,"P")## omegaL1 omegaL2 partialOmegaL1
## 0.8527278 0.8795077 0.97526902.2 First-order model of psychopathology
CBCL.1stOrderModel <-'
Ext =~ CBCL_Q03_P + CBCL_Q07_P + CBCL_Q109_P + CBCL_Q15_P + CBCL_Q16_P + CBCL_Q19_P + CBCL_Q26_P + CBCL_Q27_P + CBCL_Q34_P + CBCL_Q37_P + CBCL_Q39_P + CBCL_Q43_P + CBCL_Q67_P + CBCL_Q68_P + CBCL_Q72_P + CBCL_Q74_P + CBCL_Q86_P + CBCL_Q87_P + CBCL_Q88_P + CBCL_Q89_P + CBCL_Q90_P + CBCL_Q94_P + CBCL_Q95_P + CBCL_Q96_P + Com1_Attack + Com2_Destroy + Com3_Disobeys + Com4_Steals + Com5_Peer
NDe =~ CBCL_Q01_P + CBCL_Q04_P + CBCL_Q09_P + CBCL_Q13_P + CBCL_Q17_P + CBCL_Q36_P + CBCL_Q46_P + CBCL_Q61_P + CBCL_Q62_P + CBCL_Q64_P + CBCL_Q66_P + CBCL_Q80_P + CBCL_Q85_P + CBCL_Q93_P + Com6_Distracted
Int =~ CBCL_Q112_P + CBCL_Q12_P + CBCL_Q29_P + CBCL_Q30_P + CBCL_Q31_P + CBCL_Q32_P + CBCL_Q35_P + CBCL_Q45_P + CBCL_Q50_P + CBCL_Q52_P + CBCL_Q71_P
Som =~ CBCL_Q51_P + CBCL_Q56A_P + CBCL_Q56B_P + CBCL_Q56C_P + CBCL_Q56D_P + CBCL_Q56E_P + CBCL_Q56F_P + CBCL_Q56G_P + CBCL_Q56H_P
Det =~ CBCL_Q102_P + CBCL_Q111_P + CBCL_Q42_P + CBCL_Q65_P + CBCL_Q75_P
'
CBCL.1stOrderModelFit <- lavaan::cfa(model = CBCL.1stOrderModel, data = MostPrsCBCLBISBAS.ScoreScaled, ordered = CBCLNames)
lavaan::summary(CBCL.1stOrderModelFit, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 69 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of free parameters 217
##
## Used Total
## Number of observations 4804 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 13904.780 10304.488
## Degrees of freedom 2267 2267
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.525
## Shift parameter 1188.184
## simple second-order correction
##
## Model Test Baseline Model:
##
## Test statistic 408260.506 116807.351
## Degrees of freedom 2346 2346
## P-value 0.000 0.000
## Scaling correction factor 3.546
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.971 0.930
## Tucker-Lewis Index (TLI) 0.970 0.927
##
## Robust Comparative Fit Index (CFI) NA
## Robust Tucker-Lewis Index (TLI) NA
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.033 0.027
## 90 Percent confidence interval - lower 0.032 0.027
## 90 Percent confidence interval - upper 0.033 0.028
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA NA
## 90 Percent confidence interval - lower NA
## 90 Percent confidence interval - upper NA
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.078 0.078
##
## Parameter Estimates:
##
## Standard errors Robust.sem
## Information Expected
## Information saturated (h1) model Unstructured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## Ext =~
## CBCL_Q03_P 1.000
## CBCL_Q07_P 0.716 0.022 32.995 0.000
## CBCL_Q109_P 0.823 0.020 41.298 0.000
## CBCL_Q15_P 0.840 0.056 14.887 0.000
## CBCL_Q16_P 0.931 0.026 36.104 0.000
## CBCL_Q19_P 0.956 0.019 50.117 0.000
## CBCL_Q26_P 0.892 0.023 38.374 0.000
## CBCL_Q27_P 0.898 0.021 43.417 0.000
## CBCL_Q34_P 0.920 0.031 29.711 0.000
## CBCL_Q37_P 0.992 0.034 28.832 0.000
## CBCL_Q39_P 0.676 0.033 20.204 0.000
## CBCL_Q43_P 0.898 0.020 45.002 0.000
## CBCL_Q67_P 0.947 0.083 11.344 0.000
## CBCL_Q68_P 0.996 0.021 46.820 0.000
## CBCL_Q72_P 0.609 0.071 8.578 0.000
## CBCL_Q74_P 0.736 0.021 34.537 0.000
## CBCL_Q86_P 1.004 0.016 63.043 0.000
## CBCL_Q87_P 1.004 0.019 52.180 0.000
## CBCL_Q88_P 0.967 0.022 44.439 0.000
## CBCL_Q89_P 0.969 0.037 26.133 0.000
## CBCL_Q90_P 0.765 0.032 23.554 0.000
## CBCL_Q94_P 0.785 0.028 28.342 0.000
## CBCL_Q95_P 0.987 0.016 60.163 0.000
## CBCL_Q96_P 0.739 0.071 10.475 0.000
## Com1_Attack 0.970 0.025 38.177 0.000
## Com2_Destroy 0.990 0.029 33.986 0.000
## Com3_Disobeys 1.031 0.017 60.383 0.000
## Com4_Steals 0.899 0.033 26.971 0.000
## Com5_Peer 0.986 0.022 43.891 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.106 0.030 36.941 0.000
## CBCL_Q09_P 1.124 0.032 35.662 0.000
## CBCL_Q13_P 1.073 0.041 26.070 0.000
## CBCL_Q17_P 0.883 0.032 27.638 0.000
## CBCL_Q36_P 0.831 0.034 24.805 0.000
## CBCL_Q46_P 0.938 0.037 25.245 0.000
## CBCL_Q61_P 1.059 0.034 31.239 0.000
## CBCL_Q62_P 0.983 0.033 29.494 0.000
## CBCL_Q64_P 0.903 0.033 27.429 0.000
## CBCL_Q66_P 1.046 0.042 24.911 0.000
## CBCL_Q80_P 1.055 0.037 28.477 0.000
## CBCL_Q85_P 1.054 0.042 25.033 0.000
## CBCL_Q93_P 0.880 0.031 28.640 0.000
## Com6_Distractd 1.187 0.031 38.717 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 1.005 0.029 34.277 0.000
## CBCL_Q29_P 0.785 0.026 29.762 0.000
## CBCL_Q30_P 0.887 0.042 21.088 0.000
## CBCL_Q31_P 0.863 0.032 26.806 0.000
## CBCL_Q32_P 0.646 0.025 26.228 0.000
## CBCL_Q35_P 1.052 0.025 42.784 0.000
## CBCL_Q45_P 1.059 0.023 46.587 0.000
## CBCL_Q50_P 1.052 0.020 52.608 0.000
## CBCL_Q52_P 0.906 0.031 29.126 0.000
## CBCL_Q71_P 0.911 0.021 43.138 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 0.914 0.068 13.491 0.000
## CBCL_Q56B_P 0.856 0.060 14.205 0.000
## CBCL_Q56C_P 1.192 0.078 15.379 0.000
## CBCL_Q56D_P 0.706 0.080 8.812 0.000
## CBCL_Q56E_P 0.575 0.058 9.973 0.000
## CBCL_Q56F_P 1.071 0.068 15.791 0.000
## CBCL_Q56G_P 0.726 0.073 9.885 0.000
## CBCL_Q56H_P 0.942 0.096 9.784 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.130 0.045 25.091 0.000
## CBCL_Q42_P 0.833 0.037 22.223 0.000
## CBCL_Q65_P 1.016 0.048 21.280 0.000
## CBCL_Q75_P 0.783 0.038 20.370 0.000
## Std.lv Std.all
##
## 0.775 0.775
## 0.555 0.555
## 0.638 0.638
## 0.651 0.651
## 0.722 0.722
## 0.741 0.741
## 0.691 0.691
## 0.696 0.696
## 0.713 0.713
## 0.769 0.769
## 0.524 0.524
## 0.696 0.696
## 0.734 0.734
## 0.772 0.772
## 0.472 0.472
## 0.571 0.571
## 0.778 0.778
## 0.778 0.778
## 0.750 0.750
## 0.751 0.751
## 0.593 0.593
## 0.608 0.608
## 0.765 0.765
## 0.573 0.573
## 0.752 0.752
## 0.768 0.768
## 0.799 0.799
## 0.697 0.697
## 0.764 0.764
##
## 0.677 0.677
## 0.748 0.748
## 0.761 0.761
## 0.726 0.726
## 0.598 0.598
## 0.562 0.562
## 0.635 0.635
## 0.717 0.717
## 0.666 0.666
## 0.611 0.611
## 0.708 0.708
## 0.714 0.714
## 0.714 0.714
## 0.595 0.595
## 0.804 0.804
##
## 0.764 0.764
## 0.768 0.768
## 0.600 0.600
## 0.678 0.678
## 0.659 0.659
## 0.493 0.493
## 0.804 0.804
## 0.810 0.810
## 0.804 0.804
## 0.692 0.692
## 0.696 0.696
##
## 0.706 0.706
## 0.646 0.646
## 0.604 0.604
## 0.842 0.842
## 0.499 0.499
## 0.406 0.406
## 0.757 0.757
## 0.513 0.513
## 0.666 0.666
##
## 0.764 0.764
## 0.863 0.863
## 0.636 0.636
## 0.777 0.777
## 0.598 0.598
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Ext ~~
## NDe 0.391 0.013 30.945 0.000
## Int 0.369 0.011 32.280 0.000
## Som 0.244 0.018 13.256 0.000
## Det 0.350 0.017 20.323 0.000
## NDe ~~
## Int 0.339 0.012 27.182 0.000
## Som 0.225 0.017 12.931 0.000
## Det 0.331 0.017 19.077 0.000
## Int ~~
## Som 0.306 0.021 14.285 0.000
## Det 0.416 0.019 22.380 0.000
## Som ~~
## Det 0.260 0.023 11.309 0.000
## Std.lv Std.all
##
## 0.745 0.745
## 0.623 0.623
## 0.446 0.446
## 0.591 0.591
##
## 0.656 0.656
## 0.471 0.471
## 0.640 0.640
##
## 0.566 0.566
## 0.712 0.712
##
## 0.482 0.482
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|)
## .CBCL_Q03_P 0.000
## .CBCL_Q07_P 0.000
## .CBCL_Q109_P 0.000
## .CBCL_Q15_P 0.000
## .CBCL_Q16_P 0.000
## .CBCL_Q19_P 0.000
## .CBCL_Q26_P 0.000
## .CBCL_Q27_P 0.000
## .CBCL_Q34_P 0.000
## .CBCL_Q37_P 0.000
## .CBCL_Q39_P 0.000
## .CBCL_Q43_P 0.000
## .CBCL_Q67_P 0.000
## .CBCL_Q68_P 0.000
## .CBCL_Q72_P 0.000
## .CBCL_Q74_P 0.000
## .CBCL_Q86_P 0.000
## .CBCL_Q87_P 0.000
## .CBCL_Q88_P 0.000
## .CBCL_Q89_P 0.000
## .CBCL_Q90_P 0.000
## .CBCL_Q94_P 0.000
## .CBCL_Q95_P 0.000
## .CBCL_Q96_P 0.000
## .Com1_Attack 0.000
## .Com2_Destroy 0.000
## .Com3_Disobeys 0.000
## .Com4_Steals 0.000
## .Com5_Peer 0.000
## .CBCL_Q01_P 0.000
## .CBCL_Q04_P 0.000
## .CBCL_Q09_P 0.000
## .CBCL_Q13_P 0.000
## .CBCL_Q17_P 0.000
## .CBCL_Q36_P 0.000
## .CBCL_Q46_P 0.000
## .CBCL_Q61_P 0.000
## .CBCL_Q62_P 0.000
## .CBCL_Q64_P 0.000
## .CBCL_Q66_P 0.000
## .CBCL_Q80_P 0.000
## .CBCL_Q85_P 0.000
## .CBCL_Q93_P 0.000
## .Com6_Distractd 0.000
## .CBCL_Q112_P 0.000
## .CBCL_Q12_P 0.000
## .CBCL_Q29_P 0.000
## .CBCL_Q30_P 0.000
## .CBCL_Q31_P 0.000
## .CBCL_Q32_P 0.000
## .CBCL_Q35_P 0.000
## .CBCL_Q45_P 0.000
## .CBCL_Q50_P 0.000
## .CBCL_Q52_P 0.000
## .CBCL_Q71_P 0.000
## .CBCL_Q51_P 0.000
## .CBCL_Q56A_P 0.000
## .CBCL_Q56B_P 0.000
## .CBCL_Q56C_P 0.000
## .CBCL_Q56D_P 0.000
## .CBCL_Q56E_P 0.000
## .CBCL_Q56F_P 0.000
## .CBCL_Q56G_P 0.000
## .CBCL_Q56H_P 0.000
## .CBCL_Q102_P 0.000
## .CBCL_Q111_P 0.000
## .CBCL_Q42_P 0.000
## .CBCL_Q65_P 0.000
## .CBCL_Q75_P 0.000
## Ext 0.000
## NDe 0.000
## Int 0.000
## Som 0.000
## Det 0.000
## Std.lv Std.all
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
##
## Thresholds:
## Estimate Std.Err z-value P(>|z|)
## CBCL_Q03_P|t1 0.094 0.018 5.193 0.000
## CBCL_Q03_P|t2 1.354 0.026 52.876 0.000
## CBCL_Q07_P|t1 0.629 0.019 32.359 0.000
## CBCL_Q07_P|t2 2.013 0.040 49.967 0.000
## CBCL_Q109_P|t1 0.519 0.019 27.325 0.000
## CBCL_Q109_P|t2 1.950 0.038 51.009 0.000
## CBCL_Q15_P|t1 2.404 0.058 41.218 0.000
## CBCL_Q15_P|t2 3.342 0.196 17.026 0.000
## CBCL_Q16_P|t1 1.453 0.027 53.703 0.000
## CBCL_Q16_P|t2 2.693 0.081 33.363 0.000
## CBCL_Q19_P|t1 0.767 0.020 38.059 0.000
## CBCL_Q19_P|t2 1.766 0.033 53.232 0.000
## CBCL_Q26_P|t1 1.206 0.024 50.723 0.000
## CBCL_Q26_P|t2 2.255 0.050 44.927 0.000
## CBCL_Q27_P|t1 0.800 0.020 39.299 0.000
## CBCL_Q27_P|t2 1.957 0.038 50.899 0.000
## CBCL_Q34_P|t1 1.618 0.030 54.015 0.000
## CBCL_Q34_P|t2 2.622 0.074 35.328 0.000
## CBCL_Q37_P|t1 1.919 0.037 51.464 0.000
## CBCL_Q37_P|t2 3.024 0.123 24.491 0.000
## CBCL_Q39_P|t1 1.541 0.029 54.031 0.000
## CBCL_Q39_P|t2 2.781 0.090 30.934 0.000
## CBCL_Q43_P|t1 0.749 0.020 37.353 0.000
## CBCL_Q43_P|t2 2.149 0.045 47.313 0.000
## CBCL_Q67_P|t1 2.693 0.081 33.363 0.000
## CBCL_Q67_P|t2 3.530 0.265 13.339 0.000
## CBCL_Q68_P|t1 1.242 0.024 51.337 0.000
## CBCL_Q68_P|t2 2.199 0.048 46.220 0.000
## CBCL_Q72_P|t1 2.591 0.072 36.186 0.000
## CBCL_Q72_P|t2 3.530 0.265 13.339 0.000
## CBCL_Q74_P|t1 0.587 0.019 30.483 0.000
## CBCL_Q74_P|t2 1.812 0.034 52.793 0.000
## CBCL_Q86_P|t1 0.388 0.019 20.863 0.000
## CBCL_Q86_P|t2 1.751 0.033 53.352 0.000
## CBCL_Q87_P|t1 0.859 0.021 41.425 0.000
## CBCL_Q87_P|t2 2.025 0.041 49.754 0.000
## CBCL_Q88_P|t1 1.101 0.023 48.516 0.000
## CBCL_Q88_P|t2 2.235 0.049 45.383 0.000
## CBCL_Q89_P|t1 1.929 0.038 51.319 0.000
## CBCL_Q89_P|t2 2.735 0.085 32.219 0.000
## CBCL_Q90_P|t1 1.545 0.029 54.036 0.000
## CBCL_Q90_P|t2 2.376 0.057 41.921 0.000
## CBCL_Q94_P|t1 1.305 0.025 52.282 0.000
## CBCL_Q94_P|t2 2.486 0.064 39.027 0.000
## CBCL_Q95_P|t1 0.614 0.019 31.689 0.000
## CBCL_Q95_P|t2 1.776 0.033 53.145 0.000
## CBCL_Q96_P|t1 2.475 0.063 39.330 0.000
## CBCL_Q96_P|t2 3.227 0.165 19.543 0.000
## Com1_Attack|t1 1.473 0.027 53.810 0.000
## Com1_Attack|t2 2.899 0.104 27.756 0.000
## Com2_Destry|t1 1.687 0.031 53.768 0.000
## Com2_Destry|t2 3.024 0.123 24.491 0.000
## Com3_Disbys|t1 0.739 0.020 36.944 0.000
## Com3_Disbys|t2 2.368 0.056 42.144 0.000
## Com4_Steals|t1 1.707 0.032 53.658 0.000
## Com4_Steals|t2 3.078 0.133 23.110 0.000
## Com5_Peer|t1 1.110 0.023 48.740 0.000
## Com5_Peer|t2 2.475 0.063 39.330 0.000
## CBCL_Q01_P|t1 0.798 0.020 39.246 0.000
## CBCL_Q01_P|t2 1.967 0.039 50.729 0.000
## CBCL_Q04_P|t1 0.222 0.018 12.166 0.000
## CBCL_Q04_P|t2 1.577 0.029 54.058 0.000
## CBCL_Q09_P|t1 0.615 0.019 31.744 0.000
## CBCL_Q09_P|t2 1.672 0.031 53.840 0.000
## CBCL_Q13_P|t1 1.645 0.030 53.943 0.000
## CBCL_Q13_P|t2 2.522 0.066 38.055 0.000
## CBCL_Q17_P|t1 0.561 0.019 29.302 0.000
## CBCL_Q17_P|t2 1.771 0.033 53.189 0.000
## CBCL_Q36_P|t1 1.008 0.022 46.123 0.000
## CBCL_Q36_P|t2 2.072 0.042 48.885 0.000
## CBCL_Q46_P|t1 1.251 0.024 51.485 0.000
## CBCL_Q46_P|t2 2.109 0.044 48.151 0.000
## CBCL_Q61_P|t1 1.191 0.024 50.444 0.000
## CBCL_Q61_P|t2 2.199 0.048 46.220 0.000
## CBCL_Q62_P|t1 1.191 0.024 50.444 0.000
## CBCL_Q62_P|t2 2.139 0.045 47.534 0.000
## CBCL_Q64_P|t1 0.998 0.022 45.855 0.000
## CBCL_Q64_P|t2 2.118 0.044 47.952 0.000
## CBCL_Q66_P|t1 1.560 0.029 54.053 0.000
## CBCL_Q66_P|t2 2.351 0.055 42.573 0.000
## CBCL_Q80_P|t1 1.408 0.026 53.388 0.000
## CBCL_Q80_P|t2 2.510 0.065 38.389 0.000
## CBCL_Q85_P|t1 1.550 0.029 54.043 0.000
## CBCL_Q85_P|t2 2.757 0.087 31.596 0.000
## CBCL_Q93_P|t1 0.633 0.019 32.526 0.000
## CBCL_Q93_P|t2 1.698 0.032 53.710 0.000
## Cm6_Dstrctd|t1 0.329 0.018 17.856 0.000
## Cm6_Dstrctd|t2 1.497 0.028 53.911 0.000
## CBCL_Q112_P|t1 0.262 0.018 14.324 0.000
## CBCL_Q112_P|t2 1.641 0.030 53.956 0.000
## CBCL_Q12_P|t1 1.180 0.023 50.220 0.000
## CBCL_Q12_P|t2 2.248 0.050 45.082 0.000
## CBCL_Q29_P|t1 0.903 0.021 42.910 0.000
## CBCL_Q29_P|t2 2.109 0.044 48.151 0.000
## CBCL_Q30_P|t1 1.700 0.032 53.697 0.000
## CBCL_Q30_P|t2 2.656 0.077 34.393 0.000
## CBCL_Q31_P|t1 1.365 0.026 52.987 0.000
## CBCL_Q31_P|t2 2.510 0.065 38.389 0.000
## CBCL_Q32_P|t1 0.487 0.019 25.794 0.000
## CBCL_Q32_P|t2 1.696 0.032 53.722 0.000
## CBCL_Q35_P|t1 1.050 0.022 47.248 0.000
## CBCL_Q35_P|t2 2.275 0.051 44.441 0.000
## CBCL_Q45_P|t1 0.806 0.020 39.514 0.000
## CBCL_Q45_P|t2 1.960 0.039 50.843 0.000
## CBCL_Q50_P|t1 0.706 0.020 35.629 0.000
## CBCL_Q50_P|t2 1.878 0.036 52.026 0.000
## CBCL_Q52_P|t1 1.444 0.027 53.648 0.000
## CBCL_Q52_P|t2 2.443 0.061 40.186 0.000
## CBCL_Q71_P|t1 0.107 0.018 5.885 0.000
## CBCL_Q71_P|t2 1.511 0.028 53.961 0.000
## CBCL_Q51_P|t1 1.739 0.033 53.443 0.000
## CBCL_Q51_P|t2 2.935 0.110 26.781 0.000
## CBCL_Q56A_P|t1 0.932 0.021 43.857 0.000
## CBCL_Q56A_P|t2 2.211 0.048 45.952 0.000
## CBCL_Q56B_P|t1 0.568 0.019 29.584 0.000
## CBCL_Q56B_P|t2 2.072 0.042 48.885 0.000
## CBCL_Q56C_P|t1 1.074 0.022 47.878 0.000
## CBCL_Q56C_P|t2 2.404 0.058 41.218 0.000
## CBCL_Q56D_P|t1 1.909 0.037 51.603 0.000
## CBCL_Q56D_P|t2 2.591 0.072 36.186 0.000
## CBCL_Q56E_P|t1 1.060 0.022 47.506 0.000
## CBCL_Q56E_P|t2 2.149 0.045 47.313 0.000
## CBCL_Q56F_P|t1 0.692 0.020 35.051 0.000
## CBCL_Q56F_P|t2 2.104 0.044 48.248 0.000
## CBCL_Q56G_P|t1 1.744 0.033 53.407 0.000
## CBCL_Q56G_P|t2 3.144 0.146 21.497 0.000
## CBCL_Q56H_P|t1 1.982 0.039 50.490 0.000
## CBCL_Q56H_P|t2 2.781 0.090 30.934 0.000
## CBCL_Q102_P|t1 1.490 0.028 53.887 0.000
## CBCL_Q102_P|t2 2.510 0.065 38.389 0.000
## CBCL_Q111_P|t1 1.518 0.028 53.980 0.000
## CBCL_Q111_P|t2 2.674 0.079 33.891 0.000
## CBCL_Q42_P|t1 0.941 0.021 44.136 0.000
## CBCL_Q42_P|t2 2.182 0.047 46.605 0.000
## CBCL_Q65_P|t1 1.437 0.027 53.600 0.000
## CBCL_Q65_P|t2 2.591 0.072 36.186 0.000
## CBCL_Q75_P|t1 0.847 0.021 41.030 0.000
## CBCL_Q75_P|t2 2.054 0.042 49.218 0.000
## Std.lv Std.all
## 0.094 0.094
## 1.354 1.354
## 0.629 0.629
## 2.013 2.013
## 0.519 0.519
## 1.950 1.950
## 2.404 2.404
## 3.342 3.342
## 1.453 1.453
## 2.693 2.693
## 0.767 0.767
## 1.766 1.766
## 1.206 1.206
## 2.255 2.255
## 0.800 0.800
## 1.957 1.957
## 1.618 1.618
## 2.622 2.622
## 1.919 1.919
## 3.024 3.024
## 1.541 1.541
## 2.781 2.781
## 0.749 0.749
## 2.149 2.149
## 2.693 2.693
## 3.530 3.530
## 1.242 1.242
## 2.199 2.199
## 2.591 2.591
## 3.530 3.530
## 0.587 0.587
## 1.812 1.812
## 0.388 0.388
## 1.751 1.751
## 0.859 0.859
## 2.025 2.025
## 1.101 1.101
## 2.235 2.235
## 1.929 1.929
## 2.735 2.735
## 1.545 1.545
## 2.376 2.376
## 1.305 1.305
## 2.486 2.486
## 0.614 0.614
## 1.776 1.776
## 2.475 2.475
## 3.227 3.227
## 1.473 1.473
## 2.899 2.899
## 1.687 1.687
## 3.024 3.024
## 0.739 0.739
## 2.368 2.368
## 1.707 1.707
## 3.078 3.078
## 1.110 1.110
## 2.475 2.475
## 0.798 0.798
## 1.967 1.967
## 0.222 0.222
## 1.577 1.577
## 0.615 0.615
## 1.672 1.672
## 1.645 1.645
## 2.522 2.522
## 0.561 0.561
## 1.771 1.771
## 1.008 1.008
## 2.072 2.072
## 1.251 1.251
## 2.109 2.109
## 1.191 1.191
## 2.199 2.199
## 1.191 1.191
## 2.139 2.139
## 0.998 0.998
## 2.118 2.118
## 1.560 1.560
## 2.351 2.351
## 1.408 1.408
## 2.510 2.510
## 1.550 1.550
## 2.757 2.757
## 0.633 0.633
## 1.698 1.698
## 0.329 0.329
## 1.497 1.497
## 0.262 0.262
## 1.641 1.641
## 1.180 1.180
## 2.248 2.248
## 0.903 0.903
## 2.109 2.109
## 1.700 1.700
## 2.656 2.656
## 1.365 1.365
## 2.510 2.510
## 0.487 0.487
## 1.696 1.696
## 1.050 1.050
## 2.275 2.275
## 0.806 0.806
## 1.960 1.960
## 0.706 0.706
## 1.878 1.878
## 1.444 1.444
## 2.443 2.443
## 0.107 0.107
## 1.511 1.511
## 1.739 1.739
## 2.935 2.935
## 0.932 0.932
## 2.211 2.211
## 0.568 0.568
## 2.072 2.072
## 1.074 1.074
## 2.404 2.404
## 1.909 1.909
## 2.591 2.591
## 1.060 1.060
## 2.149 2.149
## 0.692 0.692
## 2.104 2.104
## 1.744 1.744
## 3.144 3.144
## 1.982 1.982
## 2.781 2.781
## 1.490 1.490
## 2.510 2.510
## 1.518 1.518
## 2.674 2.674
## 0.941 0.941
## 2.182 2.182
## 1.437 1.437
## 2.591 2.591
## 0.847 0.847
## 2.054 2.054
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .CBCL_Q03_P 0.399
## .CBCL_Q07_P 0.692
## .CBCL_Q109_P 0.593
## .CBCL_Q15_P 0.576
## .CBCL_Q16_P 0.479
## .CBCL_Q19_P 0.451
## .CBCL_Q26_P 0.522
## .CBCL_Q27_P 0.516
## .CBCL_Q34_P 0.492
## .CBCL_Q37_P 0.409
## .CBCL_Q39_P 0.726
## .CBCL_Q43_P 0.516
## .CBCL_Q67_P 0.461
## .CBCL_Q68_P 0.404
## .CBCL_Q72_P 0.777
## .CBCL_Q74_P 0.674
## .CBCL_Q86_P 0.394
## .CBCL_Q87_P 0.394
## .CBCL_Q88_P 0.438
## .CBCL_Q89_P 0.436
## .CBCL_Q90_P 0.649
## .CBCL_Q94_P 0.630
## .CBCL_Q95_P 0.415
## .CBCL_Q96_P 0.672
## .Com1_Attack 0.435
## .Com2_Destroy 0.411
## .Com3_Disobeys 0.361
## .Com4_Steals 0.515
## .Com5_Peer 0.416
## .CBCL_Q01_P 0.542
## .CBCL_Q04_P 0.440
## .CBCL_Q09_P 0.421
## .CBCL_Q13_P 0.473
## .CBCL_Q17_P 0.643
## .CBCL_Q36_P 0.684
## .CBCL_Q46_P 0.597
## .CBCL_Q61_P 0.486
## .CBCL_Q62_P 0.557
## .CBCL_Q64_P 0.626
## .CBCL_Q66_P 0.499
## .CBCL_Q80_P 0.490
## .CBCL_Q85_P 0.491
## .CBCL_Q93_P 0.646
## .Com6_Distractd 0.354
## .CBCL_Q112_P 0.416
## .CBCL_Q12_P 0.410
## .CBCL_Q29_P 0.640
## .CBCL_Q30_P 0.541
## .CBCL_Q31_P 0.565
## .CBCL_Q32_P 0.757
## .CBCL_Q35_P 0.353
## .CBCL_Q45_P 0.344
## .CBCL_Q50_P 0.354
## .CBCL_Q52_P 0.521
## .CBCL_Q71_P 0.515
## .CBCL_Q51_P 0.501
## .CBCL_Q56A_P 0.583
## .CBCL_Q56B_P 0.635
## .CBCL_Q56C_P 0.290
## .CBCL_Q56D_P 0.751
## .CBCL_Q56E_P 0.835
## .CBCL_Q56F_P 0.427
## .CBCL_Q56G_P 0.737
## .CBCL_Q56H_P 0.557
## .CBCL_Q102_P 0.416
## .CBCL_Q111_P 0.255
## .CBCL_Q42_P 0.595
## .CBCL_Q65_P 0.396
## .CBCL_Q75_P 0.642
## Ext 0.601 0.015 40.103 0.000
## NDe 0.458 0.021 21.361 0.000
## Int 0.584 0.017 34.396 0.000
## Som 0.499 0.059 8.502 0.000
## Det 0.584 0.039 15.025 0.000
## Std.lv Std.all
## 0.399 0.399
## 0.692 0.692
## 0.593 0.593
## 0.576 0.576
## 0.479 0.479
## 0.451 0.451
## 0.522 0.522
## 0.516 0.516
## 0.492 0.492
## 0.409 0.409
## 0.726 0.726
## 0.516 0.516
## 0.461 0.461
## 0.404 0.404
## 0.777 0.777
## 0.674 0.674
## 0.394 0.394
## 0.394 0.394
## 0.438 0.438
## 0.436 0.436
## 0.649 0.649
## 0.630 0.630
## 0.415 0.415
## 0.672 0.672
## 0.435 0.435
## 0.411 0.411
## 0.361 0.361
## 0.515 0.515
## 0.416 0.416
## 0.542 0.542
## 0.440 0.440
## 0.421 0.421
## 0.473 0.473
## 0.643 0.643
## 0.684 0.684
## 0.597 0.597
## 0.486 0.486
## 0.557 0.557
## 0.626 0.626
## 0.499 0.499
## 0.490 0.490
## 0.491 0.491
## 0.646 0.646
## 0.354 0.354
## 0.416 0.416
## 0.410 0.410
## 0.640 0.640
## 0.541 0.541
## 0.565 0.565
## 0.757 0.757
## 0.353 0.353
## 0.344 0.344
## 0.354 0.354
## 0.521 0.521
## 0.515 0.515
## 0.501 0.501
## 0.583 0.583
## 0.635 0.635
## 0.290 0.290
## 0.751 0.751
## 0.835 0.835
## 0.427 0.427
## 0.737 0.737
## 0.557 0.557
## 0.416 0.416
## 0.255 0.255
## 0.595 0.595
## 0.396 0.396
## 0.642 0.642
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
##
## Scales y*:
## Estimate Std.Err z-value P(>|z|)
## CBCL_Q03_P 1.000
## CBCL_Q07_P 1.000
## CBCL_Q109_P 1.000
## CBCL_Q15_P 1.000
## CBCL_Q16_P 1.000
## CBCL_Q19_P 1.000
## CBCL_Q26_P 1.000
## CBCL_Q27_P 1.000
## CBCL_Q34_P 1.000
## CBCL_Q37_P 1.000
## CBCL_Q39_P 1.000
## CBCL_Q43_P 1.000
## CBCL_Q67_P 1.000
## CBCL_Q68_P 1.000
## CBCL_Q72_P 1.000
## CBCL_Q74_P 1.000
## CBCL_Q86_P 1.000
## CBCL_Q87_P 1.000
## CBCL_Q88_P 1.000
## CBCL_Q89_P 1.000
## CBCL_Q90_P 1.000
## CBCL_Q94_P 1.000
## CBCL_Q95_P 1.000
## CBCL_Q96_P 1.000
## Com1_Attack 1.000
## Com2_Destroy 1.000
## Com3_Disobeys 1.000
## Com4_Steals 1.000
## Com5_Peer 1.000
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.000
## CBCL_Q09_P 1.000
## CBCL_Q13_P 1.000
## CBCL_Q17_P 1.000
## CBCL_Q36_P 1.000
## CBCL_Q46_P 1.000
## CBCL_Q61_P 1.000
## CBCL_Q62_P 1.000
## CBCL_Q64_P 1.000
## CBCL_Q66_P 1.000
## CBCL_Q80_P 1.000
## CBCL_Q85_P 1.000
## CBCL_Q93_P 1.000
## Com6_Distractd 1.000
## CBCL_Q112_P 1.000
## CBCL_Q12_P 1.000
## CBCL_Q29_P 1.000
## CBCL_Q30_P 1.000
## CBCL_Q31_P 1.000
## CBCL_Q32_P 1.000
## CBCL_Q35_P 1.000
## CBCL_Q45_P 1.000
## CBCL_Q50_P 1.000
## CBCL_Q52_P 1.000
## CBCL_Q71_P 1.000
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 1.000
## CBCL_Q56B_P 1.000
## CBCL_Q56C_P 1.000
## CBCL_Q56D_P 1.000
## CBCL_Q56E_P 1.000
## CBCL_Q56F_P 1.000
## CBCL_Q56G_P 1.000
## CBCL_Q56H_P 1.000
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.000
## CBCL_Q42_P 1.000
## CBCL_Q65_P 1.000
## CBCL_Q75_P 1.000
## Std.lv Std.all
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
##
## R-Square:
## Estimate
## CBCL_Q03_P 0.601
## CBCL_Q07_P 0.308
## CBCL_Q109_P 0.407
## CBCL_Q15_P 0.424
## CBCL_Q16_P 0.521
## CBCL_Q19_P 0.549
## CBCL_Q26_P 0.478
## CBCL_Q27_P 0.484
## CBCL_Q34_P 0.508
## CBCL_Q37_P 0.591
## CBCL_Q39_P 0.274
## CBCL_Q43_P 0.484
## CBCL_Q67_P 0.539
## CBCL_Q68_P 0.596
## CBCL_Q72_P 0.223
## CBCL_Q74_P 0.326
## CBCL_Q86_P 0.606
## CBCL_Q87_P 0.606
## CBCL_Q88_P 0.562
## CBCL_Q89_P 0.564
## CBCL_Q90_P 0.351
## CBCL_Q94_P 0.370
## CBCL_Q95_P 0.585
## CBCL_Q96_P 0.328
## Com1_Attack 0.565
## Com2_Destroy 0.589
## Com3_Disobeys 0.639
## Com4_Steals 0.485
## Com5_Peer 0.584
## CBCL_Q01_P 0.458
## CBCL_Q04_P 0.560
## CBCL_Q09_P 0.579
## CBCL_Q13_P 0.527
## CBCL_Q17_P 0.357
## CBCL_Q36_P 0.316
## CBCL_Q46_P 0.403
## CBCL_Q61_P 0.514
## CBCL_Q62_P 0.443
## CBCL_Q64_P 0.374
## CBCL_Q66_P 0.501
## CBCL_Q80_P 0.510
## CBCL_Q85_P 0.509
## CBCL_Q93_P 0.354
## Com6_Distractd 0.646
## CBCL_Q112_P 0.584
## CBCL_Q12_P 0.590
## CBCL_Q29_P 0.360
## CBCL_Q30_P 0.459
## CBCL_Q31_P 0.435
## CBCL_Q32_P 0.243
## CBCL_Q35_P 0.647
## CBCL_Q45_P 0.656
## CBCL_Q50_P 0.646
## CBCL_Q52_P 0.479
## CBCL_Q71_P 0.485
## CBCL_Q51_P 0.499
## CBCL_Q56A_P 0.417
## CBCL_Q56B_P 0.365
## CBCL_Q56C_P 0.710
## CBCL_Q56D_P 0.249
## CBCL_Q56E_P 0.165
## CBCL_Q56F_P 0.573
## CBCL_Q56G_P 0.263
## CBCL_Q56H_P 0.443
## CBCL_Q102_P 0.584
## CBCL_Q111_P 0.745
## CBCL_Q42_P 0.405
## CBCL_Q65_P 0.604
## CBCL_Q75_P 0.358knitr::kable(broom::tidy(CBCL.1stOrderModelFit), format = "html", row.names = TRUE) %>%
kableExtra::kable_styling(bootstrap_options = c("striped"),
full_width = T,
font_size = 15) %>%
kableExtra::scroll_box(height = "300px")| term | op | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Ext =~ CBCL_Q03_P | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.7750495 | 0.7750495 | 0.7750495 |
| 2 | Ext =~ CBCL_Q07_P | =~ | 0.7163082 | 0.0217095 | 32.995209 | 0.0000000 | 0.5551743 | 0.5551743 | 0.5551743 |
| 3 | Ext =~ CBCL_Q109_P | =~ | 0.8227711 | 0.0199227 | 41.298239 | 0.0000000 | 0.6376883 | 0.6376883 | 0.6376883 |
| 4 | Ext =~ CBCL_Q15_P | =~ | 0.8397545 | 0.0564095 | 14.886767 | 0.0000000 | 0.6508512 | 0.6508512 | 0.6508512 |
| 5 | Ext =~ CBCL_Q16_P | =~ | 0.9313709 | 0.0257966 | 36.104458 | 0.0000000 | 0.7218585 | 0.7218585 | 0.7218585 |
| 6 | Ext =~ CBCL_Q19_P | =~ | 0.9557804 | 0.0190710 | 50.116829 | 0.0000000 | 0.7407770 | 0.7407770 | 0.7407770 |
| 7 | Ext =~ CBCL_Q26_P | =~ | 0.8921032 | 0.0232475 | 38.374165 | 0.0000000 | 0.6914241 | 0.6914241 | 0.6914241 |
| 8 | Ext =~ CBCL_Q27_P | =~ | 0.8975946 | 0.0206739 | 43.416702 | 0.0000000 | 0.6956802 | 0.6956802 | 0.6956802 |
| 9 | Ext =~ CBCL_Q34_P | =~ | 0.9198781 | 0.0309610 | 29.710859 | 0.0000000 | 0.7129510 | 0.7129510 | 0.7129510 |
| 10 | Ext =~ CBCL_Q37_P | =~ | 0.9917650 | 0.0343979 | 28.832136 | 0.0000000 | 0.7686669 | 0.7686669 | 0.7686669 |
| 11 | Ext =~ CBCL_Q39_P | =~ | 0.6757457 | 0.0334458 | 20.204204 | 0.0000000 | 0.5237363 | 0.5237363 | 0.5237363 |
| 12 | Ext =~ CBCL_Q43_P | =~ | 0.8977047 | 0.0199480 | 45.002353 | 0.0000000 | 0.6957655 | 0.6957655 | 0.6957655 |
| 13 | Ext =~ CBCL_Q67_P | =~ | 0.9469420 | 0.0834776 | 11.343667 | 0.0000000 | 0.7339269 | 0.7339269 | 0.7339269 |
| 14 | Ext =~ CBCL_Q68_P | =~ | 0.9957570 | 0.0212677 | 46.820178 | 0.0000000 | 0.7717609 | 0.7717609 | 0.7717609 |
| 15 | Ext =~ CBCL_Q72_P | =~ | 0.6088748 | 0.0709830 | 8.577761 | 0.0000000 | 0.4719081 | 0.4719081 | 0.4719081 |
| 16 | Ext =~ CBCL_Q74_P | =~ | 0.7363273 | 0.0213197 | 34.537401 | 0.0000000 | 0.5706901 | 0.5706901 | 0.5706901 |
| 17 | Ext =~ CBCL_Q86_P | =~ | 1.0040301 | 0.0159261 | 63.042880 | 0.0000000 | 0.7781730 | 0.7781730 | 0.7781730 |
| 18 | Ext =~ CBCL_Q87_P | =~ | 1.0041774 | 0.0192443 | 52.180399 | 0.0000000 | 0.7782871 | 0.7782871 | 0.7782871 |
| 19 | Ext =~ CBCL_Q88_P | =~ | 0.9674438 | 0.0217703 | 44.438612 | 0.0000000 | 0.7498168 | 0.7498168 | 0.7498168 |
| 20 | Ext =~ CBCL_Q89_P | =~ | 0.9685761 | 0.0370638 | 26.132653 | 0.0000000 | 0.7506943 | 0.7506943 | 0.7506943 |
| 21 | Ext =~ CBCL_Q90_P | =~ | 0.7648368 | 0.0324718 | 23.553883 | 0.0000000 | 0.5927864 | 0.5927864 | 0.5927864 |
| 22 | Ext =~ CBCL_Q94_P | =~ | 0.7850520 | 0.0276991 | 28.342165 | 0.0000000 | 0.6084541 | 0.6084541 | 0.6084541 |
| 23 | Ext =~ CBCL_Q95_P | =~ | 0.9869024 | 0.0164038 | 60.162870 | 0.0000000 | 0.7648982 | 0.7648982 | 0.7648982 |
| 24 | Ext =~ CBCL_Q96_P | =~ | 0.7391605 | 0.0705625 | 10.475252 | 0.0000000 | 0.5728859 | 0.5728859 | 0.5728859 |
| 25 | Ext =~ Com1_Attack | =~ | 0.9698218 | 0.0254032 | 38.177152 | 0.0000000 | 0.7516599 | 0.7516599 | 0.7516599 |
| 26 | Ext =~ Com2_Destroy | =~ | 0.9902722 | 0.0291376 | 33.986045 | 0.0000000 | 0.7675100 | 0.7675100 | 0.7675100 |
| 27 | Ext =~ Com3_Disobeys | =~ | 1.0312531 | 0.0170786 | 60.382644 | 0.0000000 | 0.7992721 | 0.7992721 | 0.7992721 |
| 28 | Ext =~ Com4_Steals | =~ | 0.8988732 | 0.0333275 | 26.970925 | 0.0000000 | 0.6966712 | 0.6966712 | 0.6966712 |
| 29 | Ext =~ Com5_Peer | =~ | 0.9856354 | 0.0224566 | 43.890637 | 0.0000000 | 0.7639162 | 0.7639162 | 0.7639162 |
| 30 | NDe =~ CBCL_Q01_P | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.6767553 | 0.6767553 | 0.6767553 |
| 31 | NDe =~ CBCL_Q04_P | =~ | 1.1058060 | 0.0299345 | 36.940832 | 0.0000000 | 0.7483601 | 0.7483601 | 0.7483601 |
| 32 | NDe =~ CBCL_Q09_P | =~ | 1.1244913 | 0.0315322 | 35.661662 | 0.0000000 | 0.7610054 | 0.7610054 | 0.7610054 |
| 33 | NDe =~ CBCL_Q13_P | =~ | 1.0728919 | 0.0411546 | 26.069775 | 0.0000000 | 0.7260853 | 0.7260853 | 0.7260853 |
| 34 | NDe =~ CBCL_Q17_P | =~ | 0.8832541 | 0.0319578 | 27.638174 | 0.0000000 | 0.5977469 | 0.5977469 | 0.5977469 |
| 35 | NDe =~ CBCL_Q36_P | =~ | 0.8310539 | 0.0335036 | 24.804912 | 0.0000000 | 0.5624201 | 0.5624201 | 0.5624201 |
| 36 | NDe =~ CBCL_Q46_P | =~ | 0.9379006 | 0.0371519 | 25.245018 | 0.0000000 | 0.6347292 | 0.6347292 | 0.6347292 |
| 37 | NDe =~ CBCL_Q61_P | =~ | 1.0594729 | 0.0339154 | 31.238694 | 0.0000000 | 0.7170039 | 0.7170039 | 0.7170039 |
| 38 | NDe =~ CBCL_Q62_P | =~ | 0.9834611 | 0.0333443 | 29.494089 | 0.0000000 | 0.6655625 | 0.6655625 | 0.6655625 |
| 39 | NDe =~ CBCL_Q64_P | =~ | 0.9033973 | 0.0329364 | 27.428525 | 0.0000000 | 0.6113789 | 0.6113789 | 0.6113789 |
| 40 | NDe =~ CBCL_Q66_P | =~ | 1.0457036 | 0.0419781 | 24.910675 | 0.0000000 | 0.7076854 | 0.7076854 | 0.7076854 |
| 41 | NDe =~ CBCL_Q80_P | =~ | 1.0554511 | 0.0370634 | 28.476914 | 0.0000000 | 0.7142821 | 0.7142821 | 0.7142821 |
| 42 | NDe =~ CBCL_Q85_P | =~ | 1.0544262 | 0.0421214 | 25.033002 | 0.0000000 | 0.7135885 | 0.7135885 | 0.7135885 |
| 43 | NDe =~ CBCL_Q93_P | =~ | 0.8796751 | 0.0307149 | 28.640030 | 0.0000000 | 0.5953248 | 0.5953248 | 0.5953248 |
| 44 | NDe =~ Com6_Distracted | =~ | 1.1873570 | 0.0306678 | 38.716780 | 0.0000000 | 0.8035501 | 0.8035501 | 0.8035501 |
| 45 | Int =~ CBCL_Q112_P | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.7643574 | 0.7643574 | 0.7643574 |
| 46 | Int =~ CBCL_Q12_P | =~ | 1.0045158 | 0.0293058 | 34.277048 | 0.0000000 | 0.7678090 | 0.7678090 | 0.7678090 |
| 47 | Int =~ CBCL_Q29_P | =~ | 0.7847860 | 0.0263685 | 29.762209 | 0.0000000 | 0.5998569 | 0.5998569 | 0.5998569 |
| 48 | Int =~ CBCL_Q30_P | =~ | 0.8867340 | 0.0420491 | 21.088050 | 0.0000000 | 0.6777817 | 0.6777817 | 0.6777817 |
| 49 | Int =~ CBCL_Q31_P | =~ | 0.8626664 | 0.0321814 | 26.806355 | 0.0000000 | 0.6593854 | 0.6593854 | 0.6593854 |
| 50 | Int =~ CBCL_Q32_P | =~ | 0.6455333 | 0.0246126 | 26.227734 | 0.0000000 | 0.4934181 | 0.4934181 | 0.4934181 |
| 51 | Int =~ CBCL_Q35_P | =~ | 1.0521003 | 0.0245908 | 42.784372 | 0.0000000 | 0.8041806 | 0.8041806 | 0.8041806 |
| 52 | Int =~ CBCL_Q45_P | =~ | 1.0593442 | 0.0227391 | 46.586833 | 0.0000000 | 0.8097176 | 0.8097176 | 0.8097176 |
| 53 | Int =~ CBCL_Q50_P | =~ | 1.0516249 | 0.0199899 | 52.607860 | 0.0000000 | 0.8038172 | 0.8038172 | 0.8038172 |
| 54 | Int =~ CBCL_Q52_P | =~ | 0.9057100 | 0.0310961 | 29.126148 | 0.0000000 | 0.6922861 | 0.6922861 | 0.6922861 |
| 55 | Int =~ CBCL_Q71_P | =~ | 0.9111504 | 0.0211219 | 43.137701 | 0.0000000 | 0.6964445 | 0.6964445 | 0.6964445 |
| 56 | Som =~ CBCL_Q51_P | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.7064702 | 0.7064702 | 0.7064702 |
| 57 | Som =~ CBCL_Q56A_P | =~ | 0.9139664 | 0.0677470 | 13.490882 | 0.0000000 | 0.6456901 | 0.6456901 | 0.6456901 |
| 58 | Som =~ CBCL_Q56B_P | =~ | 0.8555052 | 0.0602256 | 14.205002 | 0.0000000 | 0.6043890 | 0.6043890 | 0.6043890 |
| 59 | Som =~ CBCL_Q56C_P | =~ | 1.1924475 | 0.0775385 | 15.378780 | 0.0000000 | 0.8424287 | 0.8424287 | 0.8424287 |
| 60 | Som =~ CBCL_Q56D_P | =~ | 0.7064429 | 0.0801663 | 8.812216 | 0.0000000 | 0.4990809 | 0.4990809 | 0.4990809 |
| 61 | Som =~ CBCL_Q56E_P | =~ | 0.5753711 | 0.0576905 | 9.973409 | 0.0000000 | 0.4064825 | 0.4064825 | 0.4064825 |
| 62 | Som =~ CBCL_Q56F_P | =~ | 1.0711557 | 0.0678317 | 15.791362 | 0.0000000 | 0.7567396 | 0.7567396 | 0.7567396 |
| 63 | Som =~ CBCL_Q56G_P | =~ | 0.7256458 | 0.0734061 | 9.885363 | 0.0000000 | 0.5126471 | 0.5126471 | 0.5126471 |
| 64 | Som =~ CBCL_Q56H_P | =~ | 0.9423488 | 0.0963168 | 9.783843 | 0.0000000 | 0.6657414 | 0.6657414 | 0.6657414 |
| 65 | Det =~ CBCL_Q102_P | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.7643103 | 0.7643103 | 0.7643103 |
| 66 | Det =~ CBCL_Q111_P | =~ | 1.1295453 | 0.0450173 | 25.091341 | 0.0000000 | 0.8633231 | 0.8633231 | 0.8633231 |
| 67 | Det =~ CBCL_Q42_P | =~ | 0.8326718 | 0.0374687 | 22.223104 | 0.0000000 | 0.6364196 | 0.6364196 | 0.6364196 |
| 68 | Det =~ CBCL_Q65_P | =~ | 1.0164918 | 0.0477672 | 21.280114 | 0.0000000 | 0.7769152 | 0.7769152 | 0.7769152 |
| 69 | Det =~ CBCL_Q75_P | =~ | 0.7829301 | 0.0384351 | 20.370164 | 0.0000000 | 0.5984016 | 0.5984016 | 0.5984016 |
| 70 | CBCL_Q03_P | t1 | | | 0.0940588 | 0.0181135 | 5.192751 | 0.0000002 | 0.0940588 | 0.0940588 | 0.0940588 |
| 71 | CBCL_Q03_P | t2 | | | 1.3541550 | 0.0256102 | 52.875521 | 0.0000000 | 1.3541550 | 1.3541550 | 1.3541550 |
| 72 | CBCL_Q07_P | t1 | | | 0.6293157 | 0.0194480 | 32.358973 | 0.0000000 | 0.6293157 | 0.6293157 | 0.6293157 |
| 73 | CBCL_Q07_P | t2 | | | 2.0128549 | 0.0402838 | 49.966840 | 0.0000000 | 2.0128549 | 2.0128549 | 2.0128549 |
| 74 | CBCL_Q109_P | t1 | | | 0.5191393 | 0.0189985 | 27.325324 | 0.0000000 | 0.5191393 | 0.5191393 | 0.5191393 |
| 75 | CBCL_Q109_P | t2 | | | 1.9497382 | 0.0382237 | 51.008562 | 0.0000000 | 1.9497382 | 1.9497382 | 1.9497382 |
| 76 | CBCL_Q15_P | t1 | | | 2.4035562 | 0.0583139 | 41.217567 | 0.0000000 | 2.4035562 | 2.4035562 | 2.4035562 |
| 77 | CBCL_Q15_P | t2 | | | 3.3417102 | 0.1962663 | 17.026405 | 0.0000000 | 3.3417102 | 3.3417102 | 3.3417102 |
| 78 | CBCL_Q16_P | t1 | | | 1.4533441 | 0.0270627 | 53.702873 | 0.0000000 | 1.4533441 | 1.4533441 | 1.4533441 |
| 79 | CBCL_Q16_P | t2 | | | 2.6931786 | 0.0807238 | 33.362888 | 0.0000000 | 2.6931786 | 2.6931786 | 2.6931786 |
| 80 | CBCL_Q19_P | t1 | | | 0.7671973 | 0.0201580 | 38.059121 | 0.0000000 | 0.7671973 | 0.7671973 | 0.7671973 |
| 81 | CBCL_Q19_P | t2 | | | 1.7657639 | 0.0331713 | 53.231704 | 0.0000000 | 1.7657639 | 1.7657639 | 1.7657639 |
| 82 | CBCL_Q26_P | t1 | | | 1.2062350 | 0.0237808 | 50.723117 | 0.0000000 | 1.2062350 | 1.2062350 | 1.2062350 |
| 83 | CBCL_Q26_P | t2 | | | 2.2547895 | 0.0501882 | 44.926697 | 0.0000000 | 2.2547895 | 2.2547895 | 2.2547895 |
| 84 | CBCL_Q27_P | t1 | | | 0.7998228 | 0.0203520 | 39.299431 | 0.0000000 | 0.7998228 | 0.7998228 | 0.7998228 |
| 85 | CBCL_Q27_P | t2 | | | 1.9567685 | 0.0384441 | 50.899043 | 0.0000000 | 1.9567685 | 1.9567685 | 1.9567685 |
| 86 | CBCL_Q34_P | t1 | | | 1.6176168 | 0.0299474 | 54.015292 | 0.0000000 | 1.6176168 | 1.6176168 | 1.6176168 |
| 87 | CBCL_Q34_P | t2 | | | 2.6219543 | 0.0742165 | 35.328447 | 0.0000000 | 2.6219543 | 2.6219543 | 2.6219543 |
| 88 | CBCL_Q37_P | t1 | | | 1.9192381 | 0.0372928 | 51.463985 | 0.0000000 | 1.9192381 | 1.9192381 | 1.9192381 |
| 89 | CBCL_Q37_P | t2 | | | 3.0235935 | 0.1234588 | 24.490712 | 0.0000000 | 3.0235935 | 3.0235935 | 3.0235935 |
| 90 | CBCL_Q39_P | t1 | | | 1.5413540 | 0.0285273 | 54.030820 | 0.0000000 | 1.5413540 | 1.5413540 | 1.5413540 |
| 91 | CBCL_Q39_P | t2 | | | 2.7814206 | 0.0899149 | 30.933918 | 0.0000000 | 2.7814206 | 2.7814206 | 2.7814206 |
| 92 | CBCL_Q43_P | t1 | | | 0.7491140 | 0.0200550 | 37.353058 | 0.0000000 | 0.7491140 | 0.7491140 | 0.7491140 |
| 93 | CBCL_Q43_P | t2 | | | 2.1489256 | 0.0454189 | 47.313497 | 0.0000000 | 2.1489256 | 2.1489256 | 2.1489256 |
| 94 | CBCL_Q67_P | t1 | | | 2.6931786 | 0.0807238 | 33.362888 | 0.0000000 | 2.6931786 | 2.6931786 | 2.6931786 |
| 95 | CBCL_Q67_P | t2 | | | 3.5295165 | 0.2646036 | 13.338881 | 0.0000000 | 3.5295165 | 3.5295165 | 3.5295165 |
| 96 | CBCL_Q68_P | t1 | | | 1.2415445 | 0.0241841 | 51.337195 | 0.0000000 | 1.2415445 | 1.2415445 | 1.2415445 |
| 97 | CBCL_Q68_P | t2 | | | 2.1987821 | 0.0475717 | 46.220342 | 0.0000000 | 2.1987821 | 2.1987821 | 2.1987821 |
| 98 | CBCL_Q72_P | t1 | | | 2.5907985 | 0.0715975 | 36.185617 | 0.0000000 | 2.5907985 | 2.5907985 | 2.5907985 |
| 99 | CBCL_Q72_P | t2 | | | 3.5295165 | 0.2646036 | 13.338881 | 0.0000000 | 3.5295165 | 3.5295165 | 3.5295165 |
| 100 | CBCL_Q74_P | t1 | | | 0.5872500 | 0.0192646 | 30.483449 | 0.0000000 | 0.5872500 | 0.5872500 | 0.5872500 |
| 101 | CBCL_Q74_P | t2 | | | 1.8122880 | 0.0343283 | 52.792776 | 0.0000000 | 1.8122880 | 1.8122880 | 1.8122880 |
| 102 | CBCL_Q86_P | t1 | | | 0.3877944 | 0.0185873 | 20.863388 | 0.0000000 | 0.3877944 | 0.3877944 | 0.3877944 |
| 103 | CBCL_Q86_P | t2 | | | 1.7510727 | 0.0328212 | 53.351831 | 0.0000000 | 1.7510727 | 1.7510727 | 1.7510727 |
| 104 | CBCL_Q87_P | t1 | | | 0.8586966 | 0.0207290 | 41.424865 | 0.0000000 | 0.8586966 | 0.8586966 | 0.8586966 |
| 105 | CBCL_Q87_P | t2 | | | 2.0248679 | 0.0406975 | 49.754125 | 0.0000000 | 2.0248679 | 2.0248679 | 2.0248679 |
| 106 | CBCL_Q88_P | t1 | | | 1.1007071 | 0.0226876 | 48.515845 | 0.0000000 | 1.1007071 | 1.1007071 | 1.1007071 |
| 107 | CBCL_Q88_P | t2 | | | 2.2353329 | 0.0492543 | 45.383463 | 0.0000000 | 2.2353329 | 2.2353329 | 2.2353329 |
| 108 | CBCL_Q89_P | t1 | | | 1.9292064 | 0.0375927 | 51.318705 | 0.0000000 | 1.9292064 | 1.9292064 | 1.9292064 |
| 109 | CBCL_Q89_P | t2 | | | 2.7346430 | 0.0848760 | 32.219272 | 0.0000000 | 2.7346430 | 2.7346430 | 2.7346430 |
| 110 | CBCL_Q90_P | t1 | | | 1.5447861 | 0.0285881 | 54.036023 | 0.0000000 | 1.5447861 | 1.5447861 | 1.5447861 |
| 111 | CBCL_Q90_P | t2 | | | 2.3763382 | 0.0566861 | 41.920982 | 0.0000000 | 2.3763382 | 2.3763382 | 2.3763382 |
| 112 | CBCL_Q94_P | t1 | | | 1.3049103 | 0.0249593 | 52.281531 | 0.0000000 | 1.3049103 | 1.3049103 | 1.3049103 |
| 113 | CBCL_Q94_P | t2 | | | 2.4863551 | 0.0637093 | 39.026538 | 0.0000000 | 2.4863551 | 2.4863551 | 2.4863551 |
| 114 | CBCL_Q95_P | t1 | | | 0.6141230 | 0.0193800 | 31.688502 | 0.0000000 | 0.6141230 | 0.6141230 | 0.6141230 |
| 115 | CBCL_Q95_P | t2 | | | 1.7757739 | 0.0334139 | 53.144721 | 0.0000000 | 1.7757739 | 1.7757739 | 1.7757739 |
| 116 | CBCL_Q96_P | t1 | | | 2.4750372 | 0.0629301 | 39.329948 | 0.0000000 | 2.4750372 | 2.4750372 | 2.4750372 |
| 117 | CBCL_Q96_P | t2 | | | 3.2274568 | 0.1651454 | 19.543127 | 0.0000000 | 3.2274568 | 3.2274568 | 3.2274568 |
| 118 | Com1_Attack | t1 | | | 1.4731297 | 0.0273768 | 53.809505 | 0.0000000 | 1.4731297 | 1.4731297 | 1.4731297 |
| 119 | Com1_Attack | t2 | | | 2.8987213 | 0.1044346 | 27.756330 | 0.0000000 | 2.8987213 | 2.8987213 | 2.8987213 |
| 120 | Com2_Destroy | t1 | | | 1.6870677 | 0.0313768 | 53.768054 | 0.0000000 | 1.6870677 | 1.6870677 | 1.6870677 |
| 121 | Com2_Destroy | t2 | | | 3.0235935 | 0.1234588 | 24.490712 | 0.0000000 | 3.0235935 | 3.0235935 | 3.0235935 |
| 122 | Com3_Disobeys | t1 | | | 0.7387920 | 0.0199975 | 36.944204 | 0.0000000 | 0.7387920 | 0.7387920 | 0.7387920 |
| 123 | Com3_Disobeys | t2 | | | 2.3676441 | 0.0561804 | 42.143618 | 0.0000000 | 2.3676441 | 2.3676441 | 2.3676441 |
| 124 | Com4_Steals | t1 | | | 1.7068848 | 0.0318104 | 53.658094 | 0.0000000 | 1.7068848 | 1.7068848 | 1.7068848 |
| 125 | Com4_Steals | t2 | | | 3.0783363 | 0.1332023 | 23.110231 | 0.0000000 | 3.0783363 | 3.0783363 | 3.0783363 |
| 126 | Com5_Peer | t1 | | | 1.1103205 | 0.0227806 | 48.739813 | 0.0000000 | 1.1103205 | 1.1103205 | 1.1103205 |
| 127 | Com5_Peer | t2 | | | 2.4750372 | 0.0629301 | 39.329948 | 0.0000000 | 2.4750372 | 2.4750372 | 2.4750372 |
| 128 | CBCL_Q01_P | t1 | | | 0.7983867 | 0.0203433 | 39.245758 | 0.0000000 | 0.7983867 | 0.7983867 | 0.7983867 |
| 129 | CBCL_Q01_P | t2 | | | 1.9674988 | 0.0387847 | 50.728673 | 0.0000000 | 1.9674988 | 1.9674988 | 1.9674988 |
| 130 | CBCL_Q04_P | t1 | | | 0.2220010 | 0.0182473 | 12.166270 | 0.0000000 | 0.2220010 | 0.2220010 | 0.2220010 |
| 131 | CBCL_Q04_P | t2 | | | 1.5765277 | 0.0291638 | 54.057614 | 0.0000000 | 1.5765277 | 1.5765277 | 1.5765277 |
| 132 | CBCL_Q09_P | t1 | | | 0.6153836 | 0.0193856 | 31.744435 | 0.0000000 | 0.6153836 | 0.6153836 | 0.6153836 |
| 133 | CBCL_Q09_P | t2 | | | 1.6721001 | 0.0310570 | 53.839646 | 0.0000000 | 1.6721001 | 1.6721001 | 1.6721001 |
| 134 | CBCL_Q13_P | t1 | | | 1.6452574 | 0.0304999 | 53.942987 | 0.0000000 | 1.6452574 | 1.6452574 | 1.6452574 |
| 135 | CBCL_Q13_P | t2 | | | 2.5223625 | 0.0662827 | 38.054594 | 0.0000000 | 2.5223625 | 2.5223625 | 2.5223625 |
| 136 | CBCL_Q17_P | t1 | | | 0.5614054 | 0.0191592 | 29.302178 | 0.0000000 | 0.5614054 | 0.5614054 | 0.5614054 |
| 137 | CBCL_Q17_P | t2 | | | 1.7707467 | 0.0332916 | 53.188922 | 0.0000000 | 1.7707467 | 1.7707467 | 1.7707467 |
| 138 | CBCL_Q36_P | t1 | | | 1.0079286 | 0.0218531 | 46.122865 | 0.0000000 | 1.0079286 | 1.0079286 | 1.0079286 |
| 139 | CBCL_Q36_P | t2 | | | 2.0716144 | 0.0423773 | 48.884999 | 0.0000000 | 2.0716144 | 2.0716144 | 2.0716144 |
| 140 | CBCL_Q46_P | t1 | | | 1.2506174 | 0.0242910 | 51.484839 | 0.0000000 | 1.2506174 | 1.2506174 | 1.2506174 |
| 141 | CBCL_Q46_P | t2 | | | 2.1086957 | 0.0437933 | 48.151104 | 0.0000000 | 2.1086957 | 2.1086957 | 2.1086957 |
| 142 | CBCL_Q61_P | t1 | | | 1.1912502 | 0.0236155 | 50.443560 | 0.0000000 | 1.1912502 | 1.1912502 | 1.1912502 |
| 143 | CBCL_Q61_P | t2 | | | 2.1987821 | 0.0475717 | 46.220342 | 0.0000000 | 2.1987821 | 2.1987821 | 2.1987821 |
| 144 | CBCL_Q62_P | t1 | | | 1.1912502 | 0.0236155 | 50.443560 | 0.0000000 | 1.1912502 | 1.1912502 | 1.1912502 |
| 145 | CBCL_Q62_P | t2 | | | 2.1385400 | 0.0449900 | 47.533687 | 0.0000000 | 2.1385400 | 2.1385400 | 2.1385400 |
| 146 | CBCL_Q64_P | t1 | | | 0.9984354 | 0.0217739 | 45.854683 | 0.0000000 | 0.9984354 | 0.9984354 | 0.9984354 |
| 147 | CBCL_Q64_P | t2 | | | 2.1184353 | 0.0441781 | 47.952160 | 0.0000000 | 2.1184353 | 2.1184353 | 2.1184353 |
| 148 | CBCL_Q66_P | t1 | | | 1.5604604 | 0.0288693 | 54.052654 | 0.0000000 | 1.5604604 | 1.5604604 | 1.5604604 |
| 149 | CBCL_Q66_P | t2 | | | 2.3507744 | 0.0552180 | 42.572590 | 0.0000000 | 2.3507744 | 2.3507744 | 2.3507744 |
| 150 | CBCL_Q80_P | t1 | | | 1.4083274 | 0.0263790 | 53.388180 | 0.0000000 | 1.4083274 | 1.4083274 | 1.4083274 |
| 151 | CBCL_Q80_P | t2 | | | 2.5099954 | 0.0653824 | 38.389482 | 0.0000000 | 2.5099954 | 2.5099954 | 2.5099954 |
| 152 | CBCL_Q85_P | t1 | | | 1.5499686 | 0.0286804 | 54.042816 | 0.0000000 | 1.5499686 | 1.5499686 | 1.5499686 |
| 153 | CBCL_Q85_P | t2 | | | 2.7572781 | 0.0872654 | 31.596456 | 0.0000000 | 2.7572781 | 2.7572781 | 2.7572781 |
| 154 | CBCL_Q93_P | t1 | | | 0.6331366 | 0.0194654 | 32.526337 | 0.0000000 | 0.6331366 | 0.6331366 | 0.6331366 |
| 155 | CBCL_Q93_P | t2 | | | 1.6979948 | 0.0316144 | 53.709548 | 0.0000000 | 1.6979948 | 1.6979948 | 1.6979948 |
| 156 | Com6_Distracted | t1 | | | 0.3293624 | 0.0184454 | 17.856087 | 0.0000000 | 0.3293624 | 0.3293624 | 0.3293624 |
| 157 | Com6_Distracted | t2 | | | 1.4967002 | 0.0277622 | 53.911498 | 0.0000000 | 1.4967002 | 1.4967002 | 1.4967002 |
| 158 | CBCL_Q112_P | t1 | | | 0.2623014 | 0.0183123 | 14.323798 | 0.0000000 | 0.2623014 | 0.2623014 | 0.2623014 |
| 159 | CBCL_Q112_P | t2 | | | 1.6412315 | 0.0304181 | 53.955686 | 0.0000000 | 1.6412315 | 1.6412315 | 1.6412315 |
| 160 | CBCL_Q12_P | t1 | | | 1.1796615 | 0.0234900 | 50.219635 | 0.0000000 | 1.1796615 | 1.1796615 | 1.1796615 |
| 161 | CBCL_Q12_P | t2 | | | 2.2482090 | 0.0498693 | 45.082023 | 0.0000000 | 2.2482090 | 2.2482090 | 2.2482090 |
| 162 | CBCL_Q29_P | t1 | | | 0.9025257 | 0.0210332 | 42.909551 | 0.0000000 | 0.9025257 | 0.9025257 | 0.9025257 |
| 163 | CBCL_Q29_P | t2 | | | 2.1086957 | 0.0437933 | 48.151104 | 0.0000000 | 2.1086957 | 2.1086957 | 2.1086957 |
| 164 | CBCL_Q30_P | t1 | | | 1.7002047 | 0.0316629 | 53.697079 | 0.0000000 | 1.7002047 | 1.7002047 | 1.7002047 |
| 165 | CBCL_Q30_P | t2 | | | 2.6558843 | 0.0772226 | 34.392568 | 0.0000000 | 2.6558843 | 2.6558843 | 2.6558843 |
| 166 | CBCL_Q31_P | t1 | | | 1.3646713 | 0.0257551 | 52.986550 | 0.0000000 | 1.3646713 | 1.3646713 | 1.3646713 |
| 167 | CBCL_Q31_P | t2 | | | 2.5099954 | 0.0653824 | 38.389482 | 0.0000000 | 2.5099954 | 2.5099954 | 2.5099954 |
| 168 | CBCL_Q32_P | t1 | | | 0.4871601 | 0.0188863 | 25.794417 | 0.0000000 | 0.4871601 | 0.4871601 | 0.4871601 |
| 169 | CBCL_Q32_P | t2 | | | 1.6957931 | 0.0315662 | 53.721757 | 0.0000000 | 1.6957931 | 1.6957931 | 1.6957931 |
| 170 | CBCL_Q35_P | t1 | | | 1.0495572 | 0.0222138 | 47.248082 | 0.0000000 | 1.0495572 | 1.0495572 | 1.0495572 |
| 171 | CBCL_Q35_P | t2 | | | 2.2751391 | 0.0511945 | 44.441094 | 0.0000000 | 2.2751391 | 2.2751391 | 2.2751391 |
| 172 | CBCL_Q45_P | t1 | | | 0.8055837 | 0.0203874 | 39.513882 | 0.0000000 | 0.8055837 | 0.8055837 | 0.8055837 |
| 173 | CBCL_Q45_P | t2 | | | 1.9603203 | 0.0385563 | 50.843078 | 0.0000000 | 1.9603203 | 1.9603203 | 1.9603203 |
| 174 | CBCL_Q50_P | t1 | | | 0.7062758 | 0.0198230 | 35.629073 | 0.0000000 | 0.7062758 | 0.7062758 | 0.7062758 |
| 175 | CBCL_Q50_P | t2 | | | 1.8781082 | 0.0360996 | 52.025734 | 0.0000000 | 1.8781082 | 1.8781082 | 1.8781082 |
| 176 | CBCL_Q52_P | t1 | | | 1.4444012 | 0.0269235 | 53.648348 | 0.0000000 | 1.4444012 | 1.4444012 | 1.4444012 |
| 177 | CBCL_Q52_P | t2 | | | 2.4428649 | 0.0607888 | 40.186081 | 0.0000000 | 2.4428649 | 2.4428649 | 2.4428649 |
| 178 | CBCL_Q71_P | t1 | | | 0.1066448 | 0.0181218 | 5.884890 | 0.0000000 | 0.1066448 | 0.1066448 | 0.1066448 |
| 179 | CBCL_Q71_P | t2 | | | 1.5112515 | 0.0280064 | 53.960957 | 0.0000000 | 1.5112515 | 1.5112515 | 1.5112515 |
| 180 | CBCL_Q51_P | t1 | | | 1.7391124 | 0.0325415 | 53.442941 | 0.0000000 | 1.7391124 | 1.7391124 | 1.7391124 |
| 181 | CBCL_Q51_P | t2 | | | 2.9354579 | 0.1096110 | 26.780687 | 0.0000000 | 2.9354579 | 2.9354579 | 2.9354579 |
| 182 | CBCL_Q56A_P | t1 | | | 0.9319278 | 0.0212491 | 43.857384 | 0.0000000 | 0.9319278 | 0.9319278 | 0.9319278 |
| 183 | CBCL_Q56A_P | t2 | | | 2.2106399 | 0.0481076 | 45.951979 | 0.0000000 | 2.2106399 | 2.2106399 | 2.2106399 |
| 184 | CBCL_Q56B_P | t1 | | | 0.5675243 | 0.0191836 | 29.583787 | 0.0000000 | 0.5675243 | 0.5675243 | 0.5675243 |
| 185 | CBCL_Q56B_P | t2 | | | 2.0716144 | 0.0423773 | 48.884999 | 0.0000000 | 2.0716144 | 2.0716144 | 2.0716144 |
| 186 | CBCL_Q56C_P | t1 | | | 1.0743159 | 0.0224388 | 47.877669 | 0.0000000 | 1.0743159 | 1.0743159 | 1.0743159 |
| 187 | CBCL_Q56C_P | t2 | | | 2.4035562 | 0.0583139 | 41.217567 | 0.0000000 | 2.4035562 | 2.4035562 | 2.4035562 |
| 188 | CBCL_Q56D_P | t1 | | | 1.9094570 | 0.0370027 | 51.603116 | 0.0000000 | 1.9094570 | 1.9094570 | 1.9094570 |
| 189 | CBCL_Q56D_P | t2 | | | 2.5907985 | 0.0715975 | 36.185617 | 0.0000000 | 2.5907985 | 2.5907985 | 2.5907985 |
| 190 | CBCL_Q56E_P | t1 | | | 1.0595657 | 0.0223037 | 47.506171 | 0.0000000 | 1.0595657 | 1.0595657 | 1.0595657 |
| 191 | CBCL_Q56E_P | t2 | | | 2.1489256 | 0.0454189 | 47.313497 | 0.0000000 | 2.1489256 | 2.1489256 | 2.1489256 |
| 192 | CBCL_Q56F_P | t1 | | | 0.6922834 | 0.0197509 | 35.050703 | 0.0000000 | 0.6922834 | 0.6922834 | 0.6922834 |
| 193 | CBCL_Q56F_P | t2 | | | 2.1038999 | 0.0436058 | 48.248137 | 0.0000000 | 2.1038999 | 2.1038999 | 2.1038999 |
| 194 | CBCL_Q56G_P | t1 | | | 1.7438666 | 0.0326521 | 53.407448 | 0.0000000 | 1.7438666 | 1.7438666 | 1.7438666 |
| 195 | CBCL_Q56G_P | t2 | | | 3.1442240 | 0.1462616 | 21.497262 | 0.0000000 | 3.1442240 | 3.1442240 | 3.1442240 |
| 196 | CBCL_Q56H_P | t1 | | | 1.9821679 | 0.0392590 | 50.489572 | 0.0000000 | 1.9821679 | 1.9821679 | 1.9821679 |
| 197 | CBCL_Q56H_P | t2 | | | 2.7814206 | 0.0899149 | 30.933918 | 0.0000000 | 2.7814206 | 2.7814206 | 2.7814206 |
| 198 | CBCL_Q102_P | t1 | | | 1.4903336 | 0.0276568 | 53.886621 | 0.0000000 | 1.4903336 | 1.4903336 | 1.4903336 |
| 199 | CBCL_Q102_P | t2 | | | 2.5099954 | 0.0653824 | 38.389482 | 0.0000000 | 2.5099954 | 2.5099954 | 2.5099954 |
| 200 | CBCL_Q111_P | t1 | | | 1.5178226 | 0.0281183 | 53.979931 | 0.0000000 | 1.5178226 | 1.5178226 | 1.5178226 |
| 201 | CBCL_Q111_P | t2 | | | 2.6740667 | 0.0789030 | 33.890569 | 0.0000000 | 2.6740667 | 2.6740667 | 2.6740667 |
| 202 | CBCL_Q42_P | t1 | | | 0.9408254 | 0.0213163 | 44.136464 | 0.0000000 | 0.9408254 | 0.9408254 | 0.9408254 |
| 203 | CBCL_Q42_P | t2 | | | 2.1815551 | 0.0468098 | 46.604622 | 0.0000000 | 2.1815551 | 2.1815551 | 2.1815551 |
| 204 | CBCL_Q65_P | t1 | | | 1.4370361 | 0.0268101 | 53.600474 | 0.0000000 | 1.4370361 | 1.4370361 | 1.4370361 |
| 205 | CBCL_Q65_P | t2 | | | 2.5907985 | 0.0715975 | 36.185617 | 0.0000000 | 2.5907985 | 2.5907985 | 2.5907985 |
| 206 | CBCL_Q75_P | t1 | | | 0.8474350 | 0.0206541 | 41.029772 | 0.0000000 | 0.8474350 | 0.8474350 | 0.8474350 |
| 207 | CBCL_Q75_P | t2 | | | 2.0540930 | 0.0417343 | 49.218311 | 0.0000000 | 2.0540930 | 2.0540930 | 2.0540930 |
| 208 | CBCL_Q03_P ~~ CBCL_Q03_P | ~~ | 0.3992983 | 0.0000000 | NA | NA | 0.3992983 | 0.3992983 | 0.3992983 |
| 209 | CBCL_Q07_P ~~ CBCL_Q07_P | ~~ | 0.6917815 | 0.0000000 | NA | NA | 0.6917815 | 0.6917815 | 0.6917815 |
| 210 | CBCL_Q109_P ~~ CBCL_Q109_P | ~~ | 0.5933537 | 0.0000000 | NA | NA | 0.5933537 | 0.5933537 | 0.5933537 |
| 211 | CBCL_Q15_P ~~ CBCL_Q15_P | ~~ | 0.5763927 | 0.0000000 | NA | NA | 0.5763927 | 0.5763927 | 0.5763927 |
| 212 | CBCL_Q16_P ~~ CBCL_Q16_P | ~~ | 0.4789202 | 0.0000000 | NA | NA | 0.4789202 | 0.4789202 | 0.4789202 |
| 213 | CBCL_Q19_P ~~ CBCL_Q19_P | ~~ | 0.4512494 | 0.0000000 | NA | NA | 0.4512494 | 0.4512494 | 0.4512494 |
| 214 | CBCL_Q26_P ~~ CBCL_Q26_P | ~~ | 0.5219327 | 0.0000000 | NA | NA | 0.5219327 | 0.5219327 | 0.5219327 |
| 215 | CBCL_Q27_P ~~ CBCL_Q27_P | ~~ | 0.5160290 | 0.0000000 | NA | NA | 0.5160290 | 0.5160290 | 0.5160290 |
| 216 | CBCL_Q34_P ~~ CBCL_Q34_P | ~~ | 0.4917008 | 0.0000000 | NA | NA | 0.4917008 | 0.4917008 | 0.4917008 |
| 217 | CBCL_Q37_P ~~ CBCL_Q37_P | ~~ | 0.4091512 | 0.0000000 | NA | NA | 0.4091512 | 0.4091512 | 0.4091512 |
| 218 | CBCL_Q39_P ~~ CBCL_Q39_P | ~~ | 0.7257003 | 0.0000000 | NA | NA | 0.7257003 | 0.7257003 | 0.7257003 |
| 219 | CBCL_Q43_P ~~ CBCL_Q43_P | ~~ | 0.5159103 | 0.0000000 | NA | NA | 0.5159103 | 0.5159103 | 0.5159103 |
| 220 | CBCL_Q67_P ~~ CBCL_Q67_P | ~~ | 0.4613513 | 0.0000000 | NA | NA | 0.4613513 | 0.4613513 | 0.4613513 |
| 221 | CBCL_Q68_P ~~ CBCL_Q68_P | ~~ | 0.4043851 | 0.0000000 | NA | NA | 0.4043851 | 0.4043851 | 0.4043851 |
| 222 | CBCL_Q72_P ~~ CBCL_Q72_P | ~~ | 0.7773028 | 0.0000000 | NA | NA | 0.7773028 | 0.7773028 | 0.7773028 |
| 223 | CBCL_Q74_P ~~ CBCL_Q74_P | ~~ | 0.6743129 | 0.0000000 | NA | NA | 0.6743129 | 0.6743129 | 0.6743129 |
| 224 | CBCL_Q86_P ~~ CBCL_Q86_P | ~~ | 0.3944468 | 0.0000000 | NA | NA | 0.3944468 | 0.3944468 | 0.3944468 |
| 225 | CBCL_Q87_P ~~ CBCL_Q87_P | ~~ | 0.3942691 | 0.0000000 | NA | NA | 0.3942691 | 0.3942691 | 0.3942691 |
| 226 | CBCL_Q88_P ~~ CBCL_Q88_P | ~~ | 0.4377748 | 0.0000000 | NA | NA | 0.4377748 | 0.4377748 | 0.4377748 |
| 227 | CBCL_Q89_P ~~ CBCL_Q89_P | ~~ | 0.4364580 | 0.0000000 | NA | NA | 0.4364580 | 0.4364580 | 0.4364580 |
| 228 | CBCL_Q90_P ~~ CBCL_Q90_P | ~~ | 0.6486043 | 0.0000000 | NA | NA | 0.6486043 | 0.6486043 | 0.6486043 |
| 229 | CBCL_Q94_P ~~ CBCL_Q94_P | ~~ | 0.6297836 | 0.0000000 | NA | NA | 0.6297836 | 0.6297836 | 0.6297836 |
| 230 | CBCL_Q95_P ~~ CBCL_Q95_P | ~~ | 0.4149308 | 0.0000000 | NA | NA | 0.4149308 | 0.4149308 | 0.4149308 |
| 231 | CBCL_Q96_P ~~ CBCL_Q96_P | ~~ | 0.6718017 | 0.0000000 | NA | NA | 0.6718017 | 0.6718017 | 0.6718017 |
| 232 | Com1_Attack ~~ Com1_Attack | ~~ | 0.4350074 | 0.0000000 | NA | NA | 0.4350074 | 0.4350074 | 0.4350074 |
| 233 | Com2_Destroy ~~ Com2_Destroy | ~~ | 0.4109285 | 0.0000000 | NA | NA | 0.4109285 | 0.4109285 | 0.4109285 |
| 234 | Com3_Disobeys ~~ Com3_Disobeys | ~~ | 0.3611641 | 0.0000000 | NA | NA | 0.3611641 | 0.3611641 | 0.3611641 |
| 235 | Com4_Steals ~~ Com4_Steals | ~~ | 0.5146493 | 0.0000000 | NA | NA | 0.5146493 | 0.5146493 | 0.5146493 |
| 236 | Com5_Peer ~~ Com5_Peer | ~~ | 0.4164321 | 0.0000000 | NA | NA | 0.4164321 | 0.4164321 | 0.4164321 |
| 237 | CBCL_Q01_P ~~ CBCL_Q01_P | ~~ | 0.5420023 | 0.0000000 | NA | NA | 0.5420023 | 0.5420023 | 0.5420023 |
| 238 | CBCL_Q04_P ~~ CBCL_Q04_P | ~~ | 0.4399572 | 0.0000000 | NA | NA | 0.4399572 | 0.4399572 | 0.4399572 |
| 239 | CBCL_Q09_P ~~ CBCL_Q09_P | ~~ | 0.4208707 | 0.0000000 | NA | NA | 0.4208707 | 0.4208707 | 0.4208707 |
| 240 | CBCL_Q13_P ~~ CBCL_Q13_P | ~~ | 0.4728002 | 0.0000000 | NA | NA | 0.4728002 | 0.4728002 | 0.4728002 |
| 241 | CBCL_Q17_P ~~ CBCL_Q17_P | ~~ | 0.6426986 | 0.0000000 | NA | NA | 0.6426986 | 0.6426986 | 0.6426986 |
| 242 | CBCL_Q36_P ~~ CBCL_Q36_P | ~~ | 0.6836837 | 0.0000000 | NA | NA | 0.6836837 | 0.6836837 | 0.6836837 |
| 243 | CBCL_Q46_P ~~ CBCL_Q46_P | ~~ | 0.5971189 | 0.0000000 | NA | NA | 0.5971189 | 0.5971189 | 0.5971189 |
| 244 | CBCL_Q61_P ~~ CBCL_Q61_P | ~~ | 0.4859054 | 0.0000000 | NA | NA | 0.4859054 | 0.4859054 | 0.4859054 |
| 245 | CBCL_Q62_P ~~ CBCL_Q62_P | ~~ | 0.5570266 | 0.0000000 | NA | NA | 0.5570266 | 0.5570266 | 0.5570266 |
| 246 | CBCL_Q64_P ~~ CBCL_Q64_P | ~~ | 0.6262159 | 0.0000000 | NA | NA | 0.6262159 | 0.6262159 | 0.6262159 |
| 247 | CBCL_Q66_P ~~ CBCL_Q66_P | ~~ | 0.4991813 | 0.0000000 | NA | NA | 0.4991813 | 0.4991813 | 0.4991813 |
| 248 | CBCL_Q80_P ~~ CBCL_Q80_P | ~~ | 0.4898011 | 0.0000000 | NA | NA | 0.4898011 | 0.4898011 | 0.4898011 |
| 249 | CBCL_Q85_P ~~ CBCL_Q85_P | ~~ | 0.4907915 | 0.0000000 | NA | NA | 0.4907915 | 0.4907915 | 0.4907915 |
| 250 | CBCL_Q93_P ~~ CBCL_Q93_P | ~~ | 0.6455884 | 0.0000000 | NA | NA | 0.6455884 | 0.6455884 | 0.6455884 |
| 251 | Com6_Distracted ~~ Com6_Distracted | ~~ | 0.3543073 | 0.0000000 | NA | NA | 0.3543073 | 0.3543073 | 0.3543073 |
| 252 | CBCL_Q112_P ~~ CBCL_Q112_P | ~~ | 0.4157578 | 0.0000000 | NA | NA | 0.4157578 | 0.4157578 | 0.4157578 |
| 253 | CBCL_Q12_P ~~ CBCL_Q12_P | ~~ | 0.4104693 | 0.0000000 | NA | NA | 0.4104693 | 0.4104693 | 0.4104693 |
| 254 | CBCL_Q29_P ~~ CBCL_Q29_P | ~~ | 0.6401717 | 0.0000000 | NA | NA | 0.6401717 | 0.6401717 | 0.6401717 |
| 255 | CBCL_Q30_P ~~ CBCL_Q30_P | ~~ | 0.5406120 | 0.0000000 | NA | NA | 0.5406120 | 0.5406120 | 0.5406120 |
| 256 | CBCL_Q31_P ~~ CBCL_Q31_P | ~~ | 0.5652109 | 0.0000000 | NA | NA | 0.5652109 | 0.5652109 | 0.5652109 |
| 257 | CBCL_Q32_P ~~ CBCL_Q32_P | ~~ | 0.7565385 | 0.0000000 | NA | NA | 0.7565385 | 0.7565385 | 0.7565385 |
| 258 | CBCL_Q35_P ~~ CBCL_Q35_P | ~~ | 0.3532935 | 0.0000000 | NA | NA | 0.3532935 | 0.3532935 | 0.3532935 |
| 259 | CBCL_Q45_P ~~ CBCL_Q45_P | ~~ | 0.3443575 | 0.0000000 | NA | NA | 0.3443575 | 0.3443575 | 0.3443575 |
| 260 | CBCL_Q50_P ~~ CBCL_Q50_P | ~~ | 0.3538779 | 0.0000000 | NA | NA | 0.3538779 | 0.3538779 | 0.3538779 |
| 261 | CBCL_Q52_P ~~ CBCL_Q52_P | ~~ | 0.5207399 | 0.0000000 | NA | NA | 0.5207399 | 0.5207399 | 0.5207399 |
| 262 | CBCL_Q71_P ~~ CBCL_Q71_P | ~~ | 0.5149650 | 0.0000000 | NA | NA | 0.5149650 | 0.5149650 | 0.5149650 |
| 263 | CBCL_Q51_P ~~ CBCL_Q51_P | ~~ | 0.5008998 | 0.0000000 | NA | NA | 0.5008998 | 0.5008998 | 0.5008998 |
| 264 | CBCL_Q56A_P ~~ CBCL_Q56A_P | ~~ | 0.5830843 | 0.0000000 | NA | NA | 0.5830843 | 0.5830843 | 0.5830843 |
| 265 | CBCL_Q56B_P ~~ CBCL_Q56B_P | ~~ | 0.6347140 | 0.0000000 | NA | NA | 0.6347140 | 0.6347140 | 0.6347140 |
| 266 | CBCL_Q56C_P ~~ CBCL_Q56C_P | ~~ | 0.2903139 | 0.0000000 | NA | NA | 0.2903139 | 0.2903139 | 0.2903139 |
| 267 | CBCL_Q56D_P ~~ CBCL_Q56D_P | ~~ | 0.7509183 | 0.0000000 | NA | NA | 0.7509183 | 0.7509183 | 0.7509183 |
| 268 | CBCL_Q56E_P ~~ CBCL_Q56E_P | ~~ | 0.8347720 | 0.0000000 | NA | NA | 0.8347720 | 0.8347720 | 0.8347720 |
| 269 | CBCL_Q56F_P ~~ CBCL_Q56F_P | ~~ | 0.4273451 | 0.0000000 | NA | NA | 0.4273451 | 0.4273451 | 0.4273451 |
| 270 | CBCL_Q56G_P ~~ CBCL_Q56G_P | ~~ | 0.7371929 | 0.0000000 | NA | NA | 0.7371929 | 0.7371929 | 0.7371929 |
| 271 | CBCL_Q56H_P ~~ CBCL_Q56H_P | ~~ | 0.5567884 | 0.0000000 | NA | NA | 0.5567884 | 0.5567884 | 0.5567884 |
| 272 | CBCL_Q102_P ~~ CBCL_Q102_P | ~~ | 0.4158297 | 0.0000000 | NA | NA | 0.4158297 | 0.4158297 | 0.4158297 |
| 273 | CBCL_Q111_P ~~ CBCL_Q111_P | ~~ | 0.2546732 | 0.0000000 | NA | NA | 0.2546732 | 0.2546732 | 0.2546732 |
| 274 | CBCL_Q42_P ~~ CBCL_Q42_P | ~~ | 0.5949700 | 0.0000000 | NA | NA | 0.5949700 | 0.5949700 | 0.5949700 |
| 275 | CBCL_Q65_P ~~ CBCL_Q65_P | ~~ | 0.3964028 | 0.0000000 | NA | NA | 0.3964028 | 0.3964028 | 0.3964028 |
| 276 | CBCL_Q75_P ~~ CBCL_Q75_P | ~~ | 0.6419155 | 0.0000000 | NA | NA | 0.6419155 | 0.6419155 | 0.6419155 |
| 277 | Ext ~~ Ext | ~~ | 0.6007017 | 0.0149789 | 40.103070 | 0.0000000 | 1.0000000 | 1.0000000 | 1.0000000 |
| 278 | NDe ~~ NDe | ~~ | 0.4579977 | 0.0214404 | 21.361454 | 0.0000000 | 1.0000000 | 1.0000000 | 1.0000000 |
| 279 | Int ~~ Int | ~~ | 0.5842422 | 0.0169856 | 34.396348 | 0.0000000 | 1.0000000 | 1.0000000 | 1.0000000 |
| 280 | Som ~~ Som | ~~ | 0.4991002 | 0.0587019 | 8.502287 | 0.0000000 | 1.0000000 | 1.0000000 | 1.0000000 |
| 281 | Det ~~ Det | ~~ | 0.5841703 | 0.0388809 | 15.024604 | 0.0000000 | 1.0000000 | 1.0000000 | 1.0000000 |
| 282 | Ext ~~ NDe | ~~ | 0.3909779 | 0.0126347 | 30.944657 | 0.0000000 | 0.7454031 | 0.7454031 | 0.7454031 |
| 283 | Ext ~~ Int | ~~ | 0.3693061 | 0.0114407 | 32.279978 | 0.0000000 | 0.6233911 | 0.6233911 | 0.6233911 |
| 284 | Ext ~~ Som | ~~ | 0.2442491 | 0.0184253 | 13.256209 | 0.0000000 | 0.4460769 | 0.4460769 | 0.4460769 |
| 285 | Ext ~~ Det | ~~ | 0.3498481 | 0.0172145 | 20.322918 | 0.0000000 | 0.5905822 | 0.5905822 | 0.5905822 |
| 286 | NDe ~~ Int | ~~ | 0.3392469 | 0.0124807 | 27.181807 | 0.0000000 | 0.6558247 | 0.6558247 | 0.6558247 |
| 287 | NDe ~~ Som | ~~ | 0.2249496 | 0.0173957 | 12.931346 | 0.0000000 | 0.4705001 | 0.4705001 | 0.4705001 |
| 288 | NDe ~~ Det | ~~ | 0.3310043 | 0.0173513 | 19.076614 | 0.0000000 | 0.6399296 | 0.6399296 | 0.6399296 |
| 289 | Int ~~ Som | ~~ | 0.3055432 | 0.0213894 | 14.284802 | 0.0000000 | 0.5658253 | 0.5658253 | 0.5658253 |
| 290 | Int ~~ Det | ~~ | 0.4158912 | 0.0185834 | 22.379678 | 0.0000000 | 0.7118911 | 0.7118911 | 0.7118911 |
| 291 | Som ~~ Det | ~~ | 0.2601954 | 0.0230088 | 11.308526 | 0.0000000 | 0.4818767 | 0.4818767 | 0.4818767 |
| 292 | CBCL_Q03_P ~*~ CBCL_Q03_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 293 | CBCL_Q07_P ~*~ CBCL_Q07_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 294 | CBCL_Q109_P ~*~ CBCL_Q109_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 295 | CBCL_Q15_P ~*~ CBCL_Q15_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 296 | CBCL_Q16_P ~*~ CBCL_Q16_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 297 | CBCL_Q19_P ~*~ CBCL_Q19_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 298 | CBCL_Q26_P ~*~ CBCL_Q26_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 299 | CBCL_Q27_P ~*~ CBCL_Q27_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 300 | CBCL_Q34_P ~*~ CBCL_Q34_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 301 | CBCL_Q37_P ~*~ CBCL_Q37_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 302 | CBCL_Q39_P ~*~ CBCL_Q39_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 303 | CBCL_Q43_P ~*~ CBCL_Q43_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 304 | CBCL_Q67_P ~*~ CBCL_Q67_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 305 | CBCL_Q68_P ~*~ CBCL_Q68_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 306 | CBCL_Q72_P ~*~ CBCL_Q72_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 307 | CBCL_Q74_P ~*~ CBCL_Q74_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 308 | CBCL_Q86_P ~*~ CBCL_Q86_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 309 | CBCL_Q87_P ~*~ CBCL_Q87_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 310 | CBCL_Q88_P ~*~ CBCL_Q88_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 311 | CBCL_Q89_P ~*~ CBCL_Q89_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 312 | CBCL_Q90_P ~*~ CBCL_Q90_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 313 | CBCL_Q94_P ~*~ CBCL_Q94_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 314 | CBCL_Q95_P ~*~ CBCL_Q95_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 315 | CBCL_Q96_P ~*~ CBCL_Q96_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 316 | Com1_Attack ~*~ Com1_Attack | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 317 | Com2_Destroy ~*~ Com2_Destroy | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 318 | Com3_Disobeys ~*~ Com3_Disobeys | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 319 | Com4_Steals ~*~ Com4_Steals | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 320 | Com5_Peer ~*~ Com5_Peer | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 321 | CBCL_Q01_P ~*~ CBCL_Q01_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 322 | CBCL_Q04_P ~*~ CBCL_Q04_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 323 | CBCL_Q09_P ~*~ CBCL_Q09_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 324 | CBCL_Q13_P ~*~ CBCL_Q13_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 325 | CBCL_Q17_P ~*~ CBCL_Q17_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 326 | CBCL_Q36_P ~*~ CBCL_Q36_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 327 | CBCL_Q46_P ~*~ CBCL_Q46_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 328 | CBCL_Q61_P ~*~ CBCL_Q61_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 329 | CBCL_Q62_P ~*~ CBCL_Q62_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 330 | CBCL_Q64_P ~*~ CBCL_Q64_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 331 | CBCL_Q66_P ~*~ CBCL_Q66_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 332 | CBCL_Q80_P ~*~ CBCL_Q80_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 333 | CBCL_Q85_P ~*~ CBCL_Q85_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 334 | CBCL_Q93_P ~*~ CBCL_Q93_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 335 | Com6_Distracted ~*~ Com6_Distracted | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 336 | CBCL_Q112_P ~*~ CBCL_Q112_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 337 | CBCL_Q12_P ~*~ CBCL_Q12_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 338 | CBCL_Q29_P ~*~ CBCL_Q29_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 339 | CBCL_Q30_P ~*~ CBCL_Q30_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 340 | CBCL_Q31_P ~*~ CBCL_Q31_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 341 | CBCL_Q32_P ~*~ CBCL_Q32_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 342 | CBCL_Q35_P ~*~ CBCL_Q35_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 343 | CBCL_Q45_P ~*~ CBCL_Q45_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 344 | CBCL_Q50_P ~*~ CBCL_Q50_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 345 | CBCL_Q52_P ~*~ CBCL_Q52_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 346 | CBCL_Q71_P ~*~ CBCL_Q71_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 347 | CBCL_Q51_P ~*~ CBCL_Q51_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 348 | CBCL_Q56A_P ~*~ CBCL_Q56A_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 349 | CBCL_Q56B_P ~*~ CBCL_Q56B_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 350 | CBCL_Q56C_P ~*~ CBCL_Q56C_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 351 | CBCL_Q56D_P ~*~ CBCL_Q56D_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 352 | CBCL_Q56E_P ~*~ CBCL_Q56E_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 353 | CBCL_Q56F_P ~*~ CBCL_Q56F_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 354 | CBCL_Q56G_P ~*~ CBCL_Q56G_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 355 | CBCL_Q56H_P ~*~ CBCL_Q56H_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 356 | CBCL_Q102_P ~*~ CBCL_Q102_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 357 | CBCL_Q111_P ~*~ CBCL_Q111_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 358 | CBCL_Q42_P ~*~ CBCL_Q42_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 359 | CBCL_Q65_P ~*~ CBCL_Q65_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 360 | CBCL_Q75_P ~*~ CBCL_Q75_P | ~*~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 361 | CBCL_Q03_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 362 | CBCL_Q07_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 363 | CBCL_Q109_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 364 | CBCL_Q15_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 365 | CBCL_Q16_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 366 | CBCL_Q19_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 367 | CBCL_Q26_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 368 | CBCL_Q27_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 369 | CBCL_Q34_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 370 | CBCL_Q37_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 371 | CBCL_Q39_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 372 | CBCL_Q43_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 373 | CBCL_Q67_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 374 | CBCL_Q68_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 375 | CBCL_Q72_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 376 | CBCL_Q74_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 377 | CBCL_Q86_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 378 | CBCL_Q87_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 379 | CBCL_Q88_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 380 | CBCL_Q89_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 381 | CBCL_Q90_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 382 | CBCL_Q94_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 383 | CBCL_Q95_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 384 | CBCL_Q96_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 385 | Com1_Attack ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 386 | Com2_Destroy ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 387 | Com3_Disobeys ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 388 | Com4_Steals ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 389 | Com5_Peer ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 390 | CBCL_Q01_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 391 | CBCL_Q04_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 392 | CBCL_Q09_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 393 | CBCL_Q13_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 394 | CBCL_Q17_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 395 | CBCL_Q36_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 396 | CBCL_Q46_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 397 | CBCL_Q61_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 398 | CBCL_Q62_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 399 | CBCL_Q64_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 400 | CBCL_Q66_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 401 | CBCL_Q80_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 402 | CBCL_Q85_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 403 | CBCL_Q93_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 404 | Com6_Distracted ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 405 | CBCL_Q112_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 406 | CBCL_Q12_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 407 | CBCL_Q29_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 408 | CBCL_Q30_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 409 | CBCL_Q31_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 410 | CBCL_Q32_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 411 | CBCL_Q35_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 412 | CBCL_Q45_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 413 | CBCL_Q50_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 414 | CBCL_Q52_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 415 | CBCL_Q71_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 416 | CBCL_Q51_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 417 | CBCL_Q56A_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 418 | CBCL_Q56B_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 419 | CBCL_Q56C_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 420 | CBCL_Q56D_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 421 | CBCL_Q56E_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 422 | CBCL_Q56F_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 423 | CBCL_Q56G_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 424 | CBCL_Q56H_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 425 | CBCL_Q102_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 426 | CBCL_Q111_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 427 | CBCL_Q42_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 428 | CBCL_Q65_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 429 | CBCL_Q75_P ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 430 | Ext ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 431 | NDe ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 432 | Int ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 433 | Som ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
| 434 | Det ~1 | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | 0.0000000 |
2.2.1 Reliability of first-order model
semTools::reliability(CBCL.1stOrderModelFit)## For constructs with categorical indicators, the alpha and the average variance extracted are calculated from polychoric (polyserial) correlations, not from Pearson correlations.## Ext NDe Int Som Det
## alpha 0.9627910 0.9243283 0.9110298 0.8284481 0.8336651
## omega 0.9088292 0.8505888 0.8295037 0.6928616 0.6440351
## omega2 0.9088292 0.8505888 0.8295037 0.6928616 0.6440351
## omega3 0.9267017 0.8752350 0.8399224 0.7196442 0.6548261
## avevar 0.4877578 0.4701367 0.5076369 0.4093302 0.53924172.2.2 Plot first-order model
Ext <- c(3, 7, 109, 15, 16, 19, 26, 27, 34, 37, 39, 43, 67, 68, 72, 74, 86, 87, 88, 89, 90, 94, 95, 96, "C1", "C2", "C3", "C4", "C5")
Int <- c(2, 12, 29, 30, 31, 32, 35, 45, 50, 52, 71)
NDe <- c(1, 4, 9, 13, 17, 36, 46, 61, 62, 64, 66, 80, 85, 93, "C6")
Som <- c(51, 56, "56B", "56C", "56D", "56E", "56F", "56G", "56H")
Det <- c(102, 111, 42, 65, 75)
FirstOrder <- c("Ext", "Neuro\nDev", "Int", "Somatic", "Detach")
Plabels<-c(Ext,NDe,Int,Som,Det,FirstOrder)
semPlot::semPaths(object=CBCL.1stOrderModelFit, intercepts = F, residuals = F,
whatLabels="no", what = "std", layout="tree", node.width = 1.2,
edge.label.cex = 1, nodeLabels=Plabels, edge.color="black")
2.3 BIS/BAS
BAS_BIS.2ndOrderModelCovaried <-'
RR =~ BISBAS8_Y + BISBAS10_Y + BISBAS11_Y + BISBAS12_Y
Drive =~ BISBAS13_Y + BISBAS14_Y + BISBAS15_Y + BISBAS16_Y
Fun =~ BISBAS17_Y + BISBAS18_Y + BISBAS19_Y + BISBAS20_Y
BIS =~ BISBAS2_Y + BISBAS3_Y + BISBAS4_Y + BISBAS6_Y
BAS =~ NA*RR + Drive + Fun #estimate the loading of RR -> as opposed to using it as a marker
BAS ~~ 1*BAS #need to constrain variance to 1
#BAS ~~ 0*BIS #not othogonize them
'
BAS_BIS.2ndOrderFitCovaried <- lavaan::cfa(model = BAS_BIS.2ndOrderModelCovaried , data = MostPrsCBCLBISBAS.ScoreScaled, estimator="MLR")
lavaan::summary(BAS_BIS.2ndOrderFitCovaried, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 37 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 36
##
## Used Total
## Number of observations 4800 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 1225.578 1059.916
## Degrees of freedom 100 100
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.156
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 19101.338 16114.736
## Degrees of freedom 120 120
## P-value 0.000 0.000
## Scaling correction factor 1.185
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.941 0.940
## Tucker-Lewis Index (TLI) 0.929 0.928
##
## Robust Comparative Fit Index (CFI) 0.941
## Robust Tucker-Lewis Index (TLI) 0.930
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -100028.599 -100028.599
## Scaling correction factor 1.086
## for the MLR correction
## Loglikelihood unrestricted model (H1) -99415.810 -99415.810
## Scaling correction factor 1.138
## for the MLR correction
##
## Akaike (AIC) 200129.198 200129.198
## Bayesian (BIC) 200362.347 200362.347
## Sample-size adjusted Bayesian (BIC) 200247.952 200247.952
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.048 0.045
## 90 Percent confidence interval - lower 0.046 0.042
## 90 Percent confidence interval - upper 0.051 0.047
## P-value RMSEA <= 0.05 0.854 1.000
##
## Robust RMSEA 0.048
## 90 Percent confidence interval - lower 0.045
## 90 Percent confidence interval - upper 0.051
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.035 0.035
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## RR =~
## BISBAS8_Y 1.000
## BISBAS10_Y 1.001 0.027 37.379 0.000
## BISBAS11_Y 0.838 0.030 28.212 0.000
## BISBAS12_Y 1.108 0.028 38.963 0.000
## Drive =~
## BISBAS13_Y 1.000
## BISBAS14_Y 1.077 0.022 48.052 0.000
## BISBAS15_Y 1.012 0.026 38.862 0.000
## BISBAS16_Y 0.804 0.029 27.954 0.000
## Fun =~
## BISBAS17_Y 1.000
## BISBAS18_Y 1.169 0.043 27.170 0.000
## BISBAS19_Y 0.979 0.040 24.183 0.000
## BISBAS20_Y 0.971 0.034 28.762 0.000
## BIS =~
## BISBAS2_Y 1.000
## BISBAS3_Y 1.098 0.063 17.491 0.000
## BISBAS4_Y 1.148 0.064 17.986 0.000
## BISBAS6_Y 1.030 0.034 30.297 0.000
## BAS =~
## RR 0.562 0.015 36.922 0.000
## Drive 0.523 0.015 34.732 0.000
## Fun 0.445 0.017 26.341 0.000
## Std.lv Std.all
##
## 0.646 0.646
## 0.647 0.647
## 0.541 0.541
## 0.716 0.716
##
## 0.710 0.710
## 0.765 0.765
## 0.719 0.719
## 0.571 0.571
##
## 0.573 0.573
## 0.669 0.669
## 0.561 0.561
## 0.556 0.556
##
## 0.548 0.549
## 0.602 0.602
## 0.630 0.630
## 0.565 0.565
##
## 0.870 0.870
## 0.736 0.736
## 0.778 0.778
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## BIS ~~
## BAS 0.239 0.015 16.105 0.000
## Std.lv Std.all
##
## 0.436 0.436
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## BAS 1.000
## .BISBAS8_Y 0.583 0.017 34.399 0.000
## .BISBAS10_Y 0.581 0.018 33.065 0.000
## .BISBAS11_Y 0.707 0.021 34.082 0.000
## .BISBAS12_Y 0.487 0.016 30.492 0.000
## .BISBAS13_Y 0.495 0.016 31.660 0.000
## .BISBAS14_Y 0.415 0.015 27.580 0.000
## .BISBAS15_Y 0.483 0.015 32.851 0.000
## .BISBAS16_Y 0.674 0.021 32.185 0.000
## .BISBAS17_Y 0.672 0.017 39.938 0.000
## .BISBAS18_Y 0.552 0.018 30.920 0.000
## .BISBAS19_Y 0.685 0.018 38.559 0.000
## .BISBAS20_Y 0.691 0.018 38.700 0.000
## .BISBAS2_Y 0.699 0.022 32.035 0.000
## .BISBAS3_Y 0.637 0.021 30.415 0.000
## .BISBAS4_Y 0.603 0.022 27.774 0.000
## .BISBAS6_Y 0.681 0.022 31.362 0.000
## .RR 0.101 0.012 8.634 0.000
## .Drive 0.231 0.014 16.489 0.000
## .Fun 0.130 0.010 12.469 0.000
## BIS 0.301 0.022 13.619 0.000
## Std.lv Std.all
## 1.000 1.000
## 0.583 0.583
## 0.581 0.582
## 0.707 0.707
## 0.487 0.487
## 0.495 0.495
## 0.415 0.415
## 0.483 0.483
## 0.674 0.674
## 0.672 0.672
## 0.552 0.552
## 0.685 0.686
## 0.691 0.691
## 0.699 0.699
## 0.637 0.637
## 0.603 0.603
## 0.681 0.681
## 0.243 0.243
## 0.458 0.458
## 0.395 0.395
## 1.000 1.000
##
## R-Square:
## Estimate
## BISBAS8_Y 0.417
## BISBAS10_Y 0.418
## BISBAS11_Y 0.293
## BISBAS12_Y 0.513
## BISBAS13_Y 0.505
## BISBAS14_Y 0.585
## BISBAS15_Y 0.517
## BISBAS16_Y 0.326
## BISBAS17_Y 0.328
## BISBAS18_Y 0.448
## BISBAS19_Y 0.314
## BISBAS20_Y 0.309
## BISBAS2_Y 0.301
## BISBAS3_Y 0.363
## BISBAS4_Y 0.397
## BISBAS6_Y 0.319
## RR 0.757
## Drive 0.542
## Fun 0.605knitr::kable(broom::tidy(BAS_BIS.2ndOrderFitCovaried), format = "html", row.names = TRUE) %>%
kableExtra::kable_styling(bootstrap_options = c("striped"),
full_width = T,
font_size = 15) %>%
kableExtra::scroll_box(height = "300px")| term | op | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | RR =~ BISBAS8_Y | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.6458696 | 0.6459369 | 0.6459369 |
| 2 | RR =~ BISBAS10_Y | =~ | 1.0014326 | 0.0267913 | 37.379019 | 0 | 0.6467949 | 0.6468622 | 0.6468622 |
| 3 | RR =~ BISBAS11_Y | =~ | 0.8377565 | 0.0296953 | 28.211752 | 0 | 0.5410815 | 0.5411378 | 0.5411378 |
| 4 | RR =~ BISBAS12_Y | =~ | 1.1083518 | 0.0284459 | 38.963441 | 0 | 0.7158508 | 0.7159254 | 0.7159254 |
| 5 | Drive =~ BISBAS13_Y | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.7102133 | 0.7102871 | 0.7102871 |
| 6 | Drive =~ BISBAS14_Y | =~ | 1.0770854 | 0.0224149 | 48.052281 | 0 | 0.7649604 | 0.7650401 | 0.7650401 |
| 7 | Drive =~ BISBAS15_Y | =~ | 1.0120225 | 0.0260416 | 38.861777 | 0 | 0.7187519 | 0.7188268 | 0.7188268 |
| 8 | Drive =~ BISBAS16_Y | =~ | 0.8036089 | 0.0287480 | 27.953523 | 0 | 0.5707338 | 0.5707933 | 0.5707933 |
| 9 | Fun =~ BISBAS17_Y | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.5726701 | 0.5727297 | 0.5727297 |
| 10 | Fun =~ BISBAS18_Y | =~ | 1.1685844 | 0.0430104 | 27.169831 | 0 | 0.6692133 | 0.6692831 | 0.6692831 |
| 11 | Fun =~ BISBAS19_Y | =~ | 0.9791432 | 0.0404894 | 24.182692 | 0 | 0.5607260 | 0.5607845 | 0.5607845 |
| 12 | Fun =~ BISBAS20_Y | =~ | 0.9709822 | 0.0337587 | 28.762437 | 0 | 0.5560524 | 0.5561101 | 0.5561101 |
| 13 | BIS =~ BISBAS2_Y | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.5484935 | 0.5485506 | 0.5485506 |
| 14 | BIS =~ BISBAS3_Y | =~ | 1.0980852 | 0.0627791 | 17.491252 | 0 | 0.6022926 | 0.6023556 | 0.6023556 |
| 15 | BIS =~ BISBAS4_Y | =~ | 1.1484448 | 0.0638525 | 17.985913 | 0 | 0.6299146 | 0.6299804 | 0.6299804 |
| 16 | BIS =~ BISBAS6_Y | =~ | 1.0295402 | 0.0339816 | 30.296987 | 0 | 0.5646962 | 0.5647551 | 0.5647551 |
| 17 | BAS =~ RR | =~ | 0.5618709 | 0.0152180 | 36.921568 | 0 | 0.8699448 | 0.8699448 | 0.8699448 |
| 18 | BAS =~ Drive | =~ | 0.5230702 | 0.0150603 | 34.731653 | 0 | 0.7364973 | 0.7364973 | 0.7364973 |
| 19 | BAS =~ Fun | =~ | 0.4453881 | 0.0169088 | 26.340646 | 0 | 0.7777394 | 0.7777394 | 0.7777394 |
| 20 | BAS ~~ BAS | ~~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 21 | BISBAS8_Y ~~ BISBAS8_Y | ~~ | 0.5826440 | 0.0169380 | 34.398593 | 0 | 0.5826440 | 0.5827655 | 0.5827655 |
| 22 | BISBAS10_Y ~~ BISBAS10_Y | ~~ | 0.5814482 | 0.0175851 | 33.064872 | 0 | 0.5814482 | 0.5815693 | 0.5815693 |
| 23 | BISBAS11_Y ~~ BISBAS11_Y | ~~ | 0.7070226 | 0.0207450 | 34.081522 | 0 | 0.7070226 | 0.7071698 | 0.7071698 |
| 24 | BISBAS12_Y ~~ BISBAS12_Y | ~~ | 0.4873492 | 0.0159829 | 30.491939 | 0 | 0.4873492 | 0.4874508 | 0.4874508 |
| 25 | BISBAS13_Y ~~ BISBAS13_Y | ~~ | 0.4953893 | 0.0156472 | 31.659979 | 0 | 0.4953893 | 0.4954922 | 0.4954922 |
| 26 | BISBAS14_Y ~~ BISBAS14_Y | ~~ | 0.4146273 | 0.0150339 | 27.579524 | 0 | 0.4146273 | 0.4147136 | 0.4147136 |
| 27 | BISBAS15_Y ~~ BISBAS15_Y | ~~ | 0.4831873 | 0.0147085 | 32.850849 | 0 | 0.4831873 | 0.4832880 | 0.4832880 |
| 28 | BISBAS16_Y ~~ BISBAS16_Y | ~~ | 0.6740545 | 0.0209431 | 32.185026 | 0 | 0.6740545 | 0.6741951 | 0.6741951 |
| 29 | BISBAS17_Y ~~ BISBAS17_Y | ~~ | 0.6718407 | 0.0168222 | 39.937766 | 0 | 0.6718407 | 0.6719807 | 0.6719807 |
| 30 | BISBAS18_Y ~~ BISBAS18_Y | ~~ | 0.5519450 | 0.0178508 | 30.919971 | 0 | 0.5519450 | 0.5520601 | 0.5520601 |
| 31 | BISBAS19_Y ~~ BISBAS19_Y | ~~ | 0.6853776 | 0.0177748 | 38.558876 | 0 | 0.6853776 | 0.6855207 | 0.6855207 |
| 32 | BISBAS20_Y ~~ BISBAS20_Y | ~~ | 0.6905983 | 0.0178447 | 38.700484 | 0 | 0.6905983 | 0.6907415 | 0.6907415 |
| 33 | BISBAS2_Y ~~ BISBAS2_Y | ~~ | 0.6989469 | 0.0218180 | 32.035271 | 0 | 0.6989469 | 0.6990923 | 0.6990923 |
| 34 | BISBAS3_Y ~~ BISBAS3_Y | ~~ | 0.6370345 | 0.0209445 | 30.415330 | 0 | 0.6370345 | 0.6371677 | 0.6371677 |
| 35 | BISBAS4_Y ~~ BISBAS4_Y | ~~ | 0.6029988 | 0.0217111 | 27.773751 | 0 | 0.6029988 | 0.6031247 | 0.6031247 |
| 36 | BISBAS6_Y ~~ BISBAS6_Y | ~~ | 0.6809096 | 0.0217110 | 31.362384 | 0 | 0.6809096 | 0.6810517 | 0.6810517 |
| 37 | RR ~~ RR | ~~ | 0.1014486 | 0.0117501 | 8.633887 | 0 | 0.2431961 | 0.2431961 | 0.2431961 |
| 38 | Drive ~~ Drive | ~~ | 0.2308005 | 0.0139976 | 16.488598 | 0 | 0.4575717 | 0.4575717 | 0.4575717 |
| 39 | Fun ~~ Fun | ~~ | 0.1295805 | 0.0103920 | 12.469213 | 0 | 0.3951214 | 0.3951214 | 0.3951214 |
| 40 | BIS ~~ BIS | ~~ | 0.3008452 | 0.0220897 | 13.619269 | 0 | 1.0000000 | 1.0000000 | 1.0000000 |
| 41 | BIS ~~ BAS | ~~ | 0.2388961 | 0.0148336 | 16.105082 | 0 | 0.4355496 | 0.4355496 | 0.4355496 |
2.3.1 Reliability of BIS/BAS model
semTools::reliability(BAS_BIS.2ndOrderFitCovaried)## Higher-order factors were ignored.## RR Drive Fun
## alpha 0.7321171 0.7837280 0.6796449
## omega 0.7337749 0.7871132 0.6815207
## omega2 0.7337749 0.7871132 0.6815207
## omega3 0.7329350 0.7878181 0.6820150
## avevar 0.4102611 0.4830778 0.3499242semTools::reliabilityL2(BAS_BIS.2ndOrderFitCovaried,"BAS")## omegaL1 omegaL2 partialOmegaL1
## 0.7216060 0.8352807 0.84067932.3.2 Plot BIS/BAS model
RR <- c(8, 10, 11, 12)
Drive <- c(13, 14, 15, 16)
Fun <- c(17, 18, 19, 20)
BIS <- c(2, 3, 4, 6)
FirstSecondOrderBASBIS <- c("Rew\nRes", "Drive", "Fun","BIS","BAS")
BISBASlabels<-c(RR, Drive, Fun,BIS,FirstSecondOrderBASBIS)
semPlot::semPaths(object=BAS_BIS.2ndOrderFitCovaried , intercepts = F, residuals = F,
whatLabels="no", what = "std", layout="tree", node.width = 1.2,style="lisrel",
edge.label.cex = 1, rotation = 2,
nodeLabels=BISBASlabels,
optimizeLatRes = TRUE,
edge.color = "black")
2.4 G-factor
NeuroCog2ndOrder <-'
EF =~ NIHTBX_FLANKER_UNCORRECTED + NIHTBX_CARDSORT_UNCORRECTED + NIHTBX_PATTERN_UNCORRECTED
verbal =~ NIHTBX_PICVOCAB_UNCORRECTED + NIHTBX_READING_UNCORRECTED
memory =~ NIHTBX_PICTURE_UNCORRECTED + PEA_RAVLT_LD_TRIAL_VII_TC + NIHTBX_LIST_UNCORRECTED
spatial =~ LMT_SCR_PERC_CORRECT + PEA_WISCV_TRS
g =~ NA*EF + verbal + memory + spatial #estimate the loading of EF -> as opposed to using it as a marker
g ~~ 1*g #need to constrain variance to 1'
NeuroCog2ndOrder.Fit <- lavaan::cfa(model = NeuroCog2ndOrder, data = MostPrsCBCLBISBAS.ScoreScaled,estimator="MLR")
lavaan::summary(NeuroCog2ndOrder.Fit, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 35 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 24
##
## Used Total
## Number of observations 4479 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 321.712 312.627
## Degrees of freedom 31 31
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.029
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 8302.155 7710.519
## Degrees of freedom 45 45
## P-value 0.000 0.000
## Scaling correction factor 1.077
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.965 0.963
## Tucker-Lewis Index (TLI) 0.949 0.947
##
## Robust Comparative Fit Index (CFI) 0.965
## Robust Tucker-Lewis Index (TLI) 0.949
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -59533.522 -59533.522
## Scaling correction factor 1.252
## for the MLR correction
## Loglikelihood unrestricted model (H1) -59372.666 -59372.666
## Scaling correction factor 1.126
## for the MLR correction
##
## Akaike (AIC) 119115.045 119115.045
## Bayesian (BIC) 119268.816 119268.816
## Sample-size adjusted Bayesian (BIC) 119192.554 119192.554
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.046 0.045
## 90 Percent confidence interval - lower 0.041 0.041
## 90 Percent confidence interval - upper 0.050 0.050
## P-value RMSEA <= 0.05 0.935 0.964
##
## Robust RMSEA 0.046
## 90 Percent confidence interval - lower 0.041
## 90 Percent confidence interval - upper 0.050
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.029 0.029
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.207 0.048 25.363 0.000
## NIHTBX_PATTERN 1.001 0.043 23.558 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.057 0.038 27.657 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.053 0.038 27.661 0.000
## NIHTBX_LIST_UN 1.151 0.055 20.856 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.175 0.051 23.070 0.000
## g =~
## EF 0.359 0.017 21.079 0.000
## verbal 0.523 0.018 29.738 0.000
## memory 0.457 0.015 29.508 0.000
## spatial 0.481 0.017 28.806 0.000
## Std.lv Std.all
##
## 0.596 0.599
## 0.719 0.723
## 0.597 0.598
##
## 0.688 0.686
## 0.727 0.727
##
## 0.537 0.537
## 0.565 0.564
## 0.618 0.616
##
## 0.492 0.493
## 0.578 0.577
##
## 0.603 0.603
## 0.761 0.761
## 0.852 0.852
## 0.978 0.978
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## g 1.000
## .NIHTBX_FLANKER 0.634 0.021 29.969 0.000
## .NIHTBX_CARDSOR 0.473 0.023 20.475 0.000
## .NIHTBX_PATTERN 0.639 0.021 31.132 0.000
## .NIHTBX_PICVOCA 0.533 0.022 24.257 0.000
## .NIHTBX_READING 0.472 0.023 20.651 0.000
## .NIHTBX_PICTURE 0.711 0.019 37.180 0.000
## .PEA_RAVLT_LD_T 0.683 0.021 32.673 0.000
## .NIHTBX_LIST_UN 0.623 0.022 28.114 0.000
## .LMT_SCR_PERC_C 0.754 0.020 37.224 0.000
## .PEA_WISCV_TRS 0.669 0.023 29.612 0.000
## .EF 0.226 0.015 14.696 0.000
## .verbal 0.199 0.016 12.554 0.000
## .memory 0.079 0.012 6.721 0.000
## .spatial 0.011 0.012 0.918 0.359
## Std.lv Std.all
## 1.000 1.000
## 0.634 0.641
## 0.473 0.478
## 0.639 0.642
## 0.533 0.530
## 0.472 0.472
## 0.711 0.711
## 0.683 0.681
## 0.623 0.620
## 0.754 0.757
## 0.669 0.667
## 0.637 0.637
## 0.421 0.421
## 0.274 0.274
## 0.044 0.044
##
## R-Square:
## Estimate
## NIHTBX_FLANKER 0.359
## NIHTBX_CARDSOR 0.522
## NIHTBX_PATTERN 0.358
## NIHTBX_PICVOCA 0.470
## NIHTBX_READING 0.528
## NIHTBX_PICTURE 0.289
## PEA_RAVLT_LD_T 0.319
## NIHTBX_LIST_UN 0.380
## LMT_SCR_PERC_C 0.243
## PEA_WISCV_TRS 0.333
## EF 0.363
## verbal 0.579
## memory 0.726
## spatial 0.956knitr::kable(broom::tidy(NeuroCog2ndOrder.Fit), format = "html", row.names = TRUE) %>%
kableExtra::kable_styling(bootstrap_options = c("striped"),
full_width = T,
font_size = 15) %>%
kableExtra::scroll_box(height = "300px")| term | op | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | EF =~ NIHTBX_FLANKER_UNCORRECTED | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.5960501 | 0.5993801 | 0.5993801 |
| 2 | EF =~ NIHTBX_CARDSORT_UNCORRECTED | =~ | 1.2067718 | 0.0475797 | 25.3631911 | 0.0000000 | 0.7192965 | 0.7227186 | 0.7227186 |
| 3 | EF =~ NIHTBX_PATTERN_UNCORRECTED | =~ | 1.0014991 | 0.0425119 | 23.5580827 | 0.0000000 | 0.5969437 | 0.5983594 | 0.5983594 |
| 4 | verbal =~ NIHTBX_PICVOCAB_UNCORRECTED | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.6879585 | 0.6858922 | 0.6858922 |
| 5 | verbal =~ NIHTBX_READING_UNCORRECTED | =~ | 1.0566520 | 0.0382050 | 27.6574567 | 0.0000000 | 0.7269327 | 0.7268716 | 0.7268716 |
| 6 | memory =~ NIHTBX_PICTURE_UNCORRECTED | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.5369049 | 0.5372099 | 0.5372099 |
| 7 | memory =~ PEA_RAVLT_LD_TRIAL_VII_TC | =~ | 1.0526035 | 0.0380532 | 27.6613937 | 0.0000000 | 0.5651480 | 0.5643911 | 0.5643911 |
| 8 | memory =~ NIHTBX_LIST_UNCORRECTED | =~ | 1.1506891 | 0.0551726 | 20.8561801 | 0.0000000 | 0.6178107 | 0.6164554 | 0.6164554 |
| 9 | spatial =~ LMT_SCR_PERC_CORRECT | =~ | 1.0000000 | 0.0000000 | NA | NA | 0.4920596 | 0.4930228 | 0.4930228 |
| 10 | spatial =~ PEA_WISCV_TRS | =~ | 1.1752133 | 0.0509408 | 23.0701593 | 0.0000000 | 0.5782750 | 0.5772532 | 0.5772532 |
| 11 | g =~ EF | =~ | 0.3593490 | 0.0170474 | 21.0794590 | 0.0000000 | 0.6028838 | 0.6028838 | 0.6028838 |
| 12 | g =~ verbal | =~ | 0.5233455 | 0.0175987 | 29.7378074 | 0.0000000 | 0.7607224 | 0.7607224 | 0.7607224 |
| 13 | g =~ memory | =~ | 0.4573383 | 0.0154990 | 29.5076158 | 0.0000000 | 0.8518050 | 0.8518050 | 0.8518050 |
| 14 | g =~ spatial | =~ | 0.4810318 | 0.0166992 | 28.8056971 | 0.0000000 | 0.9775885 | 0.9775885 | 0.9775885 |
| 15 | g ~~ g | ~~ | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 | 1.0000000 |
| 16 | NIHTBX_FLANKER_UNCORRECTED ~~ NIHTBX_FLANKER_UNCORRECTED | ~~ | 0.6336439 | 0.0211431 | 29.9692681 | 0.0000000 | 0.6336439 | 0.6407435 | 0.6407435 |
| 17 | NIHTBX_CARDSORT_UNCORRECTED ~~ NIHTBX_CARDSORT_UNCORRECTED | ~~ | 0.4731648 | 0.0231098 | 20.4746764 | 0.0000000 | 0.4731648 | 0.4776778 | 0.4776778 |
| 18 | NIHTBX_PATTERN_UNCORRECTED ~~ NIHTBX_PATTERN_UNCORRECTED | ~~ | 0.6389319 | 0.0205234 | 31.1318364 | 0.0000000 | 0.6389319 | 0.6419661 | 0.6419661 |
| 19 | NIHTBX_PICVOCAB_UNCORRECTED ~~ NIHTBX_PICVOCAB_UNCORRECTED | ~~ | 0.5327475 | 0.0219627 | 24.2569512 | 0.0000000 | 0.5327475 | 0.5295520 | 0.5295520 |
| 20 | NIHTBX_READING_UNCORRECTED ~~ NIHTBX_READING_UNCORRECTED | ~~ | 0.4717369 | 0.0228437 | 20.6505955 | 0.0000000 | 0.4717369 | 0.4716576 | 0.4716576 |
| 21 | NIHTBX_PICTURE_UNCORRECTED ~~ NIHTBX_PICTURE_UNCORRECTED | ~~ | 0.7105979 | 0.0191126 | 37.1795354 | 0.0000000 | 0.7105979 | 0.7114055 | 0.7114055 |
| 22 | PEA_RAVLT_LD_TRIAL_VII_TC ~~ PEA_RAVLT_LD_TRIAL_VII_TC | ~~ | 0.6832917 | 0.0209128 | 32.6733032 | 0.0000000 | 0.6832917 | 0.6814627 | 0.6814627 |
| 23 | NIHTBX_LIST_UNCORRECTED ~~ NIHTBX_LIST_UNCORRECTED | ~~ | 0.6227116 | 0.0221496 | 28.1139622 | 0.0000000 | 0.6227116 | 0.6199827 | 0.6199827 |
| 24 | LMT_SCR_PERC_CORRECT ~~ LMT_SCR_PERC_CORRECT | ~~ | 0.7539738 | 0.0202552 | 37.2236366 | 0.0000000 | 0.7539738 | 0.7569285 | 0.7569285 |
| 25 | PEA_WISCV_TRS ~~ PEA_WISCV_TRS | ~~ | 0.6691414 | 0.0225973 | 29.6115616 | 0.0000000 | 0.6691414 | 0.6667788 | 0.6667788 |
| 26 | EF ~~ EF | ~~ | 0.2261441 | 0.0153884 | 14.6957273 | 0.0000000 | 0.6365311 | 0.6365311 | 0.6365311 |
| 27 | verbal ~~ verbal | ~~ | 0.1993964 | 0.0158834 | 12.5537829 | 0.0000000 | 0.4213014 | 0.4213014 | 0.4213014 |
| 28 | memory ~~ memory | ~~ | 0.0791086 | 0.0117701 | 6.7211317 | 0.0000000 | 0.2744282 | 0.2744282 | 0.2744282 |
| 29 | spatial ~~ spatial | ~~ | 0.0107310 | 0.0116926 | 0.9177674 | 0.3587406 | 0.0443207 | 0.0443207 | 0.0443207 |
2.4.1 Reliability of G-Factor
semTools::reliabilityL2(NeuroCog2ndOrder.Fit,"g")## omegaL1 omegaL2 partialOmegaL1
## 0.6873193 0.8654942 0.78404332.4.2 Plot G-Factor
EF <- c("Flan\nker", "Car\nSort", "Pat\ntern")
Verbal <- c("Vo\ncab", "Read")
Memory <- c("Pic", "Rey", "List")
Spatial <- c("Little\nMan", "Mat\nrix")
FirstSecondOrderG <- c("EF", "Verbal", "Memory", "Spatial", "G")
Glabels<-c(EF, Verbal, Memory, Spatial,FirstSecondOrderG)
semPlot::semPaths(object=NeuroCog2ndOrder.Fit, intercepts = F, residuals = F,
whatLabels="no", what = "std", layout="tree", node.width = 1.2,style="lisrel",
edge.label.cex = 1, nodeLabels=Glabels, optimizeLatRes = TRUE, edge.color="black")
3 SEM for Latent Variable Mediation
3.1 Relationship between all PSs and P-Factor
This step will allow us to identify which of the PSs are associated with the P-Factor
allPrs_PFac <-'
Ext =~ CBCL_Q03_P + CBCL_Q07_P + CBCL_Q109_P + CBCL_Q15_P + CBCL_Q16_P + CBCL_Q19_P + CBCL_Q26_P + CBCL_Q27_P + CBCL_Q34_P + CBCL_Q37_P + CBCL_Q39_P + CBCL_Q43_P + CBCL_Q67_P + CBCL_Q68_P + CBCL_Q72_P + CBCL_Q74_P + CBCL_Q86_P + CBCL_Q87_P + CBCL_Q88_P + CBCL_Q89_P + CBCL_Q90_P + CBCL_Q94_P + CBCL_Q95_P + CBCL_Q96_P + Com1_Attack + Com2_Destroy + Com3_Disobeys + Com4_Steals + Com5_Peer
NDe =~ CBCL_Q01_P + CBCL_Q04_P + CBCL_Q09_P + CBCL_Q13_P + CBCL_Q17_P + CBCL_Q36_P + CBCL_Q46_P + CBCL_Q61_P + CBCL_Q62_P + CBCL_Q64_P + CBCL_Q66_P + CBCL_Q80_P + CBCL_Q85_P + CBCL_Q93_P + Com6_Distracted
Int =~ CBCL_Q112_P + CBCL_Q12_P + CBCL_Q29_P + CBCL_Q30_P + CBCL_Q31_P + CBCL_Q32_P + CBCL_Q35_P + CBCL_Q45_P + CBCL_Q50_P + CBCL_Q52_P + CBCL_Q71_P
Som =~ CBCL_Q51_P + CBCL_Q56A_P + CBCL_Q56B_P + CBCL_Q56C_P + CBCL_Q56D_P + CBCL_Q56E_P + CBCL_Q56F_P + CBCL_Q56G_P + CBCL_Q56H_P
Det =~ CBCL_Q102_P + CBCL_Q111_P + CBCL_Q42_P + CBCL_Q65_P + CBCL_Q75_P
p =~ NA*Ext + NDe + Int + Som + Det #estimate the loading of Ext -> as opposed to using it as a marker
p ~~ 1*p #need to constrain variance to 1
p ~ wrayMDDp5e_2_score + ADHDp5e_2_score + otowaAnxp5e_2_score + ruderferBIPp5e_2_score + pardinasSczp5e_2_score + groveAlsp5e_2_score
# p ~ wrayMDDp5e_2_cnt + ADHDp5e_2_cnt + otowaAnxp5e_2_cnt + ruderferBIPp5e_2_cnt + pardinasSczp5e_2_cnt + groveAlsp5e_2_cnt
p ~ pc1 + pc2 + pc3 + pc4 + SEXnum
'
allPrs_PFac.Fit <- lavaan::cfa(model = allPrs_PFac , data = MostPrsCBCLBISBAS.ScoreScaled , estimator = "MLR")
lavaan::summary(allPrs_PFac.Fit, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 303 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 154
##
## Used Total
## Number of observations 4804 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 23727.809 14836.588
## Degrees of freedom 3020 3020
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.599
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 92950.626 57731.854
## Degrees of freedom 3105 3105
## P-value 0.000 0.000
## Scaling correction factor 1.610
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.770 0.784
## Tucker-Lewis Index (TLI) 0.763 0.778
##
## Robust Comparative Fit Index (CFI) 0.785
## Robust Tucker-Lewis Index (TLI) 0.779
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -79410.716 -79410.716
## Scaling correction factor 7.154
## for the MLR correction
## Loglikelihood unrestricted model (H1) -67546.812 -67546.812
## Scaling correction factor 1.869
## for the MLR correction
##
## Akaike (AIC) 159129.432 159129.432
## Bayesian (BIC) 160126.921 160126.921
## Sample-size adjusted Bayesian (BIC) 159637.565 159637.565
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.038 0.029
## 90 Percent confidence interval - lower 0.037 0.028
## 90 Percent confidence interval - upper 0.038 0.029
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.036
## 90 Percent confidence interval - lower 0.036
## 90 Percent confidence interval - upper 0.037
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.042 0.042
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## Ext =~
## CBCL_Q03_P 1.000
## CBCL_Q07_P 0.508 0.024 21.147 0.000
## CBCL_Q109_P 0.590 0.022 26.230 0.000
## CBCL_Q15_P 0.054 0.010 5.348 0.000
## CBCL_Q16_P 0.342 0.022 15.504 0.000
## CBCL_Q19_P 0.703 0.024 29.453 0.000
## CBCL_Q26_P 0.454 0.023 19.586 0.000
## CBCL_Q27_P 0.623 0.024 25.661 0.000
## CBCL_Q34_P 0.241 0.021 11.668 0.000
## CBCL_Q37_P 0.180 0.019 9.338 0.000
## CBCL_Q39_P 0.192 0.018 10.469 0.000
## CBCL_Q43_P 0.609 0.023 26.172 0.000
## CBCL_Q67_P 0.031 0.009 3.516 0.000
## CBCL_Q68_P 0.498 0.023 21.812 0.000
## CBCL_Q72_P 0.021 0.006 3.706 0.000
## CBCL_Q74_P 0.559 0.026 21.922 0.000
## CBCL_Q86_P 0.847 0.021 40.258 0.000
## CBCL_Q87_P 0.654 0.024 27.214 0.000
## CBCL_Q88_P 0.487 0.024 20.158 0.000
## CBCL_Q89_P 0.173 0.020 8.602 0.000
## CBCL_Q90_P 0.269 0.023 11.615 0.000
## CBCL_Q94_P 0.326 0.022 14.527 0.000
## CBCL_Q95_P 0.814 0.022 37.706 0.000
## CBCL_Q96_P 0.040 0.012 3.449 0.001
## Com1_Attack 0.334 0.021 16.032 0.000
## Com2_Destroy 0.249 0.020 12.570 0.000
## Com3_Disobeys 0.681 0.019 36.121 0.000
## Com4_Steals 0.211 0.018 11.539 0.000
## Com5_Peer 0.455 0.021 21.442 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.478 0.065 22.761 0.000
## CBCL_Q09_P 1.320 0.060 21.860 0.000
## CBCL_Q13_P 0.471 0.038 12.571 0.000
## CBCL_Q17_P 1.155 0.061 19.040 0.000
## CBCL_Q36_P 0.671 0.043 15.753 0.000
## CBCL_Q46_P 0.666 0.045 14.890 0.000
## CBCL_Q61_P 0.781 0.041 18.976 0.000
## CBCL_Q62_P 0.748 0.041 18.134 0.000
## CBCL_Q64_P 0.730 0.040 18.468 0.000
## CBCL_Q66_P 0.492 0.039 12.513 0.000
## CBCL_Q80_P 0.604 0.041 14.655 0.000
## CBCL_Q85_P 0.434 0.033 13.294 0.000
## CBCL_Q93_P 1.002 0.053 18.747 0.000
## Com6_Distractd 1.725 0.070 24.696 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.395 0.025 15.518 0.000
## CBCL_Q29_P 0.532 0.025 21.246 0.000
## CBCL_Q30_P 0.212 0.021 10.349 0.000
## CBCL_Q31_P 0.355 0.023 15.478 0.000
## CBCL_Q32_P 0.662 0.028 23.997 0.000
## CBCL_Q35_P 0.542 0.026 20.647 0.000
## CBCL_Q45_P 0.755 0.025 30.689 0.000
## CBCL_Q50_P 0.894 0.021 41.846 0.000
## CBCL_Q52_P 0.368 0.024 15.629 0.000
## CBCL_Q71_P 0.849 0.027 31.570 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.812 0.298 9.432 0.000
## CBCL_Q56B_P 3.650 0.362 10.081 0.000
## CBCL_Q56C_P 4.007 0.429 9.339 0.000
## CBCL_Q56D_P 0.554 0.098 5.645 0.000
## CBCL_Q56E_P 1.494 0.199 7.525 0.000
## CBCL_Q56F_P 4.790 0.499 9.609 0.000
## CBCL_Q56G_P 1.055 0.148 7.110 0.000
## CBCL_Q56H_P 0.675 0.125 5.403 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.243 0.085 14.595 0.000
## CBCL_Q42_P 1.715 0.136 12.634 0.000
## CBCL_Q65_P 0.944 0.095 9.949 0.000
## CBCL_Q75_P 1.547 0.134 11.563 0.000
## p =~
## Ext 0.331 0.009 36.060 0.000
## NDe 0.212 0.009 22.346 0.000
## Int 0.301 0.010 30.829 0.000
## Som 0.034 0.004 8.399 0.000
## Det 0.096 0.008 11.586 0.000
## Std.lv Std.all
##
## 0.429 0.660
## 0.218 0.437
## 0.253 0.486
## 0.023 0.238
## 0.147 0.527
## 0.302 0.581
## 0.195 0.532
## 0.267 0.556
## 0.104 0.413
## 0.077 0.444
## 0.082 0.321
## 0.261 0.563
## 0.013 0.206
## 0.214 0.583
## 0.009 0.125
## 0.240 0.450
## 0.364 0.645
## 0.281 0.609
## 0.209 0.537
## 0.074 0.395
## 0.116 0.402
## 0.140 0.433
## 0.349 0.650
## 0.017 0.186
## 0.143 0.539
## 0.107 0.492
## 0.292 0.654
## 0.091 0.427
## 0.196 0.534
##
## 0.253 0.527
## 0.374 0.620
## 0.334 0.599
## 0.119 0.470
## 0.292 0.537
## 0.170 0.396
## 0.168 0.446
## 0.197 0.525
## 0.189 0.492
## 0.185 0.436
## 0.125 0.433
## 0.153 0.509
## 0.110 0.429
## 0.253 0.460
## 0.436 0.707
##
## 0.406 0.689
## 0.160 0.431
## 0.216 0.489
## 0.086 0.371
## 0.144 0.466
## 0.269 0.476
## 0.220 0.557
## 0.307 0.640
## 0.363 0.716
## 0.150 0.500
## 0.345 0.559
##
## 0.066 0.314
## 0.185 0.436
## 0.241 0.481
## 0.264 0.698
## 0.037 0.180
## 0.099 0.242
## 0.316 0.660
## 0.070 0.342
## 0.045 0.252
##
## 0.139 0.488
## 0.172 0.646
## 0.238 0.557
## 0.131 0.453
## 0.214 0.467
##
## 0.779 0.779
## 0.847 0.847
## 0.750 0.750
## 0.528 0.528
## 0.703 0.703
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## p ~
## wryMDDp5_2_scr 0.064 0.016 3.959 0.000
## ADHDp5e_2_scor 0.065 0.016 3.966 0.000
## otwAnxp5_2_scr -0.012 0.017 -0.734 0.463
## rdrfrBIPp5_2_s 0.012 0.017 0.690 0.490
## prdnsSczp5_2_s -0.001 0.017 -0.029 0.977
## grvAlsp5_2_scr 0.019 0.017 1.127 0.260
## pc1 -2.105 4.053 -0.519 0.604
## pc2 -0.284 19.852 -0.014 0.989
## pc3 1.246 0.867 1.437 0.151
## pc4 -0.467 0.316 -1.479 0.139
## SEXnum -0.218 0.033 -6.552 0.000
## Std.lv Std.all
##
## 0.064 0.064
## 0.064 0.064
## -0.012 -0.012
## 0.012 0.012
## -0.001 -0.001
## 0.018 0.018
## -2.081 -0.026
## -0.281 -0.001
## 1.232 0.013
## -0.462 -0.003
## -0.216 -0.108
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .p 1.000
## .CBCL_Q03_P 0.239 0.006 38.472 0.000
## .CBCL_Q07_P 0.201 0.005 40.016 0.000
## .CBCL_Q109_P 0.207 0.005 41.242 0.000
## .CBCL_Q15_P 0.009 0.002 5.691 0.000
## .CBCL_Q16_P 0.056 0.003 21.488 0.000
## .CBCL_Q19_P 0.179 0.006 30.855 0.000
## .CBCL_Q26_P 0.096 0.004 22.454 0.000
## .CBCL_Q27_P 0.160 0.005 31.639 0.000
## .CBCL_Q34_P 0.052 0.003 16.054 0.000
## .CBCL_Q37_P 0.024 0.002 12.624 0.000
## .CBCL_Q39_P 0.059 0.003 17.850 0.000
## .CBCL_Q43_P 0.147 0.004 34.229 0.000
## .CBCL_Q67_P 0.004 0.001 3.648 0.000
## .CBCL_Q68_P 0.089 0.004 22.992 0.000
## .CBCL_Q72_P 0.005 0.001 4.272 0.000
## .CBCL_Q74_P 0.227 0.006 37.825 0.000
## .CBCL_Q86_P 0.185 0.005 38.212 0.000
## .CBCL_Q87_P 0.134 0.004 31.114 0.000
## .CBCL_Q88_P 0.108 0.004 26.761 0.000
## .CBCL_Q89_P 0.030 0.003 10.700 0.000
## .CBCL_Q90_P 0.069 0.004 16.188 0.000
## .CBCL_Q94_P 0.085 0.004 22.741 0.000
## .CBCL_Q95_P 0.167 0.005 34.674 0.000
## .CBCL_Q96_P 0.008 0.002 4.914 0.000
## .Com1_Attack 0.050 0.002 21.785 0.000
## .Com2_Destroy 0.036 0.002 17.665 0.000
## .Com3_Disobeys 0.114 0.003 33.461 0.000
## .Com4_Steals 0.037 0.002 16.211 0.000
## .Com5_Peer 0.096 0.004 26.150 0.000
## .CBCL_Q01_P 0.166 0.005 31.720 0.000
## .CBCL_Q04_P 0.224 0.006 38.009 0.000
## .CBCL_Q09_P 0.199 0.006 34.375 0.000
## .CBCL_Q13_P 0.050 0.003 15.871 0.000
## .CBCL_Q17_P 0.211 0.006 35.520 0.000
## .CBCL_Q36_P 0.154 0.006 27.036 0.000
## .CBCL_Q46_P 0.114 0.005 21.628 0.000
## .CBCL_Q61_P 0.103 0.004 23.238 0.000
## .CBCL_Q62_P 0.112 0.005 22.845 0.000
## .CBCL_Q64_P 0.145 0.005 28.179 0.000
## .CBCL_Q66_P 0.067 0.004 16.136 0.000
## .CBCL_Q80_P 0.067 0.003 20.911 0.000
## .CBCL_Q85_P 0.053 0.003 17.373 0.000
## .CBCL_Q93_P 0.239 0.007 35.772 0.000
## .Com6_Distractd 0.190 0.006 31.901 0.000
## .CBCL_Q112_P 0.183 0.005 35.165 0.000
## .CBCL_Q12_P 0.113 0.005 23.160 0.000
## .CBCL_Q29_P 0.149 0.005 30.765 0.000
## .CBCL_Q30_P 0.047 0.003 14.033 0.000
## .CBCL_Q31_P 0.075 0.004 21.414 0.000
## .CBCL_Q32_P 0.247 0.006 38.470 0.000
## .CBCL_Q35_P 0.108 0.004 27.567 0.000
## .CBCL_Q45_P 0.136 0.005 28.976 0.000
## .CBCL_Q50_P 0.126 0.004 28.431 0.000
## .CBCL_Q52_P 0.067 0.003 20.319 0.000
## .CBCL_Q71_P 0.261 0.006 44.635 0.000
## .CBCL_Q51_P 0.040 0.003 13.716 0.000
## .CBCL_Q56A_P 0.146 0.005 29.125 0.000
## .CBCL_Q56B_P 0.192 0.006 33.078 0.000
## .CBCL_Q56C_P 0.074 0.003 21.497 0.000
## .CBCL_Q56D_P 0.040 0.004 9.754 0.000
## .CBCL_Q56E_P 0.157 0.006 24.806 0.000
## .CBCL_Q56F_P 0.129 0.006 22.845 0.000
## .CBCL_Q56G_P 0.037 0.002 15.185 0.000
## .CBCL_Q56H_P 0.029 0.003 9.564 0.000
## .CBCL_Q102_P 0.061 0.004 16.882 0.000
## .CBCL_Q111_P 0.041 0.002 17.979 0.000
## .CBCL_Q42_P 0.125 0.005 25.738 0.000
## .CBCL_Q65_P 0.066 0.004 17.941 0.000
## .CBCL_Q75_P 0.165 0.006 28.697 0.000
## .Ext 0.072 0.005 15.769 0.000
## .NDe 0.018 0.002 9.628 0.000
## .Int 0.072 0.006 12.374 0.000
## .Som 0.003 0.001 5.179 0.000
## .Det 0.010 0.001 7.034 0.000
## Std.lv Std.all
## 0.977 0.977
## 0.239 0.564
## 0.201 0.809
## 0.207 0.764
## 0.009 0.943
## 0.056 0.723
## 0.179 0.662
## 0.096 0.718
## 0.160 0.691
## 0.052 0.829
## 0.024 0.803
## 0.059 0.897
## 0.147 0.683
## 0.004 0.957
## 0.089 0.660
## 0.005 0.984
## 0.227 0.798
## 0.185 0.583
## 0.134 0.629
## 0.108 0.712
## 0.030 0.844
## 0.069 0.838
## 0.085 0.813
## 0.167 0.577
## 0.008 0.966
## 0.050 0.710
## 0.036 0.758
## 0.114 0.573
## 0.037 0.817
## 0.096 0.714
## 0.166 0.722
## 0.224 0.616
## 0.199 0.641
## 0.050 0.779
## 0.211 0.712
## 0.154 0.843
## 0.114 0.801
## 0.103 0.725
## 0.112 0.758
## 0.145 0.810
## 0.067 0.813
## 0.067 0.741
## 0.053 0.816
## 0.239 0.788
## 0.190 0.500
## 0.183 0.525
## 0.113 0.815
## 0.149 0.761
## 0.047 0.862
## 0.075 0.783
## 0.247 0.774
## 0.108 0.690
## 0.136 0.591
## 0.126 0.488
## 0.067 0.750
## 0.261 0.687
## 0.040 0.902
## 0.146 0.810
## 0.192 0.768
## 0.074 0.513
## 0.040 0.968
## 0.157 0.942
## 0.129 0.564
## 0.037 0.883
## 0.029 0.936
## 0.061 0.762
## 0.041 0.583
## 0.125 0.689
## 0.066 0.795
## 0.165 0.782
## 0.393 0.393
## 0.282 0.282
## 0.437 0.437
## 0.721 0.721
## 0.506 0.506
##
## R-Square:
## Estimate
## p 0.023
## CBCL_Q03_P 0.436
## CBCL_Q07_P 0.191
## CBCL_Q109_P 0.236
## CBCL_Q15_P 0.057
## CBCL_Q16_P 0.277
## CBCL_Q19_P 0.338
## CBCL_Q26_P 0.282
## CBCL_Q27_P 0.309
## CBCL_Q34_P 0.171
## CBCL_Q37_P 0.197
## CBCL_Q39_P 0.103
## CBCL_Q43_P 0.317
## CBCL_Q67_P 0.043
## CBCL_Q68_P 0.340
## CBCL_Q72_P 0.016
## CBCL_Q74_P 0.202
## CBCL_Q86_P 0.417
## CBCL_Q87_P 0.371
## CBCL_Q88_P 0.288
## CBCL_Q89_P 0.156
## CBCL_Q90_P 0.162
## CBCL_Q94_P 0.187
## CBCL_Q95_P 0.423
## CBCL_Q96_P 0.034
## Com1_Attack 0.290
## Com2_Destroy 0.242
## Com3_Disobeys 0.427
## Com4_Steals 0.183
## Com5_Peer 0.286
## CBCL_Q01_P 0.278
## CBCL_Q04_P 0.384
## CBCL_Q09_P 0.359
## CBCL_Q13_P 0.221
## CBCL_Q17_P 0.288
## CBCL_Q36_P 0.157
## CBCL_Q46_P 0.199
## CBCL_Q61_P 0.275
## CBCL_Q62_P 0.242
## CBCL_Q64_P 0.190
## CBCL_Q66_P 0.187
## CBCL_Q80_P 0.259
## CBCL_Q85_P 0.184
## CBCL_Q93_P 0.212
## Com6_Distractd 0.500
## CBCL_Q112_P 0.475
## CBCL_Q12_P 0.185
## CBCL_Q29_P 0.239
## CBCL_Q30_P 0.138
## CBCL_Q31_P 0.217
## CBCL_Q32_P 0.226
## CBCL_Q35_P 0.310
## CBCL_Q45_P 0.409
## CBCL_Q50_P 0.512
## CBCL_Q52_P 0.250
## CBCL_Q71_P 0.313
## CBCL_Q51_P 0.098
## CBCL_Q56A_P 0.190
## CBCL_Q56B_P 0.232
## CBCL_Q56C_P 0.487
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.058
## CBCL_Q56F_P 0.436
## CBCL_Q56G_P 0.117
## CBCL_Q56H_P 0.064
## CBCL_Q102_P 0.238
## CBCL_Q111_P 0.417
## CBCL_Q42_P 0.311
## CBCL_Q65_P 0.205
## CBCL_Q75_P 0.218
## Ext 0.607
## NDe 0.718
## Int 0.563
## Som 0.279
## Det 0.494allPrs_PFac.Fit.p5e_2 <- broom::tidy(allPrs_PFac.Fit) %>%
filter(op == "~") %>%
filter(str_detect(term, "score"))
allPrs_PFac.Fit.p5e_2 %>% knitr::kable()| term | op | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox |
|---|---|---|---|---|---|---|---|---|
| p ~ wrayMDDp5e_2_score | ~ | 0.0643654 | 0.0162593 | 3.9586845 | 0.0000754 | 0.0636262 | 0.0636390 | 0.0636262 |
| p ~ ADHDp5e_2_score | ~ | 0.0648212 | 0.0163434 | 3.9661949 | 0.0000730 | 0.0640768 | 0.0640138 | 0.0640768 |
| p ~ otowaAnxp5e_2_score | ~ | -0.0121200 | 0.0165025 | -0.7344346 | 0.4626839 | -0.0119808 | -0.0119795 | -0.0119808 |
| p ~ ruderferBIPp5e_2_score | ~ | 0.0120335 | 0.0174343 | 0.6902198 | 0.4900560 | 0.0118953 | 0.0118974 | 0.0118953 |
| p ~ pardinasSczp5e_2_score | ~ | -0.0005075 | 0.0173018 | -0.0293305 | 0.9766010 | -0.0005016 | -0.0005017 | -0.0005016 |
| p ~ groveAlsp5e_2_score | ~ | 0.0186282 | 0.0165348 | 1.1266068 | 0.2599088 | 0.0184143 | 0.0183994 | 0.0184143 |
allPrs_PFac.Fit.p5e_2Std <- lavaan::standardizedSolution(allPrs_PFac.Fit) %>%
filter(op == "~") %>%
filter(str_detect(rhs, "score"))
allPrs_PFac.Fit.p5e_2Std %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| p | ~ | wrayMDDp5e_2_score | 0.0636390 | 0.0160207 | 3.9723002 | 0.0000712 | 0.0322390 | 0.0950390 |
| p | ~ | ADHDp5e_2_score | 0.0640138 | 0.0160707 | 3.9832737 | 0.0000680 | 0.0325159 | 0.0955117 |
| p | ~ | otowaAnxp5e_2_score | -0.0119795 | 0.0163074 | -0.7346014 | 0.4625823 | -0.0439414 | 0.0199825 |
| p | ~ | ruderferBIPp5e_2_score | 0.0118974 | 0.0172358 | 0.6902768 | 0.4900201 | -0.0218840 | 0.0456789 |
| p | ~ | pardinasSczp5e_2_score | -0.0005017 | 0.0171066 | -0.0293305 | 0.9766010 | -0.0340300 | 0.0330265 |
| p | ~ | groveAlsp5e_2_score | 0.0183994 | 0.0163281 | 1.1268549 | 0.2598038 | -0.0136031 | 0.0504020 |
3.1.1 Set up parameters for diagrams
diag_var_list <-c("Ext","Neuro\nDev", "Int", "Somatic","Detach","P","P\nPS","MDD\nPS","ADHD\nPS","Con\nVars","ANX\nPS","BIP\nPS","SCZ\nPS","ASD\nPS","Broad\nExt", "Broad\nInt")3.1.2 Sem diagram for relationship between all PSs and P-Factor
s_allPrs_PFac.Fit.p5e_2 <- add.significance.stars(allPrs_PFac.Fit.p5e_2, cutoffs = c(0.05, 0.01, 0.001))
ax_allPrs_PFac.Fit.p5e_2 <-gsub(" ","",paste0(round(allPrs_PFac.Fit.p5e_2$std.all,3),s_allPrs_PFac.Fit.p5e_2[,6]))
# Two factors (1-2), three indicators each:
### specify edge and node
##edges
E <- matrix(c(
1,9, # Loading
1,10, # Loading
1,11, # Loading
1,12, # Loading
1,13,
2,1,
3,1,
4,1,
5,1,
6,1,
7,1,
8,1,
3,2,
2,3,
4,2,
2,4,
5,2,
2,5,
6,2,
2,6,
7,2,
2,7,
8,2,
2,8,
4,3,
3,4,
5,3,
3,5,
6,3,
3,6,
7,3,
3,7,
8,3,
3,8,
5,4,
4,5,
6,4,
4,6,
7,4,
4,7,
8,4,
4,8,
6,5,
5,6,
7,5,
5,7,
8,5,
5,8,
7,6,
6,7,
8,6,
6,8,
8,7,
7,8
),,2,byrow=TRUE)
##nodes
# aspect <- c(sapply(img, function(x) nrow(x)/ncol(x)),1)
size <- 1*c(rep(10,1),rep(6,7),rep(8,5))
shape <- c(rep("circle",1),rep("rectangle",7),rep("circle",5))
borders = TRUE
Layout <- matrix(c(
2,6,
1,18,
1,15,
1,12,
1,9,
1,6,
1,3,
1,0,
3,0,
3,4,
3,8,
3,12,
3,16
),,2,byrow=TRUE)
eCol <-rep(0,nrow(E));eCol[1:5] ="black";eCol[6]="grey";eCol[7:nrow(E)] ="black"
labels <- list(diag_var_list[6],
diag_var_list[10],
diag_var_list[8],
diag_var_list[9],
diag_var_list[11],
diag_var_list[12],
diag_var_list[13],
diag_var_list[14],
diag_var_list[5],
diag_var_list[4],
diag_var_list[3],
diag_var_list[2],
diag_var_list[1]
)
eLabs <- list(
"","","","","","",ax_allPrs_PFac.Fit.p5e_2[1],ax_allPrs_PFac.Fit.p5e_2[2],ax_allPrs_PFac.Fit.p5e_2[3],ax_allPrs_PFac.Fit.p5e_2[4],ax_allPrs_PFac.Fit.p5e_2[5],ax_allPrs_PFac.Fit.p5e_2[6],"","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","","",""
)
curve <- rep(0,nrow(E))
idx = seq(from=12,to =4,by=-2)
sum_idx = rep(0, length(idx))
for(i in 1:length(idx)){
sum_idx[i]=sum(idx[1:i])
}
curve[13+sum_idx]<-3;curve[14+sum_idx]<-3
curve[15+sum_idx[1:4]]<-2;curve[16+sum_idx[1:4]]<-2
curve[17+sum_idx[1:3]]<-2;curve[18+sum_idx[1:3]]<-2
curve[19+sum_idx[1:2]]<-1;curve[20+sum_idx[1:2]]<-1
curve[21+sum_idx[1]]<-1;curve[22+sum_idx[1]]<-1
curve[13:14]<-3;curve[15:16]<-2;curve[17:18]<-2;curve[19:20]<-1;curve[21:22]<-1;curve[23:24]<-1;
loopRot <- c(rep(0,2))
node_col <- rep("white",13);node_col[2:8]<-"wheat1";node_col[1]<-"darkseagreen1";node_col[9:13]<-"darkseagreen1"
qgraph(E,edgelist = TRUE,
vsize = size, shape = shape ,
borders = borders, layout = Layout,
edge.color = eCol, asize = 3, labels = labels,
label.scale.equal = FALSE, bidirectional = TRUE,
mar = c(6,5,9,5), esize = 2, label.cex = 1,
edge.labels = eLabs, edge.label.cex = 1.25,
bg = "transparent", edge.label.bg = "white",
loopRotation = loopRot, curve = curve, curveAll=TRUE,
width = 8, height = 5,color=node_col)
3.2 Relationship between mediators (BIS, BAS, G) and P-Factor
This is to ensure that the proposed mediators were related to the P-Factor.
BIS_BAS_G_PFac <-'
# cbcl p
Ext =~ CBCL_Q03_P + CBCL_Q07_P + CBCL_Q109_P + CBCL_Q15_P + CBCL_Q16_P + CBCL_Q19_P + CBCL_Q26_P + CBCL_Q27_P + CBCL_Q34_P + CBCL_Q37_P + CBCL_Q39_P + CBCL_Q43_P + CBCL_Q67_P + CBCL_Q68_P + CBCL_Q72_P + CBCL_Q74_P + CBCL_Q86_P + CBCL_Q87_P + CBCL_Q88_P + CBCL_Q89_P + CBCL_Q90_P + CBCL_Q94_P + CBCL_Q95_P + CBCL_Q96_P + Com1_Attack + Com2_Destroy + Com3_Disobeys + Com4_Steals + Com5_Peer
Int =~ CBCL_Q112_P + CBCL_Q12_P + CBCL_Q29_P + CBCL_Q30_P + CBCL_Q31_P + CBCL_Q32_P + CBCL_Q35_P + CBCL_Q45_P + CBCL_Q50_P + CBCL_Q52_P + CBCL_Q71_P
Att =~ CBCL_Q01_P + CBCL_Q04_P + CBCL_Q09_P + CBCL_Q13_P + CBCL_Q17_P + CBCL_Q36_P + CBCL_Q46_P + CBCL_Q61_P + CBCL_Q62_P + CBCL_Q64_P + CBCL_Q66_P + CBCL_Q80_P + CBCL_Q85_P + CBCL_Q93_P + Com6_Distracted
Som =~ CBCL_Q51_P + CBCL_Q56A_P + CBCL_Q56B_P + CBCL_Q56C_P + CBCL_Q56D_P + CBCL_Q56E_P + CBCL_Q56F_P + CBCL_Q56G_P + CBCL_Q56H_P
Det =~ CBCL_Q102_P + CBCL_Q111_P + CBCL_Q42_P + CBCL_Q65_P + CBCL_Q75_P
p =~ NA*Ext + Int + Att + Som + Det #estimate the loading of Ext -> as opposed to using it as a marker
p ~~ 1*p #need to constrain variance to 1
BIS =~ BISBAS2_Y + BISBAS3_Y + BISBAS4_Y + BISBAS6_Y
RR =~ BISBAS8_Y + BISBAS10_Y + BISBAS11_Y + BISBAS12_Y
Drive =~ BISBAS13_Y + BISBAS14_Y + BISBAS15_Y + BISBAS16_Y
Fun =~ BISBAS17_Y + BISBAS18_Y + BISBAS19_Y + BISBAS20_Y
BAS =~ NA*RR + Drive + Fun #estimate the loading of RR -> as opposed to using it as a marker
BAS ~~ 1*BAS #need to constrain variance to 1
#BAS ~~ 0*BIS #not othogonize them
EF =~ NIHTBX_FLANKER_UNCORRECTED + NIHTBX_CARDSORT_UNCORRECTED + NIHTBX_PATTERN_UNCORRECTED
verbal =~ NIHTBX_PICVOCAB_UNCORRECTED + NIHTBX_READING_UNCORRECTED
memory =~ NIHTBX_PICTURE_UNCORRECTED + PEA_RAVLT_LD_TRIAL_VII_TC + NIHTBX_LIST_UNCORRECTED
spatial =~ LMT_SCR_PERC_CORRECT + PEA_WISCV_TRS
g =~ NA*EF + verbal + memory + spatial #estimate the loading of EF -> as opposed to using it as a marker
g ~~ 1*g #need to constrain variance to 1
p ~ BIS + BAS + g
'
BIS_BAS_G_PFac.Fit <- lavaan::cfa(model = BIS_BAS_G_PFac , data = MostPrsCBCLBISBAS.ScoreScaled , ordered = CBCLNames)
lavaan::summary(BIS_BAS_G_PFac.Fit, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 82 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of free parameters 303
##
## Used Total
## Number of observations 4478 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 23146.402 14287.368
## Degrees of freedom 4352 4352
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.980
## Shift parameter 2595.878
## simple second-order correction
##
## Model Test Baseline Model:
##
## Test statistic 443833.552 128699.284
## Degrees of freedom 4465 4465
## P-value 0.000 0.000
## Scaling correction factor 3.537
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.957 0.920
## Tucker-Lewis Index (TLI) 0.956 0.918
##
## Robust Comparative Fit Index (CFI) NA
## Robust Tucker-Lewis Index (TLI) NA
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.031 0.023
## 90 Percent confidence interval - lower 0.031 0.022
## 90 Percent confidence interval - upper 0.031 0.023
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA NA
## 90 Percent confidence interval - lower NA
## 90 Percent confidence interval - upper NA
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.068 0.068
##
## Parameter Estimates:
##
## Standard errors Robust.sem
## Information Expected
## Information saturated (h1) model Unstructured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## Ext =~
## CBCL_Q03_P 1.000
## CBCL_Q07_P 0.711 0.023 31.325 0.000
## CBCL_Q109_P 0.830 0.021 39.866 0.000
## CBCL_Q15_P 0.851 0.059 14.483 0.000
## CBCL_Q16_P 0.931 0.027 33.991 0.000
## CBCL_Q19_P 0.955 0.020 47.270 0.000
## CBCL_Q26_P 0.891 0.024 36.509 0.000
## CBCL_Q27_P 0.894 0.022 41.134 0.000
## CBCL_Q34_P 0.927 0.032 28.783 0.000
## CBCL_Q37_P 0.981 0.037 26.855 0.000
## CBCL_Q39_P 0.658 0.035 18.729 0.000
## CBCL_Q43_P 0.906 0.021 43.328 0.000
## CBCL_Q67_P 0.990 0.086 11.519 0.000
## CBCL_Q68_P 1.006 0.022 44.902 0.000
## CBCL_Q72_P 0.655 0.076 8.671 0.000
## CBCL_Q74_P 0.746 0.022 33.269 0.000
## CBCL_Q86_P 1.009 0.017 61.025 0.000
## CBCL_Q87_P 1.012 0.020 49.883 0.000
## CBCL_Q88_P 0.973 0.023 42.902 0.000
## CBCL_Q89_P 0.956 0.039 24.615 0.000
## CBCL_Q90_P 0.773 0.034 22.969 0.000
## CBCL_Q94_P 0.781 0.029 27.258 0.000
## CBCL_Q95_P 0.988 0.017 57.456 0.000
## CBCL_Q96_P 0.759 0.074 10.242 0.000
## Com1_Attack 0.964 0.027 35.683 0.000
## Com2_Destroy 0.992 0.031 32.241 0.000
## Com3_Disobeys 1.039 0.018 58.039 0.000
## Com4_Steals 0.912 0.035 26.442 0.000
## Com5_Peer 0.996 0.023 42.469 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 1.027 0.031 33.227 0.000
## CBCL_Q29_P 0.793 0.027 28.979 0.000
## CBCL_Q30_P 0.909 0.045 20.365 0.000
## CBCL_Q31_P 0.859 0.034 25.465 0.000
## CBCL_Q32_P 0.625 0.026 24.190 0.000
## CBCL_Q35_P 1.075 0.026 41.965 0.000
## CBCL_Q45_P 1.064 0.024 44.370 0.000
## CBCL_Q50_P 1.050 0.021 50.496 0.000
## CBCL_Q52_P 0.891 0.033 27.218 0.000
## CBCL_Q71_P 0.909 0.022 40.727 0.000
## Att =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.093 0.030 36.484 0.000
## CBCL_Q09_P 1.108 0.032 34.870 0.000
## CBCL_Q13_P 1.065 0.042 25.598 0.000
## CBCL_Q17_P 0.874 0.033 26.794 0.000
## CBCL_Q36_P 0.803 0.035 23.266 0.000
## CBCL_Q46_P 0.927 0.038 24.398 0.000
## CBCL_Q61_P 1.082 0.035 31.131 0.000
## CBCL_Q62_P 0.970 0.034 28.260 0.000
## CBCL_Q64_P 0.911 0.033 27.330 0.000
## CBCL_Q66_P 1.049 0.042 24.700 0.000
## CBCL_Q80_P 1.061 0.038 28.295 0.000
## CBCL_Q85_P 1.047 0.043 24.191 0.000
## CBCL_Q93_P 0.862 0.031 27.590 0.000
## Com6_Distractd 1.190 0.031 38.085 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 0.915 0.075 12.276 0.000
## CBCL_Q56B_P 0.863 0.066 13.022 0.000
## CBCL_Q56C_P 1.208 0.086 14.036 0.000
## CBCL_Q56D_P 0.743 0.087 8.501 0.000
## CBCL_Q56E_P 0.567 0.063 9.060 0.000
## CBCL_Q56F_P 1.079 0.075 14.389 0.000
## CBCL_Q56G_P 0.758 0.079 9.537 0.000
## CBCL_Q56H_P 0.959 0.106 9.076 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.127 0.048 23.443 0.000
## CBCL_Q42_P 0.814 0.039 20.919 0.000
## CBCL_Q65_P 1.023 0.051 20.258 0.000
## CBCL_Q75_P 0.774 0.041 19.091 0.000
## p =~
## Ext 0.611 0.012 52.708 0.000
## Int 0.565 0.013 42.766 0.000
## Att 0.584 0.016 37.393 0.000
## Som 0.385 0.028 13.738 0.000
## Det 0.560 0.024 23.547 0.000
## BIS =~
## BISBAS2_Y 1.000
## BISBAS3_Y 1.077 0.073 14.829 0.000
## BISBAS4_Y 1.137 0.075 15.184 0.000
## BISBAS6_Y 0.957 0.054 17.694 0.000
## RR =~
## BISBAS8_Y 1.000
## BISBAS10_Y 0.920 0.039 23.352 0.000
## BISBAS11_Y 0.729 0.037 19.909 0.000
## BISBAS12_Y 1.074 0.045 23.897 0.000
## Drive =~
## BISBAS13_Y 1.000
## BISBAS14_Y 1.128 0.038 29.449 0.000
## BISBAS15_Y 1.110 0.042 26.322 0.000
## BISBAS16_Y 0.837 0.039 21.539 0.000
## Fun =~
## BISBAS17_Y 1.000
## BISBAS18_Y 0.988 0.045 21.991 0.000
## BISBAS19_Y 0.860 0.044 19.668 0.000
## BISBAS20_Y 0.981 0.044 22.062 0.000
## BAS =~
## RR 0.553 0.023 23.783 0.000
## Drive 0.527 0.020 25.963 0.000
## Fun 0.496 0.020 24.497 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.278 0.055 23.026 0.000
## NIHTBX_PATTERN 1.003 0.046 21.677 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.088 0.047 23.140 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.045 0.054 19.302 0.000
## NIHTBX_LIST_UN 1.154 0.059 19.540 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.096 0.061 18.107 0.000
## g =~
## EF 0.367 0.018 20.462 0.000
## verbal 0.480 0.021 23.283 0.000
## memory 0.481 0.023 20.853 0.000
## spatial 0.481 0.022 21.495 0.000
## Std.lv Std.all
##
## 0.772 0.772
## 0.549 0.549
## 0.641 0.641
## 0.657 0.657
## 0.719 0.719
## 0.737 0.737
## 0.688 0.688
## 0.690 0.690
## 0.716 0.716
## 0.757 0.757
## 0.508 0.508
## 0.700 0.700
## 0.764 0.764
## 0.776 0.776
## 0.506 0.506
## 0.576 0.576
## 0.779 0.779
## 0.781 0.781
## 0.751 0.751
## 0.738 0.738
## 0.597 0.597
## 0.603 0.603
## 0.763 0.763
## 0.586 0.586
## 0.744 0.744
## 0.766 0.766
## 0.802 0.802
## 0.704 0.704
## 0.769 0.769
##
## 0.763 0.763
## 0.783 0.783
## 0.605 0.605
## 0.694 0.694
## 0.655 0.655
## 0.477 0.477
## 0.820 0.820
## 0.811 0.811
## 0.801 0.801
## 0.680 0.680
## 0.693 0.693
##
## 0.682 0.682
## 0.745 0.745
## 0.756 0.756
## 0.727 0.727
## 0.596 0.596
## 0.548 0.548
## 0.632 0.632
## 0.738 0.738
## 0.662 0.662
## 0.621 0.621
## 0.715 0.715
## 0.724 0.724
## 0.714 0.714
## 0.588 0.588
## 0.812 0.812
##
## 0.697 0.697
## 0.638 0.638
## 0.601 0.601
## 0.841 0.841
## 0.518 0.518
## 0.395 0.395
## 0.752 0.752
## 0.528 0.528
## 0.668 0.668
##
## 0.769 0.769
## 0.867 0.867
## 0.626 0.626
## 0.787 0.787
## 0.595 0.595
##
## 0.825 0.825
## 0.771 0.771
## 0.891 0.891
## 0.575 0.575
## 0.758 0.758
##
## 0.554 0.555
## 0.597 0.597
## 0.630 0.631
## 0.530 0.533
##
## 0.682 0.683
## 0.627 0.630
## 0.497 0.496
## 0.732 0.735
##
## 0.676 0.674
## 0.762 0.763
## 0.750 0.750
## 0.566 0.569
##
## 0.612 0.611
## 0.605 0.607
## 0.527 0.529
## 0.600 0.599
##
## 0.812 0.812
## 0.779 0.779
## 0.810 0.810
##
## 0.582 0.585
## 0.744 0.747
## 0.584 0.585
##
## 0.678 0.676
## 0.738 0.738
##
## 0.536 0.536
## 0.560 0.559
## 0.618 0.617
##
## 0.509 0.510
## 0.558 0.557
##
## 0.631 0.631
## 0.708 0.708
## 0.898 0.898
## 0.946 0.946
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## p ~
## BIS 0.092 0.047 1.973 0.049
## BAS 0.104 0.025 4.125 0.000
## g -0.237 0.023 -10.079 0.000
## Std.lv Std.all
##
## 0.049 0.049
## 0.100 0.100
## -0.227 -0.227
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## BIS ~~
## BAS 0.231 0.015 15.696 0.000
## g -0.020 0.012 -1.618 0.106
## BAS ~~
## g -0.187 0.020 -9.339 0.000
## Std.lv Std.all
##
## 0.417 0.417
## -0.036 -0.036
##
## -0.187 -0.187
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|)
## .CBCL_Q03_P 0.000
## .CBCL_Q07_P 0.000
## .CBCL_Q109_P 0.000
## .CBCL_Q15_P 0.000
## .CBCL_Q16_P 0.000
## .CBCL_Q19_P 0.000
## .CBCL_Q26_P 0.000
## .CBCL_Q27_P 0.000
## .CBCL_Q34_P 0.000
## .CBCL_Q37_P 0.000
## .CBCL_Q39_P 0.000
## .CBCL_Q43_P 0.000
## .CBCL_Q67_P 0.000
## .CBCL_Q68_P 0.000
## .CBCL_Q72_P 0.000
## .CBCL_Q74_P 0.000
## .CBCL_Q86_P 0.000
## .CBCL_Q87_P 0.000
## .CBCL_Q88_P 0.000
## .CBCL_Q89_P 0.000
## .CBCL_Q90_P 0.000
## .CBCL_Q94_P 0.000
## .CBCL_Q95_P 0.000
## .CBCL_Q96_P 0.000
## .Com1_Attack 0.000
## .Com2_Destroy 0.000
## .Com3_Disobeys 0.000
## .Com4_Steals 0.000
## .Com5_Peer 0.000
## .CBCL_Q112_P 0.000
## .CBCL_Q12_P 0.000
## .CBCL_Q29_P 0.000
## .CBCL_Q30_P 0.000
## .CBCL_Q31_P 0.000
## .CBCL_Q32_P 0.000
## .CBCL_Q35_P 0.000
## .CBCL_Q45_P 0.000
## .CBCL_Q50_P 0.000
## .CBCL_Q52_P 0.000
## .CBCL_Q71_P 0.000
## .CBCL_Q01_P 0.000
## .CBCL_Q04_P 0.000
## .CBCL_Q09_P 0.000
## .CBCL_Q13_P 0.000
## .CBCL_Q17_P 0.000
## .CBCL_Q36_P 0.000
## .CBCL_Q46_P 0.000
## .CBCL_Q61_P 0.000
## .CBCL_Q62_P 0.000
## .CBCL_Q64_P 0.000
## .CBCL_Q66_P 0.000
## .CBCL_Q80_P 0.000
## .CBCL_Q85_P 0.000
## .CBCL_Q93_P 0.000
## .Com6_Distractd 0.000
## .CBCL_Q51_P 0.000
## .CBCL_Q56A_P 0.000
## .CBCL_Q56B_P 0.000
## .CBCL_Q56C_P 0.000
## .CBCL_Q56D_P 0.000
## .CBCL_Q56E_P 0.000
## .CBCL_Q56F_P 0.000
## .CBCL_Q56G_P 0.000
## .CBCL_Q56H_P 0.000
## .CBCL_Q102_P 0.000
## .CBCL_Q111_P 0.000
## .CBCL_Q42_P 0.000
## .CBCL_Q65_P 0.000
## .CBCL_Q75_P 0.000
## .BISBAS2_Y -0.004 0.015 -0.252 0.801
## .BISBAS3_Y -0.006 0.016 -0.370 0.711
## .BISBAS4_Y -0.010 0.015 -0.675 0.500
## .BISBAS6_Y 0.001 0.015 0.042 0.967
## .BISBAS8_Y -0.000 0.016 -0.017 0.986
## .BISBAS10_Y 0.001 0.017 0.037 0.971
## .BISBAS11_Y -0.005 0.020 -0.259 0.796
## .BISBAS12_Y -0.004 0.016 -0.233 0.816
## .BISBAS13_Y -0.004 0.016 -0.276 0.782
## .BISBAS14_Y 0.000 0.020 0.003 0.998
## .BISBAS15_Y -0.004 0.017 -0.253 0.800
## .BISBAS16_Y -0.004 0.028 -0.139 0.890
## .BISBAS17_Y 0.001 0.017 0.075 0.940
## .BISBAS18_Y -0.000 0.015 -0.012 0.990
## .BISBAS19_Y 0.003 0.016 0.179 0.858
## .BISBAS20_Y 0.004 0.017 0.236 0.814
## .NIHTBX_FLANKER 0.007 0.017 0.431 0.666
## .NIHTBX_CARDSOR 0.008 0.015 0.487 0.626
## .NIHTBX_PATTERN 0.007 0.015 0.483 0.629
## .NIHTBX_PICVOCA 0.005 0.015 0.354 0.724
## .NIHTBX_READING 0.005 0.015 0.362 0.717
## .NIHTBX_PICTURE 0.003 0.015 0.188 0.851
## .PEA_RAVLT_LD_T 0.001 0.016 0.059 0.953
## .NIHTBX_LIST_UN 0.005 0.016 0.344 0.731
## .LMT_SCR_PERC_C 0.002 0.015 0.105 0.917
## .PEA_WISCV_TRS 0.004 0.015 0.249 0.804
## .Ext 0.000
## .Int 0.000
## .Att 0.000
## .Som 0.000
## .Det 0.000
## .p 0.000
## BIS 0.000
## .RR 0.000
## .Drive 0.000
## .Fun 0.000
## BAS 0.000
## .EF 0.000
## .verbal 0.000
## .memory 0.000
## .spatial 0.000
## g 0.000
## Std.lv Std.all
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## -0.004 -0.004
## -0.006 -0.006
## -0.010 -0.010
## 0.001 0.001
## -0.000 -0.000
## 0.001 0.001
## -0.005 -0.005
## -0.004 -0.004
## -0.004 -0.004
## 0.000 0.000
## -0.004 -0.004
## -0.004 -0.004
## 0.001 0.001
## -0.000 -0.000
## 0.003 0.003
## 0.004 0.004
## 0.007 0.007
## 0.008 0.008
## 0.007 0.007
## 0.005 0.005
## 0.005 0.005
## 0.003 0.003
## 0.001 0.001
## 0.005 0.005
## 0.002 0.002
## 0.004 0.004
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
##
## Thresholds:
## Estimate Std.Err z-value P(>|z|)
## CBCL_Q03_P|t1 0.096 0.019 5.139 0.000
## CBCL_Q03_P|t2 1.365 0.027 51.155 0.000
## CBCL_Q07_P|t1 0.630 0.020 31.263 0.000
## CBCL_Q07_P|t2 2.016 0.042 48.183 0.000
## CBCL_Q109_P|t1 0.529 0.020 26.839 0.000
## CBCL_Q109_P|t2 1.967 0.040 48.977 0.000
## CBCL_Q15_P|t1 2.407 0.061 39.704 0.000
## CBCL_Q15_P|t2 3.322 0.197 16.841 0.000
## CBCL_Q16_P|t1 1.450 0.028 51.832 0.000
## CBCL_Q16_P|t2 2.734 0.088 31.118 0.000
## CBCL_Q19_P|t1 0.775 0.021 37.047 0.000
## CBCL_Q19_P|t2 1.778 0.035 51.294 0.000
## CBCL_Q26_P|t1 1.204 0.025 48.928 0.000
## CBCL_Q26_P|t2 2.248 0.052 43.526 0.000
## CBCL_Q27_P|t1 0.807 0.021 38.218 0.000
## CBCL_Q27_P|t2 1.975 0.040 48.855 0.000
## CBCL_Q34_P|t1 1.619 0.031 52.147 0.000
## CBCL_Q34_P|t2 2.598 0.075 34.747 0.000
## CBCL_Q37_P|t1 1.916 0.039 49.733 0.000
## CBCL_Q37_P|t2 3.057 0.134 22.819 0.000
## CBCL_Q39_P|t1 1.536 0.029 52.156 0.000
## CBCL_Q39_P|t2 2.785 0.093 29.782 0.000
## CBCL_Q43_P|t1 0.757 0.021 36.346 0.000
## CBCL_Q43_P|t2 2.195 0.049 44.698 0.000
## CBCL_Q67_P|t1 2.690 0.083 32.297 0.000
## CBCL_Q67_P|t2 3.511 0.266 13.207 0.000
## CBCL_Q68_P|t1 1.249 0.025 49.680 0.000
## CBCL_Q68_P|t2 2.208 0.050 44.423 0.000
## CBCL_Q72_P|t1 2.598 0.075 34.747 0.000
## CBCL_Q72_P|t2 3.511 0.266 13.207 0.000
## CBCL_Q74_P|t1 0.589 0.020 29.495 0.000
## CBCL_Q74_P|t2 1.820 0.036 50.893 0.000
## CBCL_Q86_P|t1 0.396 0.019 20.534 0.000
## CBCL_Q86_P|t2 1.754 0.034 51.490 0.000
## CBCL_Q87_P|t1 0.865 0.022 40.194 0.000
## CBCL_Q87_P|t2 2.016 0.042 48.183 0.000
## CBCL_Q88_P|t1 1.103 0.024 46.883 0.000
## CBCL_Q88_P|t2 2.248 0.052 43.526 0.000
## CBCL_Q89_P|t1 1.923 0.039 49.635 0.000
## CBCL_Q89_P|t2 2.759 0.091 30.472 0.000
## CBCL_Q90_P|t1 1.549 0.030 52.175 0.000
## CBCL_Q90_P|t2 2.387 0.059 40.200 0.000
## CBCL_Q94_P|t1 1.306 0.026 50.488 0.000
## CBCL_Q94_P|t2 2.524 0.069 36.705 0.000
## CBCL_Q95_P|t1 0.618 0.020 30.771 0.000
## CBCL_Q95_P|t2 1.769 0.034 51.363 0.000
## CBCL_Q96_P|t1 2.473 0.065 38.025 0.000
## CBCL_Q96_P|t2 3.207 0.166 19.317 0.000
## Com1_Attack|t1 1.483 0.029 51.997 0.000
## Com1_Attack|t2 2.914 0.110 26.415 0.000
## Com2_Destry|t1 1.690 0.033 51.899 0.000
## Com2_Destry|t2 3.057 0.134 22.819 0.000
## Com3_Disbys|t1 0.742 0.021 35.782 0.000
## Com3_Disbys|t2 2.378 0.059 40.438 0.000
## Com4_Steals|t1 1.701 0.033 51.836 0.000
## Com4_Steals|t2 3.124 0.147 21.236 0.000
## Com5_Peer|t1 1.128 0.024 47.434 0.000
## Com5_Peer|t2 2.473 0.065 38.025 0.000
## CBCL_Q112_P|t1 0.266 0.019 14.000 0.000
## CBCL_Q112_P|t2 1.640 0.031 52.095 0.000
## CBCL_Q12_P|t1 1.187 0.024 48.616 0.000
## CBCL_Q12_P|t2 2.234 0.051 43.838 0.000
## CBCL_Q29_P|t1 0.901 0.022 41.380 0.000
## CBCL_Q29_P|t2 2.090 0.045 46.851 0.000
## CBCL_Q30_P|t1 1.718 0.033 51.737 0.000
## CBCL_Q30_P|t2 2.650 0.079 33.351 0.000
## CBCL_Q31_P|t1 1.362 0.027 51.127 0.000
## CBCL_Q31_P|t2 2.485 0.066 37.712 0.000
## CBCL_Q32_P|t1 0.492 0.020 25.108 0.000
## CBCL_Q32_P|t2 1.690 0.033 51.899 0.000
## CBCL_Q35_P|t1 1.055 0.023 45.765 0.000
## CBCL_Q35_P|t2 2.270 0.053 43.032 0.000
## CBCL_Q45_P|t1 0.810 0.021 38.301 0.000
## CBCL_Q45_P|t2 1.948 0.040 49.266 0.000
## CBCL_Q50_P|t1 0.711 0.021 34.591 0.000
## CBCL_Q50_P|t2 1.869 0.037 50.342 0.000
## CBCL_Q52_P|t1 1.452 0.028 51.841 0.000
## CBCL_Q52_P|t2 2.461 0.064 38.327 0.000
## CBCL_Q71_P|t1 0.109 0.019 5.826 0.000
## CBCL_Q71_P|t2 1.511 0.029 52.096 0.000
## CBCL_Q01_P|t1 0.818 0.021 38.577 0.000
## CBCL_Q01_P|t2 1.975 0.040 48.855 0.000
## CBCL_Q04_P|t1 0.229 0.019 12.123 0.000
## CBCL_Q04_P|t2 1.567 0.030 52.190 0.000
## CBCL_Q09_P|t1 0.614 0.020 30.598 0.000
## CBCL_Q09_P|t2 1.667 0.032 52.003 0.000
## CBCL_Q13_P|t1 1.658 0.032 52.038 0.000
## CBCL_Q13_P|t2 2.510 0.068 37.053 0.000
## CBCL_Q17_P|t1 0.570 0.020 28.651 0.000
## CBCL_Q17_P|t2 1.772 0.035 51.341 0.000
## CBCL_Q36_P|t1 1.014 0.023 44.703 0.000
## CBCL_Q36_P|t2 2.090 0.045 46.851 0.000
## CBCL_Q46_P|t1 1.257 0.025 49.812 0.000
## CBCL_Q46_P|t2 2.110 0.045 46.458 0.000
## CBCL_Q61_P|t1 1.195 0.024 48.763 0.000
## CBCL_Q61_P|t2 2.195 0.049 44.698 0.000
## CBCL_Q62_P|t1 1.197 0.025 48.804 0.000
## CBCL_Q62_P|t2 2.148 0.047 45.698 0.000
## CBCL_Q64_P|t1 1.000 0.023 44.326 0.000
## CBCL_Q64_P|t2 2.121 0.046 46.250 0.000
## CBCL_Q66_P|t1 1.566 0.030 52.189 0.000
## CBCL_Q66_P|t2 2.350 0.057 41.114 0.000
## CBCL_Q80_P|t1 1.425 0.028 51.670 0.000
## CBCL_Q80_P|t2 2.498 0.067 37.388 0.000
## CBCL_Q85_P|t1 1.556 0.030 52.183 0.000
## CBCL_Q85_P|t2 2.785 0.093 29.782 0.000
## CBCL_Q93_P|t1 0.635 0.020 31.465 0.000
## CBCL_Q93_P|t2 1.706 0.033 51.810 0.000
## Cm6_Dstrctd|t1 0.334 0.019 17.479 0.000
## Cm6_Dstrctd|t2 1.493 0.029 52.038 0.000
## CBCL_Q51_P|t1 1.746 0.034 51.549 0.000
## CBCL_Q51_P|t2 2.914 0.110 26.415 0.000
## CBCL_Q56A_P|t1 0.931 0.022 42.309 0.000
## CBCL_Q56A_P|t2 2.208 0.050 44.423 0.000
## CBCL_Q56B_P|t1 0.561 0.020 28.271 0.000
## CBCL_Q56B_P|t2 2.070 0.044 47.218 0.000
## CBCL_Q56C_P|t1 1.069 0.023 46.103 0.000
## CBCL_Q56C_P|t2 2.397 0.060 39.956 0.000
## CBCL_Q56D_P|t1 1.916 0.039 49.733 0.000
## CBCL_Q56D_P|t2 2.615 0.076 34.303 0.000
## CBCL_Q56E_P|t1 1.055 0.023 45.765 0.000
## CBCL_Q56E_P|t2 2.159 0.047 45.462 0.000
## CBCL_Q56F_P|t1 0.686 0.020 33.593 0.000
## CBCL_Q56F_P|t2 2.090 0.045 46.851 0.000
## CBCL_Q56G_P|t1 1.736 0.034 51.622 0.000
## CBCL_Q56G_P|t2 3.124 0.147 21.236 0.000
## CBCL_Q56H_P|t1 1.995 0.041 48.532 0.000
## CBCL_Q56H_P|t2 2.759 0.091 30.472 0.000
## CBCL_Q102_P|t1 1.502 0.029 52.068 0.000
## CBCL_Q102_P|t2 2.498 0.067 37.388 0.000
## CBCL_Q111_P|t1 1.516 0.029 52.111 0.000
## CBCL_Q111_P|t2 2.650 0.079 33.351 0.000
## CBCL_Q42_P|t1 0.941 0.022 42.625 0.000
## CBCL_Q42_P|t2 2.202 0.049 44.562 0.000
## CBCL_Q65_P|t1 1.436 0.028 51.744 0.000
## CBCL_Q65_P|t2 2.567 0.072 35.579 0.000
## CBCL_Q75_P|t1 0.853 0.021 39.813 0.000
## CBCL_Q75_P|t2 2.047 0.043 47.644 0.000
## Std.lv Std.all
## 0.096 0.096
## 1.365 1.365
## 0.630 0.630
## 2.016 2.016
## 0.529 0.529
## 1.967 1.967
## 2.407 2.407
## 3.322 3.322
## 1.450 1.450
## 2.734 2.734
## 0.775 0.775
## 1.778 1.778
## 1.204 1.204
## 2.248 2.248
## 0.807 0.807
## 1.975 1.975
## 1.619 1.619
## 2.598 2.598
## 1.916 1.916
## 3.057 3.057
## 1.536 1.536
## 2.785 2.785
## 0.757 0.757
## 2.195 2.195
## 2.690 2.690
## 3.511 3.511
## 1.249 1.249
## 2.208 2.208
## 2.598 2.598
## 3.511 3.511
## 0.589 0.589
## 1.820 1.820
## 0.396 0.396
## 1.754 1.754
## 0.865 0.865
## 2.016 2.016
## 1.103 1.103
## 2.248 2.248
## 1.923 1.923
## 2.759 2.759
## 1.549 1.549
## 2.387 2.387
## 1.306 1.306
## 2.524 2.524
## 0.618 0.618
## 1.769 1.769
## 2.473 2.473
## 3.207 3.207
## 1.483 1.483
## 2.914 2.914
## 1.690 1.690
## 3.057 3.057
## 0.742 0.742
## 2.378 2.378
## 1.701 1.701
## 3.124 3.124
## 1.128 1.128
## 2.473 2.473
## 0.266 0.266
## 1.640 1.640
## 1.187 1.187
## 2.234 2.234
## 0.901 0.901
## 2.090 2.090
## 1.718 1.718
## 2.650 2.650
## 1.362 1.362
## 2.485 2.485
## 0.492 0.492
## 1.690 1.690
## 1.055 1.055
## 2.270 2.270
## 0.810 0.810
## 1.948 1.948
## 0.711 0.711
## 1.869 1.869
## 1.452 1.452
## 2.461 2.461
## 0.109 0.109
## 1.511 1.511
## 0.818 0.818
## 1.975 1.975
## 0.229 0.229
## 1.567 1.567
## 0.614 0.614
## 1.667 1.667
## 1.658 1.658
## 2.510 2.510
## 0.570 0.570
## 1.772 1.772
## 1.014 1.014
## 2.090 2.090
## 1.257 1.257
## 2.110 2.110
## 1.195 1.195
## 2.195 2.195
## 1.197 1.197
## 2.148 2.148
## 1.000 1.000
## 2.121 2.121
## 1.566 1.566
## 2.350 2.350
## 1.425 1.425
## 2.498 2.498
## 1.556 1.556
## 2.785 2.785
## 0.635 0.635
## 1.706 1.706
## 0.334 0.334
## 1.493 1.493
## 1.746 1.746
## 2.914 2.914
## 0.931 0.931
## 2.208 2.208
## 0.561 0.561
## 2.070 2.070
## 1.069 1.069
## 2.397 2.397
## 1.916 1.916
## 2.615 2.615
## 1.055 1.055
## 2.159 2.159
## 0.686 0.686
## 2.090 2.090
## 1.736 1.736
## 3.124 3.124
## 1.995 1.995
## 2.759 2.759
## 1.502 1.502
## 2.498 2.498
## 1.516 1.516
## 2.650 2.650
## 0.941 0.941
## 2.202 2.202
## 1.436 1.436
## 2.567 2.567
## 0.853 0.853
## 2.047 2.047
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .p 1.000
## BAS 1.000
## g 1.000
## .CBCL_Q03_P 0.404
## .CBCL_Q07_P 0.699
## .CBCL_Q109_P 0.589
## .CBCL_Q15_P 0.568
## .CBCL_Q16_P 0.483
## .CBCL_Q19_P 0.457
## .CBCL_Q26_P 0.527
## .CBCL_Q27_P 0.524
## .CBCL_Q34_P 0.488
## .CBCL_Q37_P 0.427
## .CBCL_Q39_P 0.742
## .CBCL_Q43_P 0.511
## .CBCL_Q67_P 0.416
## .CBCL_Q68_P 0.397
## .CBCL_Q72_P 0.744
## .CBCL_Q74_P 0.669
## .CBCL_Q86_P 0.393
## .CBCL_Q87_P 0.390
## .CBCL_Q88_P 0.436
## .CBCL_Q89_P 0.456
## .CBCL_Q90_P 0.644
## .CBCL_Q94_P 0.636
## .CBCL_Q95_P 0.418
## .CBCL_Q96_P 0.657
## .Com1_Attack 0.447
## .Com2_Destroy 0.413
## .Com3_Disobeys 0.356
## .Com4_Steals 0.504
## .Com5_Peer 0.408
## .CBCL_Q112_P 0.418
## .CBCL_Q12_P 0.386
## .CBCL_Q29_P 0.634
## .CBCL_Q30_P 0.519
## .CBCL_Q31_P 0.570
## .CBCL_Q32_P 0.773
## .CBCL_Q35_P 0.328
## .CBCL_Q45_P 0.341
## .CBCL_Q50_P 0.358
## .CBCL_Q52_P 0.538
## .CBCL_Q71_P 0.519
## .CBCL_Q01_P 0.535
## .CBCL_Q04_P 0.444
## .CBCL_Q09_P 0.429
## .CBCL_Q13_P 0.472
## .CBCL_Q17_P 0.644
## .CBCL_Q36_P 0.700
## .CBCL_Q46_P 0.601
## .CBCL_Q61_P 0.456
## .CBCL_Q62_P 0.562
## .CBCL_Q64_P 0.614
## .CBCL_Q66_P 0.488
## .CBCL_Q80_P 0.476
## .CBCL_Q85_P 0.490
## .CBCL_Q93_P 0.655
## .Com6_Distractd 0.341
## .CBCL_Q51_P 0.515
## .CBCL_Q56A_P 0.594
## .CBCL_Q56B_P 0.639
## .CBCL_Q56C_P 0.292
## .CBCL_Q56D_P 0.732
## .CBCL_Q56E_P 0.844
## .CBCL_Q56F_P 0.435
## .CBCL_Q56G_P 0.721
## .CBCL_Q56H_P 0.553
## .CBCL_Q102_P 0.409
## .CBCL_Q111_P 0.249
## .CBCL_Q42_P 0.608
## .CBCL_Q65_P 0.381
## .CBCL_Q75_P 0.646
## .BISBAS2_Y 0.691 0.025 27.389 0.000
## .BISBAS3_Y 0.642 0.025 25.313 0.000
## .BISBAS4_Y 0.601 0.027 22.527 0.000
## .BISBAS6_Y 0.710 0.025 28.966 0.000
## .BISBAS8_Y 0.531 0.019 28.550 0.000
## .BISBAS10_Y 0.598 0.018 33.871 0.000
## .BISBAS11_Y 0.755 0.019 39.864 0.000
## .BISBAS12_Y 0.457 0.018 25.146 0.000
## .BISBAS13_Y 0.548 0.018 30.882 0.000
## .BISBAS14_Y 0.416 0.017 24.816 0.000
## .BISBAS15_Y 0.438 0.018 24.850 0.000
## .BISBAS16_Y 0.671 0.019 35.213 0.000
## .BISBAS17_Y 0.629 0.020 31.589 0.000
## .BISBAS18_Y 0.628 0.019 33.591 0.000
## .BISBAS19_Y 0.715 0.021 34.845 0.000
## .BISBAS20_Y 0.643 0.020 32.671 0.000
## .NIHTBX_FLANKER 0.650 0.019 33.457 0.000
## .NIHTBX_CARDSOR 0.437 0.025 17.288 0.000
## .NIHTBX_PATTERN 0.654 0.022 29.513 0.000
## .NIHTBX_PICVOCA 0.546 0.022 25.085 0.000
## .NIHTBX_READING 0.456 0.024 19.325 0.000
## .NIHTBX_PICTURE 0.712 0.022 32.941 0.000
## .PEA_RAVLT_LD_T 0.688 0.022 31.648 0.000
## .NIHTBX_LIST_UN 0.622 0.022 28.072 0.000
## .LMT_SCR_PERC_C 0.737 0.022 33.779 0.000
## .PEA_WISCV_TRS 0.692 0.023 30.425 0.000
## .Ext 0.191 0.011 17.966 0.000
## .Int 0.236 0.012 19.598 0.000
## .Att 0.096 0.009 10.676 0.000
## .Som 0.325 0.043 7.572 0.000
## .Det 0.252 0.022 11.375 0.000
## BIS 0.307 0.027 11.332 0.000
## .RR 0.158 0.017 9.544 0.000
## .Drive 0.180 0.017 10.833 0.000
## .Fun 0.129 0.014 9.006 0.000
## .EF 0.204 0.015 14.030 0.000
## .verbal 0.229 0.018 12.908 0.000
## .memory 0.056 0.013 4.240 0.000
## .spatial 0.027 0.015 1.767 0.077
## Std.lv Std.all
## 0.923 0.923
## 1.000 1.000
## 1.000 1.000
## 0.404 0.404
## 0.699 0.699
## 0.589 0.589
## 0.568 0.568
## 0.483 0.483
## 0.457 0.457
## 0.527 0.527
## 0.524 0.524
## 0.488 0.488
## 0.427 0.427
## 0.742 0.742
## 0.511 0.511
## 0.416 0.416
## 0.397 0.397
## 0.744 0.744
## 0.669 0.669
## 0.393 0.393
## 0.390 0.390
## 0.436 0.436
## 0.456 0.456
## 0.644 0.644
## 0.636 0.636
## 0.418 0.418
## 0.657 0.657
## 0.447 0.447
## 0.413 0.413
## 0.356 0.356
## 0.504 0.504
## 0.408 0.408
## 0.418 0.418
## 0.386 0.386
## 0.634 0.634
## 0.519 0.519
## 0.570 0.570
## 0.773 0.773
## 0.328 0.328
## 0.341 0.341
## 0.358 0.358
## 0.538 0.538
## 0.519 0.519
## 0.535 0.535
## 0.444 0.444
## 0.429 0.429
## 0.472 0.472
## 0.644 0.644
## 0.700 0.700
## 0.601 0.601
## 0.456 0.456
## 0.562 0.562
## 0.614 0.614
## 0.488 0.488
## 0.476 0.476
## 0.490 0.490
## 0.655 0.655
## 0.341 0.341
## 0.515 0.515
## 0.594 0.594
## 0.639 0.639
## 0.292 0.292
## 0.732 0.732
## 0.844 0.844
## 0.435 0.435
## 0.721 0.721
## 0.553 0.553
## 0.409 0.409
## 0.249 0.249
## 0.608 0.608
## 0.381 0.381
## 0.646 0.646
## 0.691 0.692
## 0.642 0.643
## 0.601 0.602
## 0.710 0.716
## 0.531 0.533
## 0.598 0.603
## 0.755 0.754
## 0.457 0.460
## 0.548 0.545
## 0.416 0.417
## 0.438 0.437
## 0.671 0.677
## 0.629 0.627
## 0.628 0.632
## 0.715 0.721
## 0.643 0.641
## 0.650 0.657
## 0.437 0.442
## 0.654 0.657
## 0.546 0.543
## 0.456 0.456
## 0.712 0.712
## 0.688 0.687
## 0.622 0.620
## 0.737 0.740
## 0.692 0.690
## 0.320 0.320
## 0.405 0.405
## 0.206 0.206
## 0.669 0.669
## 0.426 0.426
## 1.000 1.000
## 0.341 0.341
## 0.393 0.393
## 0.344 0.344
## 0.602 0.602
## 0.498 0.498
## 0.194 0.194
## 0.106 0.106
##
## Scales y*:
## Estimate Std.Err z-value P(>|z|)
## CBCL_Q03_P 1.000
## CBCL_Q07_P 1.000
## CBCL_Q109_P 1.000
## CBCL_Q15_P 1.000
## CBCL_Q16_P 1.000
## CBCL_Q19_P 1.000
## CBCL_Q26_P 1.000
## CBCL_Q27_P 1.000
## CBCL_Q34_P 1.000
## CBCL_Q37_P 1.000
## CBCL_Q39_P 1.000
## CBCL_Q43_P 1.000
## CBCL_Q67_P 1.000
## CBCL_Q68_P 1.000
## CBCL_Q72_P 1.000
## CBCL_Q74_P 1.000
## CBCL_Q86_P 1.000
## CBCL_Q87_P 1.000
## CBCL_Q88_P 1.000
## CBCL_Q89_P 1.000
## CBCL_Q90_P 1.000
## CBCL_Q94_P 1.000
## CBCL_Q95_P 1.000
## CBCL_Q96_P 1.000
## Com1_Attack 1.000
## Com2_Destroy 1.000
## Com3_Disobeys 1.000
## Com4_Steals 1.000
## Com5_Peer 1.000
## CBCL_Q112_P 1.000
## CBCL_Q12_P 1.000
## CBCL_Q29_P 1.000
## CBCL_Q30_P 1.000
## CBCL_Q31_P 1.000
## CBCL_Q32_P 1.000
## CBCL_Q35_P 1.000
## CBCL_Q45_P 1.000
## CBCL_Q50_P 1.000
## CBCL_Q52_P 1.000
## CBCL_Q71_P 1.000
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.000
## CBCL_Q09_P 1.000
## CBCL_Q13_P 1.000
## CBCL_Q17_P 1.000
## CBCL_Q36_P 1.000
## CBCL_Q46_P 1.000
## CBCL_Q61_P 1.000
## CBCL_Q62_P 1.000
## CBCL_Q64_P 1.000
## CBCL_Q66_P 1.000
## CBCL_Q80_P 1.000
## CBCL_Q85_P 1.000
## CBCL_Q93_P 1.000
## Com6_Distractd 1.000
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 1.000
## CBCL_Q56B_P 1.000
## CBCL_Q56C_P 1.000
## CBCL_Q56D_P 1.000
## CBCL_Q56E_P 1.000
## CBCL_Q56F_P 1.000
## CBCL_Q56G_P 1.000
## CBCL_Q56H_P 1.000
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.000
## CBCL_Q42_P 1.000
## CBCL_Q65_P 1.000
## CBCL_Q75_P 1.000
## Std.lv Std.all
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
## 1.000 1.000
##
## R-Square:
## Estimate
## p 0.077
## CBCL_Q03_P 0.596
## CBCL_Q07_P 0.301
## CBCL_Q109_P 0.411
## CBCL_Q15_P 0.432
## CBCL_Q16_P 0.517
## CBCL_Q19_P 0.543
## CBCL_Q26_P 0.473
## CBCL_Q27_P 0.476
## CBCL_Q34_P 0.512
## CBCL_Q37_P 0.573
## CBCL_Q39_P 0.258
## CBCL_Q43_P 0.489
## CBCL_Q67_P 0.584
## CBCL_Q68_P 0.603
## CBCL_Q72_P 0.256
## CBCL_Q74_P 0.331
## CBCL_Q86_P 0.607
## CBCL_Q87_P 0.610
## CBCL_Q88_P 0.564
## CBCL_Q89_P 0.544
## CBCL_Q90_P 0.356
## CBCL_Q94_P 0.364
## CBCL_Q95_P 0.582
## CBCL_Q96_P 0.343
## Com1_Attack 0.553
## Com2_Destroy 0.587
## Com3_Disobeys 0.644
## Com4_Steals 0.496
## Com5_Peer 0.592
## CBCL_Q112_P 0.582
## CBCL_Q12_P 0.614
## CBCL_Q29_P 0.366
## CBCL_Q30_P 0.481
## CBCL_Q31_P 0.430
## CBCL_Q32_P 0.227
## CBCL_Q35_P 0.672
## CBCL_Q45_P 0.659
## CBCL_Q50_P 0.642
## CBCL_Q52_P 0.462
## CBCL_Q71_P 0.481
## CBCL_Q01_P 0.465
## CBCL_Q04_P 0.556
## CBCL_Q09_P 0.571
## CBCL_Q13_P 0.528
## CBCL_Q17_P 0.356
## CBCL_Q36_P 0.300
## CBCL_Q46_P 0.399
## CBCL_Q61_P 0.544
## CBCL_Q62_P 0.438
## CBCL_Q64_P 0.386
## CBCL_Q66_P 0.512
## CBCL_Q80_P 0.524
## CBCL_Q85_P 0.510
## CBCL_Q93_P 0.345
## Com6_Distractd 0.659
## CBCL_Q51_P 0.485
## CBCL_Q56A_P 0.406
## CBCL_Q56B_P 0.361
## CBCL_Q56C_P 0.708
## CBCL_Q56D_P 0.268
## CBCL_Q56E_P 0.156
## CBCL_Q56F_P 0.565
## CBCL_Q56G_P 0.279
## CBCL_Q56H_P 0.447
## CBCL_Q102_P 0.591
## CBCL_Q111_P 0.751
## CBCL_Q42_P 0.392
## CBCL_Q65_P 0.619
## CBCL_Q75_P 0.354
## BISBAS2_Y 0.308
## BISBAS3_Y 0.357
## BISBAS4_Y 0.398
## BISBAS6_Y 0.284
## BISBAS8_Y 0.467
## BISBAS10_Y 0.397
## BISBAS11_Y 0.246
## BISBAS12_Y 0.540
## BISBAS13_Y 0.455
## BISBAS14_Y 0.583
## BISBAS15_Y 0.563
## BISBAS16_Y 0.323
## BISBAS17_Y 0.373
## BISBAS18_Y 0.368
## BISBAS19_Y 0.279
## BISBAS20_Y 0.359
## NIHTBX_FLANKER 0.343
## NIHTBX_CARDSOR 0.558
## NIHTBX_PATTERN 0.343
## NIHTBX_PICVOCA 0.457
## NIHTBX_READING 0.544
## NIHTBX_PICTURE 0.288
## PEA_RAVLT_LD_T 0.313
## NIHTBX_LIST_UN 0.380
## LMT_SCR_PERC_C 0.260
## PEA_WISCV_TRS 0.310
## Ext 0.680
## Int 0.595
## Att 0.794
## Som 0.331
## Det 0.574
## RR 0.659
## Drive 0.607
## Fun 0.656
## EF 0.398
## verbal 0.502
## memory 0.806
## spatial 0.894BIS_BAS_G_PFac.Fit.score <- broom::tidy(BIS_BAS_G_PFac.Fit) %>%
filter(op == "~")
BIS_BAS_G_PFac.Fit.score %>% knitr::kable()| term | op | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox |
|---|---|---|---|---|---|---|---|---|
| p ~ BIS | ~ | 0.0921862 | 0.0467293 | 1.972772 | 0.0485216 | 0.0490575 | 0.0490575 | 0.0490575 |
| p ~ BAS | ~ | 0.1037871 | 0.0251591 | 4.125221 | 0.0000370 | 0.0996942 | 0.0996942 | 0.0996942 |
| p ~ g | ~ | -0.2365158 | 0.0234673 | -10.078527 | 0.0000000 | -0.2271888 | -0.2271888 | -0.2271888 |
BIS_BAS_G_PFac.Fit.scoreStd <- lavaan::standardizedSolution(BIS_BAS_G_PFac.Fit) %>%
filter(op == "~")
BIS_BAS_G_PFac.Fit.scoreStd %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| p | ~ | BIS | 0.0490575 | 0.0247830 | 1.979485 | 0.0477614 | 0.0004838 | 0.0976313 |
| p | ~ | BAS | 0.0996942 | 0.0240564 | 4.144183 | 0.0000341 | 0.0525445 | 0.1468439 |
| p | ~ | g | -0.2271888 | 0.0214911 | -10.571301 | 0.0000000 | -0.2693105 | -0.1850670 |
3.2.1 Plot relationship between BIS, BAS, G and P
s_BIS_BAS_G_PFac.Fit.score = add.significance.stars(BIS_BAS_G_PFac.Fit.score, cutoffs = c(0.05, 0.01, 0.001))
ax_BIS_BAS_G_PFac.Fit.score <-gsub(" ", "", paste0(round(BIS_BAS_G_PFac.Fit.score$std.all,3),s_BIS_BAS_G_PFac.Fit.score[,6]))
E <- matrix(c(
2,1,
3,1,
4,1,
1,5,
1,6,
1,7,
1,8,
1,9,
3,10,
3,11,
3,12,
4,13,
4,14,
4,15,
4,16,
3,2,
2,3,
4,2,
2,4,
4,3,
3,4
),,2,byrow=TRUE)
# aspect <- c(sapply(img, function(x) nrow(x)/ncol(x)),1)
size <- 1*c(rep(10,1),rep(8,3),rep(8,5),rep(6,7))
shape <- c(rep("circle",1),rep("circle",3),rep("circle",5),rep("circle",7))
borders = TRUE
Layout <- matrix(c(
3,10,
2,15,
2,10,
2,5,
4,16,
4,12,
4,8,
4,4,
4,0,
1,18,
1,15,
1,12,
1,9,
1,6,
1,3,
1,0
),,2,byrow=TRUE)
eCol <- "black"
labels <- list(diag_var_list_BBG[19],
diag_var_list_BBG[8],
diag_var_list_BBG[9],
diag_var_list_BBG[10],
diag_var_list_BBG[14],
diag_var_list_BBG[15],
diag_var_list_BBG[16],
diag_var_list_BBG[17],
diag_var_list_BBG[18],
diag_var_list_BBG[1],
diag_var_list_BBG[2],
diag_var_list_BBG[3],
diag_var_list_BBG[4],
diag_var_list_BBG[5],
diag_var_list_BBG[6],
diag_var_list_BBG[7]
)
eLabs <- list(
ax_BIS_BAS_G_PFac.Fit.score[1],ax_BIS_BAS_G_PFac.Fit.score[2],ax_BIS_BAS_G_PFac.Fit.score[3],"","" ,"","","","","","","","","","","","","","","",""
)
curve <- rep(0,nrow(E));curve[20:21]<-curve[16:17]<-2;curve[18:19]<-1
loopRot <- c(rep(0,2))
node_col <- rep("white",16);node_col[1]<-"darkseagreen1";node_col[2:4]<-"lightblue1";node_col[5:9]<-"darkseagreen1";node_col[10:16]<-"lightblue1"
qgraph(E,edgelist = TRUE,
vsize = size, shape = shape ,
borders = borders, layout = Layout,
edge.color = eCol, asize = 3, labels = labels,
label.scale.equal = FALSE, bidirectional = TRUE,
mar = c(6,5,9,5), esize = 2, label.cex = 1,
edge.labels = eLabs, edge.label.cex = 1.5,
bg = "transparent", edge.label.bg = "white",
loopRotation = loopRot, curve = curve, curveAll=TRUE,
width = 8, height =5,color = node_col)
3.3 Relationship between MDD PS and mediators (G, BIS, BAS)
This is to demonstrate which of the three mediators were related to the MDD PSs implicated by the first step.
MDD_PRS_BIS_BAS_G <-'
BIS =~ BISBAS2_Y + BISBAS3_Y + BISBAS4_Y + BISBAS6_Y
RR =~ BISBAS8_Y + BISBAS10_Y + BISBAS11_Y + BISBAS12_Y
Drive =~ BISBAS13_Y + BISBAS14_Y + BISBAS15_Y + BISBAS16_Y
Fun =~ BISBAS17_Y + BISBAS18_Y + BISBAS19_Y + BISBAS20_Y
BAS =~ NA*RR + Drive + Fun #estimate the loading of RR -> as opposed to using it as a marker
BAS ~~ 1*BAS #need to constrain variance to 1
#BAS ~~ 0*BIS #not othogonize them
EF =~ NIHTBX_FLANKER_UNCORRECTED + NIHTBX_CARDSORT_UNCORRECTED + NIHTBX_PATTERN_UNCORRECTED
verbal =~ NIHTBX_PICVOCAB_UNCORRECTED + NIHTBX_READING_UNCORRECTED
memory =~ NIHTBX_PICTURE_UNCORRECTED + PEA_RAVLT_LD_TRIAL_VII_TC + NIHTBX_LIST_UNCORRECTED
spatial =~ LMT_SCR_PERC_CORRECT + PEA_WISCV_TRS
g =~ NA*EF + verbal + memory + spatial #estimate the loading of EF -> as opposed to using it as a marker
g ~~ 1*g #need to constrain variance to 1
BIS ~ wrayMDDp5e_2_score
BAS ~ wrayMDDp5e_2_score
g ~ wrayMDDp5e_2_score
# BIS ~ wrayMDDp5e_2_cnt
# BAS ~ wrayMDDp5e_2_cnt
# g ~ wrayMDDp5e_2_cnt
BAS ~ pc1 + pc2 + pc3 + pc4 + SEXnum
BIS ~ pc1 + pc2 + pc3 + pc4 + SEXnum
g ~ pc1 + pc2 + pc3 + pc4 + SEXnum
'
MDD_PRS_BIS_BAS_G.Fit <- lavaan::cfa(model = MDD_PRS_BIS_BAS_G , data = MostPrsCBCLBISBAS.ScoreScaled , estimator = "MLR")
lavaan::summary(MDD_PRS_BIS_BAS_G.Fit, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 202 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 80
##
## Used Total
## Number of observations 4478 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 2330.921 2346.644
## Degrees of freedom 427 427
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 0.993
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 40352.561 40077.761
## Degrees of freedom 481 481
## P-value 0.000 0.000
## Scaling correction factor 1.007
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.952 0.952
## Tucker-Lewis Index (TLI) 0.946 0.945
##
## Robust Comparative Fit Index (CFI) 0.952
## Robust Tucker-Lewis Index (TLI) 0.946
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -152578.724 -152578.724
## Scaling correction factor 1.077
## for the MLR correction
## Loglikelihood unrestricted model (H1) -151413.263 -151413.263
## Scaling correction factor 1.006
## for the MLR correction
##
## Akaike (AIC) 305317.448 305317.448
## Bayesian (BIC) 305830.002 305830.002
## Sample-size adjusted Bayesian (BIC) 305575.794 305575.794
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.032 0.032
## 90 Percent confidence interval - lower 0.030 0.030
## 90 Percent confidence interval - upper 0.033 0.033
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.032
## 90 Percent confidence interval - lower 0.030
## 90 Percent confidence interval - upper 0.033
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.028 0.028
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## BIS =~
## BISBAS2_Y 1.000
## BISBAS3_Y 1.136 0.066 17.168 0.000
## BISBAS4_Y 1.207 0.069 17.524 0.000
## BISBAS6_Y 1.039 0.036 29.112 0.000
## RR =~
## BISBAS8_Y 1.000
## BISBAS10_Y 0.986 0.027 36.482 0.000
## BISBAS11_Y 0.830 0.031 27.174 0.000
## BISBAS12_Y 1.108 0.029 37.888 0.000
## Drive =~
## BISBAS13_Y 1.000
## BISBAS14_Y 1.074 0.023 46.868 0.000
## BISBAS15_Y 1.010 0.027 37.526 0.000
## BISBAS16_Y 0.801 0.030 26.979 0.000
## Fun =~
## BISBAS17_Y 1.000
## BISBAS18_Y 1.146 0.044 26.247 0.000
## BISBAS19_Y 0.982 0.041 23.780 0.000
## BISBAS20_Y 0.973 0.035 27.684 0.000
## BAS =~
## RR 0.557 0.015 36.291 0.000
## Drive 0.528 0.015 35.054 0.000
## Fun 0.441 0.017 25.938 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.210 0.048 25.339 0.000
## NIHTBX_PATTERN 1.003 0.043 23.563 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.052 0.038 27.980 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.057 0.038 27.586 0.000
## NIHTBX_LIST_UN 1.152 0.055 20.872 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.183 0.052 22.788 0.000
## g =~
## EF 0.354 0.017 21.073 0.000
## verbal 0.526 0.018 29.966 0.000
## memory 0.453 0.016 29.180 0.000
## spatial 0.472 0.017 28.114 0.000
## Std.lv Std.all
##
## 0.534 0.534
## 0.606 0.607
## 0.644 0.644
## 0.554 0.557
##
## 0.647 0.648
## 0.638 0.641
## 0.537 0.537
## 0.716 0.719
##
## 0.711 0.710
## 0.764 0.765
## 0.718 0.718
## 0.570 0.572
##
## 0.575 0.574
## 0.660 0.661
## 0.565 0.567
## 0.560 0.559
##
## 0.871 0.871
## 0.750 0.750
## 0.775 0.775
##
## 0.595 0.598
## 0.720 0.724
## 0.597 0.598
##
## 0.690 0.688
## 0.726 0.725
##
## 0.536 0.536
## 0.566 0.566
## 0.617 0.616
##
## 0.490 0.491
## 0.579 0.579
##
## 0.600 0.600
## 0.769 0.769
## 0.853 0.853
## 0.972 0.972
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## BIS ~
## wryMDDp5_2_scr 0.021 0.010 2.177 0.029
## BAS ~
## wryMDDp5_2_scr 0.024 0.017 1.436 0.151
## g ~
## wryMDDp5_2_scr -0.055 0.018 -2.988 0.003
## BAS ~
## pc1 -3.440 4.322 -0.796 0.426
## pc2 23.327 22.225 1.050 0.294
## pc3 2.355 1.073 2.195 0.028
## pc4 -48.178 27.246 -1.768 0.077
## SEXnum -0.282 0.036 -7.835 0.000
## BIS ~
## pc1 -0.023 2.375 -0.010 0.992
## pc2 0.878 11.945 0.073 0.941
## pc3 1.131 0.601 1.882 0.060
## pc4 -0.577 16.109 -0.036 0.971
## SEXnum 0.117 0.019 6.024 0.000
## g ~
## pc1 12.986 4.813 2.698 0.007
## pc2 -19.370 26.935 -0.719 0.472
## pc3 -1.590 1.351 -1.177 0.239
## pc4 -15.717 28.773 -0.546 0.585
## SEXnum 0.040 0.037 1.074 0.283
## Std.lv Std.all
##
## 0.039 0.039
##
## 0.024 0.024
##
## -0.055 -0.055
##
## -3.400 -0.043
## 23.061 0.056
## 2.328 0.025
## -47.629 -0.032
## -0.279 -0.139
##
## -0.044 -0.001
## 1.645 0.004
## 2.120 0.023
## -1.082 -0.001
## 0.219 0.109
##
## 12.876 0.162
## -19.206 -0.046
## -1.577 -0.017
## -15.584 -0.011
## 0.039 0.020
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .BIS ~~
## .BAS 0.240 0.015 15.906 0.000
## .g -0.016 0.012 -1.328 0.184
## .BAS ~~
## .g -0.179 0.022 -8.192 0.000
## Std.lv Std.all
##
## 0.454 0.454
## -0.031 -0.031
##
## -0.179 -0.179
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .BAS 1.000
## .g 1.000
## .BISBAS2_Y 0.713 0.022 32.050 0.000
## .BISBAS3_Y 0.631 0.021 30.215 0.000
## .BISBAS4_Y 0.584 0.022 26.335 0.000
## .BISBAS6_Y 0.684 0.022 30.978 0.000
## .BISBAS8_Y 0.577 0.018 32.962 0.000
## .BISBAS10_Y 0.585 0.018 32.978 0.000
## .BISBAS11_Y 0.714 0.022 32.998 0.000
## .BISBAS12_Y 0.480 0.016 29.586 0.000
## .BISBAS13_Y 0.499 0.016 30.661 0.000
## .BISBAS14_Y 0.414 0.015 27.108 0.000
## .BISBAS15_Y 0.485 0.015 32.150 0.000
## .BISBAS16_Y 0.667 0.022 30.896 0.000
## .BISBAS17_Y 0.673 0.017 38.648 0.000
## .BISBAS18_Y 0.559 0.018 30.356 0.000
## .BISBAS19_Y 0.673 0.018 37.331 0.000
## .BISBAS20_Y 0.690 0.019 37.242 0.000
## .NIHTBX_FLANKER 0.635 0.021 29.993 0.000
## .NIHTBX_CARDSOR 0.472 0.023 20.387 0.000
## .NIHTBX_PATTERN 0.639 0.021 31.124 0.000
## .NIHTBX_PICVOCA 0.531 0.022 24.348 0.000
## .NIHTBX_READING 0.474 0.023 20.964 0.000
## .NIHTBX_PICTURE 0.712 0.019 37.269 0.000
## .PEA_RAVLT_LD_T 0.682 0.021 32.553 0.000
## .NIHTBX_LIST_UN 0.623 0.022 28.157 0.000
## .LMT_SCR_PERC_C 0.755 0.020 37.170 0.000
## .PEA_WISCV_TRS 0.667 0.023 29.344 0.000
## .BIS 0.281 0.022 12.592 0.000
## .RR 0.101 0.012 8.725 0.000
## .Drive 0.221 0.014 15.368 0.000
## .Fun 0.132 0.011 12.325 0.000
## .EF 0.227 0.015 14.691 0.000
## .verbal 0.195 0.016 12.345 0.000
## .memory 0.078 0.012 6.768 0.000
## .spatial 0.013 0.011 1.169 0.242
## Std.lv Std.all
## 0.977 0.977
## 0.983 0.983
## 0.713 0.715
## 0.631 0.632
## 0.584 0.585
## 0.684 0.690
## 0.577 0.580
## 0.585 0.590
## 0.714 0.712
## 0.480 0.483
## 0.499 0.496
## 0.414 0.415
## 0.485 0.484
## 0.667 0.672
## 0.673 0.670
## 0.559 0.563
## 0.673 0.678
## 0.690 0.688
## 0.635 0.642
## 0.472 0.476
## 0.639 0.642
## 0.531 0.527
## 0.474 0.474
## 0.712 0.712
## 0.682 0.680
## 0.623 0.620
## 0.755 0.759
## 0.667 0.665
## 0.986 0.986
## 0.242 0.242
## 0.437 0.437
## 0.399 0.399
## 0.640 0.640
## 0.409 0.409
## 0.273 0.273
## 0.056 0.056
##
## R-Square:
## Estimate
## BAS 0.023
## g 0.017
## BISBAS2_Y 0.285
## BISBAS3_Y 0.368
## BISBAS4_Y 0.415
## BISBAS6_Y 0.310
## BISBAS8_Y 0.420
## BISBAS10_Y 0.410
## BISBAS11_Y 0.288
## BISBAS12_Y 0.517
## BISBAS13_Y 0.504
## BISBAS14_Y 0.585
## BISBAS15_Y 0.516
## BISBAS16_Y 0.328
## BISBAS17_Y 0.330
## BISBAS18_Y 0.437
## BISBAS19_Y 0.322
## BISBAS20_Y 0.312
## NIHTBX_FLANKER 0.358
## NIHTBX_CARDSOR 0.524
## NIHTBX_PATTERN 0.358
## NIHTBX_PICVOCA 0.473
## NIHTBX_READING 0.526
## NIHTBX_PICTURE 0.288
## PEA_RAVLT_LD_T 0.320
## NIHTBX_LIST_UN 0.380
## LMT_SCR_PERC_C 0.241
## PEA_WISCV_TRS 0.335
## BIS 0.014
## RR 0.758
## Drive 0.563
## Fun 0.601
## EF 0.360
## verbal 0.591
## memory 0.727
## spatial 0.944MDD_PRS_BIS_BAS_G.Fit.p5e_2 <- broom::tidy(MDD_PRS_BIS_BAS_G.Fit) %>%
filter(op == "~") %>%
filter(str_detect(term, "score"))
MDD_PRS_BIS_BAS_G.Fit.p5e_2 %>% knitr::kable()| term | op | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox |
|---|---|---|---|---|---|---|---|---|
| BIS ~ wrayMDDp5e_2_score | ~ | 0.0207576 | 0.0095345 | 2.177103 | 0.0294729 | 0.0388996 | 0.0390986 | 0.0388996 |
| BAS ~ wrayMDDp5e_2_score | ~ | 0.0244981 | 0.0170644 | 1.435627 | 0.1511085 | 0.0242187 | 0.0243426 | 0.0242187 |
| g ~ wrayMDDp5e_2_score | ~ | -0.0552574 | 0.0184952 | -2.987671 | 0.0028111 | -0.0547896 | -0.0550699 | -0.0547896 |
MDD_PRS_BIS_BAS_G.Fit.p5e_2Std <- lavaan::standardizedSolution(MDD_PRS_BIS_BAS_G.Fit) %>%
filter(op == "~") %>%
filter(str_detect(rhs, "score"))
MDD_PRS_BIS_BAS_G.Fit.p5e_2Std %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| BIS | ~ | wrayMDDp5e_2_score | 0.0390986 | 0.0178838 | 2.186257 | 0.0287968 | 0.0040470 | 0.0741502 |
| BAS | ~ | wrayMDDp5e_2_score | 0.0243426 | 0.0169473 | 1.436369 | 0.1508973 | -0.0088735 | 0.0575588 |
| g | ~ | wrayMDDp5e_2_score | -0.0550699 | 0.0183794 | -2.996279 | 0.0027330 | -0.0910929 | -0.0190469 |
3.3.1 Plot relationship between MDD PS and mediators (G, BIS, BAS)
Plot_PRS_BIS_BAS_G= function(var_name, Prs_number, edge_labels){
##label the axis
s = add.significance.stars(edge_labels, cutoffs = c(0.05, 0.01, 0.001))
ax <-gsub(" ","",paste0(round(edge_labels$std.all,3),s[,6]))
### specify edge and node
E <- matrix(c(
4,1,
4,2,
4,3,
5,1,
5,2,
5,3,
2,1,
1,2,
1,3,
3,1,
2,3,
3,2,
1,6,
1,7,
1,8,
3,9,
3,10,
3,11,
3,12,
5,4,
4,5
),,2,byrow=TRUE)
# aspect <- c(sapply(img, function(x) nrow(x)/ncol(x)),1)
size <- 1*c(rep(10,3),rep(8,2),rep(6,7))
shape <- c(rep("circle",3),rep("rectangle",2),rep("circle",7))
borders = TRUE
Layout <- matrix(c(
3,10,
3,15,
3,5,
1,10,
2,1,
4,18,
4,15,
4,12,
4,9,
4,6,
4,3,
4,0
),,2,byrow=TRUE)
eCol <- rep(0,nrow(E))
eCol[1:3] <- "black";eCol[4:6]<-"grey";eCol[7:nrow(E)] <- "black";
labels <- list(var_name[9],
var_name[8],
var_name[10],
var_name[Prs_number],
var_name[13],
var_name[1],
var_name[2],
var_name[3],
var_name[4],
var_name[5],
var_name[6],
var_name[7]
)
eLabs <- list(
ax[1],ax[2],ax[3],"","" ,"","","","","","","","","","","","","","","",""
)
curve <- rep(0,nrow(E))
curve[7:8] <- 3;curve[9:10] <- 3;curve[11:12] <- 2;curve[20:21]<-1
loopRot <- c(rep(0,2))
node_col <- rep("white",12);node_col <- rep("lightblue1",3);node_col[4:5]<-rep("wheat1",2);node_col [6:12]<-rep("lightblue1",7)
qgraph(E,edgelist = TRUE,
vsize = size, shape = shape ,
borders = borders, layout = Layout,
edge.color = eCol, asize = 3, labels = labels,
label.scale.equal = FALSE, bidirectional = TRUE,
mar = c(6,5,9,5), esize = 2, label.cex = 1,
edge.labels = eLabs, edge.label.cex = 1.5,
bg = "transparent", edge.label.bg = "white",
loopRotation = loopRot, curve = curve, curveAll=TRUE,
width = 8, height = 5,color = node_col)
}
MDD_PRS_BIS_BAS_G.Fit.p5e_2_Reorderd <- MDD_PRS_BIS_BAS_G.Fit.p5e_2 %>%
slice(match(c("BAS ~ wrayMDDp5e_2_score","BIS ~ wrayMDDp5e_2_score","g ~ wrayMDDp5e_2_score"), term))
Plot_PRS_BIS_BAS_G(var_name=diag_var_list_BBG, Prs_number=11, edge_labels=MDD_PRS_BIS_BAS_G.Fit.p5e_2_Reorderd)
3.4 Relationship between ADHD PRS, G, BIS, BAS
This is to demonstrate which of the three mediators were related to ADHD PS implicated by the first step.
ADHD_PRS_BIS_BAS_G <-'
BIS =~ BISBAS2_Y + BISBAS3_Y + BISBAS4_Y + BISBAS6_Y
RR =~ BISBAS8_Y + BISBAS10_Y + BISBAS11_Y + BISBAS12_Y
Drive =~ BISBAS13_Y + BISBAS14_Y + BISBAS15_Y + BISBAS16_Y
Fun =~ BISBAS17_Y + BISBAS18_Y + BISBAS19_Y + BISBAS20_Y
BAS =~ NA*RR + Drive + Fun #estimate the loading of RR -> as opposed to using it as a marker
BAS ~~ 1*BAS #need to constrain variance to 1
#BAS ~~ 0*BIS #not othogonize them
EF =~ NIHTBX_FLANKER_UNCORRECTED + NIHTBX_CARDSORT_UNCORRECTED + NIHTBX_PATTERN_UNCORRECTED
verbal =~ NIHTBX_PICVOCAB_UNCORRECTED + NIHTBX_READING_UNCORRECTED
memory =~ NIHTBX_PICTURE_UNCORRECTED + PEA_RAVLT_LD_TRIAL_VII_TC + NIHTBX_LIST_UNCORRECTED
spatial =~ LMT_SCR_PERC_CORRECT + PEA_WISCV_TRS
g =~ NA*EF + verbal + memory + spatial #estimate the loading of EF -> as opposed to using it as a marker
g ~~ 1*g #need to constrain variance to 1
BIS ~ ADHDp5e_2_score
BAS ~ ADHDp5e_2_score
g ~ ADHDp5e_2_score
# BIS ~ ADHDp5e_2_cnt
# BAS ~ ADHDp5e_2_cnt
# g ~ ADHDp5e_2_cnt
BAS ~ pc1 + pc2 + pc3 + pc4 + SEXnum
BIS ~ pc1 + pc2 + pc3 + pc4 + SEXnum
g ~ pc1 + pc2 + pc3 + pc4 + SEXnum
'
ADHD_PRS_BIS_BAS_G.Fit <- lavaan::cfa(model = ADHD_PRS_BIS_BAS_G , data = MostPrsCBCLBISBAS.ScoreScaled , estimator = "MLR")
lavaan::summary(ADHD_PRS_BIS_BAS_G.Fit, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 203 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 80
##
## Used Total
## Number of observations 4478 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 2341.434 2360.771
## Degrees of freedom 427 427
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 0.992
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 40399.116 40174.988
## Degrees of freedom 481 481
## P-value 0.000 0.000
## Scaling correction factor 1.006
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.952 0.951
## Tucker-Lewis Index (TLI) 0.946 0.945
##
## Robust Comparative Fit Index (CFI) 0.952
## Robust Tucker-Lewis Index (TLI) 0.946
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -152564.039 -152564.039
## Scaling correction factor 1.077
## for the MLR correction
## Loglikelihood unrestricted model (H1) -151393.322 -151393.322
## Scaling correction factor 1.005
## for the MLR correction
##
## Akaike (AIC) 305288.077 305288.077
## Bayesian (BIC) 305800.632 305800.632
## Sample-size adjusted Bayesian (BIC) 305546.423 305546.423
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.032 0.032
## 90 Percent confidence interval - lower 0.030 0.031
## 90 Percent confidence interval - upper 0.033 0.033
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.032
## 90 Percent confidence interval - lower 0.030
## 90 Percent confidence interval - upper 0.033
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.028 0.028
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## BIS =~
## BISBAS2_Y 1.000
## BISBAS3_Y 1.138 0.066 17.167 0.000
## BISBAS4_Y 1.206 0.069 17.553 0.000
## BISBAS6_Y 1.039 0.036 29.129 0.000
## RR =~
## BISBAS8_Y 1.000
## BISBAS10_Y 0.986 0.027 36.496 0.000
## BISBAS11_Y 0.830 0.031 27.182 0.000
## BISBAS12_Y 1.108 0.029 37.908 0.000
## Drive =~
## BISBAS13_Y 1.000
## BISBAS14_Y 1.074 0.023 46.866 0.000
## BISBAS15_Y 1.010 0.027 37.505 0.000
## BISBAS16_Y 0.801 0.030 26.972 0.000
## Fun =~
## BISBAS17_Y 1.000
## BISBAS18_Y 1.146 0.044 26.255 0.000
## BISBAS19_Y 0.982 0.041 23.784 0.000
## BISBAS20_Y 0.973 0.035 27.680 0.000
## BAS =~
## RR 0.556 0.015 36.301 0.000
## Drive 0.526 0.015 35.004 0.000
## Fun 0.440 0.017 25.929 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.212 0.048 25.319 0.000
## NIHTBX_PATTERN 1.003 0.043 23.568 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.055 0.038 27.967 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.057 0.038 27.585 0.000
## NIHTBX_LIST_UN 1.154 0.055 20.877 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.180 0.052 22.761 0.000
## g =~
## EF 0.352 0.017 21.025 0.000
## verbal 0.523 0.018 29.792 0.000
## memory 0.452 0.015 29.148 0.000
## spatial 0.470 0.017 28.103 0.000
## Std.lv Std.all
##
## 0.534 0.534
## 0.607 0.608
## 0.644 0.644
## 0.554 0.557
##
## 0.647 0.648
## 0.638 0.640
## 0.537 0.537
## 0.716 0.719
##
## 0.711 0.710
## 0.764 0.765
## 0.719 0.718
## 0.570 0.572
##
## 0.575 0.574
## 0.659 0.661
## 0.565 0.567
## 0.560 0.559
##
## 0.872 0.872
## 0.750 0.750
## 0.774 0.774
##
## 0.595 0.598
## 0.721 0.724
## 0.596 0.598
##
## 0.689 0.687
## 0.727 0.726
##
## 0.535 0.536
## 0.566 0.565
## 0.618 0.617
##
## 0.490 0.492
## 0.579 0.578
##
## 0.599 0.599
## 0.769 0.769
## 0.854 0.854
## 0.971 0.971
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## BIS ~
## ADHDp5e_2_scor 0.005 0.010 0.494 0.621
## BAS ~
## ADHDp5e_2_scor 0.070 0.018 3.983 0.000
## g ~
## ADHDp5e_2_scor -0.102 0.018 -5.658 0.000
## BAS ~
## pc1 -3.261 4.278 -0.762 0.446
## pc2 22.883 22.008 1.040 0.298
## pc3 2.485 1.069 2.325 0.020
## pc4 -49.853 27.300 -1.826 0.068
## SEXnum -0.285 0.036 -7.918 0.000
## BIS ~
## pc1 0.128 2.361 0.054 0.957
## pc2 0.759 11.899 0.064 0.949
## pc3 1.137 0.602 1.889 0.059
## pc4 -1.222 16.141 -0.076 0.940
## SEXnum 0.116 0.019 5.988 0.000
## g ~
## pc1 12.601 4.785 2.633 0.008
## pc2 -18.501 26.847 -0.689 0.491
## pc3 -1.794 1.348 -1.330 0.183
## pc4 -13.446 28.879 -0.466 0.642
## SEXnum 0.043 0.037 1.176 0.240
## Std.lv Std.all
##
## 0.009 0.009
##
## 0.069 0.069
##
## -0.101 -0.100
##
## -3.217 -0.041
## 22.574 0.055
## 2.451 0.026
## -49.180 -0.033
## -0.281 -0.140
##
## 0.239 0.003
## 1.422 0.003
## 2.131 0.023
## -2.291 -0.002
## 0.218 0.109
##
## 12.450 0.157
## -18.279 -0.044
## -1.772 -0.019
## -13.285 -0.009
## 0.043 0.021
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .BIS ~~
## .BAS 0.241 0.015 15.964 0.000
## .g -0.017 0.012 -1.381 0.167
## .BAS ~~
## .g -0.174 0.022 -7.937 0.000
## Std.lv Std.all
##
## 0.455 0.455
## -0.032 -0.032
##
## -0.174 -0.174
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .BAS 1.000
## .g 1.000
## .BISBAS2_Y 0.713 0.022 32.063 0.000
## .BISBAS3_Y 0.630 0.021 30.146 0.000
## .BISBAS4_Y 0.584 0.022 26.433 0.000
## .BISBAS6_Y 0.684 0.022 31.019 0.000
## .BISBAS8_Y 0.577 0.018 32.962 0.000
## .BISBAS10_Y 0.585 0.018 32.995 0.000
## .BISBAS11_Y 0.714 0.022 32.998 0.000
## .BISBAS12_Y 0.480 0.016 29.584 0.000
## .BISBAS13_Y 0.499 0.016 30.657 0.000
## .BISBAS14_Y 0.414 0.015 27.107 0.000
## .BISBAS15_Y 0.484 0.015 32.127 0.000
## .BISBAS16_Y 0.667 0.022 30.904 0.000
## .BISBAS17_Y 0.673 0.017 38.653 0.000
## .BISBAS18_Y 0.559 0.018 30.375 0.000
## .BISBAS19_Y 0.673 0.018 37.314 0.000
## .BISBAS20_Y 0.690 0.019 37.234 0.000
## .NIHTBX_FLANKER 0.635 0.021 30.001 0.000
## .NIHTBX_CARDSOR 0.471 0.023 20.354 0.000
## .NIHTBX_PATTERN 0.640 0.021 31.141 0.000
## .NIHTBX_PICVOCA 0.532 0.022 24.424 0.000
## .NIHTBX_READING 0.472 0.023 20.922 0.000
## .NIHTBX_PICTURE 0.712 0.019 37.325 0.000
## .PEA_RAVLT_LD_T 0.682 0.021 32.625 0.000
## .NIHTBX_LIST_UN 0.623 0.022 28.125 0.000
## .LMT_SCR_PERC_C 0.755 0.020 37.125 0.000
## .PEA_WISCV_TRS 0.668 0.023 29.386 0.000
## .BIS 0.281 0.022 12.595 0.000
## .RR 0.101 0.012 8.687 0.000
## .Drive 0.221 0.014 15.398 0.000
## .Fun 0.133 0.011 12.344 0.000
## .EF 0.227 0.015 14.668 0.000
## .verbal 0.194 0.016 12.364 0.000
## .memory 0.078 0.012 6.713 0.000
## .spatial 0.014 0.012 1.206 0.228
## Std.lv Std.all
## 0.973 0.973
## 0.976 0.976
## 0.713 0.715
## 0.630 0.631
## 0.584 0.585
## 0.684 0.690
## 0.577 0.580
## 0.585 0.590
## 0.714 0.712
## 0.480 0.483
## 0.499 0.496
## 0.414 0.415
## 0.484 0.484
## 0.667 0.673
## 0.673 0.670
## 0.559 0.563
## 0.673 0.678
## 0.690 0.688
## 0.635 0.643
## 0.471 0.476
## 0.640 0.643
## 0.532 0.529
## 0.472 0.472
## 0.712 0.713
## 0.682 0.680
## 0.623 0.620
## 0.755 0.758
## 0.668 0.666
## 0.987 0.987
## 0.240 0.240
## 0.438 0.438
## 0.400 0.400
## 0.641 0.641
## 0.409 0.409
## 0.271 0.271
## 0.058 0.058
##
## R-Square:
## Estimate
## BAS 0.027
## g 0.024
## BISBAS2_Y 0.285
## BISBAS3_Y 0.369
## BISBAS4_Y 0.415
## BISBAS6_Y 0.310
## BISBAS8_Y 0.420
## BISBAS10_Y 0.410
## BISBAS11_Y 0.288
## BISBAS12_Y 0.517
## BISBAS13_Y 0.504
## BISBAS14_Y 0.585
## BISBAS15_Y 0.516
## BISBAS16_Y 0.327
## BISBAS17_Y 0.330
## BISBAS18_Y 0.437
## BISBAS19_Y 0.322
## BISBAS20_Y 0.312
## NIHTBX_FLANKER 0.357
## NIHTBX_CARDSOR 0.524
## NIHTBX_PATTERN 0.357
## NIHTBX_PICVOCA 0.471
## NIHTBX_READING 0.528
## NIHTBX_PICTURE 0.287
## PEA_RAVLT_LD_T 0.320
## NIHTBX_LIST_UN 0.380
## LMT_SCR_PERC_C 0.242
## PEA_WISCV_TRS 0.334
## BIS 0.013
## RR 0.760
## Drive 0.562
## Fun 0.600
## EF 0.359
## verbal 0.591
## memory 0.729
## spatial 0.942ADHD_PRS_BIS_BAS_G.Fit.p5e_2 <- broom::tidy(ADHD_PRS_BIS_BAS_G.Fit) %>%
filter(op == "~") %>%
filter(str_detect(term, "score"))
ADHD_PRS_BIS_BAS_G.Fit.p5e_2 %>% knitr::kable()| term | op | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox |
|---|---|---|---|---|---|---|---|---|
| BIS ~ ADHDp5e_2_score | ~ | 0.0049448 | 0.0100054 | 0.4942181 | 0.6211521 | 0.0092685 | 0.0092186 | 0.0092685 |
| BAS ~ ADHDp5e_2_score | ~ | 0.0699584 | 0.0175652 | 3.9827864 | 0.0000681 | 0.0690149 | 0.0686436 | 0.0690149 |
| g ~ ADHDp5e_2_score | ~ | -0.1017820 | 0.0179880 | -5.6583319 | 0.0000000 | -0.1005608 | -0.1000197 | -0.1005608 |
ADHD_PRS_BIS_BAS_G.Fit.p5e_2Std <- lavaan::standardizedSolution(ADHD_PRS_BIS_BAS_G.Fit) %>%
filter(op == "~") %>%
filter(str_detect(rhs, "score"))
ADHD_PRS_BIS_BAS_G.Fit.p5e_2Std %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| BIS | ~ | ADHDp5e_2_score | 0.0092186 | 0.0186407 | 0.4945418 | 0.6209236 | -0.0273165 | 0.0457537 |
| BAS | ~ | ADHDp5e_2_score | 0.0686436 | 0.0171585 | 4.0005513 | 0.0000632 | 0.0350135 | 0.1022737 |
| g | ~ | ADHDp5e_2_score | -0.1000197 | 0.0175052 | -5.7137125 | 0.0000000 | -0.1343292 | -0.0657101 |
3.4.1 Plot relationship between ADHD PRS, G, BIS, BAS
ADHD_PRS_BIS_BAS_G.Fit.p5e_2_Reorderd <- ADHD_PRS_BIS_BAS_G.Fit.p5e_2 %>%
slice(match(c("BAS ~ ADHDp5e_2_score","BIS ~ ADHDp5e_2_score","g ~ ADHDp5e_2_score"), term))
Plot_PRS_BIS_BAS_G(var_name=diag_var_list_BBG, Prs_number=12, edge_labels=ADHD_PRS_BIS_BAS_G.Fit.p5e_2_Reorderd)
3.5 Mediation: MDD PS -> BIS/G -> P
we examined the extent to which the relationship between MDD PS and the P-Factor was accounted for by the mediators implicated by steps two and three. Here we treated MDD PS (step one) as an independent variable, G (steps two and three) as mediators and the P-Factor as a dependent variable.
MDDBISGMediation <-'
#2nd order latent cbcl
Ext =~ CBCL_Q03_P + CBCL_Q07_P + CBCL_Q109_P + CBCL_Q15_P + CBCL_Q16_P + CBCL_Q19_P + CBCL_Q26_P + CBCL_Q27_P + CBCL_Q34_P + CBCL_Q37_P + CBCL_Q39_P + CBCL_Q43_P + CBCL_Q67_P + CBCL_Q68_P + CBCL_Q72_P + CBCL_Q74_P + CBCL_Q86_P + CBCL_Q87_P + CBCL_Q88_P + CBCL_Q89_P + CBCL_Q90_P + CBCL_Q94_P + CBCL_Q95_P + CBCL_Q96_P + Com1_Attack + Com2_Destroy + Com3_Disobeys + Com4_Steals + Com5_Peer
Int =~ CBCL_Q112_P + CBCL_Q12_P + CBCL_Q29_P + CBCL_Q30_P + CBCL_Q31_P + CBCL_Q32_P + CBCL_Q35_P + CBCL_Q45_P + CBCL_Q50_P + CBCL_Q52_P + CBCL_Q71_P
Att =~ CBCL_Q01_P + CBCL_Q04_P + CBCL_Q09_P + CBCL_Q13_P + CBCL_Q17_P + CBCL_Q36_P + CBCL_Q46_P + CBCL_Q61_P + CBCL_Q62_P + CBCL_Q64_P + CBCL_Q66_P + CBCL_Q80_P + CBCL_Q85_P + CBCL_Q93_P + Com6_Distracted
Som =~ CBCL_Q51_P + CBCL_Q56A_P + CBCL_Q56B_P + CBCL_Q56C_P + CBCL_Q56D_P + CBCL_Q56E_P + CBCL_Q56F_P + CBCL_Q56G_P + CBCL_Q56H_P
Det =~ CBCL_Q102_P + CBCL_Q111_P + CBCL_Q42_P + CBCL_Q65_P + CBCL_Q75_P
p =~ NA*Ext + Int + Att + Som + Det #estimate the loading of Ext -> as opposed to using it as a marker
p ~~ 1*p #need to constrain variance to 1
# cog g
EF =~ NIHTBX_FLANKER_UNCORRECTED + NIHTBX_CARDSORT_UNCORRECTED + NIHTBX_PATTERN_UNCORRECTED
verbal =~ NIHTBX_PICVOCAB_UNCORRECTED + NIHTBX_READING_UNCORRECTED
memory =~ NIHTBX_PICTURE_UNCORRECTED + PEA_RAVLT_LD_TRIAL_VII_TC + NIHTBX_LIST_UNCORRECTED
spatial =~ LMT_SCR_PERC_CORRECT + PEA_WISCV_TRS
g =~ NA*EF + verbal + memory + spatial #estimate the loading of EF -> as opposed to using it as a marker
g ~~ 1*g #need to constrain variance to 1
#latent bis
BIS =~ BISBAS2_Y + BISBAS3_Y + BISBAS4_Y + BISBAS6_Y
# mediation
# Y ˜ b*M + c*X
# M ˜ a*X
#regression
# outcome model
p ~ bG*g
p ~ bBIS*BIS
p ~ c*wrayMDDp5e_2_score
# p ~ wrayMDDp5e_2_cnt
p ~ pc1 + pc2 + pc3 + pc4 + SEXnum
# mediator models
g ~ aG*wrayMDDp5e_2_score
BIS ~ aBIS*wrayMDDp5e_2_score
# g ~ wrayMDDp5e_2_cnt
g ~ pc1 + pc2 + pc3 + pc4 + SEXnum
# BIS ~ wrayMDDp5e_2_cnt
BIS ~ pc1 + pc2 + pc3 + pc4 + SEXnum
# covariation between mediators
g ~~ BIS
# indirect effects (IDE)
indirectCogG := aG*bG
indirectBIS := aBIS*bBIS
sumIndirect := (aG*bG) + (aBIS*bBIS)
# direct
direct := c
# total effect
total := c + (aG*bG) + (aBIS*bBIS)
propCogG := indirectCogG/total
propBIS := indirectBIS/total
propSumIndirect := sumIndirect/total
'
MDDBISGMediation.Fit <- lavaan::cfa(model = MDDBISGMediation , data = MostPrsCBCLBISBAS.ScoreScaled , estimator = "MLR")
lavaan::summary(MDDBISGMediation.Fit , standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 333 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 196
##
## Used Total
## Number of observations 4478 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 25071.103 16643.415
## Degrees of freedom 3788 3788
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.506
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 107589.102 71031.258
## Degrees of freedom 3901 3901
## P-value 0.000 0.000
## Scaling correction factor 1.515
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.795 0.809
## Tucker-Lewis Index (TLI) 0.789 0.803
##
## Robust Comparative Fit Index (CFI) 0.810
## Robust Tucker-Lewis Index (TLI) 0.804
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -156956.723 -156956.723
## Scaling correction factor 5.925
## for the MLR correction
## Loglikelihood unrestricted model (H1) -144421.171 -144421.171
## Scaling correction factor 1.724
## for the MLR correction
##
## Akaike (AIC) 314305.446 314305.446
## Bayesian (BIC) 315561.204 315561.204
## Sample-size adjusted Bayesian (BIC) 314938.393 314938.393
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.035 0.028
## 90 Percent confidence interval - lower 0.035 0.027
## 90 Percent confidence interval - upper 0.036 0.028
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.034
## 90 Percent confidence interval - lower 0.033
## 90 Percent confidence interval - upper 0.034
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.041 0.041
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## Ext =~
## CBCL_Q03_P 1.000
## CBCL_Q07_P 0.502 0.025 20.351 0.000
## CBCL_Q109_P 0.590 0.024 25.058 0.000
## CBCL_Q15_P 0.054 0.011 5.140 0.000
## CBCL_Q16_P 0.336 0.022 15.292 0.000
## CBCL_Q19_P 0.693 0.025 27.862 0.000
## CBCL_Q26_P 0.452 0.024 19.054 0.000
## CBCL_Q27_P 0.612 0.025 24.576 0.000
## CBCL_Q34_P 0.245 0.022 11.196 0.000
## CBCL_Q37_P 0.176 0.019 9.235 0.000
## CBCL_Q39_P 0.183 0.018 10.258 0.000
## CBCL_Q43_P 0.601 0.024 25.080 0.000
## CBCL_Q67_P 0.033 0.010 3.502 0.000
## CBCL_Q68_P 0.497 0.023 21.467 0.000
## CBCL_Q72_P 0.023 0.006 3.648 0.000
## CBCL_Q74_P 0.556 0.026 21.070 0.000
## CBCL_Q86_P 0.855 0.022 38.957 0.000
## CBCL_Q87_P 0.662 0.025 26.327 0.000
## CBCL_Q88_P 0.488 0.025 19.550 0.000
## CBCL_Q89_P 0.168 0.020 8.449 0.000
## CBCL_Q90_P 0.267 0.024 11.356 0.000
## CBCL_Q94_P 0.322 0.023 14.106 0.000
## CBCL_Q95_P 0.821 0.023 36.470 0.000
## CBCL_Q96_P 0.042 0.012 3.365 0.001
## Com1_Attack 0.326 0.021 15.553 0.000
## Com2_Destroy 0.244 0.020 12.414 0.000
## Com3_Disobeys 0.680 0.019 35.148 0.000
## Com4_Steals 0.212 0.019 11.142 0.000
## Com5_Peer 0.454 0.022 20.887 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.398 0.027 14.913 0.000
## CBCL_Q29_P 0.540 0.026 21.040 0.000
## CBCL_Q30_P 0.210 0.021 9.793 0.000
## CBCL_Q31_P 0.355 0.024 14.770 0.000
## CBCL_Q32_P 0.655 0.029 22.883 0.000
## CBCL_Q35_P 0.545 0.027 19.902 0.000
## CBCL_Q45_P 0.750 0.026 29.311 0.000
## CBCL_Q50_P 0.891 0.022 40.840 0.000
## CBCL_Q52_P 0.360 0.024 14.806 0.000
## CBCL_Q71_P 0.846 0.028 30.401 0.000
## Att =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.478 0.067 22.078 0.000
## CBCL_Q09_P 1.323 0.063 20.956 0.000
## CBCL_Q13_P 0.468 0.039 12.108 0.000
## CBCL_Q17_P 1.156 0.063 18.440 0.000
## CBCL_Q36_P 0.641 0.043 14.900 0.000
## CBCL_Q46_P 0.665 0.047 14.061 0.000
## CBCL_Q61_P 0.793 0.043 18.474 0.000
## CBCL_Q62_P 0.734 0.042 17.288 0.000
## CBCL_Q64_P 0.737 0.041 17.929 0.000
## CBCL_Q66_P 0.501 0.042 12.073 0.000
## CBCL_Q80_P 0.607 0.043 14.199 0.000
## CBCL_Q85_P 0.431 0.034 12.798 0.000
## CBCL_Q93_P 0.985 0.056 17.697 0.000
## Com6_Distractd 1.730 0.073 23.603 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.855 0.323 8.831 0.000
## CBCL_Q56B_P 3.774 0.401 9.420 0.000
## CBCL_Q56C_P 4.161 0.476 8.744 0.000
## CBCL_Q56D_P 0.564 0.105 5.387 0.000
## CBCL_Q56E_P 1.481 0.214 6.920 0.000
## CBCL_Q56F_P 4.949 0.550 9.005 0.000
## CBCL_Q56G_P 1.123 0.164 6.832 0.000
## CBCL_Q56H_P 0.683 0.134 5.094 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.245 0.088 14.128 0.000
## CBCL_Q42_P 1.701 0.136 12.478 0.000
## CBCL_Q65_P 0.970 0.101 9.600 0.000
## CBCL_Q75_P 1.570 0.140 11.220 0.000
## p =~
## Ext 0.322 0.009 35.502 0.000
## Int 0.295 0.010 29.203 0.000
## Att 0.208 0.010 21.872 0.000
## Som 0.032 0.004 7.887 0.000
## Det 0.094 0.008 11.151 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.209 0.048 25.435 0.000
## NIHTBX_PATTERN 1.002 0.042 23.614 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.063 0.038 27.650 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.054 0.038 27.549 0.000
## NIHTBX_LIST_UN 1.146 0.055 20.994 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.168 0.051 22.882 0.000
## g =~
## EF 0.359 0.017 21.299 0.000
## verbal 0.514 0.017 29.387 0.000
## memory 0.458 0.016 29.464 0.000
## spatial 0.476 0.017 28.404 0.000
## BIS =~
## BISBAS2_Y 1.000
## BISBAS3_Y 1.163 0.076 15.243 0.000
## BISBAS4_Y 1.230 0.080 15.285 0.000
## BISBAS6_Y 1.035 0.036 28.500 0.000
## Std.lv Std.all
##
## 0.428 0.661
## 0.215 0.432
## 0.253 0.489
## 0.023 0.241
## 0.144 0.519
## 0.297 0.575
## 0.194 0.527
## 0.262 0.549
## 0.105 0.417
## 0.075 0.433
## 0.078 0.305
## 0.257 0.562
## 0.014 0.219
## 0.213 0.585
## 0.010 0.132
## 0.238 0.447
## 0.366 0.651
## 0.284 0.615
## 0.209 0.540
## 0.072 0.385
## 0.114 0.401
## 0.138 0.430
## 0.351 0.653
## 0.018 0.193
## 0.140 0.531
## 0.105 0.484
## 0.291 0.653
## 0.091 0.427
## 0.194 0.537
##
## 0.408 0.692
## 0.163 0.436
## 0.220 0.495
## 0.086 0.373
## 0.145 0.464
## 0.267 0.472
## 0.222 0.563
## 0.306 0.637
## 0.364 0.716
## 0.147 0.497
## 0.345 0.560
##
## 0.253 0.533
## 0.374 0.618
## 0.335 0.599
## 0.119 0.469
## 0.293 0.539
## 0.162 0.382
## 0.168 0.447
## 0.201 0.534
## 0.186 0.486
## 0.187 0.441
## 0.127 0.442
## 0.154 0.515
## 0.109 0.431
## 0.249 0.455
## 0.438 0.709
##
## 0.064 0.304
## 0.182 0.429
## 0.241 0.481
## 0.266 0.699
## 0.036 0.180
## 0.095 0.232
## 0.316 0.657
## 0.072 0.349
## 0.044 0.248
##
## 0.138 0.488
## 0.172 0.640
## 0.235 0.554
## 0.134 0.461
## 0.217 0.472
##
## 0.781 0.781
## 0.750 0.750
## 0.854 0.854
## 0.527 0.527
## 0.708 0.708
##
## 0.595 0.599
## 0.720 0.723
## 0.597 0.598
##
## 0.686 0.684
## 0.729 0.729
##
## 0.537 0.538
## 0.567 0.566
## 0.616 0.615
##
## 0.493 0.494
## 0.576 0.575
##
## 0.608 0.608
## 0.755 0.755
## 0.858 0.858
## 0.973 0.973
##
## 0.528 0.528
## 0.614 0.614
## 0.649 0.649
## 0.546 0.548
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## p ~
## g (bG) -0.216 0.023 -9.240 0.000
## BIS (bBIS) 0.202 0.046 4.364 0.000
## wMDD5_2 (c) 0.056 0.016 3.410 0.001
## pc1 0.289 4.345 0.067 0.947
## pc2 0.129 22.151 0.006 0.995
## pc3 0.362 1.130 0.321 0.748
## pc4 0.032 27.887 0.001 0.999
## SEXnum -0.235 0.035 -6.736 0.000
## g ~
## wMDD5_2 (aG) -0.055 0.018 -2.979 0.003
## BIS ~
## wMDD5_2 (aBIS) 0.020 0.009 2.165 0.030
## g ~
## pc1 8.875 5.001 1.775 0.076
## pc2 1.386 28.269 0.049 0.961
## pc3 -2.051 1.420 -1.445 0.149
## pc4 0.115 28.782 0.004 0.997
## SEXnum 0.041 0.037 1.114 0.265
## BIS ~
## pc1 0.094 2.345 0.040 0.968
## pc2 0.086 11.797 0.007 0.994
## pc3 1.154 0.596 1.936 0.053
## pc4 -0.034 15.921 -0.002 0.998
## SEXnum 0.117 0.019 6.111 0.000
## Std.lv Std.all
##
## -0.210 -0.210
## 0.103 0.103
## 0.054 0.054
## 0.279 0.004
## 0.124 0.000
## 0.349 0.004
## 0.031 0.000
## -0.226 -0.113
##
## -0.055 -0.055
##
## 0.039 0.039
##
## 8.802 0.111
## 1.375 0.003
## -2.034 -0.022
## 0.114 0.000
## 0.041 0.020
##
## 0.179 0.002
## 0.163 0.000
## 2.187 0.023
## -0.065 -0.000
## 0.222 0.111
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .g ~~
## .BIS -0.016 0.012 -1.325 0.185
## Std.lv Std.all
##
## -0.031 -0.031
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .p 1.000
## .g 1.000
## .CBCL_Q03_P 0.237 0.006 37.262 0.000
## .CBCL_Q07_P 0.202 0.005 38.783 0.000
## .CBCL_Q109_P 0.204 0.005 39.677 0.000
## .CBCL_Q15_P 0.009 0.002 5.431 0.000
## .CBCL_Q16_P 0.056 0.003 20.738 0.000
## .CBCL_Q19_P 0.178 0.006 29.613 0.000
## .CBCL_Q26_P 0.098 0.005 21.619 0.000
## .CBCL_Q27_P 0.159 0.005 30.289 0.000
## .CBCL_Q34_P 0.052 0.003 15.443 0.000
## .CBCL_Q37_P 0.025 0.002 12.121 0.000
## .CBCL_Q39_P 0.060 0.003 17.191 0.000
## .CBCL_Q43_P 0.144 0.004 33.332 0.000
## .CBCL_Q67_P 0.004 0.001 3.528 0.000
## .CBCL_Q68_P 0.087 0.004 21.988 0.000
## .CBCL_Q72_P 0.005 0.001 4.052 0.000
## .CBCL_Q74_P 0.227 0.006 36.348 0.000
## .CBCL_Q86_P 0.183 0.005 36.894 0.000
## .CBCL_Q87_P 0.132 0.004 29.525 0.000
## .CBCL_Q88_P 0.106 0.004 25.903 0.000
## .CBCL_Q89_P 0.030 0.003 10.351 0.000
## .CBCL_Q90_P 0.068 0.004 15.639 0.000
## .CBCL_Q94_P 0.084 0.004 22.525 0.000
## .CBCL_Q95_P 0.166 0.005 33.369 0.000
## .CBCL_Q96_P 0.008 0.002 4.749 0.000
## .Com1_Attack 0.050 0.002 20.774 0.000
## .Com2_Destroy 0.036 0.002 16.894 0.000
## .Com3_Disobeys 0.114 0.004 32.136 0.000
## .Com4_Steals 0.037 0.002 16.089 0.000
## .Com5_Peer 0.093 0.004 24.936 0.000
## .CBCL_Q112_P 0.181 0.005 33.634 0.000
## .CBCL_Q12_P 0.112 0.005 22.200 0.000
## .CBCL_Q29_P 0.149 0.005 29.467 0.000
## .CBCL_Q30_P 0.045 0.003 13.220 0.000
## .CBCL_Q31_P 0.076 0.004 20.669 0.000
## .CBCL_Q32_P 0.249 0.007 37.132 0.000
## .CBCL_Q35_P 0.106 0.004 26.598 0.000
## .CBCL_Q45_P 0.137 0.005 28.080 0.000
## .CBCL_Q50_P 0.126 0.005 27.292 0.000
## .CBCL_Q52_P 0.066 0.003 19.655 0.000
## .CBCL_Q71_P 0.261 0.006 43.021 0.000
## .CBCL_Q01_P 0.162 0.005 30.313 0.000
## .CBCL_Q04_P 0.226 0.006 36.530 0.000
## .CBCL_Q09_P 0.200 0.006 33.183 0.000
## .CBCL_Q13_P 0.050 0.003 15.083 0.000
## .CBCL_Q17_P 0.209 0.006 33.994 0.000
## .CBCL_Q36_P 0.154 0.006 25.815 0.000
## .CBCL_Q46_P 0.113 0.005 21.043 0.000
## .CBCL_Q61_P 0.101 0.005 22.315 0.000
## .CBCL_Q62_P 0.111 0.005 22.074 0.000
## .CBCL_Q64_P 0.144 0.005 27.286 0.000
## .CBCL_Q66_P 0.066 0.004 15.606 0.000
## .CBCL_Q80_P 0.065 0.003 19.897 0.000
## .CBCL_Q85_P 0.052 0.003 16.826 0.000
## .CBCL_Q93_P 0.238 0.007 34.776 0.000
## .Com6_Distractd 0.190 0.006 30.463 0.000
## .CBCL_Q51_P 0.040 0.003 13.011 0.000
## .CBCL_Q56A_P 0.148 0.005 28.231 0.000
## .CBCL_Q56B_P 0.193 0.006 32.079 0.000
## .CBCL_Q56C_P 0.074 0.004 20.679 0.000
## .CBCL_Q56D_P 0.039 0.004 9.370 0.000
## .CBCL_Q56E_P 0.157 0.007 24.119 0.000
## .CBCL_Q56F_P 0.131 0.006 21.989 0.000
## .CBCL_Q56G_P 0.037 0.003 14.812 0.000
## .CBCL_Q56H_P 0.029 0.003 9.025 0.000
## .CBCL_Q102_P 0.061 0.004 15.976 0.000
## .CBCL_Q111_P 0.043 0.002 17.467 0.000
## .CBCL_Q42_P 0.125 0.005 24.993 0.000
## .CBCL_Q65_P 0.066 0.004 17.171 0.000
## .CBCL_Q75_P 0.164 0.006 27.716 0.000
## .NIHTBX_FLANKER 0.634 0.021 30.082 0.000
## .NIHTBX_CARDSOR 0.472 0.023 20.480 0.000
## .NIHTBX_PATTERN 0.639 0.020 31.194 0.000
## .NIHTBX_PICVOCA 0.535 0.022 24.392 0.000
## .NIHTBX_READING 0.469 0.023 20.590 0.000
## .NIHTBX_PICTURE 0.710 0.019 37.246 0.000
## .PEA_RAVLT_LD_T 0.681 0.021 32.720 0.000
## .NIHTBX_LIST_UN 0.625 0.022 28.285 0.000
## .LMT_SCR_PERC_C 0.752 0.020 37.021 0.000
## .PEA_WISCV_TRS 0.672 0.023 29.565 0.000
## .BISBAS2_Y 0.719 0.025 29.179 0.000
## .BISBAS3_Y 0.621 0.023 27.391 0.000
## .BISBAS4_Y 0.577 0.025 23.344 0.000
## .BISBAS6_Y 0.693 0.024 28.871 0.000
## .Ext 0.072 0.005 15.177 0.000
## .Int 0.073 0.006 11.864 0.000
## .Att 0.017 0.002 9.075 0.000
## .Som 0.003 0.001 4.850 0.000
## .Det 0.010 0.001 6.720 0.000
## .EF 0.223 0.015 14.686 0.000
## .verbal 0.202 0.016 12.744 0.000
## .memory 0.076 0.012 6.577 0.000
## .spatial 0.013 0.012 1.096 0.273
## .BIS 0.274 0.025 11.171 0.000
## Std.lv Std.all
## 0.929 0.929
## 0.984 0.984
## 0.237 0.564
## 0.202 0.814
## 0.204 0.761
## 0.009 0.942
## 0.056 0.731
## 0.178 0.670
## 0.098 0.723
## 0.159 0.698
## 0.052 0.826
## 0.025 0.812
## 0.060 0.907
## 0.144 0.684
## 0.004 0.952
## 0.087 0.657
## 0.005 0.983
## 0.227 0.800
## 0.183 0.577
## 0.132 0.622
## 0.106 0.709
## 0.030 0.852
## 0.068 0.839
## 0.084 0.815
## 0.166 0.573
## 0.008 0.963
## 0.050 0.718
## 0.036 0.766
## 0.114 0.574
## 0.037 0.818
## 0.093 0.712
## 0.181 0.521
## 0.112 0.810
## 0.149 0.754
## 0.045 0.861
## 0.076 0.784
## 0.249 0.777
## 0.106 0.683
## 0.137 0.594
## 0.126 0.488
## 0.066 0.753
## 0.261 0.686
## 0.162 0.716
## 0.226 0.617
## 0.200 0.641
## 0.050 0.780
## 0.209 0.710
## 0.154 0.854
## 0.113 0.800
## 0.101 0.715
## 0.111 0.763
## 0.144 0.805
## 0.066 0.804
## 0.065 0.734
## 0.052 0.814
## 0.238 0.793
## 0.190 0.497
## 0.040 0.907
## 0.148 0.816
## 0.193 0.769
## 0.074 0.512
## 0.039 0.968
## 0.157 0.946
## 0.131 0.568
## 0.037 0.878
## 0.029 0.939
## 0.061 0.762
## 0.043 0.590
## 0.125 0.693
## 0.066 0.787
## 0.164 0.777
## 0.634 0.641
## 0.472 0.477
## 0.639 0.642
## 0.535 0.532
## 0.469 0.468
## 0.710 0.711
## 0.681 0.680
## 0.625 0.622
## 0.752 0.756
## 0.672 0.669
## 0.719 0.721
## 0.621 0.623
## 0.577 0.578
## 0.693 0.699
## 0.390 0.390
## 0.437 0.437
## 0.271 0.271
## 0.722 0.722
## 0.499 0.499
## 0.630 0.630
## 0.429 0.429
## 0.263 0.263
## 0.053 0.053
## 0.986 0.986
##
## R-Square:
## Estimate
## p 0.071
## g 0.016
## CBCL_Q03_P 0.436
## CBCL_Q07_P 0.186
## CBCL_Q109_P 0.239
## CBCL_Q15_P 0.058
## CBCL_Q16_P 0.269
## CBCL_Q19_P 0.330
## CBCL_Q26_P 0.277
## CBCL_Q27_P 0.302
## CBCL_Q34_P 0.174
## CBCL_Q37_P 0.188
## CBCL_Q39_P 0.093
## CBCL_Q43_P 0.316
## CBCL_Q67_P 0.048
## CBCL_Q68_P 0.343
## CBCL_Q72_P 0.017
## CBCL_Q74_P 0.200
## CBCL_Q86_P 0.423
## CBCL_Q87_P 0.378
## CBCL_Q88_P 0.291
## CBCL_Q89_P 0.148
## CBCL_Q90_P 0.161
## CBCL_Q94_P 0.185
## CBCL_Q95_P 0.427
## CBCL_Q96_P 0.037
## Com1_Attack 0.282
## Com2_Destroy 0.234
## Com3_Disobeys 0.426
## Com4_Steals 0.182
## Com5_Peer 0.288
## CBCL_Q112_P 0.479
## CBCL_Q12_P 0.190
## CBCL_Q29_P 0.246
## CBCL_Q30_P 0.139
## CBCL_Q31_P 0.216
## CBCL_Q32_P 0.223
## CBCL_Q35_P 0.317
## CBCL_Q45_P 0.406
## CBCL_Q50_P 0.512
## CBCL_Q52_P 0.247
## CBCL_Q71_P 0.314
## CBCL_Q01_P 0.284
## CBCL_Q04_P 0.383
## CBCL_Q09_P 0.359
## CBCL_Q13_P 0.220
## CBCL_Q17_P 0.290
## CBCL_Q36_P 0.146
## CBCL_Q46_P 0.200
## CBCL_Q61_P 0.285
## CBCL_Q62_P 0.237
## CBCL_Q64_P 0.195
## CBCL_Q66_P 0.196
## CBCL_Q80_P 0.266
## CBCL_Q85_P 0.186
## CBCL_Q93_P 0.207
## Com6_Distractd 0.503
## CBCL_Q51_P 0.093
## CBCL_Q56A_P 0.184
## CBCL_Q56B_P 0.231
## CBCL_Q56C_P 0.488
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.054
## CBCL_Q56F_P 0.432
## CBCL_Q56G_P 0.122
## CBCL_Q56H_P 0.061
## CBCL_Q102_P 0.238
## CBCL_Q111_P 0.410
## CBCL_Q42_P 0.307
## CBCL_Q65_P 0.213
## CBCL_Q75_P 0.223
## NIHTBX_FLANKER 0.359
## NIHTBX_CARDSOR 0.523
## NIHTBX_PATTERN 0.358
## NIHTBX_PICVOCA 0.468
## NIHTBX_READING 0.532
## NIHTBX_PICTURE 0.289
## PEA_RAVLT_LD_T 0.320
## NIHTBX_LIST_UN 0.378
## LMT_SCR_PERC_C 0.244
## PEA_WISCV_TRS 0.331
## BISBAS2_Y 0.279
## BISBAS3_Y 0.377
## BISBAS4_Y 0.422
## BISBAS6_Y 0.301
## Ext 0.610
## Int 0.563
## Att 0.729
## Som 0.278
## Det 0.501
## EF 0.370
## verbal 0.571
## memory 0.737
## spatial 0.947
## BIS 0.014
##
## Defined Parameters:
## Estimate Std.Err z-value P(>|z|)
## indirectCogG 0.012 0.004 2.814 0.005
## indirectBIS 0.004 0.002 1.974 0.048
## sumIndirect 0.016 0.005 3.404 0.001
## direct 0.056 0.016 3.410 0.001
## total 0.072 0.016 4.388 0.000
## propCogG 0.166 0.066 2.520 0.012
## propBIS 0.057 0.031 1.849 0.064
## propSumIndirct 0.223 0.077 2.903 0.004
## Std.lv Std.all
## 0.011 0.012
## 0.004 0.004
## 0.015 0.016
## 0.054 0.054
## 0.069 0.069
## 0.166 0.166
## 0.057 0.057
## 0.223 0.223MDDBISGMediation.Fit.p5e_2 <- broom::tidy(MDDBISGMediation.Fit) %>%
filter(op %in% c("~",":=")) %>%
filter(!str_detect(term, "pc")) %>%
filter(!str_detect(term, "cnt")) %>%
filter(!str_detect(term, "SEXnum"))
MDDBISGMediation.Fit.p5e_2 %>% knitr::kable()| term | op | label | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox |
|---|---|---|---|---|---|---|---|---|---|
| p ~ g | ~ | bG | -0.2159398 | 0.0233713 | -9.239510 | 0.0000000 | -0.2098158 | -0.2098158 | -0.2098158 |
| p ~ BIS | ~ | bBIS | 0.2016359 | 0.0462082 | 4.363642 | 0.0000128 | 0.1025203 | 0.1025203 | 0.1025203 |
| p ~ wrayMDDp5e_2_score | ~ | c | 0.0556493 | 0.0163204 | 3.409794 | 0.0006501 | 0.0536241 | 0.0538984 | 0.0536241 |
| g ~ wrayMDDp5e_2_score | ~ | aG | -0.0551022 | 0.0184967 | -2.979026 | 0.0028917 | -0.0546467 | -0.0549263 | -0.0546467 |
| BIS ~ wrayMDDp5e_2_score | ~ | aBIS | 0.0204160 | 0.0094311 | 2.164751 | 0.0304068 | 0.0386926 | 0.0388906 | 0.0386926 |
| indirectCogG := aG*bG | := | indirectCogG | 0.0118988 | 0.0042281 | 2.814184 | 0.0048901 | 0.0114657 | 0.0115244 | 0.0114657 |
| indirectBIS := aBIS*bBIS | := | indirectBIS | 0.0041166 | 0.0020859 | 1.973521 | 0.0484362 | 0.0039668 | 0.0039871 | 0.0039668 |
| sumIndirect := (aGbG)+(aBISbBIS) | := | sumIndirect | 0.0160154 | 0.0047048 | 3.404077 | 0.0006639 | 0.0154325 | 0.0155115 | 0.0154325 |
| direct := c | := | direct | 0.0556493 | 0.0163204 | 3.409794 | 0.0006501 | 0.0536241 | 0.0538984 | 0.0536241 |
| total := c+(aGbG)+(aBISbBIS) | := | total | 0.0716646 | 0.0163313 | 4.388186 | 0.0000114 | 0.0690566 | 0.0694099 | 0.0690566 |
| propCogG := indirectCogG/total | := | propCogG | 0.1660340 | 0.0658790 | 2.520289 | 0.0117258 | 0.1660340 | 0.1660340 | 0.1660340 |
| propBIS := indirectBIS/total | := | propBIS | 0.0574425 | 0.0310655 | 1.849074 | 0.0644471 | 0.0574425 | 0.0574425 | 0.0574425 |
| propSumIndirect := sumIndirect/total | := | propSumIndirect | 0.2234765 | 0.0769731 | 2.903307 | 0.0036924 | 0.2234765 | 0.2234765 | 0.2234765 |
MDDBISGMediation.Fit.p5e_2Std <- lavaan::standardizedSolution(MDDBISGMediation.Fit) %>%
filter(op %in% c("~",":=")) %>%
filter(!str_detect(rhs, "pc")) %>%
filter(!str_detect(rhs, "cnt")) %>%
filter(!str_detect(rhs, "SEXnum"))
MDDBISGMediation.Fit.p5e_2Std %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| p | ~ | g | -0.2098158 | 0.0217888 | -9.629525 | 0.0000000 | -0.2525210 | -0.1671105 |
| p | ~ | BIS | 0.1025203 | 0.0223423 | 4.588626 | 0.0000045 | 0.0587303 | 0.1463103 |
| p | ~ | wrayMDDp5e_2_score | 0.0538984 | 0.0157770 | 3.416274 | 0.0006348 | 0.0229761 | 0.0848207 |
| g | ~ | wrayMDDp5e_2_score | -0.0549263 | 0.0183849 | -2.987574 | 0.0028120 | -0.0909600 | -0.0188925 |
| BIS | ~ | wrayMDDp5e_2_score | 0.0388906 | 0.0178671 | 2.176663 | 0.0295057 | 0.0038718 | 0.0739094 |
| indirectCogG | := | aG*bG | 0.0115244 | 0.0040775 | 2.826334 | 0.0047084 | 0.0035326 | 0.0195162 |
| indirectBIS | := | aBIS*bBIS | 0.0039871 | 0.0020175 | 1.976257 | 0.0481257 | 0.0000329 | 0.0079413 |
| sumIndirect | := | (aGbG)+(aBISbBIS) | 0.0155115 | 0.0045306 | 3.423720 | 0.0006177 | 0.0066317 | 0.0243913 |
| direct | := | c | 0.0538984 | 0.0157770 | 3.416274 | 0.0006348 | 0.0229761 | 0.0848207 |
| total | := | c+(aGbG)+(aBISbBIS) | 0.0694099 | 0.0157451 | 4.408341 | 0.0000104 | 0.0385500 | 0.1002697 |
| propCogG | := | indirectCogG/total | 0.1660340 | 0.0658790 | 2.520289 | 0.0117258 | 0.0369136 | 0.2951544 |
| propBIS | := | indirectBIS/total | 0.0574425 | 0.0310655 | 1.849074 | 0.0644471 | -0.0034449 | 0.1183298 |
| propSumIndirect | := | sumIndirect/total | 0.2234765 | 0.0769731 | 2.903307 | 0.0036924 | 0.0726120 | 0.3743409 |
3.5.1 Plot mediation: MDD PS -> BIS/G -> P
s_MDDBISGMediation.Fit.p5e_2 = add.significance.stars(MDDBISGMediation.Fit.p5e_2, cutoffs = c(0.05, 0.01, 0.001))
ax_MDDBISGMediation.Fit.p5e_2 <-gsub(" ","", paste0(round(MDDBISGMediation.Fit.p5e_2$std.all,3),s_MDDBISGMediation.Fit.p5e_2[,7]))
dir_effect<-gsub(" ","",paste0("(",ax_MDDBISGMediation.Fit.p5e_2[9],")"))
med_effect <- gsub(" ","",paste0(ax_MDDBISGMediation.Fit.p5e_2[10],dir_effect))
E <- matrix(c(
2,1,
3,1,
4,1,
2,3,
3,2,
4,2,
4,3,
3,5,
3,6,
3,7,
3,8,
1,9,
1,10,
1,11,
1,12,
1,13,
14,1,
14,2,
14,3,
14,4,
4,14
),,2,byrow=TRUE)
# aspect <- c(sapply(img, function(x) nrow(x)/ncol(x)),1)
size <- 1*c(rep(10,4),rep(8,10))
shape <- c(rep("circle",3),rep("rectangle",1),rep("circle",9),rep("rectangle",1))
borders = TRUE
Layout <- matrix(c(
5,12,
3,18,
3,6,
1,12,
2,0,
3,0,
4,0,
5,0,
6,18,
6,14,
6,10,
6,6,
6,2,
1,2
),,2,byrow=TRUE)
eCol <- rep(0,nrow(E));eCol[1:16]="black";eCol[17:nrow(E)]="grey";eCol[20:21]="black"
labels <- list(diag_var_list_BBG[19],
diag_var_list_BBG[8],
diag_var_list_BBG[10],
diag_var_list_BBG[11],
diag_var_list_BBG[4],
diag_var_list_BBG[5],
diag_var_list_BBG[6],
diag_var_list_BBG[7],
diag_var_list_BBG[14],
diag_var_list_BBG[15],
diag_var_list_BBG[16],
diag_var_list_BBG[17],
diag_var_list_BBG[18],
diag_var_list_BBG[13]
)
eLabs <- list(
ax_MDDBISGMediation.Fit.p5e_2[2],ax_MDDBISGMediation.Fit.p5e_2[1],med_effect,"","", ax_MDDBISGMediation.Fit.p5e_2[5], ax_MDDBISGMediation.Fit.p5e_2[4],"","","","","","","","","","","","","",""
)
curve <- rep(0,nrow(E));curve[20:21]<-1;curve[4:5]<-1
loopRot <- c(rep(0,2))
node_col <- rep("white",14);node_col[1]<-"darkseagreen1";node_col[2:3] <- "lightblue1";node_col[4]<- "wheat1";node_col[5:8]<-"lightblue1";node_col[9:14]<-"darkseagreen1";node_col[14]<-"wheat1"
qgraph(E,edgelist = TRUE,
vsize = size, shape = shape ,
borders = borders, layout = Layout,
edge.color = eCol, asize = 3, labels = labels,
label.scale.equal = FALSE, bidirectional = TRUE,
mar = c(6,5,9,5), esize = 2, label.cex = 1,
edge.labels = eLabs, edge.label.cex = 1.5,
bg = "transparent", edge.label.bg = "white",
loopRotation = loopRot, curve = curve, curveAll=TRUE,
width = 8, height = 5, color =node_col)
3.5.2 Mediation: ADHD PS -> BAS & CogG -> P
we examined the extent to which the relationship between ADHD PS and the P-Factor was accounted for by the mediators implicated by steps two and three. Here we treated ADHD PS (step one) as an independent variable, BAS and G (steps two and three) as mediators and the P-Factor as a dependent variable.
ADHD_BAS_G_Mediation <-'
# cbcl p
Ext =~ CBCL_Q03_P + CBCL_Q07_P + CBCL_Q109_P + CBCL_Q15_P + CBCL_Q16_P + CBCL_Q19_P + CBCL_Q26_P + CBCL_Q27_P + CBCL_Q34_P + CBCL_Q37_P + CBCL_Q39_P + CBCL_Q43_P + CBCL_Q67_P + CBCL_Q68_P + CBCL_Q72_P + CBCL_Q74_P + CBCL_Q86_P + CBCL_Q87_P + CBCL_Q88_P + CBCL_Q89_P + CBCL_Q90_P + CBCL_Q94_P + CBCL_Q95_P + CBCL_Q96_P + Com1_Attack + Com2_Destroy + Com3_Disobeys + Com4_Steals + Com5_Peer
Int =~ CBCL_Q112_P + CBCL_Q12_P + CBCL_Q29_P + CBCL_Q30_P + CBCL_Q31_P + CBCL_Q32_P + CBCL_Q35_P + CBCL_Q45_P + CBCL_Q50_P + CBCL_Q52_P + CBCL_Q71_P
Att =~ CBCL_Q01_P + CBCL_Q04_P + CBCL_Q09_P + CBCL_Q13_P + CBCL_Q17_P + CBCL_Q36_P + CBCL_Q46_P + CBCL_Q61_P + CBCL_Q62_P + CBCL_Q64_P + CBCL_Q66_P + CBCL_Q80_P + CBCL_Q85_P + CBCL_Q93_P + Com6_Distracted
Som =~ CBCL_Q51_P + CBCL_Q56A_P + CBCL_Q56B_P + CBCL_Q56C_P + CBCL_Q56D_P + CBCL_Q56E_P + CBCL_Q56F_P + CBCL_Q56G_P + CBCL_Q56H_P
Det =~ CBCL_Q102_P + CBCL_Q111_P + CBCL_Q42_P + CBCL_Q65_P + CBCL_Q75_P
p =~ NA*Ext + Int + Att + Som + Det #estimate the loading of Ext -> as opposed to using it as a marker
p ~~ 1*p #need to constrain variance to 1
# cog g
EF =~ NIHTBX_FLANKER_UNCORRECTED + NIHTBX_CARDSORT_UNCORRECTED + NIHTBX_PATTERN_UNCORRECTED
verbal =~ NIHTBX_PICVOCAB_UNCORRECTED + NIHTBX_READING_UNCORRECTED
memory =~ NIHTBX_PICTURE_UNCORRECTED + PEA_RAVLT_LD_TRIAL_VII_TC + NIHTBX_LIST_UNCORRECTED
spatial =~ LMT_SCR_PERC_CORRECT + PEA_WISCV_TRS
g =~ NA*EF + verbal + memory + spatial #estimate the loading of EF -> as opposed to using it as a marker
g ~~ 1*g #need to constrain variance to 1
#2nd order latent bas
RR =~ BISBAS8_Y + BISBAS10_Y + BISBAS11_Y + BISBAS12_Y
Drive =~ BISBAS13_Y + BISBAS14_Y + BISBAS15_Y + BISBAS16_Y
Fun =~ BISBAS17_Y + BISBAS18_Y + BISBAS19_Y + BISBAS20_Y
BASg =~ NA*RR + Drive + Fun
BASg ~~ 1*BASg #need to constrain variance to 1
# mediation
# Y ˜ b*M + c*X
# M ˜ a*X
#regression
# outcome model
p ~ bG*g
p ~ bBASg*BASg
p ~ c*ADHDp5e_2_score
# p ~ ADHDp5e_2_cnt
p ~ pc1 + pc2 + pc3 + pc4 + SEXnum
# mediator models
g ~ aG*ADHDp5e_2_score
BASg ~ aBASg*ADHDp5e_2_score
# g ~ ADHDp5e_2_cnt
g ~ pc1 + pc2 + pc3 + pc4 + SEXnum
# BASg ~ ADHDp5e_2_cnt +
BASg ~ pc1 + pc2 + pc3 + pc4 + SEXnum
# indirect effects (IDE)
indirectCogG := aG*bG
indirectBAS := aBASg*bBASg
sumIndirect := (aG*bG) + (aBASg*bBASg)
# direct
direct := c
# total effect
total := c + (aG*bG) + (aBASg*bBASg)
propCogG := indirectCogG/total
propBAS := indirectBAS/total
propSumIndirect := sumIndirect/total
# covariation between mediators
g ~~ BASg
'
ADHD_BAS_G_Mediation.Fit <- lavaan::cfa(model = ADHD_BAS_G_Mediation , data = MostPrsCBCLBISBAS.ScoreScaled , estimator = "MLR")
lavaan::summary(ADHD_BAS_G_Mediation.Fit, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 406 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 215
##
## Used Total
## Number of observations 4478 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 26755.608 18687.195
## Degrees of freedom 4517 4517
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.432
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 122930.959 85363.607
## Degrees of freedom 4641 4641
## P-value 0.000 0.000
## Scaling correction factor 1.440
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.812 0.824
## Tucker-Lewis Index (TLI) 0.807 0.820
##
## Robust Comparative Fit Index (CFI) 0.825
## Robust Tucker-Lewis Index (TLI) 0.821
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -202049.870 -202049.870
## Scaling correction factor 5.502
## for the MLR correction
## Loglikelihood unrestricted model (H1) -188672.066 -188672.066
## Scaling correction factor 1.617
## for the MLR correction
##
## Akaike (AIC) 404529.740 404529.740
## Bayesian (BIC) 405907.230 405907.230
## Sample-size adjusted Bayesian (BIC) 405224.045 405224.045
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.033 0.026
## 90 Percent confidence interval - lower 0.033 0.026
## 90 Percent confidence interval - upper 0.034 0.027
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.032
## 90 Percent confidence interval - lower 0.031
## 90 Percent confidence interval - upper 0.032
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.040 0.040
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## Ext =~
## CBCL_Q03_P 1.000
## CBCL_Q07_P 0.503 0.025 20.363 0.000
## CBCL_Q109_P 0.590 0.024 25.054 0.000
## CBCL_Q15_P 0.054 0.011 5.140 0.000
## CBCL_Q16_P 0.336 0.022 15.296 0.000
## CBCL_Q19_P 0.693 0.025 27.873 0.000
## CBCL_Q26_P 0.452 0.024 19.068 0.000
## CBCL_Q27_P 0.611 0.025 24.570 0.000
## CBCL_Q34_P 0.245 0.022 11.194 0.000
## CBCL_Q37_P 0.176 0.019 9.239 0.000
## CBCL_Q39_P 0.183 0.018 10.262 0.000
## CBCL_Q43_P 0.601 0.024 25.093 0.000
## CBCL_Q67_P 0.033 0.009 3.501 0.000
## CBCL_Q68_P 0.497 0.023 21.468 0.000
## CBCL_Q72_P 0.023 0.006 3.649 0.000
## CBCL_Q74_P 0.557 0.026 21.085 0.000
## CBCL_Q86_P 0.854 0.022 38.931 0.000
## CBCL_Q87_P 0.662 0.025 26.315 0.000
## CBCL_Q88_P 0.488 0.025 19.534 0.000
## CBCL_Q89_P 0.168 0.020 8.447 0.000
## CBCL_Q90_P 0.267 0.024 11.357 0.000
## CBCL_Q94_P 0.322 0.023 14.114 0.000
## CBCL_Q95_P 0.820 0.022 36.460 0.000
## CBCL_Q96_P 0.042 0.012 3.367 0.001
## Com1_Attack 0.326 0.021 15.547 0.000
## Com2_Destroy 0.244 0.020 12.416 0.000
## Com3_Disobeys 0.680 0.019 35.172 0.000
## Com4_Steals 0.212 0.019 11.145 0.000
## Com5_Peer 0.454 0.022 20.894 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.398 0.027 14.890 0.000
## CBCL_Q29_P 0.540 0.026 21.025 0.000
## CBCL_Q30_P 0.210 0.021 9.789 0.000
## CBCL_Q31_P 0.355 0.024 14.763 0.000
## CBCL_Q32_P 0.655 0.029 22.878 0.000
## CBCL_Q35_P 0.544 0.027 19.862 0.000
## CBCL_Q45_P 0.750 0.026 29.280 0.000
## CBCL_Q50_P 0.891 0.022 40.803 0.000
## CBCL_Q52_P 0.360 0.024 14.802 0.000
## CBCL_Q71_P 0.845 0.028 30.356 0.000
## Att =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.479 0.067 22.095 0.000
## CBCL_Q09_P 1.323 0.063 20.964 0.000
## CBCL_Q13_P 0.467 0.039 12.083 0.000
## CBCL_Q17_P 1.153 0.063 18.429 0.000
## CBCL_Q36_P 0.641 0.043 14.917 0.000
## CBCL_Q46_P 0.664 0.047 14.059 0.000
## CBCL_Q61_P 0.793 0.043 18.481 0.000
## CBCL_Q62_P 0.733 0.042 17.284 0.000
## CBCL_Q64_P 0.737 0.041 17.933 0.000
## CBCL_Q66_P 0.501 0.042 12.071 0.000
## CBCL_Q80_P 0.606 0.043 14.182 0.000
## CBCL_Q85_P 0.431 0.034 12.791 0.000
## CBCL_Q93_P 0.987 0.056 17.711 0.000
## Com6_Distractd 1.731 0.073 23.620 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.858 0.324 8.826 0.000
## CBCL_Q56B_P 3.778 0.401 9.416 0.000
## CBCL_Q56C_P 4.168 0.477 8.740 0.000
## CBCL_Q56D_P 0.564 0.105 5.385 0.000
## CBCL_Q56E_P 1.482 0.214 6.916 0.000
## CBCL_Q56F_P 4.957 0.551 8.998 0.000
## CBCL_Q56G_P 1.125 0.165 6.833 0.000
## CBCL_Q56H_P 0.684 0.134 5.091 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.246 0.088 14.098 0.000
## CBCL_Q42_P 1.702 0.137 12.451 0.000
## CBCL_Q65_P 0.968 0.101 9.587 0.000
## CBCL_Q75_P 1.564 0.139 11.216 0.000
## p =~
## Ext 0.325 0.009 36.013 0.000
## Int 0.293 0.010 28.423 0.000
## Att 0.210 0.009 22.136 0.000
## Som 0.032 0.004 7.847 0.000
## Det 0.094 0.009 10.997 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.213 0.048 25.402 0.000
## NIHTBX_PATTERN 1.003 0.042 23.614 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.060 0.038 27.820 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.055 0.038 27.599 0.000
## NIHTBX_LIST_UN 1.149 0.055 21.063 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.169 0.051 22.833 0.000
## g =~
## EF 0.355 0.017 21.202 0.000
## verbal 0.517 0.018 29.504 0.000
## memory 0.455 0.015 29.373 0.000
## spatial 0.472 0.017 28.333 0.000
## RR =~
## BISBAS8_Y 1.000
## BISBAS10_Y 0.983 0.028 35.712 0.000
## BISBAS11_Y 0.832 0.031 26.564 0.000
## BISBAS12_Y 1.117 0.030 36.918 0.000
## Drive =~
## BISBAS13_Y 1.000
## BISBAS14_Y 1.074 0.023 46.810 0.000
## BISBAS15_Y 1.014 0.027 37.550 0.000
## BISBAS16_Y 0.807 0.030 27.009 0.000
## Fun =~
## BISBAS17_Y 1.000
## BISBAS18_Y 1.122 0.043 25.843 0.000
## BISBAS19_Y 0.968 0.041 23.544 0.000
## BISBAS20_Y 0.970 0.035 27.542 0.000
## BASg =~
## RR 0.531 0.015 34.839 0.000
## Drive 0.546 0.015 35.303 0.000
## Fun 0.450 0.017 26.334 0.000
## Std.lv Std.all
##
## 0.428 0.661
## 0.215 0.432
## 0.253 0.489
## 0.023 0.241
## 0.144 0.519
## 0.297 0.575
## 0.194 0.527
## 0.262 0.549
## 0.105 0.417
## 0.075 0.433
## 0.078 0.305
## 0.257 0.562
## 0.014 0.219
## 0.213 0.585
## 0.010 0.132
## 0.238 0.448
## 0.366 0.650
## 0.283 0.614
## 0.209 0.539
## 0.072 0.385
## 0.114 0.401
## 0.138 0.430
## 0.351 0.653
## 0.018 0.193
## 0.140 0.530
## 0.105 0.484
## 0.291 0.653
## 0.091 0.427
## 0.194 0.537
##
## 0.408 0.692
## 0.162 0.436
## 0.220 0.496
## 0.086 0.372
## 0.145 0.464
## 0.267 0.472
## 0.222 0.563
## 0.306 0.637
## 0.364 0.716
## 0.147 0.497
## 0.345 0.559
##
## 0.253 0.533
## 0.374 0.619
## 0.335 0.599
## 0.118 0.468
## 0.292 0.538
## 0.162 0.382
## 0.168 0.447
## 0.201 0.534
## 0.186 0.486
## 0.187 0.441
## 0.127 0.442
## 0.153 0.515
## 0.109 0.431
## 0.250 0.456
## 0.438 0.710
##
## 0.064 0.304
## 0.182 0.428
## 0.241 0.481
## 0.266 0.699
## 0.036 0.180
## 0.094 0.232
## 0.316 0.657
## 0.072 0.349
## 0.044 0.248
##
## 0.138 0.488
## 0.172 0.641
## 0.235 0.555
## 0.134 0.460
## 0.216 0.471
##
## 0.786 0.786
## 0.742 0.742
## 0.859 0.859
## 0.524 0.524
## 0.702 0.702
##
## 0.594 0.598
## 0.721 0.724
## 0.596 0.598
##
## 0.687 0.685
## 0.728 0.728
##
## 0.537 0.537
## 0.566 0.566
## 0.617 0.615
##
## 0.493 0.494
## 0.576 0.575
##
## 0.605 0.605
## 0.761 0.761
## 0.858 0.858
## 0.970 0.970
##
## 0.645 0.647
## 0.634 0.637
## 0.537 0.536
## 0.721 0.724
##
## 0.710 0.708
## 0.762 0.763
## 0.720 0.719
## 0.573 0.575
##
## 0.581 0.580
## 0.652 0.654
## 0.563 0.565
## 0.564 0.563
##
## 0.835 0.835
## 0.780 0.780
## 0.784 0.784
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## p ~
## g (bG) -0.202 0.024 -8.577 0.000
## BASg (bBAS) 0.080 0.022 3.627 0.000
## ADHD5_2 (c) 0.061 0.017 3.667 0.000
## pc1 -0.884 4.386 -0.202 0.840
## pc2 6.717 22.561 0.298 0.766
## pc3 0.229 1.152 0.199 0.842
## pc4 6.338 27.499 0.230 0.818
## SEXnum -0.194 0.035 -5.600 0.000
## g ~
## ADHD5_2 (aG) -0.102 0.018 -5.662 0.000
## BASg ~
## ADHD5_2 (aBAS) 0.070 0.018 3.956 0.000
## g ~
## pc1 12.768 4.784 2.669 0.008
## pc2 -19.257 26.829 -0.718 0.473
## pc3 -1.778 1.349 -1.317 0.188
## pc4 -16.115 28.894 -0.558 0.577
## SEXnum 0.045 0.037 1.220 0.223
## BASg ~
## pc1 -3.211 4.304 -0.746 0.456
## pc2 23.473 22.168 1.059 0.290
## pc3 2.602 1.074 2.422 0.015
## pc4 -47.880 27.335 -1.752 0.080
## SEXnum -0.290 0.036 -8.042 0.000
## Std.lv Std.all
##
## -0.197 -0.197
## 0.078 0.078
## 0.059 0.058
## -0.853 -0.011
## 6.483 0.016
## 0.221 0.002
## 6.117 0.004
## -0.187 -0.094
##
## -0.101 -0.100
##
## 0.069 0.068
##
## 12.615 0.159
## -19.026 -0.046
## -1.756 -0.019
## -15.922 -0.011
## 0.044 0.022
##
## -3.167 -0.040
## 23.148 0.056
## 2.566 0.027
## -47.216 -0.032
## -0.286 -0.143
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .g ~~
## .BASg -0.179 0.022 -8.159 0.000
## Std.lv Std.all
##
## -0.179 -0.179
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .p 1.000
## .g 1.000
## .BASg 1.000
## .CBCL_Q03_P 0.237 0.006 37.277 0.000
## .CBCL_Q07_P 0.202 0.005 38.787 0.000
## .CBCL_Q109_P 0.204 0.005 39.693 0.000
## .CBCL_Q15_P 0.009 0.002 5.430 0.000
## .CBCL_Q16_P 0.056 0.003 20.737 0.000
## .CBCL_Q19_P 0.178 0.006 29.619 0.000
## .CBCL_Q26_P 0.098 0.005 21.622 0.000
## .CBCL_Q27_P 0.159 0.005 30.304 0.000
## .CBCL_Q34_P 0.052 0.003 15.445 0.000
## .CBCL_Q37_P 0.025 0.002 12.119 0.000
## .CBCL_Q39_P 0.060 0.003 17.192 0.000
## .CBCL_Q43_P 0.144 0.004 33.339 0.000
## .CBCL_Q67_P 0.004 0.001 3.528 0.000
## .CBCL_Q68_P 0.087 0.004 21.990 0.000
## .CBCL_Q72_P 0.005 0.001 4.052 0.000
## .CBCL_Q74_P 0.227 0.006 36.336 0.000
## .CBCL_Q86_P 0.183 0.005 36.929 0.000
## .CBCL_Q87_P 0.133 0.004 29.539 0.000
## .CBCL_Q88_P 0.107 0.004 25.905 0.000
## .CBCL_Q89_P 0.030 0.003 10.350 0.000
## .CBCL_Q90_P 0.068 0.004 15.639 0.000
## .CBCL_Q94_P 0.084 0.004 22.528 0.000
## .CBCL_Q95_P 0.166 0.005 33.387 0.000
## .CBCL_Q96_P 0.008 0.002 4.749 0.000
## .Com1_Attack 0.050 0.002 20.773 0.000
## .Com2_Destroy 0.036 0.002 16.893 0.000
## .Com3_Disobeys 0.114 0.004 32.140 0.000
## .Com4_Steals 0.037 0.002 16.091 0.000
## .Com5_Peer 0.093 0.004 24.946 0.000
## .CBCL_Q112_P 0.181 0.005 33.594 0.000
## .CBCL_Q12_P 0.112 0.005 22.200 0.000
## .CBCL_Q29_P 0.149 0.005 29.461 0.000
## .CBCL_Q30_P 0.045 0.003 13.219 0.000
## .CBCL_Q31_P 0.076 0.004 20.669 0.000
## .CBCL_Q32_P 0.249 0.007 37.111 0.000
## .CBCL_Q35_P 0.106 0.004 26.590 0.000
## .CBCL_Q45_P 0.137 0.005 28.059 0.000
## .CBCL_Q50_P 0.126 0.005 27.262 0.000
## .CBCL_Q52_P 0.066 0.003 19.653 0.000
## .CBCL_Q71_P 0.261 0.006 43.019 0.000
## .CBCL_Q01_P 0.162 0.005 30.317 0.000
## .CBCL_Q04_P 0.226 0.006 36.511 0.000
## .CBCL_Q09_P 0.200 0.006 33.202 0.000
## .CBCL_Q13_P 0.050 0.003 15.078 0.000
## .CBCL_Q17_P 0.210 0.006 34.047 0.000
## .CBCL_Q36_P 0.154 0.006 25.815 0.000
## .CBCL_Q46_P 0.113 0.005 21.046 0.000
## .CBCL_Q61_P 0.101 0.005 22.315 0.000
## .CBCL_Q62_P 0.112 0.005 22.072 0.000
## .CBCL_Q64_P 0.144 0.005 27.288 0.000
## .CBCL_Q66_P 0.066 0.004 15.607 0.000
## .CBCL_Q80_P 0.065 0.003 19.891 0.000
## .CBCL_Q85_P 0.052 0.003 16.835 0.000
## .CBCL_Q93_P 0.238 0.007 34.762 0.000
## .Com6_Distractd 0.189 0.006 30.416 0.000
## .CBCL_Q51_P 0.040 0.003 13.009 0.000
## .CBCL_Q56A_P 0.148 0.005 28.233 0.000
## .CBCL_Q56B_P 0.193 0.006 32.076 0.000
## .CBCL_Q56C_P 0.074 0.004 20.667 0.000
## .CBCL_Q56D_P 0.039 0.004 9.370 0.000
## .CBCL_Q56E_P 0.157 0.007 24.118 0.000
## .CBCL_Q56F_P 0.131 0.006 21.965 0.000
## .CBCL_Q56G_P 0.037 0.003 14.813 0.000
## .CBCL_Q56H_P 0.029 0.003 9.027 0.000
## .CBCL_Q102_P 0.061 0.004 15.968 0.000
## .CBCL_Q111_P 0.042 0.002 17.443 0.000
## .CBCL_Q42_P 0.125 0.005 24.961 0.000
## .CBCL_Q65_P 0.067 0.004 17.157 0.000
## .CBCL_Q75_P 0.164 0.006 27.710 0.000
## .NIHTBX_FLANKER 0.636 0.021 30.110 0.000
## .NIHTBX_CARDSOR 0.471 0.023 20.379 0.000
## .NIHTBX_PATTERN 0.640 0.021 31.192 0.000
## .NIHTBX_PICVOCA 0.534 0.022 24.468 0.000
## .NIHTBX_READING 0.470 0.023 20.799 0.000
## .NIHTBX_PICTURE 0.711 0.019 37.376 0.000
## .PEA_RAVLT_LD_T 0.681 0.021 32.780 0.000
## .NIHTBX_LIST_UN 0.624 0.022 28.297 0.000
## .LMT_SCR_PERC_C 0.753 0.020 36.982 0.000
## .PEA_WISCV_TRS 0.671 0.023 29.557 0.000
## .BISBAS8_Y 0.579 0.018 32.506 0.000
## .BISBAS10_Y 0.590 0.018 32.800 0.000
## .BISBAS11_Y 0.714 0.022 32.925 0.000
## .BISBAS12_Y 0.473 0.016 28.710 0.000
## .BISBAS13_Y 0.501 0.016 30.785 0.000
## .BISBAS14_Y 0.417 0.015 27.257 0.000
## .BISBAS15_Y 0.483 0.015 32.177 0.000
## .BISBAS16_Y 0.663 0.021 30.847 0.000
## .BISBAS17_Y 0.666 0.018 37.891 0.000
## .BISBAS18_Y 0.569 0.019 30.349 0.000
## .BISBAS19_Y 0.676 0.018 37.221 0.000
## .BISBAS20_Y 0.685 0.019 36.614 0.000
## .Ext 0.070 0.005 15.041 0.000
## .Int 0.075 0.006 12.117 0.000
## .Att 0.017 0.002 8.971 0.000
## .Som 0.003 0.001 4.844 0.000
## .Det 0.010 0.001 6.758 0.000
## .EF 0.224 0.015 14.671 0.000
## .verbal 0.198 0.016 12.650 0.000
## .memory 0.076 0.011 6.612 0.000
## .spatial 0.015 0.012 1.251 0.211
## .RR 0.126 0.012 10.421 0.000
## .Drive 0.197 0.015 13.476 0.000
## .Fun 0.130 0.011 11.866 0.000
## Std.lv Std.all
## 0.932 0.932
## 0.976 0.976
## 0.972 0.972
## 0.237 0.563
## 0.202 0.813
## 0.204 0.761
## 0.009 0.942
## 0.056 0.731
## 0.178 0.669
## 0.098 0.722
## 0.159 0.699
## 0.052 0.826
## 0.025 0.812
## 0.060 0.907
## 0.144 0.684
## 0.004 0.952
## 0.087 0.658
## 0.005 0.983
## 0.227 0.800
## 0.183 0.577
## 0.133 0.623
## 0.107 0.709
## 0.030 0.852
## 0.068 0.840
## 0.084 0.815
## 0.166 0.574
## 0.008 0.963
## 0.050 0.719
## 0.036 0.766
## 0.114 0.573
## 0.037 0.818
## 0.093 0.712
## 0.181 0.521
## 0.112 0.810
## 0.149 0.754
## 0.045 0.861
## 0.076 0.784
## 0.249 0.777
## 0.106 0.683
## 0.137 0.594
## 0.126 0.487
## 0.066 0.753
## 0.261 0.687
## 0.162 0.716
## 0.226 0.617
## 0.200 0.641
## 0.050 0.781
## 0.210 0.711
## 0.154 0.854
## 0.113 0.801
## 0.101 0.715
## 0.112 0.764
## 0.144 0.805
## 0.066 0.804
## 0.065 0.735
## 0.052 0.814
## 0.238 0.792
## 0.189 0.496
## 0.040 0.908
## 0.148 0.816
## 0.193 0.769
## 0.074 0.511
## 0.039 0.968
## 0.157 0.946
## 0.131 0.568
## 0.037 0.878
## 0.029 0.939
## 0.061 0.761
## 0.042 0.589
## 0.125 0.692
## 0.067 0.788
## 0.164 0.778
## 0.636 0.643
## 0.471 0.475
## 0.640 0.643
## 0.534 0.531
## 0.470 0.470
## 0.711 0.712
## 0.681 0.680
## 0.624 0.621
## 0.753 0.756
## 0.671 0.669
## 0.579 0.582
## 0.590 0.594
## 0.714 0.712
## 0.473 0.477
## 0.501 0.499
## 0.417 0.418
## 0.483 0.482
## 0.663 0.669
## 0.666 0.663
## 0.569 0.572
## 0.676 0.681
## 0.685 0.683
## 0.383 0.383
## 0.449 0.449
## 0.262 0.262
## 0.725 0.725
## 0.508 0.508
## 0.634 0.634
## 0.420 0.420
## 0.263 0.263
## 0.060 0.060
## 0.302 0.302
## 0.392 0.392
## 0.385 0.385
##
## R-Square:
## Estimate
## p 0.068
## g 0.024
## BASg 0.028
## CBCL_Q03_P 0.437
## CBCL_Q07_P 0.187
## CBCL_Q109_P 0.239
## CBCL_Q15_P 0.058
## CBCL_Q16_P 0.269
## CBCL_Q19_P 0.331
## CBCL_Q26_P 0.278
## CBCL_Q27_P 0.301
## CBCL_Q34_P 0.174
## CBCL_Q37_P 0.188
## CBCL_Q39_P 0.093
## CBCL_Q43_P 0.316
## CBCL_Q67_P 0.048
## CBCL_Q68_P 0.342
## CBCL_Q72_P 0.017
## CBCL_Q74_P 0.200
## CBCL_Q86_P 0.423
## CBCL_Q87_P 0.377
## CBCL_Q88_P 0.291
## CBCL_Q89_P 0.148
## CBCL_Q90_P 0.160
## CBCL_Q94_P 0.185
## CBCL_Q95_P 0.426
## CBCL_Q96_P 0.037
## Com1_Attack 0.281
## Com2_Destroy 0.234
## Com3_Disobeys 0.427
## Com4_Steals 0.182
## Com5_Peer 0.288
## CBCL_Q112_P 0.479
## CBCL_Q12_P 0.190
## CBCL_Q29_P 0.246
## CBCL_Q30_P 0.139
## CBCL_Q31_P 0.216
## CBCL_Q32_P 0.223
## CBCL_Q35_P 0.317
## CBCL_Q45_P 0.406
## CBCL_Q50_P 0.513
## CBCL_Q52_P 0.247
## CBCL_Q71_P 0.313
## CBCL_Q01_P 0.284
## CBCL_Q04_P 0.383
## CBCL_Q09_P 0.359
## CBCL_Q13_P 0.219
## CBCL_Q17_P 0.289
## CBCL_Q36_P 0.146
## CBCL_Q46_P 0.199
## CBCL_Q61_P 0.285
## CBCL_Q62_P 0.236
## CBCL_Q64_P 0.195
## CBCL_Q66_P 0.196
## CBCL_Q80_P 0.265
## CBCL_Q85_P 0.186
## CBCL_Q93_P 0.208
## Com6_Distractd 0.504
## CBCL_Q51_P 0.092
## CBCL_Q56A_P 0.184
## CBCL_Q56B_P 0.231
## CBCL_Q56C_P 0.489
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.054
## CBCL_Q56F_P 0.432
## CBCL_Q56G_P 0.122
## CBCL_Q56H_P 0.061
## CBCL_Q102_P 0.239
## CBCL_Q111_P 0.411
## CBCL_Q42_P 0.308
## CBCL_Q65_P 0.212
## CBCL_Q75_P 0.222
## NIHTBX_FLANKER 0.357
## NIHTBX_CARDSOR 0.525
## NIHTBX_PATTERN 0.357
## NIHTBX_PICVOCA 0.469
## NIHTBX_READING 0.530
## NIHTBX_PICTURE 0.288
## PEA_RAVLT_LD_T 0.320
## NIHTBX_LIST_UN 0.379
## LMT_SCR_PERC_C 0.244
## PEA_WISCV_TRS 0.331
## BISBAS8_Y 0.418
## BISBAS10_Y 0.406
## BISBAS11_Y 0.288
## BISBAS12_Y 0.523
## BISBAS13_Y 0.501
## BISBAS14_Y 0.582
## BISBAS15_Y 0.518
## BISBAS16_Y 0.331
## BISBAS17_Y 0.337
## BISBAS18_Y 0.428
## BISBAS19_Y 0.319
## BISBAS20_Y 0.317
## Ext 0.617
## Int 0.551
## Att 0.738
## Som 0.275
## Det 0.492
## EF 0.366
## verbal 0.580
## memory 0.737
## spatial 0.940
## RR 0.698
## Drive 0.608
## Fun 0.615
##
## Defined Parameters:
## Estimate Std.Err z-value P(>|z|)
## indirectCogG 0.021 0.004 4.674 0.000
## indirectBAS 0.006 0.002 2.694 0.007
## sumIndirect 0.026 0.005 5.366 0.000
## direct 0.061 0.017 3.667 0.000
## total 0.087 0.017 5.193 0.000
## propCogG 0.236 0.063 3.781 0.000
## propBAS 0.064 0.026 2.476 0.013
## propSumIndirct 0.300 0.073 4.112 0.000
## Std.lv Std.all
## 0.020 0.020
## 0.005 0.005
## 0.025 0.025
## 0.059 0.058
## 0.084 0.084
## 0.236 0.236
## 0.064 0.064
## 0.300 0.300ADHD_BAS_G_Mediation.Fit.p5e_2 <- broom::tidy(ADHD_BAS_G_Mediation.Fit ) %>%
filter(op %in% c("~",":=")) %>%
filter(!str_detect(term, "pc")) %>%
filter(!str_detect(term, "cnt")) %>%
filter(!str_detect(term, "SEXnum"))
ADHD_BAS_G_Mediation.Fit.p5e_2 %>% knitr::kable()| term | op | label | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox |
|---|---|---|---|---|---|---|---|---|---|
| p ~ g | ~ | bG | -0.2020048 | 0.0235529 | -8.576633 | 0.0000000 | -0.1973367 | -0.1973367 | -0.1973367 |
| p ~ BASg | ~ | bBASg | 0.0800649 | 0.0220745 | 3.627033 | 0.0002867 | 0.0783606 | 0.0783606 | 0.0783606 |
| p ~ ADHDp5e_2_score | ~ | c | 0.0609161 | 0.0166138 | 3.666604 | 0.0002458 | 0.0587935 | 0.0584772 | 0.0587935 |
| g ~ ADHDp5e_2_score | ~ | aG | -0.1018849 | 0.0179936 | -5.662276 | 0.0000000 | -0.1006609 | -0.1001193 | -0.1006609 |
| BASg ~ ADHDp5e_2_score | ~ | aBASg | 0.0696461 | 0.0176030 | 3.956487 | 0.0000761 | 0.0686813 | 0.0683117 | 0.0686813 |
| indirectCogG := aG*bG | := | indirectCogG | 0.0205812 | 0.0044037 | 4.673623 | 0.0000030 | 0.0198641 | 0.0197572 | 0.0198641 |
| indirectBAS := aBASg*bBASg | := | indirectBAS | 0.0055762 | 0.0020695 | 2.694460 | 0.0070503 | 0.0053819 | 0.0053529 | 0.0053819 |
| sumIndirect := (aGbG)+(aBASgbBASg) | := | sumIndirect | 0.0261574 | 0.0048749 | 5.365738 | 0.0000001 | 0.0252460 | 0.0251102 | 0.0252460 |
| direct := c | := | direct | 0.0609161 | 0.0166138 | 3.666604 | 0.0002458 | 0.0587935 | 0.0584772 | 0.0587935 |
| total := c+(aGbG)+(aBASgbBASg) | := | total | 0.0870735 | 0.0167660 | 5.193465 | 0.0000002 | 0.0840395 | 0.0835873 | 0.0840395 |
| propCogG := indirectCogG/total | := | propCogG | 0.2363661 | 0.0625104 | 3.781227 | 0.0001561 | 0.2363661 | 0.2363661 | 0.2363661 |
| propBAS := indirectBAS/total | := | propBAS | 0.0640402 | 0.0258611 | 2.476311 | 0.0132748 | 0.0640402 | 0.0640402 | 0.0640402 |
| propSumIndirect := sumIndirect/total | := | propSumIndirect | 0.3004063 | 0.0730571 | 4.111937 | 0.0000392 | 0.3004063 | 0.3004063 | 0.3004063 |
ADHD_BAS_G_Mediation.Fit.p5e_2Std <- lavaan::standardizedSolution(ADHD_BAS_G_Mediation.Fit ) %>%
filter(op %in% c("~",":=")) %>%
filter(!str_detect(rhs, "pc")) %>%
filter(!str_detect(rhs, "cnt")) %>%
filter(!str_detect(rhs, "SEXnum"))
ADHD_BAS_G_Mediation.Fit.p5e_2Std %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| p | ~ | g | -0.1973367 | 0.0221455 | -8.910910 | 0.0000000 | -0.2407411 | -0.1539322 |
| p | ~ | BASg | 0.0783606 | 0.0214811 | 3.647885 | 0.0002644 | 0.0362584 | 0.1204627 |
| p | ~ | ADHDp5e_2_score | 0.0584772 | 0.0158901 | 3.680111 | 0.0002331 | 0.0273332 | 0.0896211 |
| g | ~ | ADHDp5e_2_score | -0.1001193 | 0.0175100 | -5.717835 | 0.0000000 | -0.1344383 | -0.0658003 |
| BASg | ~ | ADHDp5e_2_score | 0.0683117 | 0.0171907 | 3.973763 | 0.0000707 | 0.0346186 | 0.1020049 |
| indirectCogG | := | aG*bG | 0.0197572 | 0.0041758 | 4.731357 | 0.0000022 | 0.0115728 | 0.0279416 |
| indirectBAS | := | aBASg*bBASg | 0.0053529 | 0.0019796 | 2.704023 | 0.0068506 | 0.0014730 | 0.0092329 |
| sumIndirect | := | (aGbG)+(aBASgbBASg) | 0.0251102 | 0.0046063 | 5.451244 | 0.0000001 | 0.0160819 | 0.0341384 |
| direct | := | c | 0.0584772 | 0.0158901 | 3.680111 | 0.0002331 | 0.0273332 | 0.0896211 |
| total | := | c+(aGbG)+(aBASgbBASg) | 0.0835873 | 0.0159407 | 5.243635 | 0.0000002 | 0.0523441 | 0.1148306 |
| propCogG | := | indirectCogG/total | 0.2363661 | 0.0625104 | 3.781228 | 0.0001561 | 0.1138479 | 0.3588842 |
| propBAS | := | indirectBAS/total | 0.0640402 | 0.0258611 | 2.476312 | 0.0132748 | 0.0133533 | 0.1147270 |
| propSumIndirect | := | sumIndirect/total | 0.3004063 | 0.0730571 | 4.111937 | 0.0000392 | 0.1572170 | 0.4435956 |
3.5.3 Plot mediation: ADHD PS -> BAS & CogG -> P
s_ADHD_BAS_G_Mediation.Fit.p5e_2 = add.significance.stars(ADHD_BAS_G_Mediation.Fit.p5e_2, cutoffs = c(0.05, 0.01, 0.001))
ax_ADHD_BAS_G_Mediation.Fit.p5e_2 <-gsub(" ", "", paste0(round(ADHD_BAS_G_Mediation.Fit.p5e_2$std.all,3),s_ADHD_BAS_G_Mediation.Fit.p5e_2[,7]))
dir_effect<-gsub(" ","",paste0("(",ax_ADHD_BAS_G_Mediation.Fit.p5e_2[9],")"))
med_effect <- gsub(" ","",paste0(ax_ADHD_BAS_G_Mediation.Fit.p5e_2[10],dir_effect))
E <- matrix(c(
2,1,
3,1,
4,1,
2,3,
3,2,
4,2,
4,3,
3,5,
3,6,
3,7,
3,8,
2,9,
2,10,
2,11,
1,12,
1,13,
14,1,
14,2,
14,3,
1,15,
1,16,
1,17,
4,14,
14,4
),,2,byrow=TRUE)
# aspect <- c(sapply(img, function(x) nrow(x)/ncol(x)),1)
size <- 1*c(rep(10,4),rep(8,10),rep(8,3))
shape <- c(rep("circle",3),rep("rectangle",1),rep("circle",9),rep("rectangle",1),rep("circle",3))
borders = TRUE
Layout <- matrix(c(
5,10,
3,15,
3,6,
1,10,
1,0,
2,0,
3,0,
4,0,
2,18,
4,18,
5,18,
6,18,
6,14,
1,18,
6,10,
6,6,
6,2
),,2,byrow=TRUE)
eCol <- rep(0,nrow(E));eCol[1:16]="black";eCol[17:19]="grey";eCol[20:nrow(E)]="black"
labels <- list(diag_var_list_BBG[19],
diag_var_list_BBG[9],
diag_var_list_BBG[10],
diag_var_list_BBG[12],
diag_var_list_BBG[4],
diag_var_list_BBG[5],
diag_var_list_BBG[6],
diag_var_list_BBG[7],
diag_var_list_BBG[1],
diag_var_list_BBG[2],
diag_var_list_BBG[3],
diag_var_list_BBG[14],
diag_var_list_BBG[15],
diag_var_list_BBG[13],
diag_var_list_BBG[16],
diag_var_list_BBG[17],
diag_var_list_BBG[18]
)
eLabs <- list(
ax_ADHD_BAS_G_Mediation.Fit.p5e_2[2],ax_ADHD_BAS_G_Mediation.Fit.p5e_2[1],med_effect,"","", ax_ADHD_BAS_G_Mediation.Fit.p5e_2[5], ax_ADHD_BAS_G_Mediation.Fit.p5e_2[4],"","","","","","","","","","","","","","","","",""
)
curve <- rep(0,nrow(E));curve[23:24]<-2;curve[4:5]<-1
loopRot <- c(rep(0,2))
node_col <- rep("white",17);node_col[1]<-"darkseagreen1";node_col[2:3]<-"lightblue1";node_col[4]<-"wheat1";node_col[5:11]<-"lightblue1";node_col[12:17]<-"darkseagreen1";node_col[14]<-"wheat1"
qgraph(E,edgelist = TRUE,
vsize = size, shape = shape ,
borders = borders, layout = Layout,
edge.color = eCol, asize = 3, labels = labels,
label.scale.equal = FALSE, bidirectional = TRUE,
mar = c(6,5,9,5), esize = 2, label.cex = 1,
edge.labels = eLabs, edge.label.cex = 1.5,
bg = "transparent", edge.label.bg = "white",
loopRotation = loopRot, curve = curve, curveAll=TRUE,
width = 8, height =5,color=node_col)
3.6 Relationships between MDD PS and specific dimensions of psychopathology
For these follow-up mediation analyses, we started by examining the association between the five specific dimensions (as outcome variables) and each of the PS that was significantly associated with the P-factor (as an explanatory variable). Because the first-order model separately estimated correlations among the five specific dimensions, here we captured the unique associations between each specific dimension and PS (i.e., controlling for the correlations among the dimensions). Only the five specific dimensions of psychopathology that were associated with each PS were used in the final follow-up mediation analyses.
MDD_PFac1stOrder <-'
Ext =~ CBCL_Q03_P + CBCL_Q07_P + CBCL_Q109_P + CBCL_Q15_P + CBCL_Q16_P + CBCL_Q19_P + CBCL_Q26_P + CBCL_Q27_P + CBCL_Q34_P + CBCL_Q37_P + CBCL_Q39_P + CBCL_Q43_P + CBCL_Q67_P + CBCL_Q68_P + CBCL_Q72_P + CBCL_Q74_P + CBCL_Q86_P + CBCL_Q87_P + CBCL_Q88_P + CBCL_Q89_P + CBCL_Q90_P + CBCL_Q94_P + CBCL_Q95_P + CBCL_Q96_P + Com1_Attack + Com2_Destroy + Com3_Disobeys + Com4_Steals + Com5_Peer
NDe =~ CBCL_Q01_P + CBCL_Q04_P + CBCL_Q09_P + CBCL_Q13_P + CBCL_Q17_P + CBCL_Q36_P + CBCL_Q46_P + CBCL_Q61_P + CBCL_Q62_P + CBCL_Q64_P + CBCL_Q66_P + CBCL_Q80_P + CBCL_Q85_P + CBCL_Q93_P + Com6_Distracted
Int =~ CBCL_Q112_P + CBCL_Q12_P + CBCL_Q29_P + CBCL_Q30_P + CBCL_Q31_P + CBCL_Q32_P + CBCL_Q35_P + CBCL_Q45_P + CBCL_Q50_P + CBCL_Q52_P + CBCL_Q71_P
Som =~ CBCL_Q51_P + CBCL_Q56A_P + CBCL_Q56B_P + CBCL_Q56C_P + CBCL_Q56D_P + CBCL_Q56E_P + CBCL_Q56F_P + CBCL_Q56G_P + CBCL_Q56H_P
Det =~ CBCL_Q102_P + CBCL_Q111_P + CBCL_Q42_P + CBCL_Q65_P + CBCL_Q75_P
#regression
Ext ~ wrayMDDp5e_2_score
NDe ~ wrayMDDp5e_2_score
Int ~ wrayMDDp5e_2_score
Som ~ wrayMDDp5e_2_score
Det ~ wrayMDDp5e_2_score
# Ext ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
# NDe ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
# Int ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
# Som ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
# Det ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
Ext ~ pc1 + pc2 + pc3 + pc4 + SEXnum
NDe ~ pc1 + pc2 + pc3 + pc4 + SEXnum
Int ~ pc1 + pc2 + pc3 + pc4 + SEXnum
Som ~ pc1 + pc2 + pc3 + pc4 + SEXnum
Det ~ pc1 + pc2 + pc3 + pc4 + SEXnum
'
MDD_PFac1stOrder.Fit <- lavaan::cfa(model = MDD_PFac1stOrder, data = MostPrsCBCLBISBAS.ScoreScaled, estimator = "MLR")
lavaan::summary(MDD_PFac1stOrder.Fit, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 482 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 178
##
## Used Total
## Number of observations 4804 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 22924.088 13585.726
## Degrees of freedom 2651 2651
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.687
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 92473.527 54753.018
## Degrees of freedom 2760 2760
## P-value 0.000 0.000
## Scaling correction factor 1.689
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.774 0.790
## Tucker-Lewis Index (TLI) 0.765 0.781
##
## Robust Comparative Fit Index (CFI) 0.790
## Robust Tucker-Lewis Index (TLI) 0.781
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -79233.933 -79233.933
## Scaling correction factor 6.295
## for the MLR correction
## Loglikelihood unrestricted model (H1) -67771.889 -67771.889
## Scaling correction factor 1.977
## for the MLR correction
##
## Akaike (AIC) 158823.867 158823.867
## Bayesian (BIC) 159976.809 159976.809
## Sample-size adjusted Bayesian (BIC) 159411.190 159411.190
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.040 0.029
## 90 Percent confidence interval - lower 0.039 0.029
## 90 Percent confidence interval - upper 0.040 0.030
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.038
## 90 Percent confidence interval - lower 0.037
## 90 Percent confidence interval - upper 0.039
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.043 0.043
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## Ext =~
## CBCL_Q03_P 1.000
## CBCL_Q07_P 0.510 0.024 21.181 0.000
## CBCL_Q109_P 0.587 0.022 26.158 0.000
## CBCL_Q15_P 0.053 0.010 5.351 0.000
## CBCL_Q16_P 0.341 0.022 15.501 0.000
## CBCL_Q19_P 0.705 0.024 29.458 0.000
## CBCL_Q26_P 0.455 0.023 19.614 0.000
## CBCL_Q27_P 0.621 0.024 25.646 0.000
## CBCL_Q34_P 0.240 0.021 11.655 0.000
## CBCL_Q37_P 0.180 0.019 9.334 0.000
## CBCL_Q39_P 0.192 0.018 10.492 0.000
## CBCL_Q43_P 0.610 0.023 26.283 0.000
## CBCL_Q67_P 0.031 0.009 3.524 0.000
## CBCL_Q68_P 0.497 0.023 21.753 0.000
## CBCL_Q72_P 0.022 0.006 3.722 0.000
## CBCL_Q74_P 0.564 0.026 21.999 0.000
## CBCL_Q86_P 0.844 0.021 40.111 0.000
## CBCL_Q87_P 0.651 0.024 27.129 0.000
## CBCL_Q88_P 0.484 0.024 20.043 0.000
## CBCL_Q89_P 0.172 0.020 8.596 0.000
## CBCL_Q90_P 0.269 0.023 11.606 0.000
## CBCL_Q94_P 0.326 0.022 14.521 0.000
## CBCL_Q95_P 0.812 0.022 37.654 0.000
## CBCL_Q96_P 0.040 0.011 3.460 0.001
## Com1_Attack 0.333 0.021 15.988 0.000
## Com2_Destroy 0.249 0.020 12.563 0.000
## Com3_Disobeys 0.683 0.019 36.249 0.000
## Com4_Steals 0.211 0.018 11.544 0.000
## Com5_Peer 0.455 0.021 21.400 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.474 0.064 22.929 0.000
## CBCL_Q09_P 1.313 0.060 21.885 0.000
## CBCL_Q13_P 0.462 0.037 12.461 0.000
## CBCL_Q17_P 1.133 0.060 18.971 0.000
## CBCL_Q36_P 0.662 0.042 15.708 0.000
## CBCL_Q46_P 0.659 0.044 14.854 0.000
## CBCL_Q61_P 0.782 0.041 19.150 0.000
## CBCL_Q62_P 0.736 0.041 18.125 0.000
## CBCL_Q64_P 0.720 0.039 18.535 0.000
## CBCL_Q66_P 0.487 0.039 12.522 0.000
## CBCL_Q80_P 0.593 0.041 14.564 0.000
## CBCL_Q85_P 0.430 0.032 13.297 0.000
## CBCL_Q93_P 1.001 0.053 18.851 0.000
## Com6_Distractd 1.727 0.070 24.818 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.394 0.025 15.603 0.000
## CBCL_Q29_P 0.531 0.025 21.315 0.000
## CBCL_Q30_P 0.213 0.021 10.379 0.000
## CBCL_Q31_P 0.352 0.023 15.371 0.000
## CBCL_Q32_P 0.662 0.028 24.064 0.000
## CBCL_Q35_P 0.536 0.026 20.571 0.000
## CBCL_Q45_P 0.746 0.024 30.470 0.000
## CBCL_Q50_P 0.891 0.021 41.886 0.000
## CBCL_Q52_P 0.366 0.024 15.538 0.000
## CBCL_Q71_P 0.852 0.027 31.610 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.752 0.290 9.476 0.000
## CBCL_Q56B_P 3.595 0.355 10.137 0.000
## CBCL_Q56C_P 3.919 0.417 9.408 0.000
## CBCL_Q56D_P 0.544 0.097 5.615 0.000
## CBCL_Q56E_P 1.471 0.195 7.561 0.000
## CBCL_Q56F_P 4.736 0.488 9.704 0.000
## CBCL_Q56G_P 1.006 0.143 7.043 0.000
## CBCL_Q56H_P 0.651 0.120 5.406 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.244 0.085 14.552 0.000
## CBCL_Q42_P 1.723 0.138 12.514 0.000
## CBCL_Q65_P 0.960 0.098 9.777 0.000
## CBCL_Q75_P 1.622 0.147 11.050 0.000
## Std.lv Std.all
##
## 0.430 0.661
## 0.219 0.440
## 0.252 0.485
## 0.023 0.238
## 0.147 0.526
## 0.303 0.583
## 0.195 0.533
## 0.267 0.555
## 0.103 0.412
## 0.077 0.444
## 0.083 0.323
## 0.262 0.565
## 0.013 0.206
## 0.213 0.582
## 0.009 0.126
## 0.242 0.454
## 0.363 0.643
## 0.280 0.606
## 0.208 0.534
## 0.074 0.394
## 0.116 0.403
## 0.140 0.433
## 0.349 0.650
## 0.017 0.185
## 0.143 0.538
## 0.107 0.492
## 0.293 0.656
## 0.091 0.428
## 0.195 0.534
##
## 0.255 0.531
## 0.376 0.623
## 0.334 0.600
## 0.118 0.464
## 0.289 0.530
## 0.169 0.394
## 0.168 0.444
## 0.199 0.530
## 0.188 0.488
## 0.183 0.433
## 0.124 0.432
## 0.151 0.503
## 0.110 0.429
## 0.255 0.464
## 0.440 0.713
##
## 0.408 0.692
## 0.161 0.431
## 0.217 0.490
## 0.087 0.373
## 0.143 0.463
## 0.270 0.478
## 0.219 0.554
## 0.304 0.635
## 0.363 0.716
## 0.149 0.499
## 0.347 0.564
##
## 0.067 0.320
## 0.185 0.435
## 0.241 0.483
## 0.263 0.695
## 0.037 0.180
## 0.099 0.242
## 0.318 0.665
## 0.068 0.332
## 0.044 0.248
##
## 0.137 0.482
## 0.170 0.639
## 0.236 0.553
## 0.131 0.456
## 0.222 0.484
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## Ext ~
## wryMDDp5_2_scr 0.027 0.006 4.398 0.000
## NDe ~
## wryMDDp5_2_scr 0.013 0.004 3.428 0.001
## Int ~
## wryMDDp5_2_scr 0.027 0.006 4.185 0.000
## Som ~
## wryMDDp5_2_scr 0.004 0.001 3.490 0.000
## Det ~
## wryMDDp5_2_scr 0.008 0.002 3.509 0.000
## Ext ~
## pc1 -0.251 1.683 -0.149 0.881
## pc2 0.881 8.496 0.104 0.917
## pc3 0.241 0.361 0.669 0.504
## pc4 -0.689 0.153 -4.508 0.000
## SEXnum -0.095 0.013 -7.364 0.000
## NDe ~
## pc1 -0.716 0.890 -0.804 0.421
## pc2 -0.061 4.470 -0.014 0.989
## pc3 0.213 0.183 1.163 0.245
## pc4 -0.016 0.050 -0.313 0.754
## SEXnum -0.073 0.009 -8.536 0.000
## Int ~
## pc1 -0.269 1.672 -0.161 0.872
## pc2 -0.060 8.193 -0.007 0.994
## pc3 0.180 0.367 0.491 0.623
## pc4 -0.536 0.083 -6.427 0.000
## SEXnum -0.012 0.013 -0.937 0.349
## Som ~
## pc1 -0.124 0.250 -0.498 0.619
## pc2 0.434 1.268 0.342 0.732
## pc3 0.214 0.057 3.760 0.000
## pc4 0.017 0.015 1.152 0.249
## SEXnum 0.009 0.003 3.543 0.000
## Det ~
## pc1 -0.046 0.563 -0.082 0.935
## pc2 -1.246 2.711 -0.459 0.646
## pc3 0.010 0.105 0.097 0.923
## pc4 0.358 0.056 6.434 0.000
## SEXnum -0.019 0.005 -3.700 0.000
## Std.lv Std.all
##
## 0.062 0.062
##
## 0.052 0.052
##
## 0.065 0.065
##
## 0.061 0.061
##
## 0.060 0.060
##
## -0.584 -0.007
## 2.050 0.005
## 0.561 0.006
## -1.603 -0.012
## -0.220 -0.110
##
## -2.811 -0.035
## -0.240 -0.001
## 0.838 0.009
## -0.062 -0.000
## -0.286 -0.143
##
## -0.660 -0.008
## -0.148 -0.000
## 0.442 0.005
## -1.315 -0.009
## -0.030 -0.015
##
## -1.849 -0.023
## 6.462 0.016
## 3.191 0.033
## 0.254 0.002
## 0.133 0.066
##
## -0.337 -0.004
## -9.098 -0.022
## 0.074 0.001
## 2.617 0.019
## -0.136 -0.068
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .Ext ~~
## .NDe 0.075 0.004 18.235 0.000
## .Int 0.096 0.004 21.294 0.000
## .Som 0.011 0.001 8.165 0.000
## .Det 0.030 0.003 10.220 0.000
## .NDe ~~
## .Int 0.062 0.004 17.709 0.000
## .Som 0.007 0.001 7.543 0.000
## .Det 0.019 0.002 8.948 0.000
## .Int ~~
## .Som 0.014 0.002 8.296 0.000
## .Det 0.034 0.003 11.331 0.000
## .Som ~~
## .Det 0.004 0.001 6.022 0.000
## Std.lv Std.all
##
## 0.697 0.697
## 0.552 0.552
## 0.385 0.385
## 0.508 0.508
##
## 0.610 0.610
## 0.418 0.418
## 0.566 0.566
##
## 0.512 0.512
## 0.611 0.611
##
## 0.392 0.392
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .CBCL_Q03_P 0.238 0.006 38.456 0.000
## .CBCL_Q07_P 0.201 0.005 39.959 0.000
## .CBCL_Q109_P 0.208 0.005 41.299 0.000
## .CBCL_Q15_P 0.009 0.002 5.690 0.000
## .CBCL_Q16_P 0.056 0.003 21.470 0.000
## .CBCL_Q19_P 0.178 0.006 30.794 0.000
## .CBCL_Q26_P 0.096 0.004 22.457 0.000
## .CBCL_Q27_P 0.160 0.005 31.670 0.000
## .CBCL_Q34_P 0.052 0.003 16.043 0.000
## .CBCL_Q37_P 0.024 0.002 12.622 0.000
## .CBCL_Q39_P 0.059 0.003 17.860 0.000
## .CBCL_Q43_P 0.147 0.004 34.238 0.000
## .CBCL_Q67_P 0.004 0.001 3.648 0.000
## .CBCL_Q68_P 0.089 0.004 22.969 0.000
## .CBCL_Q72_P 0.005 0.001 4.273 0.000
## .CBCL_Q74_P 0.226 0.006 37.639 0.000
## .CBCL_Q86_P 0.186 0.005 38.334 0.000
## .CBCL_Q87_P 0.134 0.004 31.181 0.000
## .CBCL_Q88_P 0.108 0.004 26.743 0.000
## .CBCL_Q89_P 0.030 0.003 10.692 0.000
## .CBCL_Q90_P 0.069 0.004 16.194 0.000
## .CBCL_Q94_P 0.085 0.004 22.753 0.000
## .CBCL_Q95_P 0.167 0.005 34.733 0.000
## .CBCL_Q96_P 0.008 0.002 4.913 0.000
## .Com1_Attack 0.050 0.002 21.787 0.000
## .Com2_Destroy 0.036 0.002 17.679 0.000
## .Com3_Disobeys 0.114 0.003 33.515 0.000
## .Com4_Steals 0.037 0.002 16.223 0.000
## .Com5_Peer 0.096 0.004 26.165 0.000
## .CBCL_Q01_P 0.165 0.005 31.766 0.000
## .CBCL_Q04_P 0.223 0.006 38.053 0.000
## .CBCL_Q09_P 0.199 0.006 34.213 0.000
## .CBCL_Q13_P 0.050 0.003 15.819 0.000
## .CBCL_Q17_P 0.213 0.006 35.770 0.000
## .CBCL_Q36_P 0.155 0.006 27.038 0.000
## .CBCL_Q46_P 0.115 0.005 21.645 0.000
## .CBCL_Q61_P 0.102 0.004 23.215 0.000
## .CBCL_Q62_P 0.113 0.005 22.875 0.000
## .CBCL_Q64_P 0.146 0.005 28.153 0.000
## .CBCL_Q66_P 0.067 0.004 16.124 0.000
## .CBCL_Q80_P 0.067 0.003 20.832 0.000
## .CBCL_Q85_P 0.053 0.003 17.408 0.000
## .CBCL_Q93_P 0.238 0.007 35.704 0.000
## .Com6_Distractd 0.187 0.006 31.607 0.000
## .CBCL_Q112_P 0.181 0.005 35.061 0.000
## .CBCL_Q12_P 0.113 0.005 23.138 0.000
## .CBCL_Q29_P 0.149 0.005 30.790 0.000
## .CBCL_Q30_P 0.047 0.003 14.039 0.000
## .CBCL_Q31_P 0.075 0.004 21.418 0.000
## .CBCL_Q32_P 0.247 0.006 38.444 0.000
## .CBCL_Q35_P 0.108 0.004 27.621 0.000
## .CBCL_Q45_P 0.137 0.005 28.965 0.000
## .CBCL_Q50_P 0.126 0.004 28.546 0.000
## .CBCL_Q52_P 0.067 0.003 20.353 0.000
## .CBCL_Q71_P 0.259 0.006 44.249 0.000
## .CBCL_Q51_P 0.040 0.003 13.756 0.000
## .CBCL_Q56A_P 0.146 0.005 29.168 0.000
## .CBCL_Q56B_P 0.192 0.006 33.279 0.000
## .CBCL_Q56C_P 0.074 0.003 21.872 0.000
## .CBCL_Q56D_P 0.040 0.004 9.753 0.000
## .CBCL_Q56E_P 0.157 0.006 24.824 0.000
## .CBCL_Q56F_P 0.128 0.006 23.144 0.000
## .CBCL_Q56G_P 0.037 0.002 15.145 0.000
## .CBCL_Q56H_P 0.029 0.003 9.539 0.000
## .CBCL_Q102_P 0.062 0.004 16.898 0.000
## .CBCL_Q111_P 0.042 0.002 18.105 0.000
## .CBCL_Q42_P 0.126 0.005 25.728 0.000
## .CBCL_Q65_P 0.066 0.004 17.965 0.000
## .CBCL_Q75_P 0.161 0.006 28.095 0.000
## .Ext 0.182 0.007 24.604 0.000
## .NDe 0.063 0.005 12.778 0.000
## .Int 0.166 0.007 22.401 0.000
## .Som 0.004 0.001 5.062 0.000
## .Det 0.019 0.003 6.711 0.000
## Std.lv Std.all
## 0.238 0.564
## 0.201 0.807
## 0.208 0.765
## 0.009 0.943
## 0.056 0.723
## 0.178 0.660
## 0.096 0.716
## 0.160 0.692
## 0.052 0.830
## 0.024 0.803
## 0.059 0.896
## 0.147 0.681
## 0.004 0.957
## 0.089 0.661
## 0.005 0.984
## 0.226 0.794
## 0.186 0.586
## 0.134 0.632
## 0.108 0.715
## 0.030 0.845
## 0.069 0.838
## 0.085 0.812
## 0.167 0.578
## 0.008 0.966
## 0.050 0.711
## 0.036 0.758
## 0.114 0.569
## 0.037 0.817
## 0.096 0.714
## 0.165 0.718
## 0.223 0.612
## 0.199 0.640
## 0.050 0.785
## 0.213 0.719
## 0.155 0.845
## 0.115 0.803
## 0.102 0.720
## 0.113 0.762
## 0.146 0.812
## 0.067 0.814
## 0.067 0.747
## 0.053 0.816
## 0.238 0.785
## 0.187 0.491
## 0.181 0.522
## 0.113 0.814
## 0.149 0.760
## 0.047 0.861
## 0.075 0.785
## 0.247 0.772
## 0.108 0.693
## 0.137 0.597
## 0.126 0.487
## 0.067 0.751
## 0.259 0.682
## 0.040 0.898
## 0.146 0.811
## 0.192 0.767
## 0.074 0.517
## 0.040 0.968
## 0.157 0.941
## 0.128 0.558
## 0.037 0.890
## 0.029 0.939
## 0.062 0.768
## 0.042 0.592
## 0.126 0.694
## 0.066 0.792
## 0.161 0.766
## 0.984 0.984
## 0.976 0.976
## 0.995 0.995
## 0.991 0.991
## 0.991 0.991
##
## R-Square:
## Estimate
## CBCL_Q03_P 0.436
## CBCL_Q07_P 0.193
## CBCL_Q109_P 0.235
## CBCL_Q15_P 0.057
## CBCL_Q16_P 0.277
## CBCL_Q19_P 0.340
## CBCL_Q26_P 0.284
## CBCL_Q27_P 0.308
## CBCL_Q34_P 0.170
## CBCL_Q37_P 0.197
## CBCL_Q39_P 0.104
## CBCL_Q43_P 0.319
## CBCL_Q67_P 0.043
## CBCL_Q68_P 0.339
## CBCL_Q72_P 0.016
## CBCL_Q74_P 0.206
## CBCL_Q86_P 0.414
## CBCL_Q87_P 0.368
## CBCL_Q88_P 0.285
## CBCL_Q89_P 0.155
## CBCL_Q90_P 0.162
## CBCL_Q94_P 0.188
## CBCL_Q95_P 0.422
## CBCL_Q96_P 0.034
## Com1_Attack 0.289
## Com2_Destroy 0.242
## Com3_Disobeys 0.431
## Com4_Steals 0.183
## Com5_Peer 0.286
## CBCL_Q01_P 0.282
## CBCL_Q04_P 0.388
## CBCL_Q09_P 0.360
## CBCL_Q13_P 0.215
## CBCL_Q17_P 0.281
## CBCL_Q36_P 0.155
## CBCL_Q46_P 0.197
## CBCL_Q61_P 0.280
## CBCL_Q62_P 0.238
## CBCL_Q64_P 0.188
## CBCL_Q66_P 0.186
## CBCL_Q80_P 0.253
## CBCL_Q85_P 0.184
## CBCL_Q93_P 0.215
## Com6_Distractd 0.509
## CBCL_Q112_P 0.478
## CBCL_Q12_P 0.186
## CBCL_Q29_P 0.240
## CBCL_Q30_P 0.139
## CBCL_Q31_P 0.215
## CBCL_Q32_P 0.228
## CBCL_Q35_P 0.307
## CBCL_Q45_P 0.403
## CBCL_Q50_P 0.513
## CBCL_Q52_P 0.249
## CBCL_Q71_P 0.318
## CBCL_Q51_P 0.102
## CBCL_Q56A_P 0.189
## CBCL_Q56B_P 0.233
## CBCL_Q56C_P 0.483
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.059
## CBCL_Q56F_P 0.442
## CBCL_Q56G_P 0.110
## CBCL_Q56H_P 0.061
## CBCL_Q102_P 0.232
## CBCL_Q111_P 0.408
## CBCL_Q42_P 0.306
## CBCL_Q65_P 0.208
## CBCL_Q75_P 0.234
## Ext 0.016
## NDe 0.024
## Int 0.005
## Som 0.009
## Det 0.009MDD_PFac1stOrder.Fit.p5e_2 <- broom::tidy(MDD_PFac1stOrder.Fit) %>%
filter(op == "~") %>%
filter(str_detect(term, "score"))
MDD_PFac1stOrder.Fit.p5e_2 %>% knitr::kable()| term | op | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox |
|---|---|---|---|---|---|---|---|---|
| Ext ~ wrayMDDp5e_2_score | ~ | 0.0267921 | 0.0060916 | 4.398178 | 0.0000109 | 0.0623432 | 0.0623558 | 0.0623432 |
| NDe ~ wrayMDDp5e_2_score | ~ | 0.0132510 | 0.0038659 | 3.427672 | 0.0006088 | 0.0520124 | 0.0520229 | 0.0520124 |
| Int ~ wrayMDDp5e_2_score | ~ | 0.0265901 | 0.0063539 | 4.184876 | 0.0000285 | 0.0651750 | 0.0651882 | 0.0651750 |
| Som ~ wrayMDDp5e_2_score | ~ | 0.0041261 | 0.0011823 | 3.490021 | 0.0004830 | 0.0614383 | 0.0614507 | 0.0614383 |
| Det ~ wrayMDDp5e_2_score | ~ | 0.0082631 | 0.0023547 | 3.509219 | 0.0004494 | 0.0603549 | 0.0603671 | 0.0603549 |
MDD_PFac1stOrder.Fit.p5e_2Std <- lavaan::standardizedSolution(MDD_PFac1stOrder.Fit) %>%
filter(op == "~") %>%
filter(str_detect(rhs, "score"))
MDD_PFac1stOrder.Fit.p5e_2Std %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| Ext | ~ | wrayMDDp5e_2_score | 0.0623558 | 0.0140453 | 4.439608 | 0.0000090 | 0.0348275 | 0.0898842 |
| NDe | ~ | wrayMDDp5e_2_score | 0.0520229 | 0.0149610 | 3.477239 | 0.0005066 | 0.0226999 | 0.0813459 |
| Int | ~ | wrayMDDp5e_2_score | 0.0651882 | 0.0154547 | 4.218006 | 0.0000246 | 0.0348974 | 0.0954789 |
| Som | ~ | wrayMDDp5e_2_score | 0.0614507 | 0.0160882 | 3.819609 | 0.0001337 | 0.0299184 | 0.0929831 |
| Det | ~ | wrayMDDp5e_2_score | 0.0603671 | 0.0166547 | 3.624621 | 0.0002894 | 0.0277244 | 0.0930098 |
3.6.1 Plot relationships between MDD PS and specific dimensions of psychopathology
##specify node names
N_name<- c("Ext", "Neuro\nDev", "Int", "Somatic", "Detach","MDD\nPS","ADHD\nPS","Con\nVars")
Plot_PRS_SEM_1order_3= function(var_name, Prs_number, edge_labels){
##label the axis
#edge_labels=MDD_PFac1stOrder.Fit.p5e_2
s = add.significance.stars(edge_labels, cutoffs = c(0.05, 0.01, 0.001))
ax <-gsub(" ","",paste0(round(edge_labels$std.all,3),s[,6]))
#ax = edge_labels
### specify edge and node
E <- matrix(c(
1,3, # Loading
1,4, # Loading
1,5, # Loading
1,6, # Loading
1,7,
3,4,
4,3,
3,5,
5,3,
3,6,
6,3,
3,7,
7,3,
4,5,
5,4,
4,6,
6,4,
4,7,
7,4,
5,6,
6,5,
5,7,
7,5,
6,7,
7,6,
2,3, # Loading
2,4, # Loading
2,5, # Loading
2,6, # Loading
2,7,
2,1,
1,2
),,2,byrow=TRUE)
# aspect <- c(sapply(img, function(x) nrow(x)/ncol(x)),1)
size <- 1*c(rep(14,2),rep(12,5))
shape <- c(rep("rectangle",2),rep("circle",5))
borders = TRUE
Layout <- matrix(c(
1,10,
2,1,
3,12,
3,9,
3,6,
3,3,
3,0
),,2,byrow=TRUE)
eCol <- rep(0,nrow(E))
eCol[1:25] <- "black";eCol[26:nrow(E)]<-"grey"; eCol[31:32] <- "black"
labels <- list(var_name[Prs_number],
var_name[8],
var_name[1],
var_name[2],
var_name[3],
var_name[4],
var_name[5]
)
eLabs <- list(
ax[1],
ax[2],
ax[3],
ax[4],
ax[5],"","","","","","","","","","","","","","","","","","","","","","","","","","","")
curve <- rep(0,nrow(E))
curve[6:nrow(E)] <- 2;curve[6:7]<-curve[14:15]<-curve[20:21]<-curve[24:25]<-4;curve[26:nrow(E)]<-0;curve[31:31]<-2
loopRot <- c(rep(0,2))
node_col <- rep("white",7);node_col[3:7]<-"darkseagreen1";node_col[1:2]<- "wheat1"
qgraph(E,edgelist = TRUE,
vsize = size, shape = shape ,
borders = borders, layout = Layout,
edge.color = eCol, asize = 3, labels = labels,
label.scale.equal = FALSE, bidirectional = TRUE,
mar = c(6,5,9,5), esize = 2, label.cex = 1,
edge.labels = eLabs, edge.label.cex = 1.5,
bg = "transparent", edge.label.bg = "white",
loopRotation = loopRot, curve = curve, curveAll=TRUE,
width = 8, height = 5,color=node_col)
}
Plot_PRS_SEM_1order_3(var_name=N_name, Prs_number=6, edge_labels=MDD_PFac1stOrder.Fit.p5e_2)
3.7 Relationships between ADHD PS and specific dimensions of psychopathology
For these follow-up mediation analyses, we started by examining the association between the five specific dimensions (as outcome variables) and each of the PS that was significantly associated with the P-factor (as an explanatory variable). Because the first-order model separately estimated correlations among the five specific dimensions, here we captured the unique associations between each specific dimension and PS (i.e., controlling for the correlations among the dimensions). Only the five specific dimensions of psychopathology that were associated with each PS were used in the final follow-up mediation analyses.
ADHD_PFac1stOrder <-'
Ext =~ CBCL_Q03_P + CBCL_Q07_P + CBCL_Q109_P + CBCL_Q15_P + CBCL_Q16_P + CBCL_Q19_P + CBCL_Q26_P + CBCL_Q27_P + CBCL_Q34_P + CBCL_Q37_P + CBCL_Q39_P + CBCL_Q43_P + CBCL_Q67_P + CBCL_Q68_P + CBCL_Q72_P + CBCL_Q74_P + CBCL_Q86_P + CBCL_Q87_P + CBCL_Q88_P + CBCL_Q89_P + CBCL_Q90_P + CBCL_Q94_P + CBCL_Q95_P + CBCL_Q96_P + Com1_Attack + Com2_Destroy + Com3_Disobeys + Com4_Steals + Com5_Peer
NDe =~ CBCL_Q01_P + CBCL_Q04_P + CBCL_Q09_P + CBCL_Q13_P + CBCL_Q17_P + CBCL_Q36_P + CBCL_Q46_P + CBCL_Q61_P + CBCL_Q62_P + CBCL_Q64_P + CBCL_Q66_P + CBCL_Q80_P + CBCL_Q85_P + CBCL_Q93_P + Com6_Distracted
Int =~ CBCL_Q112_P + CBCL_Q12_P + CBCL_Q29_P + CBCL_Q30_P + CBCL_Q31_P + CBCL_Q32_P + CBCL_Q35_P + CBCL_Q45_P + CBCL_Q50_P + CBCL_Q52_P + CBCL_Q71_P
Som =~ CBCL_Q51_P + CBCL_Q56A_P + CBCL_Q56B_P + CBCL_Q56C_P + CBCL_Q56D_P + CBCL_Q56E_P + CBCL_Q56F_P + CBCL_Q56G_P + CBCL_Q56H_P
Det =~ CBCL_Q102_P + CBCL_Q111_P + CBCL_Q42_P + CBCL_Q65_P + CBCL_Q75_P
#regression
Ext ~ ADHDp5e_2_score
NDe ~ ADHDp5e_2_score
Int ~ ADHDp5e_2_score
Som ~ ADHDp5e_2_score
Det ~ ADHDp5e_2_score
# Ext ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
# NDe ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
# Int ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
# Som ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
# Det ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
Ext ~ pc1 + pc2 + pc3 + pc4 + SEXnum
NDe ~ pc1 + pc2 + pc3 + pc4 + SEXnum
Int ~ pc1 + pc2 + pc3 + pc4 + SEXnum
Som ~ pc1 + pc2 + pc3 + pc4 + SEXnum
Det ~ pc1 + pc2 + pc3 + pc4 + SEXnum
'
ADHD_PFac1stOrder.Fit <- lavaan::cfa(model = ADHD_PFac1stOrder, data = MostPrsCBCLBISBAS.ScoreScaled, estimator = "MLR")
lavaan::summary(ADHD_PFac1stOrder.Fit, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 469 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 178
##
## Used Total
## Number of observations 4804 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 22948.523 13598.529
## Degrees of freedom 2651 2651
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.688
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 92533.909 54779.047
## Degrees of freedom 2760 2760
## P-value 0.000 0.000
## Scaling correction factor 1.689
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.774 0.790
## Tucker-Lewis Index (TLI) 0.765 0.781
##
## Robust Comparative Fit Index (CFI) 0.790
## Robust Tucker-Lewis Index (TLI) 0.781
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -79217.240 -79217.240
## Scaling correction factor 6.297
## for the MLR correction
## Loglikelihood unrestricted model (H1) -67742.978 -67742.978
## Scaling correction factor 1.978
## for the MLR correction
##
## Akaike (AIC) 158790.480 158790.480
## Bayesian (BIC) 159943.422 159943.422
## Sample-size adjusted Bayesian (BIC) 159377.803 159377.803
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.040 0.029
## 90 Percent confidence interval - lower 0.039 0.029
## 90 Percent confidence interval - upper 0.040 0.030
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.038
## 90 Percent confidence interval - lower 0.037
## 90 Percent confidence interval - upper 0.039
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.043 0.043
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## Ext =~
## CBCL_Q03_P 1.000
## CBCL_Q07_P 0.510 0.024 21.180 0.000
## CBCL_Q109_P 0.587 0.022 26.148 0.000
## CBCL_Q15_P 0.053 0.010 5.353 0.000
## CBCL_Q16_P 0.341 0.022 15.508 0.000
## CBCL_Q19_P 0.705 0.024 29.456 0.000
## CBCL_Q26_P 0.455 0.023 19.616 0.000
## CBCL_Q27_P 0.621 0.024 25.649 0.000
## CBCL_Q34_P 0.240 0.021 11.657 0.000
## CBCL_Q37_P 0.180 0.019 9.340 0.000
## CBCL_Q39_P 0.192 0.018 10.493 0.000
## CBCL_Q43_P 0.610 0.023 26.289 0.000
## CBCL_Q67_P 0.031 0.009 3.524 0.000
## CBCL_Q68_P 0.497 0.023 21.766 0.000
## CBCL_Q72_P 0.021 0.006 3.718 0.000
## CBCL_Q74_P 0.564 0.026 22.010 0.000
## CBCL_Q86_P 0.843 0.021 40.094 0.000
## CBCL_Q87_P 0.650 0.024 27.117 0.000
## CBCL_Q88_P 0.484 0.024 20.041 0.000
## CBCL_Q89_P 0.172 0.020 8.596 0.000
## CBCL_Q90_P 0.269 0.023 11.608 0.000
## CBCL_Q94_P 0.327 0.022 14.530 0.000
## CBCL_Q95_P 0.812 0.022 37.649 0.000
## CBCL_Q96_P 0.040 0.011 3.462 0.001
## Com1_Attack 0.333 0.021 15.992 0.000
## Com2_Destroy 0.249 0.020 12.560 0.000
## Com3_Disobeys 0.683 0.019 36.270 0.000
## Com4_Steals 0.211 0.018 11.546 0.000
## Com5_Peer 0.455 0.021 21.409 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.474 0.064 22.941 0.000
## CBCL_Q09_P 1.312 0.060 21.892 0.000
## CBCL_Q13_P 0.461 0.037 12.463 0.000
## CBCL_Q17_P 1.132 0.060 18.983 0.000
## CBCL_Q36_P 0.662 0.042 15.712 0.000
## CBCL_Q46_P 0.658 0.044 14.852 0.000
## CBCL_Q61_P 0.782 0.041 19.160 0.000
## CBCL_Q62_P 0.736 0.041 18.122 0.000
## CBCL_Q64_P 0.720 0.039 18.537 0.000
## CBCL_Q66_P 0.487 0.039 12.520 0.000
## CBCL_Q80_P 0.593 0.041 14.570 0.000
## CBCL_Q85_P 0.430 0.032 13.294 0.000
## CBCL_Q93_P 1.002 0.053 18.854 0.000
## Com6_Distractd 1.728 0.070 24.823 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.393 0.025 15.596 0.000
## CBCL_Q29_P 0.531 0.025 21.318 0.000
## CBCL_Q30_P 0.213 0.020 10.372 0.000
## CBCL_Q31_P 0.352 0.023 15.379 0.000
## CBCL_Q32_P 0.662 0.028 24.078 0.000
## CBCL_Q35_P 0.536 0.026 20.575 0.000
## CBCL_Q45_P 0.745 0.024 30.438 0.000
## CBCL_Q50_P 0.890 0.021 41.875 0.000
## CBCL_Q52_P 0.366 0.024 15.539 0.000
## CBCL_Q71_P 0.851 0.027 31.626 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.755 0.291 9.471 0.000
## CBCL_Q56B_P 3.597 0.355 10.129 0.000
## CBCL_Q56C_P 3.924 0.417 9.404 0.000
## CBCL_Q56D_P 0.544 0.097 5.613 0.000
## CBCL_Q56E_P 1.472 0.195 7.558 0.000
## CBCL_Q56F_P 4.741 0.489 9.701 0.000
## CBCL_Q56G_P 1.008 0.143 7.045 0.000
## CBCL_Q56H_P 0.652 0.121 5.404 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.245 0.086 14.552 0.000
## CBCL_Q42_P 1.724 0.138 12.505 0.000
## CBCL_Q65_P 0.961 0.098 9.771 0.000
## CBCL_Q75_P 1.625 0.147 11.047 0.000
## Std.lv Std.all
##
## 0.430 0.661
## 0.219 0.440
## 0.252 0.484
## 0.023 0.238
## 0.147 0.526
## 0.303 0.583
## 0.195 0.533
## 0.267 0.555
## 0.103 0.412
## 0.077 0.444
## 0.083 0.323
## 0.262 0.565
## 0.013 0.206
## 0.214 0.582
## 0.009 0.126
## 0.243 0.454
## 0.362 0.643
## 0.280 0.606
## 0.208 0.534
## 0.074 0.394
## 0.116 0.403
## 0.140 0.433
## 0.349 0.649
## 0.017 0.185
## 0.143 0.538
## 0.107 0.492
## 0.293 0.656
## 0.091 0.428
## 0.196 0.535
##
## 0.255 0.531
## 0.376 0.623
## 0.334 0.600
## 0.118 0.464
## 0.288 0.530
## 0.169 0.394
## 0.168 0.444
## 0.199 0.530
## 0.188 0.488
## 0.183 0.433
## 0.124 0.431
## 0.151 0.502
## 0.110 0.429
## 0.255 0.464
## 0.440 0.714
##
## 0.408 0.692
## 0.160 0.431
## 0.217 0.490
## 0.087 0.373
## 0.143 0.464
## 0.270 0.478
## 0.219 0.554
## 0.304 0.634
## 0.363 0.716
## 0.149 0.499
## 0.347 0.563
##
## 0.067 0.319
## 0.185 0.435
## 0.241 0.483
## 0.263 0.695
## 0.037 0.179
## 0.099 0.242
## 0.318 0.665
## 0.068 0.332
## 0.044 0.248
##
## 0.137 0.482
## 0.170 0.639
## 0.236 0.553
## 0.131 0.456
## 0.222 0.484
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## Ext ~
## ADHDp5e_2_scor 0.040 0.006 6.436 0.000
## NDe ~
## ADHDp5e_2_scor 0.022 0.004 5.667 0.000
## Int ~
## ADHDp5e_2_scor 0.008 0.007 1.169 0.242
## Som ~
## ADHDp5e_2_scor 0.003 0.001 2.306 0.021
## Det ~
## ADHDp5e_2_scor -0.000 0.002 -0.009 0.993
## Ext ~
## pc1 -0.139 1.665 -0.083 0.934
## pc2 0.829 8.462 0.098 0.922
## pc3 0.327 0.365 0.894 0.371
## pc4 -0.751 0.146 -5.136 0.000
## SEXnum -0.096 0.013 -7.517 0.000
## NDe ~
## pc1 -0.664 0.883 -0.753 0.452
## pc2 -0.085 4.441 -0.019 0.985
## pc3 0.260 0.184 1.413 0.158
## pc4 -0.049 0.052 -0.937 0.349
## SEXnum -0.074 0.009 -8.651 0.000
## Int ~
## pc1 -0.127 1.669 -0.076 0.939
## pc2 -0.037 8.195 -0.005 0.996
## pc3 0.198 0.369 0.538 0.591
## pc4 -0.528 0.086 -6.168 0.000
## SEXnum -0.013 0.013 -1.005 0.315
## Som ~
## pc1 -0.103 0.249 -0.415 0.678
## pc2 0.434 1.271 0.341 0.733
## pc3 0.220 0.057 3.823 0.000
## pc4 0.015 0.015 0.993 0.321
## SEXnum 0.009 0.003 3.480 0.001
## Det ~
## pc1 -0.005 0.563 -0.008 0.994
## pc2 -1.206 2.717 -0.444 0.657
## pc3 0.010 0.105 0.092 0.926
## pc4 0.363 0.056 6.509 0.000
## SEXnum -0.019 0.005 -3.732 0.000
## Std.lv Std.all
##
## 0.094 0.094
##
## 0.087 0.087
##
## 0.019 0.019
##
## 0.039 0.039
##
## -0.000 -0.000
##
## -0.323 -0.004
## 1.929 0.005
## 0.760 0.008
## -1.747 -0.013
## -0.224 -0.112
##
## -2.607 -0.033
## -0.334 -0.001
## 1.021 0.011
## -0.192 -0.001
## -0.290 -0.145
##
## -0.312 -0.004
## -0.091 -0.000
## 0.486 0.005
## -1.294 -0.009
## -0.032 -0.016
##
## -1.542 -0.019
## 6.463 0.016
## 3.275 0.034
## 0.223 0.002
## 0.130 0.065
##
## -0.033 -0.000
## -8.818 -0.021
## 0.071 0.001
## 2.656 0.019
## -0.138 -0.069
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .Ext ~~
## .NDe 0.074 0.004 18.191 0.000
## .Int 0.096 0.005 21.330 0.000
## .Som 0.011 0.001 8.155 0.000
## .Det 0.030 0.003 10.239 0.000
## .NDe ~~
## .Int 0.063 0.004 17.732 0.000
## .Som 0.007 0.001 7.533 0.000
## .Det 0.020 0.002 8.951 0.000
## .Int ~~
## .Som 0.014 0.002 8.295 0.000
## .Det 0.034 0.003 11.335 0.000
## .Som ~~
## .Det 0.004 0.001 6.030 0.000
## Std.lv Std.all
##
## 0.695 0.695
## 0.555 0.555
## 0.385 0.385
## 0.512 0.512
##
## 0.612 0.612
## 0.418 0.418
## 0.570 0.570
##
## 0.514 0.514
## 0.613 0.613
##
## 0.395 0.395
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .CBCL_Q03_P 0.238 0.006 38.464 0.000
## .CBCL_Q07_P 0.201 0.005 39.964 0.000
## .CBCL_Q109_P 0.208 0.005 41.309 0.000
## .CBCL_Q15_P 0.009 0.002 5.690 0.000
## .CBCL_Q16_P 0.056 0.003 21.472 0.000
## .CBCL_Q19_P 0.178 0.006 30.797 0.000
## .CBCL_Q26_P 0.096 0.004 22.456 0.000
## .CBCL_Q27_P 0.160 0.005 31.674 0.000
## .CBCL_Q34_P 0.052 0.003 16.045 0.000
## .CBCL_Q37_P 0.024 0.002 12.620 0.000
## .CBCL_Q39_P 0.059 0.003 17.864 0.000
## .CBCL_Q43_P 0.147 0.004 34.230 0.000
## .CBCL_Q67_P 0.004 0.001 3.648 0.000
## .CBCL_Q68_P 0.089 0.004 22.975 0.000
## .CBCL_Q72_P 0.005 0.001 4.273 0.000
## .CBCL_Q74_P 0.226 0.006 37.632 0.000
## .CBCL_Q86_P 0.186 0.005 38.374 0.000
## .CBCL_Q87_P 0.134 0.004 31.182 0.000
## .CBCL_Q88_P 0.108 0.004 26.738 0.000
## .CBCL_Q89_P 0.030 0.003 10.692 0.000
## .CBCL_Q90_P 0.069 0.004 16.198 0.000
## .CBCL_Q94_P 0.085 0.004 22.755 0.000
## .CBCL_Q95_P 0.167 0.005 34.740 0.000
## .CBCL_Q96_P 0.008 0.002 4.913 0.000
## .Com1_Attack 0.050 0.002 21.786 0.000
## .Com2_Destroy 0.036 0.002 17.678 0.000
## .Com3_Disobeys 0.114 0.003 33.528 0.000
## .Com4_Steals 0.037 0.002 16.221 0.000
## .Com5_Peer 0.096 0.004 26.168 0.000
## .CBCL_Q01_P 0.165 0.005 31.771 0.000
## .CBCL_Q04_P 0.223 0.006 38.054 0.000
## .CBCL_Q09_P 0.199 0.006 34.222 0.000
## .CBCL_Q13_P 0.051 0.003 15.814 0.000
## .CBCL_Q17_P 0.213 0.006 35.794 0.000
## .CBCL_Q36_P 0.155 0.006 27.040 0.000
## .CBCL_Q46_P 0.115 0.005 21.646 0.000
## .CBCL_Q61_P 0.102 0.004 23.221 0.000
## .CBCL_Q62_P 0.113 0.005 22.880 0.000
## .CBCL_Q64_P 0.146 0.005 28.147 0.000
## .CBCL_Q66_P 0.067 0.004 16.119 0.000
## .CBCL_Q80_P 0.068 0.003 20.835 0.000
## .CBCL_Q85_P 0.053 0.003 17.415 0.000
## .CBCL_Q93_P 0.237 0.007 35.711 0.000
## .Com6_Distractd 0.187 0.006 31.582 0.000
## .CBCL_Q112_P 0.181 0.005 35.044 0.000
## .CBCL_Q12_P 0.113 0.005 23.141 0.000
## .CBCL_Q29_P 0.149 0.005 30.786 0.000
## .CBCL_Q30_P 0.047 0.003 14.036 0.000
## .CBCL_Q31_P 0.075 0.004 21.417 0.000
## .CBCL_Q32_P 0.247 0.006 38.450 0.000
## .CBCL_Q35_P 0.108 0.004 27.602 0.000
## .CBCL_Q45_P 0.137 0.005 28.961 0.000
## .CBCL_Q50_P 0.126 0.004 28.568 0.000
## .CBCL_Q52_P 0.067 0.003 20.346 0.000
## .CBCL_Q71_P 0.260 0.006 44.281 0.000
## .CBCL_Q51_P 0.040 0.003 13.753 0.000
## .CBCL_Q56A_P 0.146 0.005 29.160 0.000
## .CBCL_Q56B_P 0.192 0.006 33.268 0.000
## .CBCL_Q56C_P 0.074 0.003 21.869 0.000
## .CBCL_Q56D_P 0.040 0.004 9.753 0.000
## .CBCL_Q56E_P 0.157 0.006 24.827 0.000
## .CBCL_Q56F_P 0.128 0.006 23.136 0.000
## .CBCL_Q56G_P 0.037 0.002 15.145 0.000
## .CBCL_Q56H_P 0.029 0.003 9.538 0.000
## .CBCL_Q102_P 0.062 0.004 16.892 0.000
## .CBCL_Q111_P 0.042 0.002 18.099 0.000
## .CBCL_Q42_P 0.126 0.005 25.722 0.000
## .CBCL_Q65_P 0.066 0.004 17.986 0.000
## .CBCL_Q75_P 0.161 0.006 28.103 0.000
## .Ext 0.181 0.007 24.576 0.000
## .NDe 0.063 0.005 12.771 0.000
## .Int 0.166 0.007 22.366 0.000
## .Som 0.004 0.001 5.057 0.000
## .Det 0.019 0.003 6.707 0.000
## Std.lv Std.all
## 0.238 0.564
## 0.201 0.807
## 0.208 0.765
## 0.009 0.943
## 0.056 0.723
## 0.178 0.660
## 0.096 0.716
## 0.160 0.692
## 0.052 0.830
## 0.024 0.803
## 0.059 0.896
## 0.147 0.680
## 0.004 0.957
## 0.089 0.661
## 0.005 0.984
## 0.226 0.794
## 0.186 0.586
## 0.134 0.633
## 0.108 0.715
## 0.030 0.845
## 0.069 0.838
## 0.085 0.812
## 0.167 0.578
## 0.008 0.966
## 0.050 0.711
## 0.036 0.758
## 0.114 0.569
## 0.037 0.817
## 0.096 0.714
## 0.165 0.718
## 0.223 0.612
## 0.199 0.640
## 0.051 0.785
## 0.213 0.719
## 0.155 0.845
## 0.115 0.803
## 0.102 0.719
## 0.113 0.762
## 0.146 0.812
## 0.067 0.814
## 0.068 0.748
## 0.053 0.816
## 0.237 0.785
## 0.187 0.491
## 0.181 0.521
## 0.113 0.814
## 0.149 0.760
## 0.047 0.861
## 0.075 0.785
## 0.247 0.772
## 0.108 0.693
## 0.137 0.598
## 0.126 0.488
## 0.067 0.751
## 0.260 0.683
## 0.040 0.898
## 0.146 0.811
## 0.192 0.767
## 0.074 0.517
## 0.040 0.968
## 0.157 0.941
## 0.128 0.558
## 0.037 0.890
## 0.029 0.939
## 0.062 0.768
## 0.042 0.592
## 0.126 0.694
## 0.066 0.792
## 0.161 0.765
## 0.979 0.979
## 0.971 0.971
## 0.999 0.999
## 0.993 0.993
## 0.994 0.994
##
## R-Square:
## Estimate
## CBCL_Q03_P 0.436
## CBCL_Q07_P 0.193
## CBCL_Q109_P 0.235
## CBCL_Q15_P 0.057
## CBCL_Q16_P 0.277
## CBCL_Q19_P 0.340
## CBCL_Q26_P 0.284
## CBCL_Q27_P 0.308
## CBCL_Q34_P 0.170
## CBCL_Q37_P 0.197
## CBCL_Q39_P 0.104
## CBCL_Q43_P 0.320
## CBCL_Q67_P 0.043
## CBCL_Q68_P 0.339
## CBCL_Q72_P 0.016
## CBCL_Q74_P 0.206
## CBCL_Q86_P 0.414
## CBCL_Q87_P 0.367
## CBCL_Q88_P 0.285
## CBCL_Q89_P 0.155
## CBCL_Q90_P 0.162
## CBCL_Q94_P 0.188
## CBCL_Q95_P 0.422
## CBCL_Q96_P 0.034
## Com1_Attack 0.289
## Com2_Destroy 0.242
## Com3_Disobeys 0.431
## Com4_Steals 0.183
## Com5_Peer 0.286
## CBCL_Q01_P 0.282
## CBCL_Q04_P 0.388
## CBCL_Q09_P 0.360
## CBCL_Q13_P 0.215
## CBCL_Q17_P 0.281
## CBCL_Q36_P 0.155
## CBCL_Q46_P 0.197
## CBCL_Q61_P 0.281
## CBCL_Q62_P 0.238
## CBCL_Q64_P 0.188
## CBCL_Q66_P 0.186
## CBCL_Q80_P 0.252
## CBCL_Q85_P 0.184
## CBCL_Q93_P 0.215
## Com6_Distractd 0.509
## CBCL_Q112_P 0.479
## CBCL_Q12_P 0.186
## CBCL_Q29_P 0.240
## CBCL_Q30_P 0.139
## CBCL_Q31_P 0.215
## CBCL_Q32_P 0.228
## CBCL_Q35_P 0.307
## CBCL_Q45_P 0.402
## CBCL_Q50_P 0.512
## CBCL_Q52_P 0.249
## CBCL_Q71_P 0.317
## CBCL_Q51_P 0.102
## CBCL_Q56A_P 0.189
## CBCL_Q56B_P 0.233
## CBCL_Q56C_P 0.483
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.059
## CBCL_Q56F_P 0.442
## CBCL_Q56G_P 0.110
## CBCL_Q56H_P 0.061
## CBCL_Q102_P 0.232
## CBCL_Q111_P 0.408
## CBCL_Q42_P 0.306
## CBCL_Q65_P 0.208
## CBCL_Q75_P 0.235
## Ext 0.021
## NDe 0.029
## Int 0.001
## Som 0.007
## Det 0.006ADHD_PFac1stOrder.Fit.p5e_2 <- broom::tidy(ADHD_PFac1stOrder.Fit) %>%
filter(op == "~") %>%
filter(str_detect(term, "score"))
ADHD_PFac1stOrder.Fit.p5e_2 %>% knitr::kable()| term | op | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox |
|---|---|---|---|---|---|---|---|---|
| Ext ~ ADHDp5e_2_score | ~ | 0.0402694 | 0.0062573 | 6.435588 | 0.0000000 | 0.0937008 | 0.0936087 | 0.0937008 |
| NDe ~ ADHDp5e_2_score | ~ | 0.0221556 | 0.0039094 | 5.667220 | 0.0000000 | 0.0869492 | 0.0868638 | 0.0869492 |
| Int ~ ADHDp5e_2_score | ~ | 0.0076478 | 0.0065432 | 1.168815 | 0.2424783 | 0.0187391 | 0.0187207 | 0.0187391 |
| Som ~ ADHDp5e_2_score | ~ | 0.0025961 | 0.0011257 | 2.306237 | 0.0210974 | 0.0386911 | 0.0386531 | 0.0386911 |
| Det ~ ADHDp5e_2_score | ~ | -0.0000226 | 0.0024270 | -0.009316 | 0.9925670 | -0.0001653 | -0.0001651 | -0.0001653 |
ADHD_PFac1stOrder.Fit.p5e_2Std <- lavaan::standardizedSolution(ADHD_PFac1stOrder.Fit) %>%
filter(op == "~") %>%
filter(str_detect(rhs, "score"))
ADHD_PFac1stOrder.Fit.p5e_2Std %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| Ext | ~ | ADHDp5e_2_score | 0.0936087 | 0.0143335 | 6.5307671 | 0.0000000 | 0.0655156 | 0.1217019 |
| NDe | ~ | ADHDp5e_2_score | 0.0868638 | 0.0149256 | 5.8197927 | 0.0000000 | 0.0576102 | 0.1161174 |
| Int | ~ | ADHDp5e_2_score | 0.0187207 | 0.0160463 | 1.1666645 | 0.2433459 | -0.0127295 | 0.0501709 |
| Som | ~ | ADHDp5e_2_score | 0.0386531 | 0.0162538 | 2.3780953 | 0.0174023 | 0.0067962 | 0.0705100 |
| Det | ~ | ADHDp5e_2_score | -0.0001651 | 0.0177228 | -0.0093161 | 0.9925670 | -0.0349011 | 0.0345709 |
3.7.1 Plot relationships between ADHD PS and specific dimensions of psychopathology
Plot_PRS_SEM_1order_3(var_name=N_name, Prs_number=7, edge_labels=ADHD_PFac1stOrder.Fit.p5e_2)
3.7.2 Plot relationships between MDD/ADHD PS and specific dimensions of psychopathology
par(mfrow=c(1,2))
Plot_PRS_SEM_1order_3(var_name=N_name, Prs_number=6, edge_labels=MDD_PFac1stOrder.Fit.p5e_2)
Plot_PRS_SEM_1order_3(var_name=N_name, Prs_number=7, edge_labels=ADHD_PFac1stOrder.Fit.p5e_2)
3.8 Mediation between MDD PS and specific dimensions of psychopathology with BIS and G-Factor as mediators
Here we tested the extent to which the relationship between MDD PS and the specific dimensions of psychopathology was accounted for by the mediators.
MDD_BIS_G_Ext_NDe_Int_Som_Mediation <-'
Ext =~ CBCL_Q03_P + CBCL_Q07_P + CBCL_Q109_P + CBCL_Q15_P + CBCL_Q16_P + CBCL_Q19_P + CBCL_Q26_P + CBCL_Q27_P + CBCL_Q34_P + CBCL_Q37_P + CBCL_Q39_P + CBCL_Q43_P + CBCL_Q67_P + CBCL_Q68_P + CBCL_Q72_P + CBCL_Q74_P + CBCL_Q86_P + CBCL_Q87_P + CBCL_Q88_P + CBCL_Q89_P + CBCL_Q90_P + CBCL_Q94_P + CBCL_Q95_P + CBCL_Q96_P + Com1_Attack + Com2_Destroy + Com3_Disobeys + Com4_Steals + Com5_Peer
NDe =~ CBCL_Q01_P + CBCL_Q04_P + CBCL_Q09_P + CBCL_Q13_P + CBCL_Q17_P + CBCL_Q36_P + CBCL_Q46_P + CBCL_Q61_P + CBCL_Q62_P + CBCL_Q64_P + CBCL_Q66_P + CBCL_Q80_P + CBCL_Q85_P + CBCL_Q93_P + Com6_Distracted
Int =~ CBCL_Q112_P + CBCL_Q12_P + CBCL_Q29_P + CBCL_Q30_P + CBCL_Q31_P + CBCL_Q32_P + CBCL_Q35_P + CBCL_Q45_P + CBCL_Q50_P + CBCL_Q52_P + CBCL_Q71_P
Som =~ CBCL_Q51_P + CBCL_Q56A_P + CBCL_Q56B_P + CBCL_Q56C_P + CBCL_Q56D_P + CBCL_Q56E_P + CBCL_Q56F_P + CBCL_Q56G_P + CBCL_Q56H_P
Det =~ CBCL_Q102_P + CBCL_Q111_P + CBCL_Q42_P + CBCL_Q65_P + CBCL_Q75_P
# cog g
EF =~ NIHTBX_FLANKER_UNCORRECTED + NIHTBX_CARDSORT_UNCORRECTED + NIHTBX_PATTERN_UNCORRECTED
verbal =~ NIHTBX_PICVOCAB_UNCORRECTED + NIHTBX_READING_UNCORRECTED
memory =~ NIHTBX_PICTURE_UNCORRECTED + PEA_RAVLT_LD_TRIAL_VII_TC + NIHTBX_LIST_UNCORRECTED
spatial =~ LMT_SCR_PERC_CORRECT + PEA_WISCV_TRS
g =~ NA*EF + verbal + memory + spatial #estimate the loading of EF -> as opposed to using it as a marker
g ~~ 1*g #need to constrain variance to 1
#latent bis
BIS =~ BISBAS2_Y + BISBAS3_Y + BISBAS4_Y + BISBAS6_Y
# mediation
# Y ˜ b*M + c*X
# M ˜ a*X
#regression
# direct effect: c
Ext ~ cExt*wrayMDDp5e_2_score
# Ext ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
Ext ~ pc1 + pc2 + pc3 + pc4 + SEXnum
NDe ~ cNDe*wrayMDDp5e_2_score
# NDe ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
NDe ~ pc1 + pc2 + pc3 + pc4 + SEXnum
Int ~ cInt*wrayMDDp5e_2_score
# Int ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
Int ~ pc1 + pc2 + pc3 + pc4 + SEXnum
Som ~ cSom*wrayMDDp5e_2_score
# Som ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
Som ~ pc1 + pc2 + pc3 + pc4 + SEXnum
Det ~ cDet*wrayMDDp5e_2_score
# Det ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
Det ~ pc1 + pc2 + pc3 + pc4 + SEXnum
# outcome model: b
Ext ~ bGExt*g
Ext ~ bBISExt*BIS
NDe ~ bGNDe*g
NDe ~ bBISNDe*BIS
Int ~ bGInt*g
Int ~ bBISInt*BIS
Som ~ bGSom*g
Som ~ bBISSom*BIS
Det ~ bGDet*g
Det ~ bBISDet*BIS
# mediator models: a
g ~ aG*wrayMDDp5e_2_score
BIS ~ aBIS*wrayMDDp5e_2_score
# g ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
# BIS ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
g ~ pc1 + pc2 + pc3 + pc4 + SEXnum
BIS ~ pc1 + pc2 + pc3 + pc4 + SEXnum
# indirect effects (IDE)
indirectCogGExt := aG*bGExt
indirectBISExt := aBIS*bBISExt
sumIndirectExt := (aG*bGExt) + (aBIS*bBISExt)
indirectCogGNDe := aG*bGNDe
indirectBISNDe := aBIS*bBISNDe
sumIndirectNDe := (aG*bGNDe) + (aBIS*bBISNDe)
indirectCogGInt := aG*bGInt
indirectBISInt := aBIS*bBISInt
sumIndirectInt := (aG*bGInt) + (aBIS*bBISInt)
indirectCogGSom := aG*bGSom
indirectBISSom := aBIS*bBISSom
sumIndirectSom := (aG*bGSom) + (aBIS*bBISSom)
indirectCogGDet := aG*bGDet
indirectBISDet := aBIS*bBISDet
sumIndirectDet := (aG*bGDet) + (aBIS*bBISDet)
# direct
directExt := cExt
directNDe := cNDe
directInt := cInt
directSom := cSom
directDet := cDet
# total effect
totalExt := cExt + (aG*bGExt) + (aBIS*bBISExt)
# totalExt := cExt + (aG*bGExt)
propCogGExt := indirectCogGExt/totalExt
propBISExt := indirectBISExt/totalExt
propSumIndirectExt := sumIndirectExt/totalExt
totalNDe := cNDe + (aG*bGNDe) + (aBIS*bBISNDe)
# totalNDe := cNDe + (aG*bGNDe)
propCogGNDe := indirectCogGNDe/totalNDe
propBISNDe := indirectBISNDe/totalNDe
propSumIndirectNDe := sumIndirectNDe/totalNDe
totalInt := cInt + (aG*bGInt) + (aBIS*bBISInt)
# totalInt := cInt + (aG*bGInt)
propCogGInt := indirectCogGInt/totalInt
propBISInt := indirectBISInt/totalInt
propSumIndirectInt := sumIndirectInt/totalInt
totalSom := cSom + (aG*bGSom) + (aBIS*bBISSom)
# totalSom := cSom + (aG*bGSom)
propCogGSom := indirectCogGSom/totalSom
propBISSom := indirectBISSom/totalSom
propSumIndirectSom := sumIndirectSom/totalSom
totalDet := cDet + (aG*bGDet) + (aBIS*bBISDet)
# totalDet := cDet + (aG*bGDet)
propCogGDet := indirectCogGDet/totalDet
propBISDet := indirectBISDet/totalDet
propSumIndirectDet := sumIndirectDet/totalDet
# covariation between mediators
g ~~ BIS
'
MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit <- lavaan::cfa(model = MDD_BIS_G_Ext_NDe_Int_Som_Mediation, data = MostPrsCBCLBISBAS.ScoreScaled, estimator = "MLR")
lavaan::summary(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE, ci = TRUE)## lavaan 0.6-6 ended normally after 596 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 233
##
## Used Total
## Number of observations 4478 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 24492.618 16204.062
## Degrees of freedom 3751 3751
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.512
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 107589.102 71031.258
## Degrees of freedom 3901 3901
## P-value 0.000 0.000
## Scaling correction factor 1.515
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.800 0.814
## Tucker-Lewis Index (TLI) 0.792 0.807
##
## Robust Comparative Fit Index (CFI) 0.815
## Robust Tucker-Lewis Index (TLI) 0.807
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -156667.480 -156667.480
## Scaling correction factor 5.140
## for the MLR correction
## Loglikelihood unrestricted model (H1) -144421.171 -144421.171
## Scaling correction factor 1.724
## for the MLR correction
##
## Akaike (AIC) 313800.960 313800.960
## Bayesian (BIC) 315293.775 315293.775
## Sample-size adjusted Bayesian (BIC) 314553.392 314553.392
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.035 0.027
## 90 Percent confidence interval - lower 0.035 0.027
## 90 Percent confidence interval - upper 0.036 0.028
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.033
## 90 Percent confidence interval - lower 0.033
## 90 Percent confidence interval - upper 0.034
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.039 0.039
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## Ext =~
## CBCL_Q03_P 1.000
## CBCL_Q07_P 0.504 0.025 20.379 0.000
## CBCL_Q109_P 0.588 0.024 24.979 0.000
## CBCL_Q15_P 0.054 0.011 5.142 0.000
## CBCL_Q16_P 0.336 0.022 15.289 0.000
## CBCL_Q19_P 0.694 0.025 27.872 0.000
## CBCL_Q26_P 0.453 0.024 19.096 0.000
## CBCL_Q27_P 0.610 0.025 24.559 0.000
## CBCL_Q34_P 0.244 0.022 11.177 0.000
## CBCL_Q37_P 0.176 0.019 9.247 0.000
## CBCL_Q39_P 0.184 0.018 10.285 0.000
## CBCL_Q43_P 0.602 0.024 25.171 0.000
## CBCL_Q67_P 0.033 0.009 3.503 0.000
## CBCL_Q68_P 0.497 0.023 21.431 0.000
## CBCL_Q72_P 0.023 0.006 3.655 0.000
## CBCL_Q74_P 0.561 0.026 21.159 0.000
## CBCL_Q86_P 0.852 0.022 38.764 0.000
## CBCL_Q87_P 0.659 0.025 26.245 0.000
## CBCL_Q88_P 0.486 0.025 19.438 0.000
## CBCL_Q89_P 0.168 0.020 8.441 0.000
## CBCL_Q90_P 0.267 0.024 11.358 0.000
## CBCL_Q94_P 0.322 0.023 14.100 0.000
## CBCL_Q95_P 0.820 0.022 36.444 0.000
## CBCL_Q96_P 0.042 0.012 3.372 0.001
## Com1_Attack 0.325 0.021 15.519 0.000
## Com2_Destroy 0.244 0.020 12.419 0.000
## Com3_Disobeys 0.682 0.019 35.298 0.000
## Com4_Steals 0.212 0.019 11.139 0.000
## Com5_Peer 0.454 0.022 20.861 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.475 0.066 22.260 0.000
## CBCL_Q09_P 1.310 0.062 20.972 0.000
## CBCL_Q13_P 0.459 0.038 12.049 0.000
## CBCL_Q17_P 1.129 0.062 18.339 0.000
## CBCL_Q36_P 0.633 0.042 14.897 0.000
## CBCL_Q46_P 0.654 0.047 13.998 0.000
## CBCL_Q61_P 0.800 0.043 18.706 0.000
## CBCL_Q62_P 0.723 0.042 17.318 0.000
## CBCL_Q64_P 0.727 0.040 18.019 0.000
## CBCL_Q66_P 0.494 0.041 12.072 0.000
## CBCL_Q80_P 0.595 0.042 14.141 0.000
## CBCL_Q85_P 0.425 0.033 12.797 0.000
## CBCL_Q93_P 0.982 0.055 17.768 0.000
## Com6_Distractd 1.737 0.073 23.712 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.397 0.026 15.045 0.000
## CBCL_Q29_P 0.536 0.025 21.048 0.000
## CBCL_Q30_P 0.209 0.021 9.807 0.000
## CBCL_Q31_P 0.351 0.024 14.704 0.000
## CBCL_Q32_P 0.658 0.028 23.113 0.000
## CBCL_Q35_P 0.538 0.027 19.961 0.000
## CBCL_Q45_P 0.739 0.025 29.220 0.000
## CBCL_Q50_P 0.883 0.022 40.821 0.000
## CBCL_Q52_P 0.357 0.024 14.751 0.000
## CBCL_Q71_P 0.848 0.028 30.525 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.789 0.314 8.882 0.000
## CBCL_Q56B_P 3.704 0.391 9.474 0.000
## CBCL_Q56C_P 4.051 0.460 8.803 0.000
## CBCL_Q56D_P 0.551 0.103 5.341 0.000
## CBCL_Q56E_P 1.459 0.209 6.966 0.000
## CBCL_Q56F_P 4.872 0.535 9.104 0.000
## CBCL_Q56G_P 1.066 0.158 6.753 0.000
## CBCL_Q56H_P 0.656 0.129 5.093 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.247 0.088 14.104 0.000
## CBCL_Q42_P 1.724 0.140 12.332 0.000
## CBCL_Q65_P 0.981 0.103 9.481 0.000
## CBCL_Q75_P 1.633 0.152 10.771 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.206 0.047 25.525 0.000
## NIHTBX_PATTERN 1.002 0.043 23.559 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.069 0.038 27.973 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.053 0.038 27.510 0.000
## NIHTBX_LIST_UN 1.149 0.055 20.981 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.158 0.051 22.878 0.000
## g =~
## EF 0.359 0.017 21.143 0.000
## verbal 0.517 0.017 29.663 0.000
## memory 0.455 0.015 29.420 0.000
## spatial 0.477 0.016 28.948 0.000
## BIS =~
## BISBAS2_Y 1.000
## BISBAS3_Y 1.146 0.075 15.282 0.000
## BISBAS4_Y 1.207 0.078 15.397 0.000
## BISBAS6_Y 1.029 0.036 28.488 0.000
## ci.lower ci.upper Std.lv Std.all
##
## 1.000 1.000 0.429 0.661
## 0.455 0.552 0.216 0.434
## 0.542 0.634 0.252 0.487
## 0.034 0.075 0.023 0.241
## 0.293 0.379 0.144 0.518
## 0.645 0.742 0.297 0.576
## 0.407 0.500 0.194 0.528
## 0.561 0.658 0.261 0.548
## 0.201 0.287 0.105 0.415
## 0.139 0.213 0.075 0.433
## 0.149 0.219 0.079 0.306
## 0.555 0.649 0.258 0.563
## 0.015 0.052 0.014 0.219
## 0.451 0.542 0.213 0.585
## 0.010 0.035 0.010 0.133
## 0.509 0.613 0.240 0.451
## 0.809 0.895 0.365 0.649
## 0.610 0.708 0.282 0.612
## 0.437 0.535 0.208 0.537
## 0.129 0.206 0.072 0.384
## 0.221 0.313 0.114 0.401
## 0.277 0.367 0.138 0.430
## 0.775 0.864 0.351 0.653
## 0.017 0.066 0.018 0.192
## 0.284 0.367 0.139 0.530
## 0.206 0.283 0.105 0.484
## 0.644 0.720 0.292 0.656
## 0.174 0.249 0.091 0.427
## 0.411 0.496 0.194 0.537
##
## 1.000 1.000 0.255 0.537
## 1.345 1.605 0.376 0.622
## 1.188 1.433 0.334 0.598
## 0.384 0.534 0.117 0.464
## 1.008 1.249 0.288 0.530
## 0.550 0.716 0.161 0.380
## 0.563 0.746 0.167 0.443
## 0.716 0.884 0.204 0.543
## 0.641 0.804 0.184 0.483
## 0.648 0.806 0.185 0.439
## 0.414 0.575 0.126 0.440
## 0.512 0.677 0.152 0.509
## 0.360 0.491 0.109 0.429
## 0.873 1.090 0.250 0.457
## 1.593 1.880 0.443 0.717
##
## 1.000 1.000 0.411 0.696
## 0.346 0.449 0.163 0.438
## 0.486 0.586 0.220 0.495
## 0.167 0.251 0.086 0.374
## 0.304 0.397 0.144 0.462
## 0.603 0.714 0.270 0.478
## 0.485 0.590 0.221 0.560
## 0.690 0.789 0.304 0.632
## 0.841 0.926 0.363 0.714
## 0.310 0.405 0.147 0.496
## 0.794 0.903 0.348 0.565
##
## 1.000 1.000 0.065 0.311
## 2.174 3.405 0.182 0.428
## 2.938 4.470 0.242 0.483
## 3.149 4.953 0.265 0.696
## 0.349 0.753 0.036 0.180
## 1.048 1.869 0.095 0.234
## 3.823 5.920 0.318 0.662
## 0.756 1.375 0.070 0.339
## 0.403 0.908 0.043 0.243
##
## 1.000 1.000 0.136 0.482
## 1.074 1.421 0.170 0.634
## 1.450 1.998 0.235 0.555
## 0.778 1.184 0.134 0.461
## 1.336 1.930 0.223 0.486
##
## 1.000 1.000 0.596 0.599
## 1.113 1.299 0.719 0.722
## 0.919 1.085 0.597 0.599
##
## 1.000 1.000 0.684 0.682
## 0.994 1.144 0.731 0.731
##
## 1.000 1.000 0.537 0.537
## 0.978 1.128 0.566 0.565
## 1.042 1.256 0.617 0.616
##
## 1.000 1.000 0.495 0.496
## 1.059 1.258 0.573 0.572
##
## 0.325 0.392 0.607 0.607
## 0.483 0.552 0.762 0.762
## 0.425 0.486 0.855 0.855
## 0.444 0.509 0.971 0.971
##
## 1.000 1.000 0.533 0.534
## 0.999 1.293 0.611 0.612
## 1.053 1.360 0.644 0.644
## 0.958 1.100 0.549 0.551
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## Ext ~
## wMDD5_ (cExt) 0.020 0.006 3.160 0.002
## pc1 0.157 1.831 0.086 0.932
## pc2 1.753 9.608 0.182 0.855
## pc3 0.324 0.499 0.648 0.517
## pc4 16.531 12.007 1.377 0.169
## SEXnum -0.096 0.013 -7.240 0.000
## NDe ~
## wMDD5_ (cNDe) 0.007 0.004 1.856 0.063
## pc1 -0.228 0.924 -0.247 0.805
## pc2 1.225 4.841 0.253 0.800
## pc3 -0.079 0.250 -0.317 0.751
## pc4 -4.466 6.213 -0.719 0.472
## SEXnum -0.072 0.009 -8.199 0.000
## Int ~
## wMDD5_ (cInt) 0.018 0.007 2.793 0.005
## pc1 -0.354 1.756 -0.202 0.840
## pc2 2.206 8.686 0.254 0.800
## pc3 -0.213 0.443 -0.482 0.630
## pc4 -4.001 11.180 -0.358 0.720
## SEXnum -0.025 0.014 -1.839 0.066
## Som ~
## wMDD5_ (cSom) 0.003 0.001 2.810 0.005
## pc1 -0.115 0.257 -0.449 0.653
## pc2 0.738 1.312 0.563 0.574
## pc3 0.159 0.069 2.319 0.020
## pc4 -1.421 1.788 -0.795 0.427
## SEXnum 0.008 0.003 3.111 0.002
## Det ~
## wMDD5_ (cDet) 0.007 0.002 3.019 0.003
## pc1 -0.020 0.589 -0.034 0.973
## pc2 -0.513 2.853 -0.180 0.857
## pc3 -0.117 0.142 -0.826 0.409
## pc4 -3.260 3.893 -0.837 0.402
## SEXnum -0.022 0.005 -4.104 0.000
## Ext ~
## g (bGEx) -0.082 0.009 -9.253 0.000
## BIS (bBISE) 0.030 0.017 1.735 0.083
## NDe ~
## g (bGND) -0.068 0.006 -10.888 0.000
## BIS (bBISN) 0.027 0.011 2.557 0.011
## Int ~
## g (bGIn) -0.024 0.009 -2.800 0.005
## BIS (bBISI) 0.152 0.018 8.359 0.000
## Som ~
## g (bGSm) -0.004 0.001 -2.646 0.008
## BIS (bBISS) 0.004 0.003 1.565 0.118
## Det ~
## g (bGDt) -0.006 0.003 -1.940 0.052
## BIS (bBISD) 0.016 0.006 2.520 0.012
## g ~
## wMDD5_ (aG) -0.055 0.018 -2.981 0.003
## BIS ~
## wMDD5_ (aBIS) 0.021 0.010 2.163 0.031
## g ~
## pc1 9.789 4.957 1.975 0.048
## pc2 -3.152 27.964 -0.113 0.910
## pc3 -1.874 1.412 -1.327 0.185
## pc4 -2.401 28.783 -0.083 0.934
## SEXnum 0.039 0.037 1.070 0.285
## BIS ~
## pc1 0.006 2.375 0.002 0.998
## pc2 0.702 11.943 0.059 0.953
## pc3 1.143 0.602 1.897 0.058
## pc4 -0.581 16.108 -0.036 0.971
## SEXnum 0.117 0.019 6.045 0.000
## ci.lower ci.upper Std.lv Std.all
##
## 0.008 0.032 0.046 0.046
## -3.432 3.746 0.367 0.005
## -17.079 20.584 4.090 0.010
## -0.655 1.302 0.755 0.008
## -7.003 40.064 38.577 0.026
## -0.122 -0.070 -0.225 -0.112
##
## -0.000 0.015 0.029 0.029
## -2.040 1.583 -0.894 -0.011
## -8.263 10.713 4.802 0.012
## -0.570 0.412 -0.311 -0.003
## -16.644 7.712 -17.506 -0.012
## -0.089 -0.055 -0.283 -0.141
##
## 0.005 0.031 0.045 0.045
## -3.795 3.086 -0.863 -0.011
## -14.819 19.231 5.371 0.013
## -1.081 0.654 -0.520 -0.006
## -25.914 17.912 -9.741 -0.007
## -0.052 0.002 -0.061 -0.030
##
## 0.001 0.006 0.050 0.050
## -0.618 0.388 -1.764 -0.022
## -1.834 3.311 11.309 0.027
## 0.025 0.294 2.437 0.026
## -4.927 2.084 -21.767 -0.015
## 0.003 0.013 0.122 0.061
##
## 0.003 0.012 0.053 0.053
## -1.174 1.134 -0.146 -0.002
## -6.104 5.079 -3.758 -0.009
## -0.395 0.161 -0.859 -0.009
## -10.891 4.370 -23.896 -0.016
## -0.032 -0.011 -0.158 -0.079
##
## -0.099 -0.064 -0.192 -0.192
## -0.004 0.064 0.038 0.038
##
## -0.080 -0.056 -0.270 -0.270
## 0.006 0.047 0.056 0.056
##
## -0.041 -0.007 -0.059 -0.059
## 0.117 0.188 0.198 0.198
##
## -0.006 -0.001 -0.056 -0.056
## -0.001 0.009 0.034 0.034
##
## -0.012 0.000 -0.046 -0.046
## 0.003 0.028 0.061 0.061
##
## -0.091 -0.019 -0.055 -0.055
##
## 0.002 0.039 0.039 0.039
##
## 0.073 19.505 9.708 0.123
## -57.961 51.657 -3.126 -0.008
## -4.642 0.894 -1.858 -0.020
## -58.815 54.013 -2.381 -0.002
## -0.033 0.112 0.039 0.020
##
## -4.648 4.660 0.011 0.000
## -22.705 24.110 1.316 0.003
## -0.038 2.323 2.142 0.023
## -32.151 30.990 -1.089 -0.001
## 0.079 0.155 0.220 0.110
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .g ~~
## .BIS -0.016 0.012 -1.327 0.185
## .Ext ~~
## .NDe 0.069 0.004 17.356 0.000
## .Int 0.093 0.004 21.233 0.000
## .Som 0.010 0.001 7.793 0.000
## .Det 0.029 0.003 10.100 0.000
## .NDe ~~
## .Int 0.060 0.004 17.272 0.000
## .Som 0.007 0.001 7.097 0.000
## .Det 0.019 0.002 8.620 0.000
## .Int ~~
## .Som 0.013 0.002 7.786 0.000
## .Det 0.034 0.003 10.903 0.000
## .Som ~~
## .Det 0.004 0.001 5.794 0.000
## ci.lower ci.upper Std.lv Std.all
##
## -0.040 0.008 -0.031 -0.031
##
## 0.061 0.077 0.685 0.685
## 0.085 0.102 0.559 0.559
## 0.008 0.013 0.379 0.379
## 0.024 0.035 0.519 0.519
##
## 0.054 0.067 0.622 0.622
## 0.005 0.008 0.420 0.420
## 0.015 0.023 0.578 0.578
##
## 0.010 0.017 0.516 0.516
## 0.028 0.040 0.619 0.619
##
## 0.002 0.005 0.407 0.407
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .g 1.000
## .CBCL_Q03_P 0.236 0.006 37.288 0.000
## .CBCL_Q07_P 0.201 0.005 38.754 0.000
## .CBCL_Q109_P 0.204 0.005 39.734 0.000
## .CBCL_Q15_P 0.009 0.002 5.429 0.000
## .CBCL_Q16_P 0.056 0.003 20.735 0.000
## .CBCL_Q19_P 0.178 0.006 29.543 0.000
## .CBCL_Q26_P 0.097 0.005 21.622 0.000
## .CBCL_Q27_P 0.159 0.005 30.328 0.000
## .CBCL_Q34_P 0.053 0.003 15.435 0.000
## .CBCL_Q37_P 0.025 0.002 12.115 0.000
## .CBCL_Q39_P 0.060 0.003 17.202 0.000
## .CBCL_Q43_P 0.143 0.004 33.335 0.000
## .CBCL_Q67_P 0.004 0.001 3.529 0.000
## .CBCL_Q68_P 0.087 0.004 21.979 0.000
## .CBCL_Q72_P 0.005 0.001 4.053 0.000
## .CBCL_Q74_P 0.226 0.006 36.162 0.000
## .CBCL_Q86_P 0.183 0.005 37.006 0.000
## .CBCL_Q87_P 0.133 0.004 29.594 0.000
## .CBCL_Q88_P 0.107 0.004 25.890 0.000
## .CBCL_Q89_P 0.030 0.003 10.343 0.000
## .CBCL_Q90_P 0.068 0.004 15.650 0.000
## .CBCL_Q94_P 0.084 0.004 22.543 0.000
## .CBCL_Q95_P 0.166 0.005 33.435 0.000
## .CBCL_Q96_P 0.008 0.002 4.747 0.000
## .Com1_Attack 0.050 0.002 20.787 0.000
## .Com2_Destroy 0.036 0.002 16.910 0.000
## .Com3_Disobeys 0.113 0.004 32.191 0.000
## .Com4_Steals 0.037 0.002 16.107 0.000
## .Com5_Peer 0.093 0.004 24.951 0.000
## .CBCL_Q01_P 0.161 0.005 30.384 0.000
## .CBCL_Q04_P 0.224 0.006 36.623 0.000
## .CBCL_Q09_P 0.201 0.006 33.177 0.000
## .CBCL_Q13_P 0.050 0.003 15.046 0.000
## .CBCL_Q17_P 0.212 0.006 34.347 0.000
## .CBCL_Q36_P 0.154 0.006 25.826 0.000
## .CBCL_Q46_P 0.114 0.005 21.057 0.000
## .CBCL_Q61_P 0.100 0.004 22.340 0.000
## .CBCL_Q62_P 0.112 0.005 22.106 0.000
## .CBCL_Q64_P 0.144 0.005 27.266 0.000
## .CBCL_Q66_P 0.066 0.004 15.601 0.000
## .CBCL_Q80_P 0.066 0.003 19.850 0.000
## .CBCL_Q85_P 0.052 0.003 16.838 0.000
## .CBCL_Q93_P 0.238 0.007 34.760 0.000
## .Com6_Distractd 0.185 0.006 30.097 0.000
## .CBCL_Q112_P 0.179 0.005 33.657 0.000
## .CBCL_Q12_P 0.112 0.005 22.194 0.000
## .CBCL_Q29_P 0.149 0.005 29.561 0.000
## .CBCL_Q30_P 0.045 0.003 13.223 0.000
## .CBCL_Q31_P 0.077 0.004 20.690 0.000
## .CBCL_Q32_P 0.248 0.007 36.995 0.000
## .CBCL_Q35_P 0.107 0.004 26.698 0.000
## .CBCL_Q45_P 0.139 0.005 28.202 0.000
## .CBCL_Q50_P 0.127 0.005 27.630 0.000
## .CBCL_Q52_P 0.066 0.003 19.737 0.000
## .CBCL_Q71_P 0.259 0.006 42.590 0.000
## .CBCL_Q51_P 0.040 0.003 13.053 0.000
## .CBCL_Q56A_P 0.148 0.005 28.216 0.000
## .CBCL_Q56B_P 0.193 0.006 32.222 0.000
## .CBCL_Q56C_P 0.075 0.004 21.007 0.000
## .CBCL_Q56D_P 0.039 0.004 9.370 0.000
## .CBCL_Q56E_P 0.157 0.006 24.144 0.000
## .CBCL_Q56F_P 0.130 0.006 22.334 0.000
## .CBCL_Q56G_P 0.037 0.003 14.772 0.000
## .CBCL_Q56H_P 0.029 0.003 8.999 0.000
## .CBCL_Q102_P 0.061 0.004 16.002 0.000
## .CBCL_Q111_P 0.043 0.002 17.663 0.000
## .CBCL_Q42_P 0.124 0.005 24.818 0.000
## .CBCL_Q65_P 0.066 0.004 17.229 0.000
## .CBCL_Q75_P 0.161 0.006 27.229 0.000
## .NIHTBX_FLANKER 0.634 0.021 30.119 0.000
## .NIHTBX_CARDSOR 0.474 0.023 20.568 0.000
## .NIHTBX_PATTERN 0.639 0.021 31.134 0.000
## .NIHTBX_PICVOCA 0.538 0.022 24.682 0.000
## .NIHTBX_READING 0.466 0.023 20.594 0.000
## .NIHTBX_PICTURE 0.710 0.019 37.239 0.000
## .PEA_RAVLT_LD_T 0.682 0.021 32.820 0.000
## .NIHTBX_LIST_UN 0.624 0.022 28.336 0.000
## .LMT_SCR_PERC_C 0.750 0.020 36.910 0.000
## .PEA_WISCV_TRS 0.674 0.023 29.810 0.000
## .BISBAS2_Y 0.713 0.025 28.878 0.000
## .BISBAS3_Y 0.624 0.023 27.407 0.000
## .BISBAS4_Y 0.584 0.025 23.736 0.000
## .BISBAS6_Y 0.690 0.024 29.051 0.000
## .Ext 0.174 0.007 23.591 0.000
## .NDe 0.059 0.005 12.364 0.000
## .Int 0.161 0.007 21.938 0.000
## .Som 0.004 0.001 4.746 0.000
## .Det 0.018 0.003 6.453 0.000
## .EF 0.224 0.015 14.742 0.000
## .verbal 0.196 0.015 12.653 0.000
## .memory 0.078 0.011 6.750 0.000
## .spatial 0.014 0.012 1.202 0.229
## .BIS 0.281 0.025 11.358 0.000
## ci.lower ci.upper Std.lv Std.all
## 1.000 1.000 0.983 0.983
## 0.224 0.249 0.236 0.563
## 0.191 0.212 0.201 0.812
## 0.194 0.214 0.204 0.763
## 0.006 0.012 0.009 0.942
## 0.051 0.062 0.056 0.731
## 0.166 0.190 0.178 0.668
## 0.089 0.106 0.097 0.721
## 0.149 0.169 0.159 0.700
## 0.046 0.059 0.053 0.828
## 0.021 0.029 0.025 0.812
## 0.053 0.067 0.060 0.906
## 0.135 0.152 0.143 0.683
## 0.002 0.006 0.004 0.952
## 0.079 0.095 0.087 0.658
## 0.003 0.008 0.005 0.982
## 0.214 0.238 0.226 0.796
## 0.174 0.193 0.183 0.579
## 0.124 0.142 0.133 0.625
## 0.099 0.115 0.107 0.712
## 0.024 0.036 0.030 0.853
## 0.060 0.077 0.068 0.839
## 0.077 0.091 0.084 0.815
## 0.156 0.176 0.166 0.574
## 0.005 0.012 0.008 0.963
## 0.045 0.055 0.050 0.720
## 0.032 0.040 0.036 0.766
## 0.106 0.120 0.113 0.570
## 0.032 0.041 0.037 0.817
## 0.086 0.101 0.093 0.712
## 0.150 0.171 0.161 0.712
## 0.212 0.236 0.224 0.613
## 0.189 0.212 0.201 0.642
## 0.044 0.057 0.050 0.785
## 0.200 0.224 0.212 0.719
## 0.142 0.166 0.154 0.855
## 0.103 0.124 0.114 0.803
## 0.091 0.108 0.100 0.705
## 0.102 0.122 0.112 0.767
## 0.134 0.155 0.144 0.807
## 0.058 0.075 0.066 0.807
## 0.059 0.072 0.066 0.741
## 0.046 0.058 0.052 0.816
## 0.225 0.251 0.238 0.791
## 0.173 0.197 0.185 0.485
## 0.169 0.190 0.179 0.515
## 0.102 0.122 0.112 0.808
## 0.139 0.159 0.149 0.755
## 0.039 0.052 0.045 0.860
## 0.069 0.084 0.077 0.787
## 0.234 0.261 0.248 0.772
## 0.099 0.115 0.107 0.687
## 0.129 0.148 0.139 0.601
## 0.118 0.136 0.127 0.491
## 0.059 0.073 0.066 0.754
## 0.247 0.271 0.259 0.681
## 0.034 0.046 0.040 0.903
## 0.137 0.158 0.148 0.817
## 0.181 0.204 0.193 0.767
## 0.068 0.082 0.075 0.516
## 0.031 0.047 0.039 0.968
## 0.144 0.170 0.157 0.945
## 0.119 0.141 0.130 0.562
## 0.032 0.042 0.037 0.885
## 0.023 0.036 0.029 0.941
## 0.054 0.069 0.061 0.767
## 0.038 0.048 0.043 0.598
## 0.115 0.134 0.124 0.692
## 0.059 0.074 0.066 0.788
## 0.149 0.173 0.161 0.764
## 0.592 0.675 0.634 0.641
## 0.429 0.519 0.474 0.478
## 0.598 0.679 0.639 0.642
## 0.495 0.581 0.538 0.535
## 0.421 0.510 0.466 0.465
## 0.673 0.748 0.710 0.711
## 0.641 0.723 0.682 0.681
## 0.581 0.667 0.624 0.621
## 0.710 0.790 0.750 0.754
## 0.630 0.719 0.674 0.672
## 0.665 0.761 0.713 0.715
## 0.580 0.669 0.624 0.625
## 0.536 0.632 0.584 0.585
## 0.643 0.737 0.690 0.696
## 0.159 0.188 0.945 0.945
## 0.049 0.068 0.901 0.901
## 0.147 0.175 0.954 0.954
## 0.002 0.006 0.987 0.987
## 0.013 0.024 0.985 0.985
## 0.195 0.254 0.632 0.632
## 0.166 0.226 0.419 0.419
## 0.055 0.100 0.269 0.269
## -0.009 0.037 0.057 0.057
## 0.232 0.329 0.986 0.986
##
## R-Square:
## Estimate
## g 0.017
## CBCL_Q03_P 0.437
## CBCL_Q07_P 0.188
## CBCL_Q109_P 0.237
## CBCL_Q15_P 0.058
## CBCL_Q16_P 0.269
## CBCL_Q19_P 0.332
## CBCL_Q26_P 0.279
## CBCL_Q27_P 0.300
## CBCL_Q34_P 0.172
## CBCL_Q37_P 0.188
## CBCL_Q39_P 0.094
## CBCL_Q43_P 0.317
## CBCL_Q67_P 0.048
## CBCL_Q68_P 0.342
## CBCL_Q72_P 0.018
## CBCL_Q74_P 0.204
## CBCL_Q86_P 0.421
## CBCL_Q87_P 0.375
## CBCL_Q88_P 0.288
## CBCL_Q89_P 0.147
## CBCL_Q90_P 0.161
## CBCL_Q94_P 0.185
## CBCL_Q95_P 0.426
## CBCL_Q96_P 0.037
## Com1_Attack 0.280
## Com2_Destroy 0.234
## Com3_Disobeys 0.430
## Com4_Steals 0.183
## Com5_Peer 0.288
## CBCL_Q01_P 0.288
## CBCL_Q04_P 0.387
## CBCL_Q09_P 0.358
## CBCL_Q13_P 0.215
## CBCL_Q17_P 0.281
## CBCL_Q36_P 0.145
## CBCL_Q46_P 0.197
## CBCL_Q61_P 0.295
## CBCL_Q62_P 0.233
## CBCL_Q64_P 0.193
## CBCL_Q66_P 0.193
## CBCL_Q80_P 0.259
## CBCL_Q85_P 0.184
## CBCL_Q93_P 0.209
## Com6_Distractd 0.515
## CBCL_Q112_P 0.485
## CBCL_Q12_P 0.192
## CBCL_Q29_P 0.245
## CBCL_Q30_P 0.140
## CBCL_Q31_P 0.213
## CBCL_Q32_P 0.228
## CBCL_Q35_P 0.313
## CBCL_Q45_P 0.399
## CBCL_Q50_P 0.509
## CBCL_Q52_P 0.246
## CBCL_Q71_P 0.319
## CBCL_Q51_P 0.097
## CBCL_Q56A_P 0.183
## CBCL_Q56B_P 0.233
## CBCL_Q56C_P 0.484
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.055
## CBCL_Q56F_P 0.438
## CBCL_Q56G_P 0.115
## CBCL_Q56H_P 0.059
## CBCL_Q102_P 0.233
## CBCL_Q111_P 0.402
## CBCL_Q42_P 0.308
## CBCL_Q65_P 0.212
## CBCL_Q75_P 0.236
## NIHTBX_FLANKER 0.359
## NIHTBX_CARDSOR 0.522
## NIHTBX_PATTERN 0.358
## NIHTBX_PICVOCA 0.465
## NIHTBX_READING 0.535
## NIHTBX_PICTURE 0.289
## PEA_RAVLT_LD_T 0.319
## NIHTBX_LIST_UN 0.379
## LMT_SCR_PERC_C 0.246
## PEA_WISCV_TRS 0.328
## BISBAS2_Y 0.285
## BISBAS3_Y 0.375
## BISBAS4_Y 0.415
## BISBAS6_Y 0.304
## Ext 0.055
## NDe 0.099
## Int 0.046
## Som 0.013
## Det 0.015
## EF 0.368
## verbal 0.581
## memory 0.731
## spatial 0.943
## BIS 0.014
##
## Defined Parameters:
## Estimate Std.Err z-value P(>|z|)
## indirectCgGExt 0.004 0.002 2.826 0.005
## indirectBISExt 0.001 0.000 1.373 0.170
## sumIndirectExt 0.005 0.002 3.116 0.002
## indirectCogGND 0.004 0.001 2.852 0.004
## indirectBISNDe 0.001 0.000 1.704 0.088
## sumIndirectNDe 0.004 0.001 3.179 0.001
## indirectCgGInt 0.001 0.001 2.024 0.043
## indirectBISInt 0.003 0.001 2.107 0.035
## sumIndirectInt 0.004 0.002 2.731 0.006
## indirectCogGSm 0.000 0.000 1.977 0.048
## indirectBISSom 0.000 0.000 1.278 0.201
## sumIndirectSom 0.000 0.000 2.367 0.018
## indirectCogGDt 0.000 0.000 1.609 0.108
## indirectBISDet 0.000 0.000 1.646 0.100
## sumIndirectDet 0.001 0.000 2.310 0.021
## directExt 0.020 0.006 3.160 0.002
## directNDe 0.007 0.004 1.856 0.063
## directInt 0.018 0.007 2.793 0.005
## directSom 0.003 0.001 2.810 0.005
## directDet 0.007 0.002 3.019 0.003
## totalExt 0.025 0.006 3.975 0.000
## propCogGExt 0.181 0.073 2.467 0.014
## propBISExt 0.025 0.019 1.302 0.193
## prpSmIndrctExt 0.206 0.078 2.630 0.009
## totalNDe 0.012 0.004 2.917 0.004
## propCogGNDe 0.322 0.143 2.261 0.024
## propBISNDe 0.048 0.031 1.519 0.129
## propSmIndrctND 0.370 0.154 2.399 0.016
## totalInt 0.023 0.007 3.480 0.001
## propCogGInt 0.057 0.033 1.765 0.078
## propBISInt 0.137 0.072 1.898 0.058
## prpSmIndrctInt 0.195 0.086 2.273 0.023
## totalSom 0.004 0.001 3.043 0.002
## propCogGSom 0.056 0.033 1.717 0.086
## propBISSom 0.024 0.020 1.204 0.229
## propSmIndrctSm 0.081 0.041 1.961 0.050
## totalDet 0.008 0.002 3.293 0.001
## propCogGDet 0.043 0.029 1.494 0.135
## propBISDet 0.041 0.028 1.480 0.139
## propSmIndrctDt 0.084 0.043 1.955 0.051
## ci.lower ci.upper Std.lv Std.all
## 0.001 0.008 0.010 0.011
## -0.000 0.002 0.001 0.001
## 0.002 0.008 0.012 0.012
## 0.001 0.006 0.015 0.015
## -0.000 0.001 0.002 0.002
## 0.002 0.007 0.017 0.017
## 0.000 0.003 0.003 0.003
## 0.000 0.006 0.008 0.008
## 0.001 0.008 0.011 0.011
## 0.000 0.000 0.003 0.003
## -0.000 0.000 0.001 0.001
## 0.000 0.001 0.004 0.004
## -0.000 0.001 0.003 0.003
## -0.000 0.001 0.002 0.002
## 0.000 0.001 0.005 0.005
## 0.008 0.032 0.046 0.046
## -0.000 0.015 0.029 0.029
## 0.005 0.031 0.045 0.045
## 0.001 0.006 0.050 0.050
## 0.003 0.012 0.053 0.053
## 0.013 0.037 0.058 0.058
## 0.037 0.324 0.181 0.181
## -0.013 0.063 0.025 0.025
## 0.052 0.359 0.206 0.206
## 0.004 0.020 0.046 0.046
## 0.043 0.602 0.322 0.322
## -0.014 0.109 0.048 0.048
## 0.068 0.672 0.370 0.370
## 0.010 0.036 0.056 0.056
## -0.006 0.121 0.057 0.057
## -0.004 0.279 0.137 0.137
## 0.027 0.362 0.195 0.195
## 0.001 0.006 0.054 0.055
## -0.008 0.121 0.056 0.056
## -0.015 0.064 0.024 0.024
## 0.000 0.162 0.081 0.081
## 0.003 0.013 0.058 0.058
## -0.014 0.100 0.043 0.043
## -0.013 0.095 0.041 0.041
## -0.000 0.169 0.084 0.084model_fit <- lavaan::summary(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 596 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 233
##
## Used Total
## Number of observations 4478 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 24492.618 16204.062
## Degrees of freedom 3751 3751
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.512
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 107589.102 71031.258
## Degrees of freedom 3901 3901
## P-value 0.000 0.000
## Scaling correction factor 1.515
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.800 0.814
## Tucker-Lewis Index (TLI) 0.792 0.807
##
## Robust Comparative Fit Index (CFI) 0.815
## Robust Tucker-Lewis Index (TLI) 0.807
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -156667.480 -156667.480
## Scaling correction factor 5.140
## for the MLR correction
## Loglikelihood unrestricted model (H1) -144421.171 -144421.171
## Scaling correction factor 1.724
## for the MLR correction
##
## Akaike (AIC) 313800.960 313800.960
## Bayesian (BIC) 315293.775 315293.775
## Sample-size adjusted Bayesian (BIC) 314553.392 314553.392
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.035 0.027
## 90 Percent confidence interval - lower 0.035 0.027
## 90 Percent confidence interval - upper 0.036 0.028
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.033
## 90 Percent confidence interval - lower 0.033
## 90 Percent confidence interval - upper 0.034
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.039 0.039
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## Ext =~
## CBCL_Q03_P 1.000
## CBCL_Q07_P 0.504 0.025 20.379 0.000
## CBCL_Q109_P 0.588 0.024 24.979 0.000
## CBCL_Q15_P 0.054 0.011 5.142 0.000
## CBCL_Q16_P 0.336 0.022 15.289 0.000
## CBCL_Q19_P 0.694 0.025 27.872 0.000
## CBCL_Q26_P 0.453 0.024 19.096 0.000
## CBCL_Q27_P 0.610 0.025 24.559 0.000
## CBCL_Q34_P 0.244 0.022 11.177 0.000
## CBCL_Q37_P 0.176 0.019 9.247 0.000
## CBCL_Q39_P 0.184 0.018 10.285 0.000
## CBCL_Q43_P 0.602 0.024 25.171 0.000
## CBCL_Q67_P 0.033 0.009 3.503 0.000
## CBCL_Q68_P 0.497 0.023 21.431 0.000
## CBCL_Q72_P 0.023 0.006 3.655 0.000
## CBCL_Q74_P 0.561 0.026 21.159 0.000
## CBCL_Q86_P 0.852 0.022 38.764 0.000
## CBCL_Q87_P 0.659 0.025 26.245 0.000
## CBCL_Q88_P 0.486 0.025 19.438 0.000
## CBCL_Q89_P 0.168 0.020 8.441 0.000
## CBCL_Q90_P 0.267 0.024 11.358 0.000
## CBCL_Q94_P 0.322 0.023 14.100 0.000
## CBCL_Q95_P 0.820 0.022 36.444 0.000
## CBCL_Q96_P 0.042 0.012 3.372 0.001
## Com1_Attack 0.325 0.021 15.519 0.000
## Com2_Destroy 0.244 0.020 12.419 0.000
## Com3_Disobeys 0.682 0.019 35.298 0.000
## Com4_Steals 0.212 0.019 11.139 0.000
## Com5_Peer 0.454 0.022 20.861 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.475 0.066 22.260 0.000
## CBCL_Q09_P 1.310 0.062 20.972 0.000
## CBCL_Q13_P 0.459 0.038 12.049 0.000
## CBCL_Q17_P 1.129 0.062 18.339 0.000
## CBCL_Q36_P 0.633 0.042 14.897 0.000
## CBCL_Q46_P 0.654 0.047 13.998 0.000
## CBCL_Q61_P 0.800 0.043 18.706 0.000
## CBCL_Q62_P 0.723 0.042 17.318 0.000
## CBCL_Q64_P 0.727 0.040 18.019 0.000
## CBCL_Q66_P 0.494 0.041 12.072 0.000
## CBCL_Q80_P 0.595 0.042 14.141 0.000
## CBCL_Q85_P 0.425 0.033 12.797 0.000
## CBCL_Q93_P 0.982 0.055 17.768 0.000
## Com6_Distractd 1.737 0.073 23.712 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.397 0.026 15.045 0.000
## CBCL_Q29_P 0.536 0.025 21.048 0.000
## CBCL_Q30_P 0.209 0.021 9.807 0.000
## CBCL_Q31_P 0.351 0.024 14.704 0.000
## CBCL_Q32_P 0.658 0.028 23.113 0.000
## CBCL_Q35_P 0.538 0.027 19.961 0.000
## CBCL_Q45_P 0.739 0.025 29.220 0.000
## CBCL_Q50_P 0.883 0.022 40.821 0.000
## CBCL_Q52_P 0.357 0.024 14.751 0.000
## CBCL_Q71_P 0.848 0.028 30.525 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.789 0.314 8.882 0.000
## CBCL_Q56B_P 3.704 0.391 9.474 0.000
## CBCL_Q56C_P 4.051 0.460 8.803 0.000
## CBCL_Q56D_P 0.551 0.103 5.341 0.000
## CBCL_Q56E_P 1.459 0.209 6.966 0.000
## CBCL_Q56F_P 4.872 0.535 9.104 0.000
## CBCL_Q56G_P 1.066 0.158 6.753 0.000
## CBCL_Q56H_P 0.656 0.129 5.093 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.247 0.088 14.104 0.000
## CBCL_Q42_P 1.724 0.140 12.332 0.000
## CBCL_Q65_P 0.981 0.103 9.481 0.000
## CBCL_Q75_P 1.633 0.152 10.771 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.206 0.047 25.525 0.000
## NIHTBX_PATTERN 1.002 0.043 23.559 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.069 0.038 27.973 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.053 0.038 27.510 0.000
## NIHTBX_LIST_UN 1.149 0.055 20.981 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.158 0.051 22.878 0.000
## g =~
## EF 0.359 0.017 21.143 0.000
## verbal 0.517 0.017 29.663 0.000
## memory 0.455 0.015 29.420 0.000
## spatial 0.477 0.016 28.948 0.000
## BIS =~
## BISBAS2_Y 1.000
## BISBAS3_Y 1.146 0.075 15.282 0.000
## BISBAS4_Y 1.207 0.078 15.397 0.000
## BISBAS6_Y 1.029 0.036 28.488 0.000
## Std.lv Std.all
##
## 0.429 0.661
## 0.216 0.434
## 0.252 0.487
## 0.023 0.241
## 0.144 0.518
## 0.297 0.576
## 0.194 0.528
## 0.261 0.548
## 0.105 0.415
## 0.075 0.433
## 0.079 0.306
## 0.258 0.563
## 0.014 0.219
## 0.213 0.585
## 0.010 0.133
## 0.240 0.451
## 0.365 0.649
## 0.282 0.612
## 0.208 0.537
## 0.072 0.384
## 0.114 0.401
## 0.138 0.430
## 0.351 0.653
## 0.018 0.192
## 0.139 0.530
## 0.105 0.484
## 0.292 0.656
## 0.091 0.427
## 0.194 0.537
##
## 0.255 0.537
## 0.376 0.622
## 0.334 0.598
## 0.117 0.464
## 0.288 0.530
## 0.161 0.380
## 0.167 0.443
## 0.204 0.543
## 0.184 0.483
## 0.185 0.439
## 0.126 0.440
## 0.152 0.509
## 0.109 0.429
## 0.250 0.457
## 0.443 0.717
##
## 0.411 0.696
## 0.163 0.438
## 0.220 0.495
## 0.086 0.374
## 0.144 0.462
## 0.270 0.478
## 0.221 0.560
## 0.304 0.632
## 0.363 0.714
## 0.147 0.496
## 0.348 0.565
##
## 0.065 0.311
## 0.182 0.428
## 0.242 0.483
## 0.265 0.696
## 0.036 0.180
## 0.095 0.234
## 0.318 0.662
## 0.070 0.339
## 0.043 0.243
##
## 0.136 0.482
## 0.170 0.634
## 0.235 0.555
## 0.134 0.461
## 0.223 0.486
##
## 0.596 0.599
## 0.719 0.722
## 0.597 0.599
##
## 0.684 0.682
## 0.731 0.731
##
## 0.537 0.537
## 0.566 0.565
## 0.617 0.616
##
## 0.495 0.496
## 0.573 0.572
##
## 0.607 0.607
## 0.762 0.762
## 0.855 0.855
## 0.971 0.971
##
## 0.533 0.534
## 0.611 0.612
## 0.644 0.644
## 0.549 0.551
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## Ext ~
## wMDD5_ (cExt) 0.020 0.006 3.160 0.002
## pc1 0.157 1.831 0.086 0.932
## pc2 1.753 9.608 0.182 0.855
## pc3 0.324 0.499 0.648 0.517
## pc4 16.531 12.007 1.377 0.169
## SEXnum -0.096 0.013 -7.240 0.000
## NDe ~
## wMDD5_ (cNDe) 0.007 0.004 1.856 0.063
## pc1 -0.228 0.924 -0.247 0.805
## pc2 1.225 4.841 0.253 0.800
## pc3 -0.079 0.250 -0.317 0.751
## pc4 -4.466 6.213 -0.719 0.472
## SEXnum -0.072 0.009 -8.199 0.000
## Int ~
## wMDD5_ (cInt) 0.018 0.007 2.793 0.005
## pc1 -0.354 1.756 -0.202 0.840
## pc2 2.206 8.686 0.254 0.800
## pc3 -0.213 0.443 -0.482 0.630
## pc4 -4.001 11.180 -0.358 0.720
## SEXnum -0.025 0.014 -1.839 0.066
## Som ~
## wMDD5_ (cSom) 0.003 0.001 2.810 0.005
## pc1 -0.115 0.257 -0.449 0.653
## pc2 0.738 1.312 0.563 0.574
## pc3 0.159 0.069 2.319 0.020
## pc4 -1.421 1.788 -0.795 0.427
## SEXnum 0.008 0.003 3.111 0.002
## Det ~
## wMDD5_ (cDet) 0.007 0.002 3.019 0.003
## pc1 -0.020 0.589 -0.034 0.973
## pc2 -0.513 2.853 -0.180 0.857
## pc3 -0.117 0.142 -0.826 0.409
## pc4 -3.260 3.893 -0.837 0.402
## SEXnum -0.022 0.005 -4.104 0.000
## Ext ~
## g (bGEx) -0.082 0.009 -9.253 0.000
## BIS (bBISE) 0.030 0.017 1.735 0.083
## NDe ~
## g (bGND) -0.068 0.006 -10.888 0.000
## BIS (bBISN) 0.027 0.011 2.557 0.011
## Int ~
## g (bGIn) -0.024 0.009 -2.800 0.005
## BIS (bBISI) 0.152 0.018 8.359 0.000
## Som ~
## g (bGSm) -0.004 0.001 -2.646 0.008
## BIS (bBISS) 0.004 0.003 1.565 0.118
## Det ~
## g (bGDt) -0.006 0.003 -1.940 0.052
## BIS (bBISD) 0.016 0.006 2.520 0.012
## g ~
## wMDD5_ (aG) -0.055 0.018 -2.981 0.003
## BIS ~
## wMDD5_ (aBIS) 0.021 0.010 2.163 0.031
## g ~
## pc1 9.789 4.957 1.975 0.048
## pc2 -3.152 27.964 -0.113 0.910
## pc3 -1.874 1.412 -1.327 0.185
## pc4 -2.401 28.783 -0.083 0.934
## SEXnum 0.039 0.037 1.070 0.285
## BIS ~
## pc1 0.006 2.375 0.002 0.998
## pc2 0.702 11.943 0.059 0.953
## pc3 1.143 0.602 1.897 0.058
## pc4 -0.581 16.108 -0.036 0.971
## SEXnum 0.117 0.019 6.045 0.000
## Std.lv Std.all
##
## 0.046 0.046
## 0.367 0.005
## 4.090 0.010
## 0.755 0.008
## 38.577 0.026
## -0.225 -0.112
##
## 0.029 0.029
## -0.894 -0.011
## 4.802 0.012
## -0.311 -0.003
## -17.506 -0.012
## -0.283 -0.141
##
## 0.045 0.045
## -0.863 -0.011
## 5.371 0.013
## -0.520 -0.006
## -9.741 -0.007
## -0.061 -0.030
##
## 0.050 0.050
## -1.764 -0.022
## 11.309 0.027
## 2.437 0.026
## -21.767 -0.015
## 0.122 0.061
##
## 0.053 0.053
## -0.146 -0.002
## -3.758 -0.009
## -0.859 -0.009
## -23.896 -0.016
## -0.158 -0.079
##
## -0.192 -0.192
## 0.038 0.038
##
## -0.270 -0.270
## 0.056 0.056
##
## -0.059 -0.059
## 0.198 0.198
##
## -0.056 -0.056
## 0.034 0.034
##
## -0.046 -0.046
## 0.061 0.061
##
## -0.055 -0.055
##
## 0.039 0.039
##
## 9.708 0.123
## -3.126 -0.008
## -1.858 -0.020
## -2.381 -0.002
## 0.039 0.020
##
## 0.011 0.000
## 1.316 0.003
## 2.142 0.023
## -1.089 -0.001
## 0.220 0.110
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .g ~~
## .BIS -0.016 0.012 -1.327 0.185
## .Ext ~~
## .NDe 0.069 0.004 17.356 0.000
## .Int 0.093 0.004 21.233 0.000
## .Som 0.010 0.001 7.793 0.000
## .Det 0.029 0.003 10.100 0.000
## .NDe ~~
## .Int 0.060 0.004 17.272 0.000
## .Som 0.007 0.001 7.097 0.000
## .Det 0.019 0.002 8.620 0.000
## .Int ~~
## .Som 0.013 0.002 7.786 0.000
## .Det 0.034 0.003 10.903 0.000
## .Som ~~
## .Det 0.004 0.001 5.794 0.000
## Std.lv Std.all
##
## -0.031 -0.031
##
## 0.685 0.685
## 0.559 0.559
## 0.379 0.379
## 0.519 0.519
##
## 0.622 0.622
## 0.420 0.420
## 0.578 0.578
##
## 0.516 0.516
## 0.619 0.619
##
## 0.407 0.407
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .g 1.000
## .CBCL_Q03_P 0.236 0.006 37.288 0.000
## .CBCL_Q07_P 0.201 0.005 38.754 0.000
## .CBCL_Q109_P 0.204 0.005 39.734 0.000
## .CBCL_Q15_P 0.009 0.002 5.429 0.000
## .CBCL_Q16_P 0.056 0.003 20.735 0.000
## .CBCL_Q19_P 0.178 0.006 29.543 0.000
## .CBCL_Q26_P 0.097 0.005 21.622 0.000
## .CBCL_Q27_P 0.159 0.005 30.328 0.000
## .CBCL_Q34_P 0.053 0.003 15.435 0.000
## .CBCL_Q37_P 0.025 0.002 12.115 0.000
## .CBCL_Q39_P 0.060 0.003 17.202 0.000
## .CBCL_Q43_P 0.143 0.004 33.335 0.000
## .CBCL_Q67_P 0.004 0.001 3.529 0.000
## .CBCL_Q68_P 0.087 0.004 21.979 0.000
## .CBCL_Q72_P 0.005 0.001 4.053 0.000
## .CBCL_Q74_P 0.226 0.006 36.162 0.000
## .CBCL_Q86_P 0.183 0.005 37.006 0.000
## .CBCL_Q87_P 0.133 0.004 29.594 0.000
## .CBCL_Q88_P 0.107 0.004 25.890 0.000
## .CBCL_Q89_P 0.030 0.003 10.343 0.000
## .CBCL_Q90_P 0.068 0.004 15.650 0.000
## .CBCL_Q94_P 0.084 0.004 22.543 0.000
## .CBCL_Q95_P 0.166 0.005 33.435 0.000
## .CBCL_Q96_P 0.008 0.002 4.747 0.000
## .Com1_Attack 0.050 0.002 20.787 0.000
## .Com2_Destroy 0.036 0.002 16.910 0.000
## .Com3_Disobeys 0.113 0.004 32.191 0.000
## .Com4_Steals 0.037 0.002 16.107 0.000
## .Com5_Peer 0.093 0.004 24.951 0.000
## .CBCL_Q01_P 0.161 0.005 30.384 0.000
## .CBCL_Q04_P 0.224 0.006 36.623 0.000
## .CBCL_Q09_P 0.201 0.006 33.177 0.000
## .CBCL_Q13_P 0.050 0.003 15.046 0.000
## .CBCL_Q17_P 0.212 0.006 34.347 0.000
## .CBCL_Q36_P 0.154 0.006 25.826 0.000
## .CBCL_Q46_P 0.114 0.005 21.057 0.000
## .CBCL_Q61_P 0.100 0.004 22.340 0.000
## .CBCL_Q62_P 0.112 0.005 22.106 0.000
## .CBCL_Q64_P 0.144 0.005 27.266 0.000
## .CBCL_Q66_P 0.066 0.004 15.601 0.000
## .CBCL_Q80_P 0.066 0.003 19.850 0.000
## .CBCL_Q85_P 0.052 0.003 16.838 0.000
## .CBCL_Q93_P 0.238 0.007 34.760 0.000
## .Com6_Distractd 0.185 0.006 30.097 0.000
## .CBCL_Q112_P 0.179 0.005 33.657 0.000
## .CBCL_Q12_P 0.112 0.005 22.194 0.000
## .CBCL_Q29_P 0.149 0.005 29.561 0.000
## .CBCL_Q30_P 0.045 0.003 13.223 0.000
## .CBCL_Q31_P 0.077 0.004 20.690 0.000
## .CBCL_Q32_P 0.248 0.007 36.995 0.000
## .CBCL_Q35_P 0.107 0.004 26.698 0.000
## .CBCL_Q45_P 0.139 0.005 28.202 0.000
## .CBCL_Q50_P 0.127 0.005 27.630 0.000
## .CBCL_Q52_P 0.066 0.003 19.737 0.000
## .CBCL_Q71_P 0.259 0.006 42.590 0.000
## .CBCL_Q51_P 0.040 0.003 13.053 0.000
## .CBCL_Q56A_P 0.148 0.005 28.216 0.000
## .CBCL_Q56B_P 0.193 0.006 32.222 0.000
## .CBCL_Q56C_P 0.075 0.004 21.007 0.000
## .CBCL_Q56D_P 0.039 0.004 9.370 0.000
## .CBCL_Q56E_P 0.157 0.006 24.144 0.000
## .CBCL_Q56F_P 0.130 0.006 22.334 0.000
## .CBCL_Q56G_P 0.037 0.003 14.772 0.000
## .CBCL_Q56H_P 0.029 0.003 8.999 0.000
## .CBCL_Q102_P 0.061 0.004 16.002 0.000
## .CBCL_Q111_P 0.043 0.002 17.663 0.000
## .CBCL_Q42_P 0.124 0.005 24.818 0.000
## .CBCL_Q65_P 0.066 0.004 17.229 0.000
## .CBCL_Q75_P 0.161 0.006 27.229 0.000
## .NIHTBX_FLANKER 0.634 0.021 30.119 0.000
## .NIHTBX_CARDSOR 0.474 0.023 20.568 0.000
## .NIHTBX_PATTERN 0.639 0.021 31.134 0.000
## .NIHTBX_PICVOCA 0.538 0.022 24.682 0.000
## .NIHTBX_READING 0.466 0.023 20.594 0.000
## .NIHTBX_PICTURE 0.710 0.019 37.239 0.000
## .PEA_RAVLT_LD_T 0.682 0.021 32.820 0.000
## .NIHTBX_LIST_UN 0.624 0.022 28.336 0.000
## .LMT_SCR_PERC_C 0.750 0.020 36.910 0.000
## .PEA_WISCV_TRS 0.674 0.023 29.810 0.000
## .BISBAS2_Y 0.713 0.025 28.878 0.000
## .BISBAS3_Y 0.624 0.023 27.407 0.000
## .BISBAS4_Y 0.584 0.025 23.736 0.000
## .BISBAS6_Y 0.690 0.024 29.051 0.000
## .Ext 0.174 0.007 23.591 0.000
## .NDe 0.059 0.005 12.364 0.000
## .Int 0.161 0.007 21.938 0.000
## .Som 0.004 0.001 4.746 0.000
## .Det 0.018 0.003 6.453 0.000
## .EF 0.224 0.015 14.742 0.000
## .verbal 0.196 0.015 12.653 0.000
## .memory 0.078 0.011 6.750 0.000
## .spatial 0.014 0.012 1.202 0.229
## .BIS 0.281 0.025 11.358 0.000
## Std.lv Std.all
## 0.983 0.983
## 0.236 0.563
## 0.201 0.812
## 0.204 0.763
## 0.009 0.942
## 0.056 0.731
## 0.178 0.668
## 0.097 0.721
## 0.159 0.700
## 0.053 0.828
## 0.025 0.812
## 0.060 0.906
## 0.143 0.683
## 0.004 0.952
## 0.087 0.658
## 0.005 0.982
## 0.226 0.796
## 0.183 0.579
## 0.133 0.625
## 0.107 0.712
## 0.030 0.853
## 0.068 0.839
## 0.084 0.815
## 0.166 0.574
## 0.008 0.963
## 0.050 0.720
## 0.036 0.766
## 0.113 0.570
## 0.037 0.817
## 0.093 0.712
## 0.161 0.712
## 0.224 0.613
## 0.201 0.642
## 0.050 0.785
## 0.212 0.719
## 0.154 0.855
## 0.114 0.803
## 0.100 0.705
## 0.112 0.767
## 0.144 0.807
## 0.066 0.807
## 0.066 0.741
## 0.052 0.816
## 0.238 0.791
## 0.185 0.485
## 0.179 0.515
## 0.112 0.808
## 0.149 0.755
## 0.045 0.860
## 0.077 0.787
## 0.248 0.772
## 0.107 0.687
## 0.139 0.601
## 0.127 0.491
## 0.066 0.754
## 0.259 0.681
## 0.040 0.903
## 0.148 0.817
## 0.193 0.767
## 0.075 0.516
## 0.039 0.968
## 0.157 0.945
## 0.130 0.562
## 0.037 0.885
## 0.029 0.941
## 0.061 0.767
## 0.043 0.598
## 0.124 0.692
## 0.066 0.788
## 0.161 0.764
## 0.634 0.641
## 0.474 0.478
## 0.639 0.642
## 0.538 0.535
## 0.466 0.465
## 0.710 0.711
## 0.682 0.681
## 0.624 0.621
## 0.750 0.754
## 0.674 0.672
## 0.713 0.715
## 0.624 0.625
## 0.584 0.585
## 0.690 0.696
## 0.945 0.945
## 0.901 0.901
## 0.954 0.954
## 0.987 0.987
## 0.985 0.985
## 0.632 0.632
## 0.419 0.419
## 0.269 0.269
## 0.057 0.057
## 0.986 0.986
##
## R-Square:
## Estimate
## g 0.017
## CBCL_Q03_P 0.437
## CBCL_Q07_P 0.188
## CBCL_Q109_P 0.237
## CBCL_Q15_P 0.058
## CBCL_Q16_P 0.269
## CBCL_Q19_P 0.332
## CBCL_Q26_P 0.279
## CBCL_Q27_P 0.300
## CBCL_Q34_P 0.172
## CBCL_Q37_P 0.188
## CBCL_Q39_P 0.094
## CBCL_Q43_P 0.317
## CBCL_Q67_P 0.048
## CBCL_Q68_P 0.342
## CBCL_Q72_P 0.018
## CBCL_Q74_P 0.204
## CBCL_Q86_P 0.421
## CBCL_Q87_P 0.375
## CBCL_Q88_P 0.288
## CBCL_Q89_P 0.147
## CBCL_Q90_P 0.161
## CBCL_Q94_P 0.185
## CBCL_Q95_P 0.426
## CBCL_Q96_P 0.037
## Com1_Attack 0.280
## Com2_Destroy 0.234
## Com3_Disobeys 0.430
## Com4_Steals 0.183
## Com5_Peer 0.288
## CBCL_Q01_P 0.288
## CBCL_Q04_P 0.387
## CBCL_Q09_P 0.358
## CBCL_Q13_P 0.215
## CBCL_Q17_P 0.281
## CBCL_Q36_P 0.145
## CBCL_Q46_P 0.197
## CBCL_Q61_P 0.295
## CBCL_Q62_P 0.233
## CBCL_Q64_P 0.193
## CBCL_Q66_P 0.193
## CBCL_Q80_P 0.259
## CBCL_Q85_P 0.184
## CBCL_Q93_P 0.209
## Com6_Distractd 0.515
## CBCL_Q112_P 0.485
## CBCL_Q12_P 0.192
## CBCL_Q29_P 0.245
## CBCL_Q30_P 0.140
## CBCL_Q31_P 0.213
## CBCL_Q32_P 0.228
## CBCL_Q35_P 0.313
## CBCL_Q45_P 0.399
## CBCL_Q50_P 0.509
## CBCL_Q52_P 0.246
## CBCL_Q71_P 0.319
## CBCL_Q51_P 0.097
## CBCL_Q56A_P 0.183
## CBCL_Q56B_P 0.233
## CBCL_Q56C_P 0.484
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.055
## CBCL_Q56F_P 0.438
## CBCL_Q56G_P 0.115
## CBCL_Q56H_P 0.059
## CBCL_Q102_P 0.233
## CBCL_Q111_P 0.402
## CBCL_Q42_P 0.308
## CBCL_Q65_P 0.212
## CBCL_Q75_P 0.236
## NIHTBX_FLANKER 0.359
## NIHTBX_CARDSOR 0.522
## NIHTBX_PATTERN 0.358
## NIHTBX_PICVOCA 0.465
## NIHTBX_READING 0.535
## NIHTBX_PICTURE 0.289
## PEA_RAVLT_LD_T 0.319
## NIHTBX_LIST_UN 0.379
## LMT_SCR_PERC_C 0.246
## PEA_WISCV_TRS 0.328
## BISBAS2_Y 0.285
## BISBAS3_Y 0.375
## BISBAS4_Y 0.415
## BISBAS6_Y 0.304
## Ext 0.055
## NDe 0.099
## Int 0.046
## Som 0.013
## Det 0.015
## EF 0.368
## verbal 0.581
## memory 0.731
## spatial 0.943
## BIS 0.014
##
## Defined Parameters:
## Estimate Std.Err z-value P(>|z|)
## indirectCgGExt 0.004 0.002 2.826 0.005
## indirectBISExt 0.001 0.000 1.373 0.170
## sumIndirectExt 0.005 0.002 3.116 0.002
## indirectCogGND 0.004 0.001 2.852 0.004
## indirectBISNDe 0.001 0.000 1.704 0.088
## sumIndirectNDe 0.004 0.001 3.179 0.001
## indirectCgGInt 0.001 0.001 2.024 0.043
## indirectBISInt 0.003 0.001 2.107 0.035
## sumIndirectInt 0.004 0.002 2.731 0.006
## indirectCogGSm 0.000 0.000 1.977 0.048
## indirectBISSom 0.000 0.000 1.278 0.201
## sumIndirectSom 0.000 0.000 2.367 0.018
## indirectCogGDt 0.000 0.000 1.609 0.108
## indirectBISDet 0.000 0.000 1.646 0.100
## sumIndirectDet 0.001 0.000 2.310 0.021
## directExt 0.020 0.006 3.160 0.002
## directNDe 0.007 0.004 1.856 0.063
## directInt 0.018 0.007 2.793 0.005
## directSom 0.003 0.001 2.810 0.005
## directDet 0.007 0.002 3.019 0.003
## totalExt 0.025 0.006 3.975 0.000
## propCogGExt 0.181 0.073 2.467 0.014
## propBISExt 0.025 0.019 1.302 0.193
## prpSmIndrctExt 0.206 0.078 2.630 0.009
## totalNDe 0.012 0.004 2.917 0.004
## propCogGNDe 0.322 0.143 2.261 0.024
## propBISNDe 0.048 0.031 1.519 0.129
## propSmIndrctND 0.370 0.154 2.399 0.016
## totalInt 0.023 0.007 3.480 0.001
## propCogGInt 0.057 0.033 1.765 0.078
## propBISInt 0.137 0.072 1.898 0.058
## prpSmIndrctInt 0.195 0.086 2.273 0.023
## totalSom 0.004 0.001 3.043 0.002
## propCogGSom 0.056 0.033 1.717 0.086
## propBISSom 0.024 0.020 1.204 0.229
## propSmIndrctSm 0.081 0.041 1.961 0.050
## totalDet 0.008 0.002 3.293 0.001
## propCogGDet 0.043 0.029 1.494 0.135
## propBISDet 0.041 0.028 1.480 0.139
## propSmIndrctDt 0.084 0.043 1.955 0.051
## Std.lv Std.all
## 0.010 0.011
## 0.001 0.001
## 0.012 0.012
## 0.015 0.015
## 0.002 0.002
## 0.017 0.017
## 0.003 0.003
## 0.008 0.008
## 0.011 0.011
## 0.003 0.003
## 0.001 0.001
## 0.004 0.004
## 0.003 0.003
## 0.002 0.002
## 0.005 0.005
## 0.046 0.046
## 0.029 0.029
## 0.045 0.045
## 0.050 0.050
## 0.053 0.053
## 0.058 0.058
## 0.181 0.181
## 0.025 0.025
## 0.206 0.206
## 0.046 0.046
## 0.322 0.322
## 0.048 0.048
## 0.370 0.370
## 0.056 0.056
## 0.057 0.057
## 0.137 0.137
## 0.195 0.195
## 0.054 0.055
## 0.056 0.056
## 0.024 0.024
## 0.081 0.081
## 0.058 0.058
## 0.043 0.043
## 0.041 0.041
## 0.084 0.084MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 <-broom::tidy(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit)%>%
filter(op %in% c("~",":=")) %>%
filter(!str_detect(term, "pc")) %>%
filter(!str_detect(term, "cnt")) %>%
filter(!str_detect(term, "SEXnum"))
knitr::kable(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2, format = "html", row.names = TRUE) | term | op | label | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ext ~ wrayMDDp5e_2_score | ~ | cExt | 0.0197515 | 0.0062507 | 3.159894 | 0.0015783 | 0.0460933 | 0.0463291 | 0.0460933 |
| 2 | NDe ~ wrayMDDp5e_2_score | ~ | cNDe | 0.0073496 | 0.0039601 | 1.855889 | 0.0634695 | 0.0288094 | 0.0289567 | 0.0288094 |
| 3 | Int ~ wrayMDDp5e_2_score | ~ | cInt | 0.0184408 | 0.0066030 | 2.792815 | 0.0052252 | 0.0448986 | 0.0451283 | 0.0448986 |
| 4 | Som ~ wrayMDDp5e_2_score | ~ | cSom | 0.0032643 | 0.0011618 | 2.809785 | 0.0049575 | 0.0499884 | 0.0502441 | 0.0499884 |
| 5 | Det ~ wrayMDDp5e_2_score | ~ | cDet | 0.0072047 | 0.0023866 | 3.018785 | 0.0025379 | 0.0528061 | 0.0530763 | 0.0528061 |
| 6 | Ext ~ g | ~ | bGExt | -0.0815690 | 0.0088150 | -9.253379 | 0.0000000 | -0.1919454 | -0.1919454 | -0.1919454 |
| 7 | Ext ~ BIS | ~ | bBISExt | 0.0301889 | 0.0173982 | 1.735176 | 0.0827096 | 0.0375836 | 0.0375836 | 0.0375836 |
| 8 | NDe ~ g | ~ | bGNDe | -0.0681993 | 0.0062637 | -10.887981 | 0.0000000 | -0.2695679 | -0.2695679 | -0.2695679 |
| 9 | NDe ~ BIS | ~ | bBISNDe | 0.0268765 | 0.0105099 | 2.557268 | 0.0105498 | 0.0562030 | 0.0562030 | 0.0562030 |
| 10 | Int ~ g | ~ | bGInt | -0.0238649 | 0.0085226 | -2.800206 | 0.0051070 | -0.0585907 | -0.0585907 | -0.0585907 |
| 11 | Int ~ BIS | ~ | bBISInt | 0.1521857 | 0.0182072 | 8.358551 | 0.0000000 | 0.1976701 | 0.1976701 | 0.1976701 |
| 12 | Som ~ g | ~ | bGSom | -0.0036377 | 0.0013749 | -2.645847 | 0.0081487 | -0.0561720 | -0.0561720 | -0.0561720 |
| 13 | Som ~ BIS | ~ | bBISSom | 0.0041987 | 0.0026828 | 1.565029 | 0.1175761 | 0.0343013 | 0.0343013 | 0.0343013 |
| 14 | Det ~ g | ~ | bGDet | -0.0061914 | 0.0031910 | -1.940279 | 0.0523458 | -0.0457587 | -0.0457587 | -0.0457587 |
| 15 | Det ~ BIS | ~ | bBISDet | 0.0155618 | 0.0061753 | 2.520031 | 0.0117344 | 0.0608474 | 0.0608474 | 0.0608474 |
| 16 | g ~ wrayMDDp5e_2_score | ~ | aG | -0.0551354 | 0.0184957 | -2.980987 | 0.0028732 | -0.0546782 | -0.0549580 | -0.0546782 |
| 17 | BIS ~ wrayMDDp5e_2_score | ~ | aBIS | 0.0206357 | 0.0095409 | 2.162855 | 0.0305524 | 0.0386815 | 0.0388794 | 0.0386815 |
| 18 | indirectCogGExt := aG*bGExt | := | indirectCogGExt | 0.0044973 | 0.0015915 | 2.825852 | 0.0047155 | 0.0104952 | 0.0105489 | 0.0104952 |
| 19 | indirectBISExt := aBIS*bBISExt | := | indirectBISExt | 0.0006230 | 0.0004537 | 1.373110 | 0.1697182 | 0.0014538 | 0.0014612 | 0.0014538 |
| 20 | sumIndirectExt := (aGbGExt)+(aBISbBISExt) | := | sumIndirectExt | 0.0051203 | 0.0016435 | 3.115532 | 0.0018361 | 0.0119490 | 0.0120102 | 0.0119490 |
| 21 | indirectCogGNDe := aG*bGNDe | := | indirectCogGNDe | 0.0037602 | 0.0013184 | 2.852162 | 0.0043423 | 0.0147395 | 0.0148149 | 0.0147395 |
| 22 | indirectBISNDe := aBIS*bBISNDe | := | indirectBISNDe | 0.0005546 | 0.0003255 | 1.704145 | 0.0883540 | 0.0021740 | 0.0021851 | 0.0021740 |
| 23 | sumIndirectNDe := (aGbGNDe)+(aBISbBISNDe) | := | sumIndirectNDe | 0.0043148 | 0.0013574 | 3.178674 | 0.0014795 | 0.0169135 | 0.0170000 | 0.0169135 |
| 24 | indirectCogGInt := aG*bGInt | := | indirectCogGInt | 0.0013158 | 0.0006501 | 2.024023 | 0.0429678 | 0.0032036 | 0.0032200 | 0.0032036 |
| 25 | indirectBISInt := aBIS*bBISInt | := | indirectBISInt | 0.0031405 | 0.0014908 | 2.106572 | 0.0351547 | 0.0076462 | 0.0076853 | 0.0076462 |
| 26 | sumIndirectInt := (aGbGInt)+(aBISbBISInt) | := | sumIndirectInt | 0.0044563 | 0.0016314 | 2.731496 | 0.0063048 | 0.0108498 | 0.0109053 | 0.0108498 |
| 27 | indirectCogGSom := aG*bGSom | := | indirectCogGSom | 0.0002006 | 0.0001015 | 1.976694 | 0.0480762 | 0.0030714 | 0.0030871 | 0.0030714 |
| 28 | indirectBISSom := aBIS*bBISSom | := | indirectBISSom | 0.0000866 | 0.0000678 | 1.277834 | 0.2013079 | 0.0013268 | 0.0013336 | 0.0013268 |
| 29 | sumIndirectSom := (aGbGSom)+(aBISbBISSom) | := | sumIndirectSom | 0.0002872 | 0.0001213 | 2.366799 | 0.0179427 | 0.0043982 | 0.0044207 | 0.0043982 |
| 30 | indirectCogGDet := aG*bGDet | := | indirectCogGDet | 0.0003414 | 0.0002122 | 1.608971 | 0.1076226 | 0.0025020 | 0.0025148 | 0.0025020 |
| 31 | indirectBISDet := aBIS*bBISDet | := | indirectBISDet | 0.0003211 | 0.0001951 | 1.646137 | 0.0997356 | 0.0023537 | 0.0023657 | 0.0023537 |
| 32 | sumIndirectDet := (aGbGDet)+(aBISbBISDet) | := | sumIndirectDet | 0.0006625 | 0.0002868 | 2.309754 | 0.0209018 | 0.0048557 | 0.0048805 | 0.0048557 |
| 33 | directExt := cExt | := | directExt | 0.0197515 | 0.0062507 | 3.159894 | 0.0015783 | 0.0460933 | 0.0463291 | 0.0460933 |
| 34 | directNDe := cNDe | := | directNDe | 0.0073496 | 0.0039601 | 1.855889 | 0.0634695 | 0.0288094 | 0.0289567 | 0.0288094 |
| 35 | directInt := cInt | := | directInt | 0.0184408 | 0.0066030 | 2.792815 | 0.0052252 | 0.0448986 | 0.0451283 | 0.0448986 |
| 36 | directSom := cSom | := | directSom | 0.0032643 | 0.0011618 | 2.809785 | 0.0049575 | 0.0499884 | 0.0502441 | 0.0499884 |
| 37 | directDet := cDet | := | directDet | 0.0072047 | 0.0023866 | 3.018785 | 0.0025379 | 0.0528061 | 0.0530763 | 0.0528061 |
| 38 | totalExt := cExt+(aGbGExt)+(aBISbBISExt) | := | totalExt | 0.0248719 | 0.0062563 | 3.975488 | 0.0000702 | 0.0580423 | 0.0583392 | 0.0580423 |
| 39 | propCogGExt := indirectCogGExt/totalExt | := | propCogGExt | 0.1808205 | 0.0732921 | 2.467122 | 0.0136204 | 0.1808205 | 0.1808205 | 0.1808205 |
| 40 | propBISExt := indirectBISExt/totalExt | := | propBISExt | 0.0250471 | 0.0192321 | 1.302359 | 0.1927937 | 0.0250471 | 0.0250471 | 0.0250471 |
| 41 | propSumIndirectExt := sumIndirectExt/totalExt | := | propSumIndirectExt | 0.2058676 | 0.0782668 | 2.630331 | 0.0085302 | 0.2058676 | 0.2058676 | 0.2058676 |
| 42 | totalNDe := cNDe+(aGbGNDe)+(aBISbBISNDe) | := | totalNDe | 0.0116644 | 0.0039991 | 2.916724 | 0.0035373 | 0.0457229 | 0.0459568 | 0.0457229 |
| 43 | propCogGNDe := indirectCogGNDe/totalNDe | := | propCogGNDe | 0.3223659 | 0.1425645 | 2.261194 | 0.0237472 | 0.3223659 | 0.3223659 | 0.3223659 |
| 44 | propBISNDe := indirectBISNDe/totalNDe | := | propBISNDe | 0.0475477 | 0.0313040 | 1.518901 | 0.1287873 | 0.0475477 | 0.0475477 | 0.0475477 |
| 45 | propSumIndirectNDe := sumIndirectNDe/totalNDe | := | propSumIndirectNDe | 0.3699137 | 0.1541872 | 2.399120 | 0.0164345 | 0.3699137 | 0.3699137 | 0.3699137 |
| 46 | totalInt := cInt+(aGbGInt)+(aBISbBISInt) | := | totalInt | 0.0228971 | 0.0065795 | 3.480069 | 0.0005013 | 0.0557484 | 0.0560336 | 0.0557484 |
| 47 | propCogGInt := indirectCogGInt/totalInt | := | propCogGInt | 0.0574659 | 0.0325664 | 1.764576 | 0.0776351 | 0.0574659 | 0.0574659 | 0.0574659 |
| 48 | propBISInt := indirectBISInt/totalInt | := | propBISInt | 0.1371551 | 0.0722525 | 1.898275 | 0.0576599 | 0.1371551 | 0.1371551 | 0.1371551 |
| 49 | propSumIndirectInt := sumIndirectInt/totalInt | := | propSumIndirectInt | 0.1946210 | 0.0856213 | 2.273045 | 0.0230234 | 0.1946210 | 0.1946210 | 0.1946210 |
| 50 | totalSom := cSom+(aGbGSom)+(aBISbBISSom) | := | totalSom | 0.0035515 | 0.0011670 | 3.043147 | 0.0023412 | 0.0543866 | 0.0546648 | 0.0543866 |
| 51 | propCogGSom := indirectCogGSom/totalSom | := | propCogGSom | 0.0564732 | 0.0328866 | 1.717211 | 0.0859406 | 0.0564732 | 0.0564732 | 0.0564732 |
| 52 | propBISSom := indirectBISSom/totalSom | := | propBISSom | 0.0243962 | 0.0202637 | 1.203935 | 0.2286146 | 0.0243962 | 0.0243962 | 0.0243962 |
| 53 | propSumIndirectSom := sumIndirectSom/totalSom | := | propSumIndirectSom | 0.0808694 | 0.0412343 | 1.961214 | 0.0498540 | 0.0808694 | 0.0808694 | 0.0808694 |
| 54 | totalDet := cDet+(aGbGDet)+(aBISbBISDet) | := | totalDet | 0.0078672 | 0.0023890 | 3.293054 | 0.0009911 | 0.0576618 | 0.0579568 | 0.0576618 |
| 55 | propCogGDet := indirectCogGDet/totalDet | := | propCogGDet | 0.0433910 | 0.0290449 | 1.493928 | 0.1351944 | 0.0433910 | 0.0433910 | 0.0433910 |
| 56 | propBISDet := indirectBISDet/totalDet | := | propBISDet | 0.0408185 | 0.0275787 | 1.480072 | 0.1388541 | 0.0408185 | 0.0408185 | 0.0408185 |
| 57 | propSumIndirectDet := sumIndirectDet/totalDet | := | propSumIndirectDet | 0.0842095 | 0.0430764 | 1.954889 | 0.0505962 | 0.0842095 | 0.0842095 | 0.0842095 |
MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2Std <-
lavaan::standardizedSolution(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit ) %>%
filter(op %in% c("~",":=")) %>%
filter(!str_detect(rhs, "pc")) %>%
filter(!str_detect(rhs, "cnt")) %>%
filter(!str_detect(rhs, "SEXnum"))
knitr::kable(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2Std, format = "html", row.names = TRUE) | lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Ext | ~ | wrayMDDp5e_2_score | 0.0463291 | 0.0145849 | 3.176513 | 0.0014906 | 0.0177432 | 0.0749149 |
| 2 | NDe | ~ | wrayMDDp5e_2_score | 0.0289567 | 0.0155309 | 1.864459 | 0.0622573 | -0.0014833 | 0.0593968 |
| 3 | Int | ~ | wrayMDDp5e_2_score | 0.0451283 | 0.0160965 | 2.803607 | 0.0050534 | 0.0135797 | 0.0766769 |
| 4 | Som | ~ | wrayMDDp5e_2_score | 0.0502441 | 0.0167714 | 2.995825 | 0.0027370 | 0.0173728 | 0.0831154 |
| 5 | Det | ~ | wrayMDDp5e_2_score | 0.0530763 | 0.0171531 | 3.094263 | 0.0019730 | 0.0194568 | 0.0866958 |
| 6 | Ext | ~ | g | -0.1919454 | 0.0201740 | -9.514501 | 0.0000000 | -0.2314857 | -0.1524051 |
| 7 | Ext | ~ | BIS | 0.0375836 | 0.0213192 | 1.762898 | 0.0779177 | -0.0042013 | 0.0793685 |
| 8 | NDe | ~ | g | -0.2695679 | 0.0211141 | -12.767213 | 0.0000000 | -0.3109507 | -0.2281851 |
| 9 | NDe | ~ | BIS | 0.0562030 | 0.0212293 | 2.647427 | 0.0081107 | 0.0145944 | 0.0978117 |
| 10 | Int | ~ | g | -0.0585907 | 0.0208647 | -2.808125 | 0.0049831 | -0.0994847 | -0.0176966 |
| 11 | Int | ~ | BIS | 0.1976701 | 0.0209008 | 9.457541 | 0.0000000 | 0.1567053 | 0.2386349 |
| 12 | Som | ~ | g | -0.0561720 | 0.0202787 | -2.770003 | 0.0056056 | -0.0959175 | -0.0164265 |
| 13 | Som | ~ | BIS | 0.0343013 | 0.0213891 | 1.603677 | 0.1087853 | -0.0076207 | 0.0762232 |
| 14 | Det | ~ | g | -0.0457587 | 0.0228090 | -2.006171 | 0.0448381 | -0.0904634 | -0.0010539 |
| 15 | Det | ~ | BIS | 0.0608474 | 0.0240389 | 2.531204 | 0.0113672 | 0.0137320 | 0.1079628 |
| 16 | g | ~ | wrayMDDp5e_2_score | -0.0549580 | 0.0183834 | -2.989545 | 0.0027939 | -0.0909887 | -0.0189272 |
| 17 | BIS | ~ | wrayMDDp5e_2_score | 0.0388794 | 0.0178789 | 2.174599 | 0.0296602 | 0.0038374 | 0.0739214 |
| 18 | indirectCogGExt | := | aG*bGExt | 0.0105489 | 0.0037259 | 2.831272 | 0.0046363 | 0.0032464 | 0.0178515 |
| 19 | indirectBISExt | := | aBIS*bBISExt | 0.0014612 | 0.0010636 | 1.373870 | 0.1694820 | -0.0006234 | 0.0035458 |
| 20 | sumIndirectExt | := | (aGbGExt)+(aBISbBISExt) | 0.0120102 | 0.0038457 | 3.122999 | 0.0017902 | 0.0044727 | 0.0195476 |
| 21 | indirectCogGNDe | := | aG*bGNDe | 0.0148149 | 0.0051320 | 2.886764 | 0.0038923 | 0.0047563 | 0.0248735 |
| 22 | indirectBISNDe | := | aBIS*bBISNDe | 0.0021851 | 0.0012768 | 1.711371 | 0.0870126 | -0.0003174 | 0.0046877 |
| 23 | sumIndirectNDe | := | (aGbGNDe)+(aBISbBISNDe) | 0.0170000 | 0.0052685 | 3.226725 | 0.0012522 | 0.0066739 | 0.0273261 |
| 24 | indirectCogGInt | := | aG*bGInt | 0.0032200 | 0.0015875 | 2.028321 | 0.0425275 | 0.0001085 | 0.0063315 |
| 25 | indirectBISInt | := | aBIS*bBISInt | 0.0076853 | 0.0036382 | 2.112416 | 0.0346508 | 0.0005546 | 0.0148159 |
| 26 | sumIndirectInt | := | (aGbGInt)+(aBISbBISInt) | 0.0109053 | 0.0039748 | 2.743627 | 0.0060765 | 0.0031149 | 0.0186958 |
| 27 | indirectCogGSom | := | aG*bGSom | 0.0030871 | 0.0015235 | 2.026302 | 0.0427339 | 0.0001011 | 0.0060731 |
| 28 | indirectBISSom | := | aBIS*bBISSom | 0.0013336 | 0.0010310 | 1.293513 | 0.1958335 | -0.0006871 | 0.0033543 |
| 29 | sumIndirectSom | := | (aGbGSom)+(aBISbBISSom) | 0.0044207 | 0.0017980 | 2.458700 | 0.0139441 | 0.0008967 | 0.0079447 |
| 30 | indirectCogGDet | := | aG*bGDet | 0.0025148 | 0.0015244 | 1.649694 | 0.0990055 | -0.0004730 | 0.0055026 |
| 31 | indirectBISDet | := | aBIS*bBISDet | 0.0023657 | 0.0014392 | 1.643761 | 0.1002255 | -0.0004551 | 0.0051865 |
| 32 | sumIndirectDet | := | (aGbGDet)+(aBISbBISDet) | 0.0048805 | 0.0020606 | 2.368533 | 0.0178588 | 0.0008419 | 0.0089191 |
| 33 | directExt | := | cExt | 0.0463291 | 0.0145849 | 3.176513 | 0.0014906 | 0.0177432 | 0.0749149 |
| 34 | directNDe | := | cNDe | 0.0289567 | 0.0155309 | 1.864459 | 0.0622573 | -0.0014833 | 0.0593968 |
| 35 | directInt | := | cInt | 0.0451283 | 0.0160965 | 2.803607 | 0.0050534 | 0.0135797 | 0.0766769 |
| 36 | directSom | := | cSom | 0.0502441 | 0.0167714 | 2.995825 | 0.0027370 | 0.0173728 | 0.0831154 |
| 37 | directDet | := | cDet | 0.0530763 | 0.0171531 | 3.094263 | 0.0019730 | 0.0194568 | 0.0866958 |
| 38 | totalExt | := | cExt+(aGbGExt)+(aBISbBISExt) | 0.0583392 | 0.0145663 | 4.005074 | 0.0000620 | 0.0297898 | 0.0868887 |
| 39 | propCogGExt | := | indirectCogGExt/totalExt | 0.1808205 | 0.0732920 | 2.467123 | 0.0136204 | 0.0371707 | 0.3244702 |
| 40 | propBISExt | := | indirectBISExt/totalExt | 0.0250471 | 0.0192321 | 1.302359 | 0.1927937 | -0.0126471 | 0.0627413 |
| 41 | propSumIndirectExt | := | sumIndirectExt/totalExt | 0.2058676 | 0.0782668 | 2.630332 | 0.0085302 | 0.0524675 | 0.3592676 |
| 42 | totalNDe | := | cNDe+(aGbGNDe)+(aBISbBISNDe) | 0.0459568 | 0.0155702 | 2.951583 | 0.0031615 | 0.0154397 | 0.0764738 |
| 43 | propCogGNDe | := | indirectCogGNDe/totalNDe | 0.3223659 | 0.1425643 | 2.261196 | 0.0237471 | 0.0429450 | 0.6017869 |
| 44 | propBISNDe | := | indirectBISNDe/totalNDe | 0.0475477 | 0.0313040 | 1.518902 | 0.1287872 | -0.0138070 | 0.1089025 |
| 45 | propSumIndirectNDe | := | sumIndirectNDe/totalNDe | 0.3699137 | 0.1541871 | 2.399122 | 0.0164344 | 0.0677125 | 0.6721148 |
| 46 | totalInt | := | cInt+(aGbGInt)+(aBISbBISInt) | 0.0560336 | 0.0160012 | 3.501841 | 0.0004621 | 0.0246719 | 0.0873954 |
| 47 | propCogGInt | := | indirectCogGInt/totalInt | 0.0574659 | 0.0325664 | 1.764576 | 0.0776350 | -0.0063631 | 0.1212950 |
| 48 | propBISInt | := | indirectBISInt/totalInt | 0.1371551 | 0.0722525 | 1.898275 | 0.0576598 | -0.0044572 | 0.2787674 |
| 49 | propSumIndirectInt | := | sumIndirectInt/totalInt | 0.1946210 | 0.0856212 | 2.273046 | 0.0230234 | 0.0268065 | 0.3624356 |
| 50 | totalSom | := | cSom+(aGbGSom)+(aBISbBISSom) | 0.0546648 | 0.0166627 | 3.280661 | 0.0010356 | 0.0220065 | 0.0873232 |
| 51 | propCogGSom | := | indirectCogGSom/totalSom | 0.0564732 | 0.0328865 | 1.717213 | 0.0859402 | -0.0079832 | 0.1209296 |
| 52 | propBISSom | := | indirectBISSom/totalSom | 0.0243962 | 0.0202637 | 1.203936 | 0.2286143 | -0.0153199 | 0.0641122 |
| 53 | propSumIndirectSom | := | sumIndirectSom/totalSom | 0.0808694 | 0.0412343 | 1.961218 | 0.0498536 | 0.0000517 | 0.1616871 |
| 54 | totalDet | := | cDet+(aGbGDet)+(aBISbBISDet) | 0.0579568 | 0.0170553 | 3.398166 | 0.0006784 | 0.0245290 | 0.0913846 |
| 55 | propCogGDet | := | indirectCogGDet/totalDet | 0.0433910 | 0.0290449 | 1.493929 | 0.1351943 | -0.0135359 | 0.1003179 |
| 56 | propBISDet | := | indirectBISDet/totalDet | 0.0408185 | 0.0275787 | 1.480072 | 0.1388539 | -0.0132348 | 0.0948719 |
| 57 | propSumIndirectDet | := | sumIndirectDet/totalDet | 0.0842095 | 0.0430764 | 1.954890 | 0.0505961 | -0.0002186 | 0.1686376 |
MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2_sig <- MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 %>% filter(p.value < 0.05)3.8.1 unstandardised indirect effects for MDD PS
MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 %>%
filter(str_detect(term, 'indirect')) %>%
filter(!str_detect(term, 'prop')) %>%
mutate_if(is.numeric, round, 3) %>%
knitr::kable(format = "html", row.names = TRUE) | term | op | label | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | indirectCogGExt := aG*bGExt | := | indirectCogGExt | 0.004 | 0.002 | 2.826 | 0.005 | 0.010 | 0.011 | 0.010 |
| 2 | indirectBISExt := aBIS*bBISExt | := | indirectBISExt | 0.001 | 0.000 | 1.373 | 0.170 | 0.001 | 0.001 | 0.001 |
| 3 | indirectCogGNDe := aG*bGNDe | := | indirectCogGNDe | 0.004 | 0.001 | 2.852 | 0.004 | 0.015 | 0.015 | 0.015 |
| 4 | indirectBISNDe := aBIS*bBISNDe | := | indirectBISNDe | 0.001 | 0.000 | 1.704 | 0.088 | 0.002 | 0.002 | 0.002 |
| 5 | indirectCogGInt := aG*bGInt | := | indirectCogGInt | 0.001 | 0.001 | 2.024 | 0.043 | 0.003 | 0.003 | 0.003 |
| 6 | indirectBISInt := aBIS*bBISInt | := | indirectBISInt | 0.003 | 0.001 | 2.107 | 0.035 | 0.008 | 0.008 | 0.008 |
| 7 | indirectCogGSom := aG*bGSom | := | indirectCogGSom | 0.000 | 0.000 | 1.977 | 0.048 | 0.003 | 0.003 | 0.003 |
| 8 | indirectBISSom := aBIS*bBISSom | := | indirectBISSom | 0.000 | 0.000 | 1.278 | 0.201 | 0.001 | 0.001 | 0.001 |
| 9 | indirectCogGDet := aG*bGDet | := | indirectCogGDet | 0.000 | 0.000 | 1.609 | 0.108 | 0.003 | 0.003 | 0.003 |
| 10 | indirectBISDet := aBIS*bBISDet | := | indirectBISDet | 0.000 | 0.000 | 1.646 | 0.100 | 0.002 | 0.002 | 0.002 |
3.8.2 standardised indirect effects for MDD PS
MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2Std %>%
filter(str_detect(lhs, 'indirect')) %>%
# mutate(pfdr = p.adjust(pvalue, method="fdr")) %>%
mutate_if(is.numeric, round, 3) %>%
knitr::kable(format = "html", row.names = TRUE) | lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | indirectCogGExt | := | aG*bGExt | 0.011 | 0.004 | 2.831 | 0.005 | 0.003 | 0.018 |
| 2 | indirectBISExt | := | aBIS*bBISExt | 0.001 | 0.001 | 1.374 | 0.169 | -0.001 | 0.004 |
| 3 | indirectCogGNDe | := | aG*bGNDe | 0.015 | 0.005 | 2.887 | 0.004 | 0.005 | 0.025 |
| 4 | indirectBISNDe | := | aBIS*bBISNDe | 0.002 | 0.001 | 1.711 | 0.087 | 0.000 | 0.005 |
| 5 | indirectCogGInt | := | aG*bGInt | 0.003 | 0.002 | 2.028 | 0.043 | 0.000 | 0.006 |
| 6 | indirectBISInt | := | aBIS*bBISInt | 0.008 | 0.004 | 2.112 | 0.035 | 0.001 | 0.015 |
| 7 | indirectCogGSom | := | aG*bGSom | 0.003 | 0.002 | 2.026 | 0.043 | 0.000 | 0.006 |
| 8 | indirectBISSom | := | aBIS*bBISSom | 0.001 | 0.001 | 1.294 | 0.196 | -0.001 | 0.003 |
| 9 | indirectCogGDet | := | aG*bGDet | 0.003 | 0.002 | 1.650 | 0.099 | 0.000 | 0.006 |
| 10 | indirectBISDet | := | aBIS*bBISDet | 0.002 | 0.001 | 1.644 | 0.100 | 0.000 | 0.005 |
3.8.3 fdr for unstandardisd MDD PS
applied to sumIndirect
MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 %>%
filter(str_detect(term, 'sumIndirect')) %>%
filter(!str_detect(term, 'prop')) %>%
mutate(pfdr = p.adjust(p.value, method="fdr")) %>%
mutate_if(is.numeric, round, 3) %>%
knitr::kable(format = "html", row.names = TRUE) | term | op | label | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox | pfdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | sumIndirectExt := (aGbGExt)+(aBISbBISExt) | := | sumIndirectExt | 0.005 | 0.002 | 3.116 | 0.002 | 0.012 | 0.012 | 0.012 | 0.005 |
| 2 | sumIndirectNDe := (aGbGNDe)+(aBISbBISNDe) | := | sumIndirectNDe | 0.004 | 0.001 | 3.179 | 0.001 | 0.017 | 0.017 | 0.017 | 0.005 |
| 3 | sumIndirectInt := (aGbGInt)+(aBISbBISInt) | := | sumIndirectInt | 0.004 | 0.002 | 2.731 | 0.006 | 0.011 | 0.011 | 0.011 | 0.011 |
| 4 | sumIndirectSom := (aGbGSom)+(aBISbBISSom) | := | sumIndirectSom | 0.000 | 0.000 | 2.367 | 0.018 | 0.004 | 0.004 | 0.004 | 0.021 |
| 5 | sumIndirectDet := (aGbGDet)+(aBISbBISDet) | := | sumIndirectDet | 0.001 | 0.000 | 2.310 | 0.021 | 0.005 | 0.005 | 0.005 | 0.021 |
3.8.4 fdr for standardisd MDD PS
applied to sumIndirect
MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2Std %>%
filter(str_detect(lhs, 'sumIndirect')) %>%
mutate(pfdr = p.adjust(pvalue, method="fdr")) %>%
mutate_if(is.numeric, round, 3) %>%
knitr::kable(format = "html", row.names = TRUE) | lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | pfdr | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | sumIndirectExt | := | (aGbGExt)+(aBISbBISExt) | 0.012 | 0.004 | 3.123 | 0.002 | 0.004 | 0.020 | 0.004 |
| 2 | sumIndirectNDe | := | (aGbGNDe)+(aBISbBISNDe) | 0.017 | 0.005 | 3.227 | 0.001 | 0.007 | 0.027 | 0.004 |
| 3 | sumIndirectInt | := | (aGbGInt)+(aBISbBISInt) | 0.011 | 0.004 | 2.744 | 0.006 | 0.003 | 0.019 | 0.010 |
| 4 | sumIndirectSom | := | (aGbGSom)+(aBISbBISSom) | 0.004 | 0.002 | 2.459 | 0.014 | 0.001 | 0.008 | 0.017 |
| 5 | sumIndirectDet | := | (aGbGDet)+(aBISbBISDet) | 0.005 | 0.002 | 2.369 | 0.018 | 0.001 | 0.009 | 0.018 |
3.8.5 fdr for unstandardised MDD PS
applied to prop Sum
MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 %>%
filter(str_detect(term, 'propSum')) %>%
mutate(pfdr = p.adjust(p.value, method="fdr")) %>%
mutate_if(is.numeric, round, 3) %>%
knitr::kable(format = "html", row.names = TRUE) | term | op | label | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox | pfdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | propSumIndirectExt := sumIndirectExt/totalExt | := | propSumIndirectExt | 0.206 | 0.078 | 2.630 | 0.009 | 0.206 | 0.206 | 0.206 | 0.038 |
| 2 | propSumIndirectNDe := sumIndirectNDe/totalNDe | := | propSumIndirectNDe | 0.370 | 0.154 | 2.399 | 0.016 | 0.370 | 0.370 | 0.370 | 0.038 |
| 3 | propSumIndirectInt := sumIndirectInt/totalInt | := | propSumIndirectInt | 0.195 | 0.086 | 2.273 | 0.023 | 0.195 | 0.195 | 0.195 | 0.038 |
| 4 | propSumIndirectSom := sumIndirectSom/totalSom | := | propSumIndirectSom | 0.081 | 0.041 | 1.961 | 0.050 | 0.081 | 0.081 | 0.081 | 0.051 |
| 5 | propSumIndirectDet := sumIndirectDet/totalDet | := | propSumIndirectDet | 0.084 | 0.043 | 1.955 | 0.051 | 0.084 | 0.084 | 0.084 | 0.051 |
3.8.6 fdr for standardised MDD PS
applied to prop Sum
MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2Std %>%
filter(str_detect(lhs, 'propSum')) %>%
mutate(pfdr = p.adjust(pvalue, method="fdr")) %>%
mutate_if(is.numeric, round, 3) %>%
knitr::kable(format = "html", row.names = TRUE) | lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | pfdr | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | propSumIndirectExt | := | sumIndirectExt/totalExt | 0.206 | 0.078 | 2.630 | 0.009 | 0.052 | 0.359 | 0.038 |
| 2 | propSumIndirectNDe | := | sumIndirectNDe/totalNDe | 0.370 | 0.154 | 2.399 | 0.016 | 0.068 | 0.672 | 0.038 |
| 3 | propSumIndirectInt | := | sumIndirectInt/totalInt | 0.195 | 0.086 | 2.273 | 0.023 | 0.027 | 0.362 | 0.038 |
| 4 | propSumIndirectSom | := | sumIndirectSom/totalSom | 0.081 | 0.041 | 1.961 | 0.050 | 0.000 | 0.162 | 0.051 |
| 5 | propSumIndirectDet | := | sumIndirectDet/totalDet | 0.084 | 0.043 | 1.955 | 0.051 | 0.000 | 0.169 | 0.051 |
3.8.7 Plot mediation between MDD PS and specific dimensions of psychopathology with BIS and G-Factor as mediators
s_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 <- add.significance.stars(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2, cutoffs = c(0.05, 0.01, 0.001))
##combine parameter estimate and importance star into a string use p.value column
ax_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 <-gsub(" ","",paste0(round(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2$std.all,3),
s_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[,7]))
E <- matrix(c(
1,3, # Loading
1,4, # Loading
1,5, # Loading
1,6, # Loading
1,7,
4,3,
3,4,
5,3,
3,5,
6,3,
3,6,
7,3,
3,7,
5,4,
4,5,
6,4,
4,6,
7,4,
4,7,
6,5,
5,6,
7,5,
5,7,
7,6,
6,7,
2,3, # Loading
2,4, # Loading
2,5, # Loading
2,6, # Loading
2,7,
2,1,
1,2,
8,1,
8,2,
9,1,
9,2,
9,3,
9,4,
9,5,
9,6,
9,7,
2,13,
2,14,
2,15,
2,16,
9,8,
8,9
),,2,byrow=TRUE)
# aspect <- c(sapply(img, function(x) nrow(x)/ncol(x)),1)
size <- 1*c(rep(10,2),rep(9,5),rep(10,2),rep(23,3),rep(6,4),20)
shape <- c(rep("circle",2),rep("circle",5),rep("rectangle",5),rep("circle",4),"rectangle")
borders = c(rep("TRUE",9),rep("FALSE",3),rep("TRUE",4),"FALSE")
Layout <- matrix(c(
2,9,
2,3,
3,0,
3,3,
3,6,
3,9,
3,12,
1,10,
1,4,
3.8,12,
3.8,6,
3.8,9,
1,0,
1.5,0,
2,0,
2.5,0,
3.8,3
),,2,byrow=TRUE)
eCol <- rep("black",nrow(E))
eCol[35:41]<-"grey"
e.weight <- rep(1, nrow(E))
e.weight[3]<-2
e.weight[29:30] <-2;e.weight[33:34] <-2
e.weight[c(28,27)]<-2
indirect_eff_MDD <- c(paste0("Ind BIS ",round(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2$std.all[48]*100,3) ,"%",
s_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[25,7], "\n",
"Ind G ",round(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2$std.all[47]*100,3) ,"%",
s_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[24,7]),
paste0("Ind G ",round(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2$std.all[43]*100,3) ,"%",
s_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[21,7]),
paste0("Ind G ",round(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2$std.all[39]*100,3) ,"%",
s_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[18,7]),
paste0("Ind G ",round(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2$std.all[51]*100,3) ,"%",
s_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[27,7]))
labels <- list(diag_var_list_BBG[8],
diag_var_list_BBG[10],
diag_var_list_BBG[18],
diag_var_list_BBG[17],
diag_var_list_BBG[16],
diag_var_list_BBG[15],
diag_var_list_BBG[14],
diag_var_list_BBG[11],
diag_var_list_BBG[13],
indirect_eff_MDD[3],
indirect_eff_MDD[1],
indirect_eff_MDD[2],
diag_var_list_BBG[4],
diag_var_list_BBG[5],
diag_var_list_BBG[6],
diag_var_list_BBG[7],
indirect_eff_MDD[4]
)
eLabs <- list(
"",
"",
ax_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[11],
"",
"","","","","","","","","","","","","","","","","","","","","","",
ax_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[12],
ax_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[10],
ax_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[8],
ax_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[6],
"","",
ax_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[17],
ax_MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[16],
"","","","","","","","","","","","",""
)
curve <- rep(0,nrow(E))
curve[6:nrow(E)] <- 1
curve[6:7]<-curve[14:15]<-curve[20:21]<-curve[24:25]<-3
curve[26:nrow(E)]<-0
curve[8:9]<-curve[16:17]<-curve[22:23]<-2;curve[46:47]<-2;curve[31:32]<-1
node.color <- rep("white",12); node.color[1:2]<-"lightblue1"; node.color[3:7]<-"darkseagreen1";node.color[8:9]<-"wheat1";node.color[13:16]<-"lightblue1";node.color[17] <- "white"
loopRot <- c(rep(0,2))
line.type <- rep(1,nrow(E));line.type[1:2]<-3;line.type[4:5]<-3;line.type[26:28]<-3
line.type[c(28,27)]<-1
elabs_position <- rep(0.5,nrow(E));elabs_position[3]<-0.3;elabs_position[29:30]<-0.3;elabs_position[c(4,28,27,1)]<-0.6
qgraph(E,edgelist = TRUE,
vsize = size, shape = shape ,
borders = borders, layout = Layout,
edge.color = eCol, asize = 3, labels = labels,
label.scale.equal = FALSE, bidirectional = TRUE,
mar = c(6,5,9,5), esize = 2, label.cex = 1,
edge.labels = eLabs, edge.label.cex = 1,
bg = "transparent", edge.label.bg = "white",
loopRotation = loopRot, curve = curve, curveAll=TRUE,
width = 8, height = 5,edge.width = e.weight,lty=line.type,color=node.color,edge.label.position=elabs_position)
3.9 Mediation between ADHD PS and specific dimensions of psychopathology with BAS and G-Factor as mediators
Here we tested the extent to which the relationship between MDD PS and the specific dimensions of psychopathology was accounted for by the mediators.
ADHD_BAS_G_Ext_NDe_Int_Som_Mediation <-'
Ext =~ CBCL_Q03_P + CBCL_Q07_P + CBCL_Q109_P + CBCL_Q15_P + CBCL_Q16_P + CBCL_Q19_P + CBCL_Q26_P + CBCL_Q27_P + CBCL_Q34_P + CBCL_Q37_P + CBCL_Q39_P + CBCL_Q43_P + CBCL_Q67_P + CBCL_Q68_P + CBCL_Q72_P + CBCL_Q74_P + CBCL_Q86_P + CBCL_Q87_P + CBCL_Q88_P + CBCL_Q89_P + CBCL_Q90_P + CBCL_Q94_P + CBCL_Q95_P + CBCL_Q96_P + Com1_Attack + Com2_Destroy + Com3_Disobeys + Com4_Steals + Com5_Peer
NDe =~ CBCL_Q01_P + CBCL_Q04_P + CBCL_Q09_P + CBCL_Q13_P + CBCL_Q17_P + CBCL_Q36_P + CBCL_Q46_P + CBCL_Q61_P + CBCL_Q62_P + CBCL_Q64_P + CBCL_Q66_P + CBCL_Q80_P + CBCL_Q85_P + CBCL_Q93_P + Com6_Distracted
Int =~ CBCL_Q112_P + CBCL_Q12_P + CBCL_Q29_P + CBCL_Q30_P + CBCL_Q31_P + CBCL_Q32_P + CBCL_Q35_P + CBCL_Q45_P + CBCL_Q50_P + CBCL_Q52_P + CBCL_Q71_P
Som =~ CBCL_Q51_P + CBCL_Q56A_P + CBCL_Q56B_P + CBCL_Q56C_P + CBCL_Q56D_P + CBCL_Q56E_P + CBCL_Q56F_P + CBCL_Q56G_P + CBCL_Q56H_P
Det =~ CBCL_Q102_P + CBCL_Q111_P + CBCL_Q42_P + CBCL_Q65_P + CBCL_Q75_P
# cog g
EF =~ NIHTBX_FLANKER_UNCORRECTED + NIHTBX_CARDSORT_UNCORRECTED + NIHTBX_PATTERN_UNCORRECTED
verbal =~ NIHTBX_PICVOCAB_UNCORRECTED + NIHTBX_READING_UNCORRECTED
memory =~ NIHTBX_PICTURE_UNCORRECTED + PEA_RAVLT_LD_TRIAL_VII_TC + NIHTBX_LIST_UNCORRECTED
spatial =~ LMT_SCR_PERC_CORRECT + PEA_WISCV_TRS
g =~ NA*EF + verbal + memory + spatial #estimate the loading of EF -> as opposed to using it as a marker
g ~~ 1*g #need to constrain variance to 1
#2nd order latent bas
RR =~ BISBAS8_Y + BISBAS10_Y + BISBAS11_Y + BISBAS12_Y
Drive =~ BISBAS13_Y + BISBAS14_Y + BISBAS15_Y + BISBAS16_Y
Fun =~ BISBAS17_Y + BISBAS18_Y + BISBAS19_Y + BISBAS20_Y
BASg =~ NA*RR + Drive + Fun
BASg ~~ 1*BASg #need to constrain variance to 1
# mediation
# Y ˜ b*M + c*X
# M ˜ a*X
#regression
# direct effect: c
Ext ~ cExt*ADHDp5e_2_score
# Ext ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
Ext ~ pc1 + pc2 + pc3 + pc4 + SEXnum
NDe ~ cNDe*ADHDp5e_2_score
# NDe ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
NDe ~ pc1 + pc2 + pc3 + pc4 + SEXnum
# Int ~ cInt*ADHDp5e_2_score
# Int ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
# Int ~ pc1 + pc2 + pc3 + pc4 + SEXnum
Som ~ cSom*ADHDp5e_2_score
# Som ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
Som ~ pc1 + pc2 + pc3 + pc4 + SEXnum
# outcome model: b
Ext ~ bGExt*g
Ext ~ bBASgExt*BASg
NDe ~ bGNDe*g
NDe ~ bBASgNDe*BASg
# Int ~ bGInt*g
# Int ~ bBASgInt*BASg
Som ~ bGSom*g
Som ~ bBASgSom*BASg
# mediator models: a
g ~ aG*ADHDp5e_2_score
BASg ~ aBASg*ADHDp5e_2_score
# g ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
# BASg ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + SEXnum
g ~ pc1 + pc2 + pc3 + pc4 + SEXnum
BASg ~ pc1 + pc2 + pc3 + pc4 + SEXnum
# indirect effects (IDE)
indirectCogGExt := aG*bGExt
indirectBASExt := aBASg*bBASgExt
sumIndirectExt := (aG*bGExt) + (aBASg*bBASgExt)
indirectCogGNDe := aG*bGNDe
indirectBASNDe := aBASg*bBASgNDe
sumIndirectNDe := (aG*bGNDe) + (aBASg*bBASgNDe)
# indirectCogGInt := aG*bGInt
# indirectBASInt := aBASg*bBASgInt
# sumIndirectInt := (aG*bGInt) + (aBASg*bBASgInt)
indirectCogGSom := aG*bGSom
indirectBASSom := aBASg*bBASgSom
sumIndirectSom := (aG*bGSom) + (aBASg*bBASgSom)
# direct
directExt := cExt
directNDe := cNDe
# directInt := cInt
directSom := cSom
# total effect
totalExt := cExt + (aG*bGExt) + (aBASg*bBASgExt)
propCogGExt := indirectCogGExt/totalExt
propBASExt := indirectBASExt/totalExt
propSumIndirectExt := sumIndirectExt/totalExt
totalNDe := cNDe + (aG*bGNDe) + (aBASg*bBASgNDe)
propCogGNDe := indirectCogGNDe/totalNDe
propBASNDe := indirectBASNDe/totalNDe
propSumIndirectNDe := sumIndirectNDe/totalNDe
# totalInt := cInt + (aG*bGInt) + (aBASg*bBASgInt)
# propCogGInt := indirectCogGInt/totalInt
# propBASInt := indirectBASInt/totalInt
# propSumIndirectInt := sumIndirectInt/totalInt
totalSom := cSom + (aG*bGSom) + (aBASg*bBASgSom)
propCogGSom := indirectCogGSom/totalSom
propBASSom := indirectBASSom/totalSom
propSumIndirectSom := sumIndirectSom/totalSom
# covariation between mediators
g ~~ BASg
'
ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit <- lavaan::cfa(model = ADHD_BAS_G_Ext_NDe_Int_Som_Mediation, data = MostPrsCBCLBISBAS.ScoreScaled, estimator = "MLR")
lavaan::summary(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE, ci = TRUE)## lavaan 0.6-6 ended normally after 537 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 230
##
## Used Total
## Number of observations 4478 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 28632.210 19967.135
## Degrees of freedom 4502 4502
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.434
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 122930.959 85363.607
## Degrees of freedom 4641 4641
## P-value 0.000 0.000
## Scaling correction factor 1.440
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.796 0.808
## Tucker-Lewis Index (TLI) 0.790 0.803
##
## Robust Comparative Fit Index (CFI) 0.809
## Robust Tucker-Lewis Index (TLI) 0.803
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -202988.171 -202988.171
## Scaling correction factor 5.193
## for the MLR correction
## Loglikelihood unrestricted model (H1) -188672.066 -188672.066
## Scaling correction factor 1.617
## for the MLR correction
##
## Akaike (AIC) 406436.342 406436.342
## Bayesian (BIC) 407909.936 407909.936
## Sample-size adjusted Bayesian (BIC) 407179.086 407179.086
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.035 0.028
## 90 Percent confidence interval - lower 0.034 0.027
## 90 Percent confidence interval - upper 0.035 0.028
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.033
## 90 Percent confidence interval - lower 0.033
## 90 Percent confidence interval - upper 0.034
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.073 0.073
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## Ext =~
## CBCL_Q03_P 1.000
## CBCL_Q07_P 0.509 0.025 20.650 0.000
## CBCL_Q109_P 0.583 0.023 24.874 0.000
## CBCL_Q15_P 0.054 0.011 5.143 0.000
## CBCL_Q16_P 0.336 0.022 15.340 0.000
## CBCL_Q19_P 0.693 0.025 27.921 0.000
## CBCL_Q26_P 0.456 0.024 19.260 0.000
## CBCL_Q27_P 0.605 0.025 24.506 0.000
## CBCL_Q34_P 0.240 0.022 11.149 0.000
## CBCL_Q37_P 0.176 0.019 9.253 0.000
## CBCL_Q39_P 0.184 0.018 10.300 0.000
## CBCL_Q43_P 0.606 0.024 25.462 0.000
## CBCL_Q67_P 0.033 0.009 3.497 0.000
## CBCL_Q68_P 0.494 0.023 21.364 0.000
## CBCL_Q72_P 0.023 0.006 3.670 0.000
## CBCL_Q74_P 0.568 0.026 21.536 0.000
## CBCL_Q86_P 0.843 0.022 38.744 0.000
## CBCL_Q87_P 0.651 0.025 26.177 0.000
## CBCL_Q88_P 0.477 0.025 19.371 0.000
## CBCL_Q89_P 0.166 0.020 8.399 0.000
## CBCL_Q90_P 0.267 0.023 11.352 0.000
## CBCL_Q94_P 0.322 0.023 14.114 0.000
## CBCL_Q95_P 0.815 0.022 36.350 0.000
## CBCL_Q96_P 0.041 0.012 3.383 0.001
## Com1_Attack 0.324 0.021 15.511 0.000
## Com2_Destroy 0.244 0.020 12.430 0.000
## Com3_Disobeys 0.685 0.019 35.615 0.000
## Com4_Steals 0.212 0.019 11.177 0.000
## Com5_Peer 0.449 0.022 20.792 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.489 0.067 22.180 0.000
## CBCL_Q09_P 1.283 0.061 20.860 0.000
## CBCL_Q13_P 0.450 0.038 11.984 0.000
## CBCL_Q17_P 1.120 0.061 18.208 0.000
## CBCL_Q36_P 0.637 0.043 14.982 0.000
## CBCL_Q46_P 0.639 0.046 13.911 0.000
## CBCL_Q61_P 0.803 0.043 18.658 0.000
## CBCL_Q62_P 0.715 0.042 17.204 0.000
## CBCL_Q64_P 0.709 0.040 17.914 0.000
## CBCL_Q66_P 0.483 0.040 11.971 0.000
## CBCL_Q80_P 0.585 0.042 14.030 0.000
## CBCL_Q85_P 0.419 0.033 12.705 0.000
## CBCL_Q93_P 1.000 0.055 18.045 0.000
## Com6_Distractd 1.763 0.075 23.621 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.363 0.025 14.578 0.000
## CBCL_Q29_P 0.536 0.026 20.866 0.000
## CBCL_Q30_P 0.204 0.021 9.754 0.000
## CBCL_Q31_P 0.350 0.024 14.358 0.000
## CBCL_Q32_P 0.674 0.029 23.595 0.000
## CBCL_Q35_P 0.517 0.027 19.335 0.000
## CBCL_Q45_P 0.721 0.025 28.800 0.000
## CBCL_Q50_P 0.891 0.022 40.813 0.000
## CBCL_Q52_P 0.358 0.025 14.510 0.000
## CBCL_Q71_P 0.840 0.028 30.155 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.897 0.329 8.796 0.000
## CBCL_Q56B_P 3.843 0.409 9.395 0.000
## CBCL_Q56C_P 4.242 0.485 8.754 0.000
## CBCL_Q56D_P 0.554 0.104 5.316 0.000
## CBCL_Q56E_P 1.506 0.218 6.905 0.000
## CBCL_Q56F_P 5.073 0.568 8.940 0.000
## CBCL_Q56G_P 1.148 0.168 6.844 0.000
## CBCL_Q56H_P 0.697 0.138 5.044 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.317 0.094 14.026 0.000
## CBCL_Q42_P 1.834 0.153 11.974 0.000
## CBCL_Q65_P 1.008 0.113 8.956 0.000
## CBCL_Q75_P 1.845 0.184 10.036 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.210 0.047 25.492 0.000
## NIHTBX_PATTERN 1.003 0.043 23.595 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.067 0.038 27.854 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.055 0.038 27.596 0.000
## NIHTBX_LIST_UN 1.147 0.054 21.103 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.160 0.051 22.783 0.000
## g =~
## EF 0.357 0.017 21.175 0.000
## verbal 0.515 0.017 29.520 0.000
## memory 0.455 0.015 29.478 0.000
## spatial 0.473 0.016 28.674 0.000
## RR =~
## BISBAS8_Y 1.000
## BISBAS10_Y 0.982 0.028 35.687 0.000
## BISBAS11_Y 0.832 0.031 26.550 0.000
## BISBAS12_Y 1.117 0.030 36.916 0.000
## Drive =~
## BISBAS13_Y 1.000
## BISBAS14_Y 1.076 0.023 46.767 0.000
## BISBAS15_Y 1.014 0.027 37.557 0.000
## BISBAS16_Y 0.808 0.030 27.002 0.000
## Fun =~
## BISBAS17_Y 1.000
## BISBAS18_Y 1.120 0.043 25.876 0.000
## BISBAS19_Y 0.966 0.041 23.567 0.000
## BISBAS20_Y 0.971 0.035 27.539 0.000
## BASg =~
## RR 0.530 0.015 34.765 0.000
## Drive 0.547 0.015 35.456 0.000
## Fun 0.451 0.017 26.387 0.000
## ci.lower ci.upper Std.lv Std.all
##
## 1.000 1.000 0.430 0.663
## 0.461 0.557 0.219 0.439
## 0.537 0.629 0.251 0.484
## 0.034 0.075 0.023 0.242
## 0.293 0.379 0.144 0.520
## 0.645 0.742 0.298 0.578
## 0.409 0.502 0.196 0.533
## 0.557 0.653 0.260 0.546
## 0.198 0.283 0.103 0.410
## 0.138 0.213 0.076 0.434
## 0.149 0.219 0.079 0.308
## 0.560 0.653 0.261 0.569
## 0.015 0.052 0.014 0.218
## 0.449 0.540 0.213 0.584
## 0.011 0.035 0.010 0.134
## 0.516 0.619 0.244 0.458
## 0.800 0.886 0.363 0.644
## 0.602 0.700 0.280 0.607
## 0.429 0.525 0.205 0.529
## 0.127 0.204 0.071 0.381
## 0.221 0.313 0.115 0.402
## 0.278 0.367 0.139 0.432
## 0.771 0.859 0.351 0.651
## 0.017 0.065 0.018 0.192
## 0.283 0.365 0.139 0.529
## 0.205 0.282 0.105 0.485
## 0.648 0.723 0.295 0.661
## 0.175 0.250 0.091 0.430
## 0.407 0.491 0.193 0.533
##
## 1.000 1.000 0.256 0.539
## 1.358 1.621 0.381 0.630
## 1.162 1.403 0.328 0.588
## 0.376 0.523 0.115 0.456
## 0.999 1.240 0.287 0.528
## 0.554 0.721 0.163 0.385
## 0.549 0.729 0.164 0.434
## 0.719 0.888 0.206 0.547
## 0.633 0.796 0.183 0.479
## 0.631 0.786 0.181 0.429
## 0.404 0.563 0.124 0.432
## 0.503 0.667 0.150 0.502
## 0.355 0.484 0.107 0.425
## 0.892 1.109 0.256 0.467
## 1.617 1.909 0.451 0.731
##
## 1.000 1.000 0.415 0.703
## 0.314 0.412 0.150 0.404
## 0.485 0.586 0.222 0.500
## 0.163 0.245 0.085 0.368
## 0.302 0.398 0.145 0.465
## 0.618 0.730 0.280 0.494
## 0.465 0.570 0.215 0.544
## 0.672 0.770 0.299 0.623
## 0.849 0.934 0.370 0.727
## 0.310 0.406 0.149 0.502
## 0.786 0.895 0.349 0.565
##
## 1.000 1.000 0.063 0.299
## 2.252 3.543 0.182 0.427
## 3.042 4.645 0.241 0.481
## 3.292 5.192 0.266 0.699
## 0.350 0.758 0.035 0.173
## 1.078 1.933 0.094 0.232
## 3.961 6.186 0.318 0.661
## 0.819 1.477 0.072 0.350
## 0.426 0.968 0.044 0.248
##
## 1.000 1.000 0.129 0.456
## 1.133 1.501 0.170 0.633
## 1.534 2.135 0.237 0.558
## 0.788 1.229 0.130 0.448
## 1.485 2.206 0.238 0.519
##
## 1.000 1.000 0.595 0.598
## 1.117 1.303 0.720 0.724
## 0.920 1.086 0.597 0.598
##
## 1.000 1.000 0.685 0.683
## 0.992 1.142 0.731 0.731
##
## 1.000 1.000 0.537 0.538
## 0.980 1.130 0.567 0.566
## 1.040 1.254 0.616 0.615
##
## 1.000 1.000 0.495 0.496
## 1.060 1.260 0.574 0.573
##
## 0.324 0.390 0.607 0.607
## 0.481 0.550 0.762 0.762
## 0.425 0.486 0.858 0.858
## 0.440 0.505 0.967 0.967
##
## 1.000 1.000 0.645 0.647
## 0.928 1.036 0.634 0.636
## 0.770 0.893 0.537 0.536
## 1.058 1.176 0.721 0.724
##
## 1.000 1.000 0.709 0.708
## 1.030 1.121 0.763 0.764
## 0.962 1.067 0.719 0.719
## 0.749 0.867 0.573 0.576
##
## 1.000 1.000 0.582 0.581
## 1.035 1.205 0.651 0.653
## 0.886 1.047 0.562 0.564
## 0.902 1.040 0.565 0.564
##
## 0.500 0.559 0.832 0.832
## 0.517 0.578 0.782 0.782
## 0.417 0.484 0.785 0.785
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## Ext ~
## ADHD5_ (cExt) 0.031 0.006 4.759 0.000
## pc1 -0.164 1.867 -0.088 0.930
## pc2 2.527 9.866 0.256 0.798
## pc3 0.350 0.513 0.681 0.496
## pc4 25.279 11.913 2.122 0.034
## SEXnum -0.080 0.013 -6.108 0.000
## NDe ~
## ADHD5_ (cNDe) 0.015 0.004 3.832 0.000
## pc1 -0.296 0.930 -0.318 0.751
## pc2 1.038 4.903 0.212 0.832
## pc3 -0.037 0.254 -0.144 0.885
## pc4 -0.318 6.143 -0.052 0.959
## SEXnum -0.063 0.009 -7.229 0.000
## Som ~
## ADHD5_ (cSom) 0.002 0.001 1.757 0.079
## pc1 -0.106 0.246 -0.431 0.666
## pc2 0.737 1.266 0.582 0.561
## pc3 0.169 0.067 2.522 0.012
## pc4 -0.888 1.713 -0.519 0.604
## SEXnum 0.008 0.002 3.275 0.001
## Ext ~
## g (bGEx) -0.070 0.009 -7.743 0.000
## BASg (bBASE) 0.053 0.009 6.206 0.000
## NDe ~
## g (bGND) -0.063 0.006 -10.104 0.000
## BASg (bBASN) 0.025 0.005 4.740 0.000
## Som ~
## g (bGSm) -0.003 0.001 -2.552 0.011
## BASg (bBASS) 0.000 0.001 0.191 0.849
## g ~
## ADHD5_ (aG) -0.102 0.018 -5.674 0.000
## BASg ~
## ADHD5_ (aBAS) 0.069 0.018 3.946 0.000
## g ~
## pc1 10.129 4.896 2.069 0.039
## pc2 -5.778 27.637 -0.209 0.834
## pc3 -2.122 1.389 -1.527 0.127
## pc4 -5.884 28.891 -0.204 0.839
## SEXnum 0.045 0.037 1.208 0.227
## BASg ~
## pc1 -1.012 4.356 -0.232 0.816
## pc2 8.477 22.485 0.377 0.706
## pc3 3.684 1.085 3.397 0.001
## pc4 -16.961 27.448 -0.618 0.537
## SEXnum -0.290 0.036 -8.037 0.000
## ci.lower ci.upper Std.lv Std.all
##
## 0.018 0.043 0.071 0.071
## -3.824 3.495 -0.382 -0.005
## -16.810 21.864 5.876 0.014
## -0.656 1.356 0.813 0.009
## 1.929 48.628 58.783 0.040
## -0.106 -0.054 -0.186 -0.093
##
## 0.007 0.023 0.060 0.059
## -2.119 1.528 -1.155 -0.015
## -8.570 10.647 4.055 0.010
## -0.535 0.462 -0.143 -0.002
## -12.358 11.722 -1.241 -0.001
## -0.080 -0.046 -0.246 -0.123
##
## -0.000 0.004 0.031 0.031
## -0.589 0.377 -1.695 -0.021
## -1.746 3.219 11.754 0.028
## 0.038 0.300 2.696 0.029
## -4.245 2.469 -14.175 -0.010
## 0.003 0.013 0.127 0.063
##
## -0.088 -0.053 -0.166 -0.166
## 0.036 0.070 0.125 0.125
##
## -0.076 -0.051 -0.250 -0.250
## 0.015 0.036 0.100 0.100
##
## -0.006 -0.001 -0.056 -0.056
## -0.002 0.003 0.004 0.004
##
## -0.137 -0.067 -0.101 -0.100
##
## 0.035 0.104 0.069 0.068
##
## 0.533 19.725 10.008 0.126
## -59.946 48.390 -5.709 -0.014
## -4.844 0.601 -2.096 -0.022
## -62.510 50.741 -5.814 -0.004
## -0.028 0.117 0.044 0.022
##
## -9.550 7.525 -0.999 -0.013
## -35.592 52.547 8.364 0.020
## 1.559 5.810 3.635 0.039
## -70.758 36.836 -16.733 -0.011
## -0.361 -0.219 -0.286 -0.143
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .g ~~
## .BASg -0.179 0.022 -8.178 0.000
## Int ~~
## Det 0.033 0.003 10.517 0.000
## .Ext ~~
## .NDe 0.068 0.004 17.272 0.000
## .Som 0.010 0.001 7.703 0.000
## .NDe ~~
## .Som 0.006 0.001 6.981 0.000
## ci.lower ci.upper Std.lv Std.all
##
## -0.222 -0.136 -0.179 -0.179
##
## 0.027 0.039 0.618 0.618
##
## 0.060 0.076 0.680 0.680
## 0.007 0.012 0.381 0.381
##
## 0.005 0.008 0.420 0.420
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .g 1.000
## .BASg 1.000
## .CBCL_Q03_P 0.235 0.006 37.143 0.000
## .CBCL_Q07_P 0.200 0.005 38.730 0.000
## .CBCL_Q109_P 0.205 0.005 39.874 0.000
## .CBCL_Q15_P 0.009 0.002 5.431 0.000
## .CBCL_Q16_P 0.056 0.003 20.733 0.000
## .CBCL_Q19_P 0.178 0.006 29.561 0.000
## .CBCL_Q26_P 0.097 0.004 21.600 0.000
## .CBCL_Q27_P 0.160 0.005 30.323 0.000
## .CBCL_Q34_P 0.053 0.003 15.357 0.000
## .CBCL_Q37_P 0.025 0.002 12.120 0.000
## .CBCL_Q39_P 0.060 0.003 17.215 0.000
## .CBCL_Q43_P 0.142 0.004 33.242 0.000
## .CBCL_Q67_P 0.004 0.001 3.529 0.000
## .CBCL_Q68_P 0.087 0.004 21.958 0.000
## .CBCL_Q72_P 0.005 0.001 4.053 0.000
## .CBCL_Q74_P 0.224 0.006 36.083 0.000
## .CBCL_Q86_P 0.185 0.005 37.147 0.000
## .CBCL_Q87_P 0.135 0.005 29.685 0.000
## .CBCL_Q88_P 0.108 0.004 25.924 0.000
## .CBCL_Q89_P 0.030 0.003 10.302 0.000
## .CBCL_Q90_P 0.068 0.004 15.643 0.000
## .CBCL_Q94_P 0.084 0.004 22.543 0.000
## .CBCL_Q95_P 0.167 0.005 33.324 0.000
## .CBCL_Q96_P 0.008 0.002 4.744 0.000
## .Com1_Attack 0.050 0.002 20.757 0.000
## .Com2_Destroy 0.036 0.002 16.922 0.000
## .Com3_Disobeys 0.112 0.003 32.346 0.000
## .Com4_Steals 0.037 0.002 16.124 0.000
## .Com5_Peer 0.094 0.004 24.968 0.000
## .CBCL_Q01_P 0.160 0.005 30.366 0.000
## .CBCL_Q04_P 0.221 0.006 36.569 0.000
## .CBCL_Q09_P 0.204 0.006 33.534 0.000
## .CBCL_Q13_P 0.051 0.003 14.985 0.000
## .CBCL_Q17_P 0.213 0.006 34.531 0.000
## .CBCL_Q36_P 0.153 0.006 25.807 0.000
## .CBCL_Q46_P 0.115 0.005 20.987 0.000
## .CBCL_Q61_P 0.099 0.004 22.330 0.000
## .CBCL_Q62_P 0.112 0.005 22.190 0.000
## .CBCL_Q64_P 0.146 0.005 27.195 0.000
## .CBCL_Q66_P 0.067 0.004 15.555 0.000
## .CBCL_Q80_P 0.066 0.003 19.760 0.000
## .CBCL_Q85_P 0.052 0.003 16.910 0.000
## .CBCL_Q93_P 0.235 0.007 34.682 0.000
## .Com6_Distractd 0.178 0.006 29.872 0.000
## .CBCL_Q112_P 0.176 0.005 32.743 0.000
## .CBCL_Q12_P 0.116 0.005 22.007 0.000
## .CBCL_Q29_P 0.148 0.005 29.213 0.000
## .CBCL_Q30_P 0.046 0.003 13.173 0.000
## .CBCL_Q31_P 0.076 0.004 20.729 0.000
## .CBCL_Q32_P 0.243 0.007 36.473 0.000
## .CBCL_Q35_P 0.110 0.004 26.391 0.000
## .CBCL_Q45_P 0.141 0.005 27.483 0.000
## .CBCL_Q50_P 0.122 0.005 26.507 0.000
## .CBCL_Q52_P 0.066 0.003 19.697 0.000
## .CBCL_Q71_P 0.259 0.006 41.764 0.000
## .CBCL_Q51_P 0.040 0.003 12.979 0.000
## .CBCL_Q56A_P 0.148 0.005 28.188 0.000
## .CBCL_Q56B_P 0.193 0.006 31.836 0.000
## .CBCL_Q56C_P 0.074 0.004 20.682 0.000
## .CBCL_Q56D_P 0.039 0.004 9.353 0.000
## .CBCL_Q56E_P 0.157 0.007 24.102 0.000
## .CBCL_Q56F_P 0.130 0.006 21.425 0.000
## .CBCL_Q56G_P 0.037 0.002 14.833 0.000
## .CBCL_Q56H_P 0.029 0.003 9.045 0.000
## .CBCL_Q102_P 0.063 0.004 15.855 0.000
## .CBCL_Q111_P 0.043 0.003 16.941 0.000
## .CBCL_Q42_P 0.124 0.005 23.985 0.000
## .CBCL_Q65_P 0.067 0.004 16.963 0.000
## .CBCL_Q75_P 0.154 0.006 25.654 0.000
## .NIHTBX_FLANKER 0.635 0.021 30.134 0.000
## .NIHTBX_CARDSOR 0.472 0.023 20.480 0.000
## .NIHTBX_PATTERN 0.639 0.021 31.165 0.000
## .NIHTBX_PICVOCA 0.537 0.022 24.640 0.000
## .NIHTBX_READING 0.466 0.023 20.646 0.000
## .NIHTBX_PICTURE 0.710 0.019 37.384 0.000
## .PEA_RAVLT_LD_T 0.681 0.021 32.824 0.000
## .NIHTBX_LIST_UN 0.625 0.022 28.382 0.000
## .LMT_SCR_PERC_C 0.751 0.020 36.881 0.000
## .PEA_WISCV_TRS 0.674 0.023 29.735 0.000
## .BISBAS8_Y 0.579 0.018 32.463 0.000
## .BISBAS10_Y 0.590 0.018 32.813 0.000
## .BISBAS11_Y 0.714 0.022 32.908 0.000
## .BISBAS12_Y 0.473 0.016 28.668 0.000
## .BISBAS13_Y 0.502 0.016 30.833 0.000
## .BISBAS14_Y 0.416 0.015 27.240 0.000
## .BISBAS15_Y 0.483 0.015 32.195 0.000
## .BISBAS16_Y 0.663 0.021 30.873 0.000
## .BISBAS17_Y 0.666 0.018 37.891 0.000
## .BISBAS18_Y 0.570 0.019 30.400 0.000
## .BISBAS19_Y 0.676 0.018 37.238 0.000
## .BISBAS20_Y 0.684 0.019 36.558 0.000
## .Ext 0.172 0.007 23.642 0.000
## .NDe 0.058 0.005 12.316 0.000
## Int 0.172 0.008 22.065 0.000
## .Som 0.004 0.001 4.670 0.000
## Det 0.017 0.003 6.045 0.000
## .EF 0.223 0.015 14.692 0.000
## .verbal 0.197 0.015 12.728 0.000
## .memory 0.076 0.011 6.663 0.000
## .spatial 0.016 0.012 1.350 0.177
## .RR 0.128 0.012 10.665 0.000
## .Drive 0.195 0.015 13.313 0.000
## .Fun 0.130 0.011 11.820 0.000
## ci.lower ci.upper Std.lv Std.all
## 1.000 1.000 0.976 0.976
## 1.000 1.000 0.973 0.973
## 0.223 0.248 0.235 0.560
## 0.190 0.210 0.200 0.807
## 0.195 0.215 0.205 0.766
## 0.006 0.012 0.009 0.941
## 0.051 0.061 0.056 0.729
## 0.166 0.189 0.178 0.666
## 0.088 0.106 0.097 0.716
## 0.149 0.170 0.160 0.702
## 0.046 0.060 0.053 0.832
## 0.021 0.028 0.025 0.811
## 0.053 0.067 0.060 0.905
## 0.134 0.150 0.142 0.676
## 0.002 0.006 0.004 0.952
## 0.079 0.095 0.087 0.659
## 0.003 0.008 0.005 0.982
## 0.212 0.236 0.224 0.790
## 0.175 0.195 0.185 0.585
## 0.126 0.143 0.135 0.632
## 0.100 0.116 0.108 0.720
## 0.024 0.036 0.030 0.855
## 0.060 0.077 0.068 0.839
## 0.076 0.091 0.084 0.813
## 0.157 0.176 0.167 0.576
## 0.005 0.012 0.008 0.963
## 0.045 0.055 0.050 0.720
## 0.032 0.040 0.036 0.765
## 0.105 0.119 0.112 0.563
## 0.032 0.041 0.037 0.815
## 0.087 0.101 0.094 0.716
## 0.150 0.171 0.160 0.710
## 0.209 0.232 0.221 0.603
## 0.192 0.216 0.204 0.654
## 0.044 0.057 0.051 0.792
## 0.201 0.225 0.213 0.721
## 0.142 0.165 0.153 0.852
## 0.104 0.126 0.115 0.811
## 0.090 0.108 0.099 0.701
## 0.103 0.122 0.112 0.771
## 0.135 0.156 0.146 0.816
## 0.058 0.075 0.067 0.814
## 0.060 0.073 0.066 0.748
## 0.046 0.059 0.052 0.820
## 0.222 0.248 0.235 0.782
## 0.166 0.189 0.178 0.466
## 0.165 0.186 0.176 0.506
## 0.106 0.127 0.116 0.837
## 0.139 0.158 0.148 0.750
## 0.039 0.052 0.046 0.865
## 0.069 0.084 0.076 0.783
## 0.229 0.256 0.243 0.756
## 0.102 0.118 0.110 0.704
## 0.131 0.152 0.141 0.612
## 0.113 0.131 0.122 0.471
## 0.059 0.072 0.066 0.748
## 0.247 0.271 0.259 0.680
## 0.034 0.046 0.040 0.911
## 0.138 0.158 0.148 0.818
## 0.181 0.205 0.193 0.769
## 0.067 0.081 0.074 0.511
## 0.031 0.047 0.039 0.970
## 0.144 0.170 0.157 0.946
## 0.118 0.142 0.130 0.563
## 0.032 0.042 0.037 0.877
## 0.023 0.035 0.029 0.939
## 0.056 0.071 0.063 0.792
## 0.038 0.048 0.043 0.600
## 0.114 0.134 0.124 0.689
## 0.060 0.075 0.067 0.800
## 0.142 0.166 0.154 0.731
## 0.594 0.676 0.635 0.642
## 0.427 0.517 0.472 0.476
## 0.599 0.679 0.639 0.642
## 0.495 0.580 0.537 0.534
## 0.422 0.510 0.466 0.466
## 0.673 0.747 0.710 0.711
## 0.640 0.721 0.681 0.679
## 0.582 0.668 0.625 0.622
## 0.711 0.791 0.751 0.754
## 0.630 0.718 0.674 0.672
## 0.544 0.614 0.579 0.581
## 0.555 0.625 0.590 0.595
## 0.671 0.756 0.714 0.712
## 0.441 0.505 0.473 0.476
## 0.470 0.533 0.502 0.499
## 0.386 0.446 0.416 0.417
## 0.454 0.512 0.483 0.483
## 0.621 0.705 0.663 0.669
## 0.631 0.700 0.666 0.663
## 0.533 0.607 0.570 0.573
## 0.641 0.712 0.676 0.682
## 0.647 0.721 0.684 0.682
## 0.157 0.186 0.927 0.927
## 0.049 0.068 0.891 0.891
## 0.157 0.187 1.000 1.000
## 0.002 0.006 0.990 0.990
## 0.011 0.022 1.000 1.000
## 0.194 0.253 0.631 0.631
## 0.166 0.227 0.420 0.420
## 0.054 0.098 0.264 0.264
## -0.007 0.039 0.064 0.064
## 0.105 0.152 0.308 0.308
## 0.166 0.224 0.388 0.388
## 0.108 0.151 0.384 0.384
##
## R-Square:
## Estimate
## g 0.024
## BASg 0.027
## CBCL_Q03_P 0.440
## CBCL_Q07_P 0.193
## CBCL_Q109_P 0.234
## CBCL_Q15_P 0.059
## CBCL_Q16_P 0.271
## CBCL_Q19_P 0.334
## CBCL_Q26_P 0.284
## CBCL_Q27_P 0.298
## CBCL_Q34_P 0.168
## CBCL_Q37_P 0.189
## CBCL_Q39_P 0.095
## CBCL_Q43_P 0.324
## CBCL_Q67_P 0.048
## CBCL_Q68_P 0.341
## CBCL_Q72_P 0.018
## CBCL_Q74_P 0.210
## CBCL_Q86_P 0.415
## CBCL_Q87_P 0.368
## CBCL_Q88_P 0.280
## CBCL_Q89_P 0.145
## CBCL_Q90_P 0.161
## CBCL_Q94_P 0.187
## CBCL_Q95_P 0.424
## CBCL_Q96_P 0.037
## Com1_Attack 0.280
## Com2_Destroy 0.235
## Com3_Disobeys 0.437
## Com4_Steals 0.185
## Com5_Peer 0.284
## CBCL_Q01_P 0.290
## CBCL_Q04_P 0.397
## CBCL_Q09_P 0.346
## CBCL_Q13_P 0.208
## CBCL_Q17_P 0.279
## CBCL_Q36_P 0.148
## CBCL_Q46_P 0.189
## CBCL_Q61_P 0.299
## CBCL_Q62_P 0.229
## CBCL_Q64_P 0.184
## CBCL_Q66_P 0.186
## CBCL_Q80_P 0.252
## CBCL_Q85_P 0.180
## CBCL_Q93_P 0.218
## Com6_Distractd 0.534
## CBCL_Q112_P 0.494
## CBCL_Q12_P 0.163
## CBCL_Q29_P 0.250
## CBCL_Q30_P 0.135
## CBCL_Q31_P 0.217
## CBCL_Q32_P 0.244
## CBCL_Q35_P 0.296
## CBCL_Q45_P 0.388
## CBCL_Q50_P 0.529
## CBCL_Q52_P 0.252
## CBCL_Q71_P 0.320
## CBCL_Q51_P 0.089
## CBCL_Q56A_P 0.182
## CBCL_Q56B_P 0.231
## CBCL_Q56C_P 0.489
## CBCL_Q56D_P 0.030
## CBCL_Q56E_P 0.054
## CBCL_Q56F_P 0.437
## CBCL_Q56G_P 0.123
## CBCL_Q56H_P 0.061
## CBCL_Q102_P 0.208
## CBCL_Q111_P 0.400
## CBCL_Q42_P 0.311
## CBCL_Q65_P 0.200
## CBCL_Q75_P 0.269
## NIHTBX_FLANKER 0.358
## NIHTBX_CARDSOR 0.524
## NIHTBX_PATTERN 0.358
## NIHTBX_PICVOCA 0.466
## NIHTBX_READING 0.534
## NIHTBX_PICTURE 0.289
## PEA_RAVLT_LD_T 0.321
## NIHTBX_LIST_UN 0.378
## LMT_SCR_PERC_C 0.246
## PEA_WISCV_TRS 0.328
## BISBAS8_Y 0.419
## BISBAS10_Y 0.405
## BISBAS11_Y 0.288
## BISBAS12_Y 0.524
## BISBAS13_Y 0.501
## BISBAS14_Y 0.583
## BISBAS15_Y 0.517
## BISBAS16_Y 0.331
## BISBAS17_Y 0.337
## BISBAS18_Y 0.427
## BISBAS19_Y 0.318
## BISBAS20_Y 0.318
## Ext 0.073
## NDe 0.109
## Som 0.010
## EF 0.369
## verbal 0.580
## memory 0.736
## spatial 0.936
## RR 0.692
## Drive 0.612
## Fun 0.616
##
## Defined Parameters:
## Estimate Std.Err z-value P(>|z|)
## indirectCgGExt 0.007 0.002 4.573 0.000
## indirectBASExt 0.004 0.001 3.390 0.001
## sumIndirectExt 0.011 0.002 5.700 0.000
## indirectCogGND 0.006 0.001 4.940 0.000
## indirectBASNDe 0.002 0.001 3.041 0.002
## sumIndirectNDe 0.008 0.001 5.614 0.000
## indirectCogGSm 0.000 0.000 2.288 0.022
## indirectBASSom 0.000 0.000 0.191 0.849
## sumIndirectSom 0.000 0.000 2.283 0.022
## directExt 0.031 0.006 4.759 0.000
## directNDe 0.015 0.004 3.832 0.000
## directSom 0.002 0.001 1.757 0.079
## totalExt 0.042 0.007 6.367 0.000
## propCogGExt 0.173 0.043 4.033 0.000
## propBASExt 0.088 0.028 3.117 0.002
## prpSmIndrctExt 0.261 0.056 4.703 0.000
## totalNDe 0.023 0.004 5.816 0.000
## propCogGNDe 0.275 0.066 4.181 0.000
## propBASNDe 0.075 0.026 2.837 0.005
## propSmIndrctND 0.350 0.077 4.568 0.000
## totalSom 0.002 0.001 2.113 0.035
## propCogGSom 0.152 0.096 1.591 0.112
## propBASSom 0.008 0.041 0.189 0.850
## propSmIndrctSm 0.160 0.103 1.556 0.120
## ci.lower ci.upper Std.lv Std.all
## 0.004 0.010 0.017 0.017
## 0.002 0.006 0.009 0.008
## 0.007 0.015 0.025 0.025
## 0.004 0.009 0.025 0.025
## 0.001 0.003 0.007 0.007
## 0.005 0.011 0.032 0.032
## 0.000 0.001 0.006 0.006
## -0.000 0.000 0.000 0.000
## 0.000 0.001 0.006 0.006
## 0.018 0.043 0.071 0.071
## 0.007 0.023 0.060 0.059
## -0.000 0.004 0.031 0.031
## 0.029 0.054 0.097 0.096
## 0.089 0.257 0.173 0.173
## 0.033 0.144 0.088 0.088
## 0.152 0.370 0.261 0.261
## 0.016 0.031 0.092 0.091
## 0.146 0.404 0.275 0.275
## 0.023 0.126 0.075 0.075
## 0.200 0.500 0.350 0.350
## 0.000 0.004 0.037 0.037
## -0.035 0.340 0.152 0.152
## -0.073 0.089 0.008 0.008
## -0.042 0.362 0.160 0.160model_fit <- lavaan::summary(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit, standardized = TRUE, rsquare = TRUE, fit.measures = TRUE)## lavaan 0.6-6 ended normally after 537 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 230
##
## Used Total
## Number of observations 4478 4814
##
## Model Test User Model:
## Standard Robust
## Test Statistic 28632.210 19967.135
## Degrees of freedom 4502 4502
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.434
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 122930.959 85363.607
## Degrees of freedom 4641 4641
## P-value 0.000 0.000
## Scaling correction factor 1.440
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.796 0.808
## Tucker-Lewis Index (TLI) 0.790 0.803
##
## Robust Comparative Fit Index (CFI) 0.809
## Robust Tucker-Lewis Index (TLI) 0.803
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -202988.171 -202988.171
## Scaling correction factor 5.193
## for the MLR correction
## Loglikelihood unrestricted model (H1) -188672.066 -188672.066
## Scaling correction factor 1.617
## for the MLR correction
##
## Akaike (AIC) 406436.342 406436.342
## Bayesian (BIC) 407909.936 407909.936
## Sample-size adjusted Bayesian (BIC) 407179.086 407179.086
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.035 0.028
## 90 Percent confidence interval - lower 0.034 0.027
## 90 Percent confidence interval - upper 0.035 0.028
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.033
## 90 Percent confidence interval - lower 0.033
## 90 Percent confidence interval - upper 0.034
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.073 0.073
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|)
## Ext =~
## CBCL_Q03_P 1.000
## CBCL_Q07_P 0.509 0.025 20.650 0.000
## CBCL_Q109_P 0.583 0.023 24.874 0.000
## CBCL_Q15_P 0.054 0.011 5.143 0.000
## CBCL_Q16_P 0.336 0.022 15.340 0.000
## CBCL_Q19_P 0.693 0.025 27.921 0.000
## CBCL_Q26_P 0.456 0.024 19.260 0.000
## CBCL_Q27_P 0.605 0.025 24.506 0.000
## CBCL_Q34_P 0.240 0.022 11.149 0.000
## CBCL_Q37_P 0.176 0.019 9.253 0.000
## CBCL_Q39_P 0.184 0.018 10.300 0.000
## CBCL_Q43_P 0.606 0.024 25.462 0.000
## CBCL_Q67_P 0.033 0.009 3.497 0.000
## CBCL_Q68_P 0.494 0.023 21.364 0.000
## CBCL_Q72_P 0.023 0.006 3.670 0.000
## CBCL_Q74_P 0.568 0.026 21.536 0.000
## CBCL_Q86_P 0.843 0.022 38.744 0.000
## CBCL_Q87_P 0.651 0.025 26.177 0.000
## CBCL_Q88_P 0.477 0.025 19.371 0.000
## CBCL_Q89_P 0.166 0.020 8.399 0.000
## CBCL_Q90_P 0.267 0.023 11.352 0.000
## CBCL_Q94_P 0.322 0.023 14.114 0.000
## CBCL_Q95_P 0.815 0.022 36.350 0.000
## CBCL_Q96_P 0.041 0.012 3.383 0.001
## Com1_Attack 0.324 0.021 15.511 0.000
## Com2_Destroy 0.244 0.020 12.430 0.000
## Com3_Disobeys 0.685 0.019 35.615 0.000
## Com4_Steals 0.212 0.019 11.177 0.000
## Com5_Peer 0.449 0.022 20.792 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.489 0.067 22.180 0.000
## CBCL_Q09_P 1.283 0.061 20.860 0.000
## CBCL_Q13_P 0.450 0.038 11.984 0.000
## CBCL_Q17_P 1.120 0.061 18.208 0.000
## CBCL_Q36_P 0.637 0.043 14.982 0.000
## CBCL_Q46_P 0.639 0.046 13.911 0.000
## CBCL_Q61_P 0.803 0.043 18.658 0.000
## CBCL_Q62_P 0.715 0.042 17.204 0.000
## CBCL_Q64_P 0.709 0.040 17.914 0.000
## CBCL_Q66_P 0.483 0.040 11.971 0.000
## CBCL_Q80_P 0.585 0.042 14.030 0.000
## CBCL_Q85_P 0.419 0.033 12.705 0.000
## CBCL_Q93_P 1.000 0.055 18.045 0.000
## Com6_Distractd 1.763 0.075 23.621 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.363 0.025 14.578 0.000
## CBCL_Q29_P 0.536 0.026 20.866 0.000
## CBCL_Q30_P 0.204 0.021 9.754 0.000
## CBCL_Q31_P 0.350 0.024 14.358 0.000
## CBCL_Q32_P 0.674 0.029 23.595 0.000
## CBCL_Q35_P 0.517 0.027 19.335 0.000
## CBCL_Q45_P 0.721 0.025 28.800 0.000
## CBCL_Q50_P 0.891 0.022 40.813 0.000
## CBCL_Q52_P 0.358 0.025 14.510 0.000
## CBCL_Q71_P 0.840 0.028 30.155 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.897 0.329 8.796 0.000
## CBCL_Q56B_P 3.843 0.409 9.395 0.000
## CBCL_Q56C_P 4.242 0.485 8.754 0.000
## CBCL_Q56D_P 0.554 0.104 5.316 0.000
## CBCL_Q56E_P 1.506 0.218 6.905 0.000
## CBCL_Q56F_P 5.073 0.568 8.940 0.000
## CBCL_Q56G_P 1.148 0.168 6.844 0.000
## CBCL_Q56H_P 0.697 0.138 5.044 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.317 0.094 14.026 0.000
## CBCL_Q42_P 1.834 0.153 11.974 0.000
## CBCL_Q65_P 1.008 0.113 8.956 0.000
## CBCL_Q75_P 1.845 0.184 10.036 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.210 0.047 25.492 0.000
## NIHTBX_PATTERN 1.003 0.043 23.595 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.067 0.038 27.854 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.055 0.038 27.596 0.000
## NIHTBX_LIST_UN 1.147 0.054 21.103 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.160 0.051 22.783 0.000
## g =~
## EF 0.357 0.017 21.175 0.000
## verbal 0.515 0.017 29.520 0.000
## memory 0.455 0.015 29.478 0.000
## spatial 0.473 0.016 28.674 0.000
## RR =~
## BISBAS8_Y 1.000
## BISBAS10_Y 0.982 0.028 35.687 0.000
## BISBAS11_Y 0.832 0.031 26.550 0.000
## BISBAS12_Y 1.117 0.030 36.916 0.000
## Drive =~
## BISBAS13_Y 1.000
## BISBAS14_Y 1.076 0.023 46.767 0.000
## BISBAS15_Y 1.014 0.027 37.557 0.000
## BISBAS16_Y 0.808 0.030 27.002 0.000
## Fun =~
## BISBAS17_Y 1.000
## BISBAS18_Y 1.120 0.043 25.876 0.000
## BISBAS19_Y 0.966 0.041 23.567 0.000
## BISBAS20_Y 0.971 0.035 27.539 0.000
## BASg =~
## RR 0.530 0.015 34.765 0.000
## Drive 0.547 0.015 35.456 0.000
## Fun 0.451 0.017 26.387 0.000
## Std.lv Std.all
##
## 0.430 0.663
## 0.219 0.439
## 0.251 0.484
## 0.023 0.242
## 0.144 0.520
## 0.298 0.578
## 0.196 0.533
## 0.260 0.546
## 0.103 0.410
## 0.076 0.434
## 0.079 0.308
## 0.261 0.569
## 0.014 0.218
## 0.213 0.584
## 0.010 0.134
## 0.244 0.458
## 0.363 0.644
## 0.280 0.607
## 0.205 0.529
## 0.071 0.381
## 0.115 0.402
## 0.139 0.432
## 0.351 0.651
## 0.018 0.192
## 0.139 0.529
## 0.105 0.485
## 0.295 0.661
## 0.091 0.430
## 0.193 0.533
##
## 0.256 0.539
## 0.381 0.630
## 0.328 0.588
## 0.115 0.456
## 0.287 0.528
## 0.163 0.385
## 0.164 0.434
## 0.206 0.547
## 0.183 0.479
## 0.181 0.429
## 0.124 0.432
## 0.150 0.502
## 0.107 0.425
## 0.256 0.467
## 0.451 0.731
##
## 0.415 0.703
## 0.150 0.404
## 0.222 0.500
## 0.085 0.368
## 0.145 0.465
## 0.280 0.494
## 0.215 0.544
## 0.299 0.623
## 0.370 0.727
## 0.149 0.502
## 0.349 0.565
##
## 0.063 0.299
## 0.182 0.427
## 0.241 0.481
## 0.266 0.699
## 0.035 0.173
## 0.094 0.232
## 0.318 0.661
## 0.072 0.350
## 0.044 0.248
##
## 0.129 0.456
## 0.170 0.633
## 0.237 0.558
## 0.130 0.448
## 0.238 0.519
##
## 0.595 0.598
## 0.720 0.724
## 0.597 0.598
##
## 0.685 0.683
## 0.731 0.731
##
## 0.537 0.538
## 0.567 0.566
## 0.616 0.615
##
## 0.495 0.496
## 0.574 0.573
##
## 0.607 0.607
## 0.762 0.762
## 0.858 0.858
## 0.967 0.967
##
## 0.645 0.647
## 0.634 0.636
## 0.537 0.536
## 0.721 0.724
##
## 0.709 0.708
## 0.763 0.764
## 0.719 0.719
## 0.573 0.576
##
## 0.582 0.581
## 0.651 0.653
## 0.562 0.564
## 0.565 0.564
##
## 0.832 0.832
## 0.782 0.782
## 0.785 0.785
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## Ext ~
## ADHD5_ (cExt) 0.031 0.006 4.759 0.000
## pc1 -0.164 1.867 -0.088 0.930
## pc2 2.527 9.866 0.256 0.798
## pc3 0.350 0.513 0.681 0.496
## pc4 25.279 11.913 2.122 0.034
## SEXnum -0.080 0.013 -6.108 0.000
## NDe ~
## ADHD5_ (cNDe) 0.015 0.004 3.832 0.000
## pc1 -0.296 0.930 -0.318 0.751
## pc2 1.038 4.903 0.212 0.832
## pc3 -0.037 0.254 -0.144 0.885
## pc4 -0.318 6.143 -0.052 0.959
## SEXnum -0.063 0.009 -7.229 0.000
## Som ~
## ADHD5_ (cSom) 0.002 0.001 1.757 0.079
## pc1 -0.106 0.246 -0.431 0.666
## pc2 0.737 1.266 0.582 0.561
## pc3 0.169 0.067 2.522 0.012
## pc4 -0.888 1.713 -0.519 0.604
## SEXnum 0.008 0.002 3.275 0.001
## Ext ~
## g (bGEx) -0.070 0.009 -7.743 0.000
## BASg (bBASE) 0.053 0.009 6.206 0.000
## NDe ~
## g (bGND) -0.063 0.006 -10.104 0.000
## BASg (bBASN) 0.025 0.005 4.740 0.000
## Som ~
## g (bGSm) -0.003 0.001 -2.552 0.011
## BASg (bBASS) 0.000 0.001 0.191 0.849
## g ~
## ADHD5_ (aG) -0.102 0.018 -5.674 0.000
## BASg ~
## ADHD5_ (aBAS) 0.069 0.018 3.946 0.000
## g ~
## pc1 10.129 4.896 2.069 0.039
## pc2 -5.778 27.637 -0.209 0.834
## pc3 -2.122 1.389 -1.527 0.127
## pc4 -5.884 28.891 -0.204 0.839
## SEXnum 0.045 0.037 1.208 0.227
## BASg ~
## pc1 -1.012 4.356 -0.232 0.816
## pc2 8.477 22.485 0.377 0.706
## pc3 3.684 1.085 3.397 0.001
## pc4 -16.961 27.448 -0.618 0.537
## SEXnum -0.290 0.036 -8.037 0.000
## Std.lv Std.all
##
## 0.071 0.071
## -0.382 -0.005
## 5.876 0.014
## 0.813 0.009
## 58.783 0.040
## -0.186 -0.093
##
## 0.060 0.059
## -1.155 -0.015
## 4.055 0.010
## -0.143 -0.002
## -1.241 -0.001
## -0.246 -0.123
##
## 0.031 0.031
## -1.695 -0.021
## 11.754 0.028
## 2.696 0.029
## -14.175 -0.010
## 0.127 0.063
##
## -0.166 -0.166
## 0.125 0.125
##
## -0.250 -0.250
## 0.100 0.100
##
## -0.056 -0.056
## 0.004 0.004
##
## -0.101 -0.100
##
## 0.069 0.068
##
## 10.008 0.126
## -5.709 -0.014
## -2.096 -0.022
## -5.814 -0.004
## 0.044 0.022
##
## -0.999 -0.013
## 8.364 0.020
## 3.635 0.039
## -16.733 -0.011
## -0.286 -0.143
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .g ~~
## .BASg -0.179 0.022 -8.178 0.000
## Int ~~
## Det 0.033 0.003 10.517 0.000
## .Ext ~~
## .NDe 0.068 0.004 17.272 0.000
## .Som 0.010 0.001 7.703 0.000
## .NDe ~~
## .Som 0.006 0.001 6.981 0.000
## Std.lv Std.all
##
## -0.179 -0.179
##
## 0.618 0.618
##
## 0.680 0.680
## 0.381 0.381
##
## 0.420 0.420
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .g 1.000
## .BASg 1.000
## .CBCL_Q03_P 0.235 0.006 37.143 0.000
## .CBCL_Q07_P 0.200 0.005 38.730 0.000
## .CBCL_Q109_P 0.205 0.005 39.874 0.000
## .CBCL_Q15_P 0.009 0.002 5.431 0.000
## .CBCL_Q16_P 0.056 0.003 20.733 0.000
## .CBCL_Q19_P 0.178 0.006 29.561 0.000
## .CBCL_Q26_P 0.097 0.004 21.600 0.000
## .CBCL_Q27_P 0.160 0.005 30.323 0.000
## .CBCL_Q34_P 0.053 0.003 15.357 0.000
## .CBCL_Q37_P 0.025 0.002 12.120 0.000
## .CBCL_Q39_P 0.060 0.003 17.215 0.000
## .CBCL_Q43_P 0.142 0.004 33.242 0.000
## .CBCL_Q67_P 0.004 0.001 3.529 0.000
## .CBCL_Q68_P 0.087 0.004 21.958 0.000
## .CBCL_Q72_P 0.005 0.001 4.053 0.000
## .CBCL_Q74_P 0.224 0.006 36.083 0.000
## .CBCL_Q86_P 0.185 0.005 37.147 0.000
## .CBCL_Q87_P 0.135 0.005 29.685 0.000
## .CBCL_Q88_P 0.108 0.004 25.924 0.000
## .CBCL_Q89_P 0.030 0.003 10.302 0.000
## .CBCL_Q90_P 0.068 0.004 15.643 0.000
## .CBCL_Q94_P 0.084 0.004 22.543 0.000
## .CBCL_Q95_P 0.167 0.005 33.324 0.000
## .CBCL_Q96_P 0.008 0.002 4.744 0.000
## .Com1_Attack 0.050 0.002 20.757 0.000
## .Com2_Destroy 0.036 0.002 16.922 0.000
## .Com3_Disobeys 0.112 0.003 32.346 0.000
## .Com4_Steals 0.037 0.002 16.124 0.000
## .Com5_Peer 0.094 0.004 24.968 0.000
## .CBCL_Q01_P 0.160 0.005 30.366 0.000
## .CBCL_Q04_P 0.221 0.006 36.569 0.000
## .CBCL_Q09_P 0.204 0.006 33.534 0.000
## .CBCL_Q13_P 0.051 0.003 14.985 0.000
## .CBCL_Q17_P 0.213 0.006 34.531 0.000
## .CBCL_Q36_P 0.153 0.006 25.807 0.000
## .CBCL_Q46_P 0.115 0.005 20.987 0.000
## .CBCL_Q61_P 0.099 0.004 22.330 0.000
## .CBCL_Q62_P 0.112 0.005 22.190 0.000
## .CBCL_Q64_P 0.146 0.005 27.195 0.000
## .CBCL_Q66_P 0.067 0.004 15.555 0.000
## .CBCL_Q80_P 0.066 0.003 19.760 0.000
## .CBCL_Q85_P 0.052 0.003 16.910 0.000
## .CBCL_Q93_P 0.235 0.007 34.682 0.000
## .Com6_Distractd 0.178 0.006 29.872 0.000
## .CBCL_Q112_P 0.176 0.005 32.743 0.000
## .CBCL_Q12_P 0.116 0.005 22.007 0.000
## .CBCL_Q29_P 0.148 0.005 29.213 0.000
## .CBCL_Q30_P 0.046 0.003 13.173 0.000
## .CBCL_Q31_P 0.076 0.004 20.729 0.000
## .CBCL_Q32_P 0.243 0.007 36.473 0.000
## .CBCL_Q35_P 0.110 0.004 26.391 0.000
## .CBCL_Q45_P 0.141 0.005 27.483 0.000
## .CBCL_Q50_P 0.122 0.005 26.507 0.000
## .CBCL_Q52_P 0.066 0.003 19.697 0.000
## .CBCL_Q71_P 0.259 0.006 41.764 0.000
## .CBCL_Q51_P 0.040 0.003 12.979 0.000
## .CBCL_Q56A_P 0.148 0.005 28.188 0.000
## .CBCL_Q56B_P 0.193 0.006 31.836 0.000
## .CBCL_Q56C_P 0.074 0.004 20.682 0.000
## .CBCL_Q56D_P 0.039 0.004 9.353 0.000
## .CBCL_Q56E_P 0.157 0.007 24.102 0.000
## .CBCL_Q56F_P 0.130 0.006 21.425 0.000
## .CBCL_Q56G_P 0.037 0.002 14.833 0.000
## .CBCL_Q56H_P 0.029 0.003 9.045 0.000
## .CBCL_Q102_P 0.063 0.004 15.855 0.000
## .CBCL_Q111_P 0.043 0.003 16.941 0.000
## .CBCL_Q42_P 0.124 0.005 23.985 0.000
## .CBCL_Q65_P 0.067 0.004 16.963 0.000
## .CBCL_Q75_P 0.154 0.006 25.654 0.000
## .NIHTBX_FLANKER 0.635 0.021 30.134 0.000
## .NIHTBX_CARDSOR 0.472 0.023 20.480 0.000
## .NIHTBX_PATTERN 0.639 0.021 31.165 0.000
## .NIHTBX_PICVOCA 0.537 0.022 24.640 0.000
## .NIHTBX_READING 0.466 0.023 20.646 0.000
## .NIHTBX_PICTURE 0.710 0.019 37.384 0.000
## .PEA_RAVLT_LD_T 0.681 0.021 32.824 0.000
## .NIHTBX_LIST_UN 0.625 0.022 28.382 0.000
## .LMT_SCR_PERC_C 0.751 0.020 36.881 0.000
## .PEA_WISCV_TRS 0.674 0.023 29.735 0.000
## .BISBAS8_Y 0.579 0.018 32.463 0.000
## .BISBAS10_Y 0.590 0.018 32.813 0.000
## .BISBAS11_Y 0.714 0.022 32.908 0.000
## .BISBAS12_Y 0.473 0.016 28.668 0.000
## .BISBAS13_Y 0.502 0.016 30.833 0.000
## .BISBAS14_Y 0.416 0.015 27.240 0.000
## .BISBAS15_Y 0.483 0.015 32.195 0.000
## .BISBAS16_Y 0.663 0.021 30.873 0.000
## .BISBAS17_Y 0.666 0.018 37.891 0.000
## .BISBAS18_Y 0.570 0.019 30.400 0.000
## .BISBAS19_Y 0.676 0.018 37.238 0.000
## .BISBAS20_Y 0.684 0.019 36.558 0.000
## .Ext 0.172 0.007 23.642 0.000
## .NDe 0.058 0.005 12.316 0.000
## Int 0.172 0.008 22.065 0.000
## .Som 0.004 0.001 4.670 0.000
## Det 0.017 0.003 6.045 0.000
## .EF 0.223 0.015 14.692 0.000
## .verbal 0.197 0.015 12.728 0.000
## .memory 0.076 0.011 6.663 0.000
## .spatial 0.016 0.012 1.350 0.177
## .RR 0.128 0.012 10.665 0.000
## .Drive 0.195 0.015 13.313 0.000
## .Fun 0.130 0.011 11.820 0.000
## Std.lv Std.all
## 0.976 0.976
## 0.973 0.973
## 0.235 0.560
## 0.200 0.807
## 0.205 0.766
## 0.009 0.941
## 0.056 0.729
## 0.178 0.666
## 0.097 0.716
## 0.160 0.702
## 0.053 0.832
## 0.025 0.811
## 0.060 0.905
## 0.142 0.676
## 0.004 0.952
## 0.087 0.659
## 0.005 0.982
## 0.224 0.790
## 0.185 0.585
## 0.135 0.632
## 0.108 0.720
## 0.030 0.855
## 0.068 0.839
## 0.084 0.813
## 0.167 0.576
## 0.008 0.963
## 0.050 0.720
## 0.036 0.765
## 0.112 0.563
## 0.037 0.815
## 0.094 0.716
## 0.160 0.710
## 0.221 0.603
## 0.204 0.654
## 0.051 0.792
## 0.213 0.721
## 0.153 0.852
## 0.115 0.811
## 0.099 0.701
## 0.112 0.771
## 0.146 0.816
## 0.067 0.814
## 0.066 0.748
## 0.052 0.820
## 0.235 0.782
## 0.178 0.466
## 0.176 0.506
## 0.116 0.837
## 0.148 0.750
## 0.046 0.865
## 0.076 0.783
## 0.243 0.756
## 0.110 0.704
## 0.141 0.612
## 0.122 0.471
## 0.066 0.748
## 0.259 0.680
## 0.040 0.911
## 0.148 0.818
## 0.193 0.769
## 0.074 0.511
## 0.039 0.970
## 0.157 0.946
## 0.130 0.563
## 0.037 0.877
## 0.029 0.939
## 0.063 0.792
## 0.043 0.600
## 0.124 0.689
## 0.067 0.800
## 0.154 0.731
## 0.635 0.642
## 0.472 0.476
## 0.639 0.642
## 0.537 0.534
## 0.466 0.466
## 0.710 0.711
## 0.681 0.679
## 0.625 0.622
## 0.751 0.754
## 0.674 0.672
## 0.579 0.581
## 0.590 0.595
## 0.714 0.712
## 0.473 0.476
## 0.502 0.499
## 0.416 0.417
## 0.483 0.483
## 0.663 0.669
## 0.666 0.663
## 0.570 0.573
## 0.676 0.682
## 0.684 0.682
## 0.927 0.927
## 0.891 0.891
## 1.000 1.000
## 0.990 0.990
## 1.000 1.000
## 0.631 0.631
## 0.420 0.420
## 0.264 0.264
## 0.064 0.064
## 0.308 0.308
## 0.388 0.388
## 0.384 0.384
##
## R-Square:
## Estimate
## g 0.024
## BASg 0.027
## CBCL_Q03_P 0.440
## CBCL_Q07_P 0.193
## CBCL_Q109_P 0.234
## CBCL_Q15_P 0.059
## CBCL_Q16_P 0.271
## CBCL_Q19_P 0.334
## CBCL_Q26_P 0.284
## CBCL_Q27_P 0.298
## CBCL_Q34_P 0.168
## CBCL_Q37_P 0.189
## CBCL_Q39_P 0.095
## CBCL_Q43_P 0.324
## CBCL_Q67_P 0.048
## CBCL_Q68_P 0.341
## CBCL_Q72_P 0.018
## CBCL_Q74_P 0.210
## CBCL_Q86_P 0.415
## CBCL_Q87_P 0.368
## CBCL_Q88_P 0.280
## CBCL_Q89_P 0.145
## CBCL_Q90_P 0.161
## CBCL_Q94_P 0.187
## CBCL_Q95_P 0.424
## CBCL_Q96_P 0.037
## Com1_Attack 0.280
## Com2_Destroy 0.235
## Com3_Disobeys 0.437
## Com4_Steals 0.185
## Com5_Peer 0.284
## CBCL_Q01_P 0.290
## CBCL_Q04_P 0.397
## CBCL_Q09_P 0.346
## CBCL_Q13_P 0.208
## CBCL_Q17_P 0.279
## CBCL_Q36_P 0.148
## CBCL_Q46_P 0.189
## CBCL_Q61_P 0.299
## CBCL_Q62_P 0.229
## CBCL_Q64_P 0.184
## CBCL_Q66_P 0.186
## CBCL_Q80_P 0.252
## CBCL_Q85_P 0.180
## CBCL_Q93_P 0.218
## Com6_Distractd 0.534
## CBCL_Q112_P 0.494
## CBCL_Q12_P 0.163
## CBCL_Q29_P 0.250
## CBCL_Q30_P 0.135
## CBCL_Q31_P 0.217
## CBCL_Q32_P 0.244
## CBCL_Q35_P 0.296
## CBCL_Q45_P 0.388
## CBCL_Q50_P 0.529
## CBCL_Q52_P 0.252
## CBCL_Q71_P 0.320
## CBCL_Q51_P 0.089
## CBCL_Q56A_P 0.182
## CBCL_Q56B_P 0.231
## CBCL_Q56C_P 0.489
## CBCL_Q56D_P 0.030
## CBCL_Q56E_P 0.054
## CBCL_Q56F_P 0.437
## CBCL_Q56G_P 0.123
## CBCL_Q56H_P 0.061
## CBCL_Q102_P 0.208
## CBCL_Q111_P 0.400
## CBCL_Q42_P 0.311
## CBCL_Q65_P 0.200
## CBCL_Q75_P 0.269
## NIHTBX_FLANKER 0.358
## NIHTBX_CARDSOR 0.524
## NIHTBX_PATTERN 0.358
## NIHTBX_PICVOCA 0.466
## NIHTBX_READING 0.534
## NIHTBX_PICTURE 0.289
## PEA_RAVLT_LD_T 0.321
## NIHTBX_LIST_UN 0.378
## LMT_SCR_PERC_C 0.246
## PEA_WISCV_TRS 0.328
## BISBAS8_Y 0.419
## BISBAS10_Y 0.405
## BISBAS11_Y 0.288
## BISBAS12_Y 0.524
## BISBAS13_Y 0.501
## BISBAS14_Y 0.583
## BISBAS15_Y 0.517
## BISBAS16_Y 0.331
## BISBAS17_Y 0.337
## BISBAS18_Y 0.427
## BISBAS19_Y 0.318
## BISBAS20_Y 0.318
## Ext 0.073
## NDe 0.109
## Som 0.010
## EF 0.369
## verbal 0.580
## memory 0.736
## spatial 0.936
## RR 0.692
## Drive 0.612
## Fun 0.616
##
## Defined Parameters:
## Estimate Std.Err z-value P(>|z|)
## indirectCgGExt 0.007 0.002 4.573 0.000
## indirectBASExt 0.004 0.001 3.390 0.001
## sumIndirectExt 0.011 0.002 5.700 0.000
## indirectCogGND 0.006 0.001 4.940 0.000
## indirectBASNDe 0.002 0.001 3.041 0.002
## sumIndirectNDe 0.008 0.001 5.614 0.000
## indirectCogGSm 0.000 0.000 2.288 0.022
## indirectBASSom 0.000 0.000 0.191 0.849
## sumIndirectSom 0.000 0.000 2.283 0.022
## directExt 0.031 0.006 4.759 0.000
## directNDe 0.015 0.004 3.832 0.000
## directSom 0.002 0.001 1.757 0.079
## totalExt 0.042 0.007 6.367 0.000
## propCogGExt 0.173 0.043 4.033 0.000
## propBASExt 0.088 0.028 3.117 0.002
## prpSmIndrctExt 0.261 0.056 4.703 0.000
## totalNDe 0.023 0.004 5.816 0.000
## propCogGNDe 0.275 0.066 4.181 0.000
## propBASNDe 0.075 0.026 2.837 0.005
## propSmIndrctND 0.350 0.077 4.568 0.000
## totalSom 0.002 0.001 2.113 0.035
## propCogGSom 0.152 0.096 1.591 0.112
## propBASSom 0.008 0.041 0.189 0.850
## propSmIndrctSm 0.160 0.103 1.556 0.120
## Std.lv Std.all
## 0.017 0.017
## 0.009 0.008
## 0.025 0.025
## 0.025 0.025
## 0.007 0.007
## 0.032 0.032
## 0.006 0.006
## 0.000 0.000
## 0.006 0.006
## 0.071 0.071
## 0.060 0.059
## 0.031 0.031
## 0.097 0.096
## 0.173 0.173
## 0.088 0.088
## 0.261 0.261
## 0.092 0.091
## 0.275 0.275
## 0.075 0.075
## 0.350 0.350
## 0.037 0.037
## 0.152 0.152
## 0.008 0.008
## 0.160 0.160ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 <-broom::tidy(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit)%>%
filter(op %in% c("~",":=")) %>%
filter(!str_detect(term, "pc")) %>%
filter(!str_detect(term, "cnt")) %>%
filter(!str_detect(term, "SEXnum"))
knitr::kable(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2, format = "html", row.names = TRUE) | term | op | label | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | Ext ~ ADHDp5e_2_score | ~ | cExt | 0.0307277 | 0.0064565 | 4.7591993 | 0.0000019 | 0.0714540 | 0.0710695 | 0.0714540 |
| 2 | NDe ~ ADHDp5e_2_score | ~ | cNDe | 0.0152721 | 0.0039851 | 3.8323374 | 0.0001269 | 0.0596453 | 0.0593243 | 0.0596453 |
| 3 | Som ~ ADHDp5e_2_score | ~ | cSom | 0.0019497 | 0.0011096 | 1.7571206 | 0.0788973 | 0.0311112 | 0.0309439 | 0.0311112 |
| 4 | Ext ~ g | ~ | bGExt | -0.0704524 | 0.0090984 | -7.7433752 | 0.0000000 | -0.1658016 | -0.1658016 | -0.1658016 |
| 5 | Ext ~ BASg | ~ | bBASgExt | 0.0528634 | 0.0085186 | 6.2056233 | 0.0000000 | 0.1246000 | 0.1246000 | 0.1246000 |
| 6 | NDe ~ g | ~ | bGNDe | -0.0632966 | 0.0062644 | -10.1042287 | 0.0000000 | -0.2501807 | -0.2501807 | -0.2501807 |
| 7 | NDe ~ BASg | ~ | bBASgNDe | 0.0252856 | 0.0053343 | 4.7401918 | 0.0000021 | 0.1000957 | 0.1000957 | 0.1000957 |
| 8 | Som ~ g | ~ | bGSom | -0.0034661 | 0.0013583 | -2.5517503 | 0.0107183 | -0.0559750 | -0.0559750 | -0.0559750 |
| 9 | Som ~ BASg | ~ | bBASgSom | 0.0002608 | 0.0013666 | 0.1908159 | 0.8486699 | 0.0042178 | 0.0042178 | 0.0042178 |
| 10 | g ~ ADHDp5e_2_score | ~ | aG | -0.1021236 | 0.0179990 | -5.6738394 | 0.0000000 | -0.1009088 | -0.1003658 | -0.1009088 |
| 11 | BASg ~ ADHDp5e_2_score | ~ | aBASg | 0.0694770 | 0.0176053 | 3.9463640 | 0.0000793 | 0.0685448 | 0.0681760 | 0.0685448 |
| 12 | indirectCogGExt := aG*bGExt | := | indirectCogGExt | 0.0071948 | 0.0015734 | 4.5727863 | 0.0000048 | 0.0167308 | 0.0166408 | 0.0167308 |
| 13 | indirectBASExt := aBASg*bBASgExt | := | indirectBASExt | 0.0036728 | 0.0010834 | 3.3900024 | 0.0006989 | 0.0085407 | 0.0084947 | 0.0085407 |
| 14 | sumIndirectExt := (aGbGExt)+(aBASgbBASgExt) | := | sumIndirectExt | 0.0108676 | 0.0019065 | 5.7002683 | 0.0000000 | 0.0252715 | 0.0251355 | 0.0252715 |
| 15 | indirectCogGNDe := aG*bGNDe | := | indirectCogGNDe | 0.0064641 | 0.0013086 | 4.9396219 | 0.0000008 | 0.0252454 | 0.0251096 | 0.0252454 |
| 16 | indirectBASNDe := aBASg*bBASgNDe | := | indirectBASNDe | 0.0017568 | 0.0005777 | 3.0411615 | 0.0023567 | 0.0068610 | 0.0068241 | 0.0068610 |
| 17 | sumIndirectNDe := (aGbGNDe)+(aBASgbBASgNDe) | := | sumIndirectNDe | 0.0082208 | 0.0014642 | 5.6144119 | 0.0000000 | 0.0321065 | 0.0319337 | 0.0321065 |
| 18 | indirectCogGSom := aG*bGSom | := | indirectCogGSom | 0.0003540 | 0.0001547 | 2.2878143 | 0.0221483 | 0.0056484 | 0.0056180 | 0.0056484 |
| 19 | indirectBASSom := aBASg*bBASgSom | := | indirectBASSom | 0.0000181 | 0.0000950 | 0.1907730 | 0.8487035 | 0.0002891 | 0.0002876 | 0.0002891 |
| 20 | sumIndirectSom := (aGbGSom)+(aBASgbBASgSom) | := | sumIndirectSom | 0.0003721 | 0.0001630 | 2.2829340 | 0.0224343 | 0.0059375 | 0.0059055 | 0.0059375 |
| 21 | directExt := cExt | := | directExt | 0.0307277 | 0.0064565 | 4.7591993 | 0.0000019 | 0.0714540 | 0.0710695 | 0.0714540 |
| 22 | directNDe := cNDe | := | directNDe | 0.0152721 | 0.0039851 | 3.8323374 | 0.0001269 | 0.0596453 | 0.0593243 | 0.0596453 |
| 23 | directSom := cSom | := | directSom | 0.0019497 | 0.0011096 | 1.7571206 | 0.0788973 | 0.0311112 | 0.0309439 | 0.0311112 |
| 24 | totalExt := cExt+(aGbGExt)+(aBASgbBASgExt) | := | totalExt | 0.0415954 | 0.0065325 | 6.3674531 | 0.0000000 | 0.0967255 | 0.0962050 | 0.0967255 |
| 25 | propCogGExt := indirectCogGExt/totalExt | := | propCogGExt | 0.1729723 | 0.0428945 | 4.0325046 | 0.0000552 | 0.1729723 | 0.1729723 | 0.1729723 |
| 26 | propBASExt := indirectBASExt/totalExt | := | propBASExt | 0.0882981 | 0.0283321 | 3.1165412 | 0.0018299 | 0.0882981 | 0.0882981 | 0.0882981 |
| 27 | propSumIndirectExt := sumIndirectExt/totalExt | := | propSumIndirectExt | 0.2612705 | 0.0555563 | 4.7028076 | 0.0000026 | 0.2612705 | 0.2612705 | 0.2612705 |
| 28 | totalNDe := cNDe+(aGbGNDe)+(aBASgbBASgNDe) | := | totalNDe | 0.0234930 | 0.0040395 | 5.8158526 | 0.0000000 | 0.0917517 | 0.0912580 | 0.0917517 |
| 29 | propCogGNDe := indirectCogGNDe/totalNDe | := | propCogGNDe | 0.2751493 | 0.0658063 | 4.1811999 | 0.0000290 | 0.2751493 | 0.2751493 | 0.2751493 |
| 30 | propBASNDe := indirectBASNDe/totalNDe | := | propBASNDe | 0.0747783 | 0.0263616 | 2.8366328 | 0.0045592 | 0.0747783 | 0.0747783 | 0.0747783 |
| 31 | propSumIndirectNDe := sumIndirectNDe/totalNDe | := | propSumIndirectNDe | 0.3499276 | 0.0766073 | 4.5678112 | 0.0000049 | 0.3499276 | 0.3499276 | 0.3499276 |
| 32 | totalSom := cSom+(aGbGSom)+(aBASgbBASgSom) | := | totalSom | 0.0023218 | 0.0010986 | 2.1133773 | 0.0345685 | 0.0370487 | 0.0368494 | 0.0370487 |
| 33 | propCogGSom := indirectCogGSom/totalSom | := | propCogGSom | 0.1524579 | 0.0958094 | 1.5912626 | 0.1115505 | 0.1524579 | 0.1524579 | 0.1524579 |
| 34 | propBASSom := indirectBASSom/totalSom | := | propBASSom | 0.0078034 | 0.0413189 | 0.1888579 | 0.8502042 | 0.0078034 | 0.0078034 | 0.0078034 |
| 35 | propSumIndirectSom := sumIndirectSom/totalSom | := | propSumIndirectSom | 0.1602613 | 0.1030031 | 1.5558882 | 0.1197347 | 0.1602613 | 0.1602613 | 0.1602613 |
ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2Std <-
lavaan::standardizedSolution(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit ) %>%
filter(op %in% c("~",":=")) %>%
filter(!str_detect(rhs, "pc")) %>%
filter(!str_detect(rhs, "cnt")) %>%
filter(!str_detect(rhs, "SEXnum"))
knitr::kable(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2Std, format = "html", row.names = TRUE) | lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Ext | ~ | ADHDp5e_2_score | 0.0710695 | 0.0147982 | 4.8025809 | 0.0000016 | 0.0420656 | 0.1000734 |
| 2 | NDe | ~ | ADHDp5e_2_score | 0.0593243 | 0.0153597 | 3.8623411 | 0.0001123 | 0.0292199 | 0.0894288 |
| 3 | Som | ~ | ADHDp5e_2_score | 0.0309439 | 0.0172339 | 1.7955256 | 0.0725700 | -0.0028339 | 0.0647216 |
| 4 | Ext | ~ | g | -0.1658016 | 0.0210073 | -7.8925613 | 0.0000000 | -0.2069752 | -0.1246280 |
| 5 | Ext | ~ | BASg | 0.1246000 | 0.0198291 | 6.2837023 | 0.0000000 | 0.0857357 | 0.1634643 |
| 6 | NDe | ~ | g | -0.2501807 | 0.0216543 | -11.5534082 | 0.0000000 | -0.2926223 | -0.2077391 |
| 7 | NDe | ~ | BASg | 0.1000957 | 0.0205592 | 4.8686680 | 0.0000011 | 0.0598005 | 0.1403909 |
| 8 | Som | ~ | g | -0.0559750 | 0.0209000 | -2.6782352 | 0.0074011 | -0.0969382 | -0.0150118 |
| 9 | Som | ~ | BASg | 0.0042178 | 0.0221255 | 0.1906288 | 0.8488164 | -0.0391475 | 0.0475830 |
| 10 | g | ~ | ADHDp5e_2_score | -0.1003658 | 0.0175165 | -5.7297995 | 0.0000000 | -0.1346974 | -0.0660342 |
| 11 | BASg | ~ | ADHDp5e_2_score | 0.0681760 | 0.0172010 | 3.9634829 | 0.0000739 | 0.0344626 | 0.1018893 |
| 12 | indirectCogGExt | := | aG*bGExt | 0.0166408 | 0.0036198 | 4.5971010 | 0.0000043 | 0.0095460 | 0.0237356 |
| 13 | indirectBASExt | := | aBASg*bBASgExt | 0.0084947 | 0.0024989 | 3.3993256 | 0.0006755 | 0.0035969 | 0.0133926 |
| 14 | sumIndirectExt | := | (aGbGExt)+(aBASgbBASgExt) | 0.0251355 | 0.0043739 | 5.7466823 | 0.0000000 | 0.0165628 | 0.0337083 |
| 15 | indirectCogGNDe | := | aG*bGNDe | 0.0251096 | 0.0049505 | 5.0721556 | 0.0000004 | 0.0154068 | 0.0348123 |
| 16 | indirectBASNDe | := | aBASg*bBASgNDe | 0.0068241 | 0.0022169 | 3.0782667 | 0.0020821 | 0.0024791 | 0.0111691 |
| 17 | sumIndirectNDe | := | (aGbGNDe)+(aBASgbBASgNDe) | 0.0319337 | 0.0054856 | 5.8213871 | 0.0000000 | 0.0211822 | 0.0426853 |
| 18 | indirectCogGSom | := | aG*bGSom | 0.0056180 | 0.0023595 | 2.3809628 | 0.0172675 | 0.0009934 | 0.0102426 |
| 19 | indirectBASSom | := | aBASg*bBASgSom | 0.0002876 | 0.0015088 | 0.1905818 | 0.8488532 | -0.0026696 | 0.0032447 |
| 20 | sumIndirectSom | := | (aGbGSom)+(aBASgbBASgSom) | 0.0059055 | 0.0025098 | 2.3530052 | 0.0186224 | 0.0009864 | 0.0108246 |
| 21 | directExt | := | cExt | 0.0710695 | 0.0147982 | 4.8025809 | 0.0000016 | 0.0420656 | 0.1000734 |
| 22 | directNDe | := | cNDe | 0.0593243 | 0.0153597 | 3.8623411 | 0.0001123 | 0.0292199 | 0.0894288 |
| 23 | directSom | := | cSom | 0.0309439 | 0.0172339 | 1.7955256 | 0.0725700 | -0.0028339 | 0.0647216 |
| 24 | totalExt | := | cExt+(aGbGExt)+(aBASgbBASgExt) | 0.0962050 | 0.0148880 | 6.4619277 | 0.0000000 | 0.0670251 | 0.1253849 |
| 25 | propCogGExt | := | indirectCogGExt/totalExt | 0.1729723 | 0.0428945 | 4.0325052 | 0.0000552 | 0.0889006 | 0.2570440 |
| 26 | propBASExt | := | indirectBASExt/totalExt | 0.0882981 | 0.0283321 | 3.1165415 | 0.0018299 | 0.0327683 | 0.1438280 |
| 27 | propSumIndirectExt | := | sumIndirectExt/totalExt | 0.2612705 | 0.0555563 | 4.7028086 | 0.0000026 | 0.1523822 | 0.3701588 |
| 28 | totalNDe | := | cNDe+(aGbGNDe)+(aBASgbBASgNDe) | 0.0912580 | 0.0152988 | 5.9650418 | 0.0000000 | 0.0612729 | 0.1212432 |
| 29 | propCogGNDe | := | indirectCogGNDe/totalNDe | 0.2751493 | 0.0658063 | 4.1812013 | 0.0000290 | 0.1461714 | 0.4041272 |
| 30 | propBASNDe | := | indirectBASNDe/totalNDe | 0.0747783 | 0.0263616 | 2.8366333 | 0.0045592 | 0.0231104 | 0.1264462 |
| 31 | propSumIndirectNDe | := | sumIndirectNDe/totalNDe | 0.3499276 | 0.0766072 | 4.5678130 | 0.0000049 | 0.1997801 | 0.5000750 |
| 32 | totalSom | := | cSom+(aGbGSom)+(aBASgbBASgSom) | 0.0368494 | 0.0169099 | 2.1791663 | 0.0293193 | 0.0037067 | 0.0699921 |
| 33 | propCogGSom | := | indirectCogGSom/totalSom | 0.1524579 | 0.0958090 | 1.5912685 | 0.1115492 | -0.0353244 | 0.3402401 |
| 34 | propBASSom | := | indirectBASSom/totalSom | 0.0078034 | 0.0413189 | 0.1888580 | 0.8502041 | -0.0731801 | 0.0887869 |
| 35 | propSumIndirectSom | := | sumIndirectSom/totalSom | 0.1602613 | 0.1030027 | 1.5558942 | 0.1197333 | -0.0416203 | 0.3621428 |
ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2_sig <- ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 %>% filter(p.value < 0.05)3.9.1 unstandardised indirect effects for ADHD PS
ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 %>%
filter(str_detect(term, 'indirect')) %>%
filter(!str_detect(term, 'prop')) %>%
mutate_if(is.numeric, round, 3) %>%
knitr::kable(format = "html", row.names = TRUE) | term | op | label | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | indirectCogGExt := aG*bGExt | := | indirectCogGExt | 0.007 | 0.002 | 4.573 | 0.000 | 0.017 | 0.017 | 0.017 |
| 2 | indirectBASExt := aBASg*bBASgExt | := | indirectBASExt | 0.004 | 0.001 | 3.390 | 0.001 | 0.009 | 0.008 | 0.009 |
| 3 | indirectCogGNDe := aG*bGNDe | := | indirectCogGNDe | 0.006 | 0.001 | 4.940 | 0.000 | 0.025 | 0.025 | 0.025 |
| 4 | indirectBASNDe := aBASg*bBASgNDe | := | indirectBASNDe | 0.002 | 0.001 | 3.041 | 0.002 | 0.007 | 0.007 | 0.007 |
| 5 | indirectCogGSom := aG*bGSom | := | indirectCogGSom | 0.000 | 0.000 | 2.288 | 0.022 | 0.006 | 0.006 | 0.006 |
| 6 | indirectBASSom := aBASg*bBASgSom | := | indirectBASSom | 0.000 | 0.000 | 0.191 | 0.849 | 0.000 | 0.000 | 0.000 |
3.9.2 standardised indirect effects for ADHD PS
ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2Std %>%
filter(str_detect(lhs, 'indirect')) %>%
# mutate(pfdr = p.adjust(pvalue, method="fdr")) %>%
mutate_if(is.numeric, round, 3) %>%
knitr::kable(format = "html", row.names = TRUE) | lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | indirectCogGExt | := | aG*bGExt | 0.017 | 0.004 | 4.597 | 0.000 | 0.010 | 0.024 |
| 2 | indirectBASExt | := | aBASg*bBASgExt | 0.008 | 0.002 | 3.399 | 0.001 | 0.004 | 0.013 |
| 3 | indirectCogGNDe | := | aG*bGNDe | 0.025 | 0.005 | 5.072 | 0.000 | 0.015 | 0.035 |
| 4 | indirectBASNDe | := | aBASg*bBASgNDe | 0.007 | 0.002 | 3.078 | 0.002 | 0.002 | 0.011 |
| 5 | indirectCogGSom | := | aG*bGSom | 0.006 | 0.002 | 2.381 | 0.017 | 0.001 | 0.010 |
| 6 | indirectBASSom | := | aBASg*bBASgSom | 0.000 | 0.002 | 0.191 | 0.849 | -0.003 | 0.003 |
3.9.3 unstandardised fdr for ADHD PS
applied to sum indirect
ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 %>%
filter(str_detect(term, 'sumIndirect')) %>%
filter(!str_detect(term, 'prop')) %>%
mutate(pfdr = p.adjust(p.value, method="fdr")) %>%
mutate_if(is.numeric, round, 3) %>%
knitr::kable(format = "html", row.names = TRUE) | term | op | label | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox | pfdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | sumIndirectExt := (aGbGExt)+(aBASgbBASgExt) | := | sumIndirectExt | 0.011 | 0.002 | 5.700 | 0.000 | 0.025 | 0.025 | 0.025 | 0.000 |
| 2 | sumIndirectNDe := (aGbGNDe)+(aBASgbBASgNDe) | := | sumIndirectNDe | 0.008 | 0.001 | 5.614 | 0.000 | 0.032 | 0.032 | 0.032 | 0.000 |
| 3 | sumIndirectSom := (aGbGSom)+(aBASgbBASgSom) | := | sumIndirectSom | 0.000 | 0.000 | 2.283 | 0.022 | 0.006 | 0.006 | 0.006 | 0.022 |
3.9.4 standardised fdr for ADHD PS
applied tosum indirect
ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2Std %>%
filter(str_detect(lhs, 'sumIndirect')) %>%
mutate(pfdr = p.adjust(pvalue, method="fdr")) %>%
mutate_if(is.numeric, round, 3) %>%
knitr::kable(format = "html", row.names = TRUE) | lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | pfdr | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | sumIndirectExt | := | (aGbGExt)+(aBASgbBASgExt) | 0.025 | 0.004 | 5.747 | 0.000 | 0.017 | 0.034 | 0.000 |
| 2 | sumIndirectNDe | := | (aGbGNDe)+(aBASgbBASgNDe) | 0.032 | 0.005 | 5.821 | 0.000 | 0.021 | 0.043 | 0.000 |
| 3 | sumIndirectSom | := | (aGbGSom)+(aBASgbBASgSom) | 0.006 | 0.003 | 2.353 | 0.019 | 0.001 | 0.011 | 0.019 |
3.9.5 fdr for unstandardised ADHD PS
applied to prop Sum
ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 %>%
filter(str_detect(term, 'propSum')) %>%
mutate(pfdr = p.adjust(p.value, method="fdr")) %>%
mutate_if(is.numeric, round, 3) %>%
knitr::kable(format = "html", row.names = TRUE) | term | op | label | estimate | std.error | statistic | p.value | std.lv | std.all | std.nox | pfdr | |
|---|---|---|---|---|---|---|---|---|---|---|---|
| 1 | propSumIndirectExt := sumIndirectExt/totalExt | := | propSumIndirectExt | 0.261 | 0.056 | 4.703 | 0.00 | 0.261 | 0.261 | 0.261 | 0.00 |
| 2 | propSumIndirectNDe := sumIndirectNDe/totalNDe | := | propSumIndirectNDe | 0.350 | 0.077 | 4.568 | 0.00 | 0.350 | 0.350 | 0.350 | 0.00 |
| 3 | propSumIndirectSom := sumIndirectSom/totalSom | := | propSumIndirectSom | 0.160 | 0.103 | 1.556 | 0.12 | 0.160 | 0.160 | 0.160 | 0.12 |
3.9.6 FDR for the standardised ADHD PS
applied to prop Sum
ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2Std %>%
filter(str_detect(lhs, 'propSum')) %>%
mutate(pfdr = p.adjust(pvalue, method="fdr")) %>%
mutate_if(is.numeric, round, 3) %>%
knitr::kable(format = "html", row.names = TRUE) | lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | pfdr | |
|---|---|---|---|---|---|---|---|---|---|---|
| 1 | propSumIndirectExt | := | sumIndirectExt/totalExt | 0.261 | 0.056 | 4.703 | 0.00 | 0.152 | 0.370 | 0.00 |
| 2 | propSumIndirectNDe | := | sumIndirectNDe/totalNDe | 0.350 | 0.077 | 4.568 | 0.00 | 0.200 | 0.500 | 0.00 |
| 3 | propSumIndirectSom | := | sumIndirectSom/totalSom | 0.160 | 0.103 | 1.556 | 0.12 | -0.042 | 0.362 | 0.12 |
3.9.7 Plot mediation between ADHD PS and specific dimensions of psychopathology with BAS and G-Factor as mediators
s_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 <- add.significance.stars(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2, cutoffs = c(0.05, 0.01, 0.001))
##combine parameter estimate and importance star into a string use p.value column
ax_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 <-gsub(" ","",paste0(round(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2$std.all,3),
s_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[,7]))
E <- matrix(c(
1,4, # Loading
1,6, # Loading
1,7, # Loading
4,3,
3,4,
6,3,
3,6,
7,3,
3,7,
6,4,
4,6,
7,4,
4,7,
7,6,
6,7,
2,4, # Loading
2,6, # Loading
2,7, # Loading
8,1,
8,2,
9,1,
9,2,
9,4,
9,6,
9,7,
2,14,
2,15,
2,16,
2,17,
1,18,
1,19,
1,20,
2,1,
1,2,
9,8,
8,9,
7,5,
5,7,
6,5,
5,6,
5,4,
4,5,
5,3,
3,5
),,2,byrow=TRUE)
# aspect <- c(sapply(img, function(x) nrow(x)/ncol(x)),1)
size <- 1*c(rep(10,2),rep(8,5),rep(10,2),rep(25,1),rep(22,1),rep(20,2),rep(6,7))
shape <- c(rep("circle",2),rep("circle",5),rep("rectangle",6),rep("circle",7))
borders = c(rep("TRUE",3),"TRUE",rep("TRUE",5),rep("FALSE",4),rep("TRUE",7))
Layout <- matrix(c(
2,8,
2,3,
3,0,
3,3,
3,6,
3,9,
3,12,
1,11,
1,5,
3.8,12,
3.8,9,
3.8,6,
3.8,3,
1,0,
1.5,0,
2,0,
2.5,0,
1.5,12,
2,12,
2.5,12
),,2,byrow=TRUE)
eCol <- rep("black",nrow(E))
eCol[21:25] <- "grey"
e.weight <- rep(1, nrow(E))
e.weight[2:3]<- e.weight[16:20]<-2
indirect_eff_ADHD <- c(paste0("Ind BAS ",round(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2$std.all[26]*100,3) ,"%",
s_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[13,7], "\n",
"Ind G ",round(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2$std.all[25]*100,3) ,"%",
s_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[12,7]), ##label Ext
paste0("Ind BAS ",round(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2$std.all[30]*100,3) ,"%",
s_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[16,7], "\n",
"Ind G ",round(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2$std.all[29]*100,3) ,"%",
s_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[15,7]), ## label Neuro Dev
paste0("Ind G ",round(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2$std.all[33]*100,3) ,"%",
s_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[18,7]))
## light yellow for genetics, light blue for mediators, and light green for psychopathology
node.color <- rep("white",13); node.color[1:2]<-"lightblue1"; node.color[3:7]<-"darkseagreen1";node.color[8:9]<-"wheat1";node.color[14:20]<-"lightblue1";node.color[4] <- "darkseagreen1"
labels <- list(diag_var_list_BBG[9],
diag_var_list_BBG[10],
diag_var_list_BBG[18],
diag_var_list_BBG[17],
diag_var_list_BBG[16],
diag_var_list_BBG[15],
diag_var_list_BBG[14],
diag_var_list_BBG[12],
diag_var_list_BBG[13],
indirect_eff_ADHD[1],
indirect_eff_ADHD[2],
"",
indirect_eff_ADHD[3],
diag_var_list_BBG[4],
diag_var_list_BBG[5],
diag_var_list_BBG[6],
diag_var_list_BBG[7],
diag_var_list_BBG[1],
diag_var_list_BBG[2],
diag_var_list_BBG[3]
)
eLabs <- list(
"",
ax_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[7],
ax_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[5],
"",
"","","","","","","","","","","",
ax_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[8],
ax_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[6],
ax_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[4],
ax_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[11],
ax_ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2[10],
"","","","","","","","","","","","","","","","","","","","","","","",""
)
curve <- rep(0,nrow(E));curve[4:15]<-1;curve[10:11]<- curve[14:15]<-3;curve[35:36]<- 2;curve[36:44]<-1;curve[40:44]<-3
curve[10:11]<-2;curve[43:44]<-2;curve[4:5]<- 3;curve[38:39]<- 3
loopRot <- c(rep(0,2))
line.type <- rep(1,nrow(E));line.type[1]<-3
qgraph(E,edgelist = TRUE,
vsize = size, shape = shape ,
borders = borders, layout = Layout,
edge.color = eCol, asize = 3, labels = labels,
label.scale.equal = FALSE, bidirectional = TRUE,
mar = c(6,5,9,5), esize = 2, label.cex = 1,
edge.labels = eLabs, edge.label.cex = 1,
bg = "transparent", edge.label.bg = "white",
loopRotation = loopRot, curve = curve, curveAll=TRUE,
width = 8, height = 5,edge.width = e.weight,lty=line.type,color=node.color)
4 Session info
devtools::session_info()## ─ Session info ───────────────────────────────────────────
## setting value
## version R version 4.0.2 (2020-06-22)
## os macOS Mojave 10.14.6
## system x86_64, darwin17.0
## ui X11
## language (EN)
## collate en_NZ.UTF-8
## ctype en_NZ.UTF-8
## tz Pacific/Auckland
## date 2021-03-06
##
## ─ Packages ───────────────────────────────────────────────
## package * version date lib source
## abind 1.4-5 2016-07-21 [1] CRAN (R 4.0.0)
## acepack 1.4.1 2016-10-29 [1] CRAN (R 4.0.0)
## arm 1.11-1 2020-04-27 [1] CRAN (R 4.0.0)
## assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.0.0)
## backports 1.1.10 2020-09-15 [1] CRAN (R 4.0.2)
## base64enc 0.1-3 2015-07-28 [1] CRAN (R 4.0.0)
## BDgraph 2.62 2019-12-05 [1] CRAN (R 4.0.0)
## blob 1.2.1 2020-01-20 [1] CRAN (R 4.0.0)
## boot 1.3-25 2020-04-26 [1] CRAN (R 4.0.2)
## broom 0.7.1 2020-10-02 [1] CRAN (R 4.0.2)
## callr 3.4.4 2020-09-07 [1] CRAN (R 4.0.2)
## carData 3.0-4 2020-05-22 [1] CRAN (R 4.0.0)
## cellranger 1.1.0 2016-07-27 [1] CRAN (R 4.0.0)
## checkmate 2.0.0 2020-02-06 [1] CRAN (R 4.0.0)
## cli 2.0.2 2020-02-28 [1] CRAN (R 4.0.0)
## cluster 2.1.0 2019-06-19 [1] CRAN (R 4.0.2)
## coda 0.19-3 2019-07-05 [1] CRAN (R 4.0.0)
## codetools 0.2-16 2018-12-24 [1] CRAN (R 4.0.2)
## colorspace 1.4-1 2019-03-18 [1] CRAN (R 4.0.0)
## corpcor 1.6.9 2017-04-01 [1] CRAN (R 4.0.0)
## crayon 1.3.4 2017-09-16 [1] CRAN (R 4.0.0)
## d3Network 0.5.2.1 2015-01-31 [1] CRAN (R 4.0.0)
## data.table 1.12.8 2019-12-09 [1] CRAN (R 4.0.0)
## DBI 1.1.0 2019-12-15 [1] CRAN (R 4.0.0)
## dbplyr 1.4.4 2020-05-27 [1] CRAN (R 4.0.0)
## desc 1.2.0 2018-05-01 [1] CRAN (R 4.0.0)
## devtools 2.3.0 2020-04-10 [1] CRAN (R 4.0.0)
## digest 0.6.25 2020-02-23 [1] CRAN (R 4.0.0)
## dplyr * 1.0.2 2020-08-18 [1] CRAN (R 4.0.2)
## ellipsis 0.3.1 2020-05-15 [1] CRAN (R 4.0.0)
## emmeans 1.5.0 2020-08-18 [1] CRAN (R 4.0.2)
## estimability 1.3 2018-02-11 [1] CRAN (R 4.0.2)
## evaluate 0.14 2019-05-28 [1] CRAN (R 4.0.0)
## fansi 0.4.1 2020-01-08 [1] CRAN (R 4.0.0)
## farver 2.0.3 2020-01-16 [1] CRAN (R 4.0.0)
## fdrtool 1.2.15 2015-07-08 [1] CRAN (R 4.0.0)
## forcats * 0.5.0 2020-03-01 [1] CRAN (R 4.0.0)
## foreign 0.8-80 2020-05-24 [1] CRAN (R 4.0.2)
## Formula 1.2-3 2018-05-03 [1] CRAN (R 4.0.0)
## fs 1.4.2 2020-06-30 [1] CRAN (R 4.0.2)
## generics 0.0.2 2018-11-29 [1] CRAN (R 4.0.0)
## ggplot2 * 3.3.2 2020-06-19 [1] CRAN (R 4.0.2)
## glasso 1.11 2019-10-01 [1] CRAN (R 4.0.0)
## glue 1.4.2 2020-08-27 [1] CRAN (R 4.0.2)
## gridExtra 2.3 2017-09-09 [1] CRAN (R 4.0.0)
## gtable 0.3.0 2019-03-25 [1] CRAN (R 4.0.0)
## gtools 3.8.2 2020-03-31 [1] CRAN (R 4.0.0)
## haven 2.3.1 2020-06-01 [1] CRAN (R 4.0.0)
## highr 0.8 2019-03-20 [1] CRAN (R 4.0.0)
## Hmisc 4.4-0 2020-03-23 [1] CRAN (R 4.0.0)
## hms 0.5.3 2020-01-08 [1] CRAN (R 4.0.0)
## htmlTable 1.13.3 2019-12-04 [1] CRAN (R 4.0.0)
## htmltools 0.5.0 2020-06-16 [1] CRAN (R 4.0.2)
## htmlwidgets 1.5.1 2019-10-08 [1] CRAN (R 4.0.0)
## httr 1.4.2 2020-07-20 [1] CRAN (R 4.0.2)
## huge 1.3.4.1 2020-04-01 [1] CRAN (R 4.0.0)
## igraph 1.2.5 2020-03-19 [1] CRAN (R 4.0.0)
## jpeg 0.1-8.1 2019-10-24 [1] CRAN (R 4.0.0)
## jsonlite 1.7.0 2020-06-25 [1] CRAN (R 4.0.2)
## kableExtra 1.1.0 2019-03-16 [1] CRAN (R 4.0.0)
## knitr 1.29 2020-06-23 [1] CRAN (R 4.0.2)
## kutils 1.70 2020-04-29 [1] CRAN (R 4.0.0)
## labeling 0.3 2014-08-23 [1] CRAN (R 4.0.0)
## lattice 0.20-41 2020-04-02 [1] CRAN (R 4.0.2)
## latticeExtra 0.6-29 2019-12-19 [1] CRAN (R 4.0.0)
## lavaan 0.6-6 2020-05-13 [1] CRAN (R 4.0.0)
## lifecycle 0.2.0 2020-03-06 [1] CRAN (R 4.0.0)
## lisrelToR 0.1.4 2013-05-08 [1] CRAN (R 4.0.0)
## lme4 1.1-23 2020-04-07 [1] CRAN (R 4.0.0)
## lubridate 1.7.9 2020-06-08 [1] CRAN (R 4.0.2)
## magrittr 1.5 2014-11-22 [1] CRAN (R 4.0.0)
## MASS 7.3-51.6 2020-04-26 [1] CRAN (R 4.0.2)
## Matrix 1.2-18 2019-11-27 [1] CRAN (R 4.0.2)
## matrixcalc 1.0-3 2012-09-15 [1] CRAN (R 4.0.0)
## memoise 1.1.0 2017-04-21 [1] CRAN (R 4.0.0)
## mi 1.0 2015-04-16 [1] CRAN (R 4.0.0)
## minqa 1.2.4 2014-10-09 [1] CRAN (R 4.0.0)
## mnormt 1.5-7 2020-04-30 [1] CRAN (R 4.0.0)
## modelr 0.1.8 2020-05-19 [1] CRAN (R 4.0.0)
## multcomp 1.4-13 2020-04-08 [1] CRAN (R 4.0.0)
## munsell 0.5.0 2018-06-12 [1] CRAN (R 4.0.0)
## mvtnorm 1.1-1 2020-06-09 [1] CRAN (R 4.0.2)
## nlme 3.1-148 2020-05-24 [1] CRAN (R 4.0.2)
## nloptr 1.2.2.1 2020-03-11 [1] CRAN (R 4.0.0)
## nnet 7.3-14 2020-04-26 [1] CRAN (R 4.0.2)
## OpenMx 2.17.4 2020-06-07 [1] CRAN (R 4.0.0)
## openxlsx 4.1.5 2020-05-06 [1] CRAN (R 4.0.0)
## pander * 0.6.3 2018-11-06 [1] CRAN (R 4.0.0)
## pbapply 1.4-2 2019-08-31 [1] CRAN (R 4.0.0)
## pbivnorm 0.6.0 2015-01-23 [1] CRAN (R 4.0.0)
## pillar 1.4.6 2020-07-10 [1] CRAN (R 4.0.2)
## pkgbuild 1.1.0 2020-07-13 [1] CRAN (R 4.0.2)
## pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.0.0)
## pkgload 1.1.0 2020-05-29 [1] CRAN (R 4.0.0)
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## processx 3.4.4 2020-09-03 [1] CRAN (R 4.0.2)
## ps 1.3.4 2020-08-11 [1] CRAN (R 4.0.2)
## psych 1.9.12.31 2020-01-08 [1] CRAN (R 4.0.0)
## purrr * 0.3.4 2020-04-17 [1] CRAN (R 4.0.0)
## qgraph * 1.6.5 2020-02-21 [1] CRAN (R 4.0.0)
## R6 2.4.1 2019-11-12 [1] CRAN (R 4.0.0)
## RColorBrewer 1.1-2 2014-12-07 [1] CRAN (R 4.0.2)
## Rcpp 1.0.5 2020-07-06 [1] CRAN (R 4.0.2)
## readr * 1.3.1 2018-12-21 [1] CRAN (R 4.0.0)
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## remotes 2.2.0 2020-07-21 [1] CRAN (R 4.0.2)
## reprex 0.3.0 2019-05-16 [1] CRAN (R 4.0.0)
## reshape2 1.4.4 2020-04-09 [1] CRAN (R 4.0.0)
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## rockchalk 1.8.144 2019-03-08 [1] CRAN (R 4.0.0)
## rpart 4.1-15 2019-04-12 [1] CRAN (R 4.0.2)
## rprojroot 1.3-2 2018-01-03 [1] CRAN (R 4.0.0)
## Rsolnp 1.16 2015-12-28 [1] CRAN (R 4.0.0)
## rstudioapi 0.11 2020-02-07 [1] CRAN (R 4.0.0)
## rvest 0.3.5 2019-11-08 [1] CRAN (R 4.0.0)
## sandwich 2.5-1 2019-04-06 [1] CRAN (R 4.0.0)
## scales 1.1.1 2020-05-11 [1] CRAN (R 4.0.0)
## sem 3.1-11 2020-05-19 [1] CRAN (R 4.0.0)
## semPlot 1.1.2 2019-08-20 [1] CRAN (R 4.0.0)
## semTools 0.5-3 2020-05-27 [1] CRAN (R 4.0.0)
## sessioninfo 1.1.1 2018-11-05 [1] CRAN (R 4.0.0)
## statmod 1.4.34 2020-02-17 [1] CRAN (R 4.0.0)
## stringi 1.5.3 2020-09-09 [1] CRAN (R 4.0.2)
## stringr * 1.4.0 2019-02-10 [1] CRAN (R 4.0.0)
## survival 3.1-12 2020-04-10 [1] CRAN (R 4.0.2)
## testthat 2.3.2 2020-03-02 [1] CRAN (R 4.0.0)
## TH.data 1.0-10 2019-01-21 [1] CRAN (R 4.0.0)
## tibble * 3.0.3 2020-07-10 [1] CRAN (R 4.0.2)
## tidyr * 1.1.2 2020-08-27 [1] CRAN (R 4.0.2)
## tidyselect 1.1.0 2020-05-11 [1] CRAN (R 4.0.0)
## tidyverse * 1.3.0 2019-11-21 [1] CRAN (R 4.0.0)
## truncnorm 1.0-8 2018-02-27 [1] CRAN (R 4.0.0)
## usethis 1.6.1 2020-04-29 [1] CRAN (R 4.0.0)
## vctrs 0.3.4 2020-08-29 [1] CRAN (R 4.0.2)
## viridisLite 0.3.0 2018-02-01 [1] CRAN (R 4.0.0)
## webshot 0.5.2 2019-11-22 [1] CRAN (R 4.0.0)
## whisker 0.4 2019-08-28 [1] CRAN (R 4.0.0)
## withr 2.3.0 2020-09-22 [1] CRAN (R 4.0.2)
## xfun 0.15 2020-06-21 [1] CRAN (R 4.0.2)
## XML 3.99-0.3 2020-01-20 [1] CRAN (R 4.0.0)
## xml2 1.3.2 2020-04-23 [1] CRAN (R 4.0.0)
## xtable 1.8-4 2019-04-21 [1] CRAN (R 4.0.0)
## yaml 2.2.1 2020-02-01 [1] CRAN (R 4.0.0)
## zip 2.0.4 2019-09-01 [1] CRAN (R 4.0.0)
## zoo 1.8-8 2020-05-02 [1] CRAN (R 4.0.0)
##
## [1] /Library/Frameworks/R.framework/Versions/4.0/Resources/library