Motivation and Cognitive Abilities as Mediators between Polygenic Scores and Psychopathology in Children
Narun Pornpattananangkul
5/31/2020
1 Data and Library Preparation
1.1 Reset workspace and load libraries
This analysis uses ABCD Release 2.01
rm(list=ls())
gc()## used (Mb) gc trigger (Mb) limit (Mb) max used
## Ncells 2271994 121.4 4807508 256.8 NA 2567992
## Vcells 3799206 29.0 8388608 64.0 16384 6314213
## (Mb)
## Ncells 137.2
## Vcells 48.2library(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"))
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))
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))1.5 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")1.6 Load the PS QC variables
need to exclude participants with
1) sex mismatch
2) plate 461
3) non-EU
4) 111 incorrect participants
genetic111 <- tbl_df(read.csv(genetic111File)) %>%
rename(SUBJECTKEY = x) %>%
mutate(genetic111 = 1)
PRSQc <- tbl_df(read.csv(paste0(prsDataFold ,"abcd-release-2.0.1-r1.1_fam_gender_batch.csv"))) %>%
rename(SUBJECTKEY = iid)
EUNotReleated <- tbl_df(read.table(paste0(prsDataFold, "bim2unrelated/abcd-release-2.0.1-r1.1-eur-qc-v9/abcd-release-2.0.1-r1.1-eur-qc-v9_bim2unrelated.keep"))) %>%
rename(fid_EUUnrelated = V1) %>%
rename(SUBJECTKEY = V2) %>%
mutate(EuNotRelated = 1)
PRSQcEuNotRelated <- plyr::join_all(list(genetic111,PRSQc,EUNotReleated), by='SUBJECTKEY', type='full') %>% mutate(genetic111 = replace_na(genetic111, 0))
PRSQcEuNotRelated %>%count(genetic111 ==0,EuNotRelated==1,mismatch==0,batch!=461) %>% knitr::kable()| genetic111 == 0 | EuNotRelated == 1 | mismatch == 0 | batch != 461 | n |
|---|---|---|---|---|
| FALSE | TRUE | FALSE | TRUE | 2 |
| FALSE | TRUE | TRUE | FALSE | 1 |
| FALSE | TRUE | TRUE | TRUE | 40 |
| FALSE | NA | FALSE | TRUE | 5 |
| FALSE | NA | TRUE | TRUE | 63 |
| TRUE | TRUE | FALSE | TRUE | 6 |
| TRUE | TRUE | TRUE | FALSE | 29 |
| TRUE | TRUE | TRUE | TRUE | 4439 |
| TRUE | NA | FALSE | FALSE | 3 |
| TRUE | NA | FALSE | TRUE | 193 |
| TRUE | NA | TRUE | FALSE | 23 |
| TRUE | NA | TRUE | TRUE | 5822 |
finalParticipantNum <- PRSQcEuNotRelated %>%filter(genetic111 ==0 & EuNotRelated==1 & mismatch==0 & batch!=461) %>% nrow() We have 4439 participants left.
1.7 Load PS scores
wrayMDD <- tbl_df(read.table(paste0(prsScoreFold,"wray-ripke-mattheisen-2018-mdd-gwas/abcd-release-2.0.1-r1.1-eur-qc-v9-genotypes-wray-ripke-mattheisen-2018-mdd-gwas-profiles.csv"),header = TRUE)) %>% rename(SUBJECTKEY = iid)
otowaAnx <- tbl_df(read.table(paste0(prsScoreFold,"otowa-hek-lee-2016-anxiety-caco-gwas/abcd-release-2.0.1-r1.1-eur-qc-v9-genotypes-otowa-hek-lee-2016-anxiety-caco-gwas-profiles.csv"),header = TRUE)) %>% rename(SUBJECTKEY = iid)
ruderferBIP <- tbl_df(read.table(paste0(prsScoreFold,"ruderfer-ripke-mcquillan-2018-bip-gwas/abcd-release-2.0.1-r1.1-eur-qc-v9-genotypes-ruderfer-ripke-mcquillan-2018-bip-gwas-profiles.csv"),header = TRUE)) %>% rename(SUBJECTKEY = iid)
demontisADHD <- tbl_df(read.table(paste0(prsScoreFold,"demontis-walters-martin-2017-eur-adhd-gwas/abcd-release-2.0.1-r1.1-eur-qc-v9-genotypes-demontis-walters-martin-2017-eur-adhd-gwas-profiles.csv"),header = TRUE)) %>% rename(SUBJECTKEY = iid)
pardinasScz <- tbl_df(read.table(paste0(prsScoreFold,"pardinas-holmans-pocklington-2016-scz-gwas/abcd-release-2.0.1-r1.1-eur-qc-v9-genotypes-pardinas-holmans-pocklington-2016-scz-gwas-profiles.csv"),header = TRUE)) %>% rename(SUBJECTKEY = iid)
groveAls <- tbl_df(read.table(paste0(prsScoreFold,"grove-ripke-als-2017-eur-asd-gwas/abcd-release-2.0.1-r1.1-eur-qc-v9-genotypes-grove-ripke-als-2017-eur-asd-gwas-profiles.csv"),header = TRUE)) %>% rename(SUBJECTKEY = iid)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(genetic111 ==0,EuNotRelated==1,mismatch==0,batch!=461)
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)1.9 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 61 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of free parameters 212
##
## Used Total
## Number of observations 4438 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 14024.740 10044.535
## Degrees of freedom 2272 2272
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.589
## Shift parameter 1220.182
## simple second-order correction
##
## Model Test Baseline Model:
##
## Test statistic 371825.293 103901.316
## Degrees of freedom 2346 2346
## P-value 0.000 0.000
## Scaling correction factor 3.638
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.968 0.923
## Tucker-Lewis Index (TLI) 0.967 0.921
##
## 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 0.034 0.027
## 90 Percent confidence interval - upper 0.035 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 0.083 0.083
##
## 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 32.471 0.000
## CBCL_Q109_P 0.821 0.020 40.511 0.000
## CBCL_Q15_P 0.857 0.059 14.578 0.000
## CBCL_Q16_P 0.932 0.027 35.134 0.000
## CBCL_Q19_P 0.941 0.019 48.717 0.000
## CBCL_Q26_P 0.889 0.024 36.823 0.000
## CBCL_Q27_P 0.908 0.021 44.223 0.000
## CBCL_Q34_P 0.898 0.033 27.470 0.000
## CBCL_Q37_P 1.011 0.034 29.837 0.000
## CBCL_Q39_P 0.685 0.034 20.076 0.000
## CBCL_Q43_P 0.897 0.020 44.153 0.000
## CBCL_Q67_P 0.997 0.076 13.036 0.000
## CBCL_Q68_P 0.988 0.022 45.228 0.000
## CBCL_Q72_P 0.598 0.077 7.746 0.000
## CBCL_Q74_P 0.722 0.022 33.194 0.000
## CBCL_Q86_P 1.007 0.016 61.290 0.000
## CBCL_Q87_P 0.998 0.020 50.461 0.000
## CBCL_Q88_P 0.953 0.022 42.663 0.000
## CBCL_Q89_P 0.990 0.038 26.081 0.000
## CBCL_Q90_P 0.745 0.033 22.295 0.000
## CBCL_Q94_P 0.776 0.028 27.575 0.000
## CBCL_Q95_P 0.985 0.017 59.018 0.000
## CBCL_Q96_P 0.775 0.068 11.327 0.000
## Com1_Attack 0.962 0.026 36.987 0.000
## Com2_Destroy 0.970 0.031 31.768 0.000
## Com3_Disobeys 1.024 0.017 58.651 0.000
## Com4_Steals 0.896 0.034 26.073 0.000
## Com5_Peer 0.956 0.023 41.121 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.121 0.032 34.609 0.000
## CBCL_Q09_P 1.132 0.034 33.693 0.000
## CBCL_Q13_P 1.073 0.045 23.938 0.000
## CBCL_Q17_P 0.875 0.034 25.935 0.000
## CBCL_Q36_P 0.841 0.035 23.904 0.000
## CBCL_Q46_P 0.963 0.040 24.208 0.000
## CBCL_Q61_P 1.070 0.037 29.293 0.000
## CBCL_Q62_P 1.002 0.035 28.393 0.000
## CBCL_Q64_P 0.902 0.036 25.291 0.000
## CBCL_Q66_P 1.081 0.044 24.451 0.000
## CBCL_Q80_P 1.048 0.040 26.272 0.000
## CBCL_Q85_P 1.060 0.044 23.943 0.000
## CBCL_Q93_P 0.905 0.032 27.890 0.000
## Com6_Distractd 1.200 0.033 36.470 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.987 0.031 32.140 0.000
## CBCL_Q29_P 0.785 0.028 28.274 0.000
## CBCL_Q30_P 0.883 0.044 20.008 0.000
## CBCL_Q31_P 0.863 0.033 26.312 0.000
## CBCL_Q32_P 0.657 0.025 26.187 0.000
## CBCL_Q35_P 1.036 0.026 40.069 0.000
## CBCL_Q45_P 1.066 0.023 46.019 0.000
## CBCL_Q50_P 1.043 0.020 50.971 0.000
## CBCL_Q52_P 0.879 0.033 26.635 0.000
## CBCL_Q71_P 0.909 0.022 40.647 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 0.968 0.077 12.654 0.000
## CBCL_Q56B_P 0.879 0.067 13.143 0.000
## CBCL_Q56C_P 1.248 0.086 14.450 0.000
## CBCL_Q56D_P 0.697 0.083 8.369 0.000
## CBCL_Q56E_P 0.597 0.062 9.597 0.000
## CBCL_Q56F_P 1.134 0.076 14.847 0.000
## CBCL_Q56G_P 0.786 0.078 10.024 0.000
## CBCL_Q56H_P 0.983 0.105 9.375 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.145 0.049 23.458 0.000
## CBCL_Q42_P 0.830 0.040 20.767 0.000
## CBCL_Q65_P 1.036 0.052 19.925 0.000
## CBCL_Q75_P 0.784 0.041 19.095 0.000
## P =~
## Ext 0.630 0.012 53.926 0.000
## NDe 0.591 0.017 35.153 0.000
## Int 0.596 0.013 44.331 0.000
## Som 0.392 0.029 13.685 0.000
## Det 0.575 0.025 22.734 0.000
## Std.lv Std.all
##
## 0.780 0.780
## 0.558 0.558
## 0.640 0.640
## 0.668 0.668
## 0.727 0.727
## 0.734 0.734
## 0.693 0.693
## 0.708 0.708
## 0.700 0.700
## 0.788 0.788
## 0.534 0.534
## 0.699 0.699
## 0.777 0.777
## 0.770 0.770
## 0.466 0.466
## 0.563 0.563
## 0.785 0.785
## 0.778 0.778
## 0.743 0.743
## 0.771 0.771
## 0.581 0.581
## 0.605 0.605
## 0.768 0.768
## 0.604 0.604
## 0.750 0.750
## 0.756 0.756
## 0.798 0.798
## 0.698 0.698
## 0.745 0.745
##
## 0.669 0.669
## 0.750 0.750
## 0.757 0.757
## 0.718 0.718
## 0.586 0.586
## 0.562 0.562
## 0.645 0.645
## 0.716 0.716
## 0.670 0.670
## 0.603 0.603
## 0.723 0.723
## 0.701 0.701
## 0.709 0.709
## 0.606 0.606
## 0.803 0.803
##
## 0.769 0.769
## 0.759 0.759
## 0.603 0.603
## 0.679 0.679
## 0.664 0.664
## 0.505 0.505
## 0.796 0.796
## 0.820 0.820
## 0.802 0.802
## 0.676 0.676
## 0.699 0.699
##
## 0.683 0.683
## 0.661 0.661
## 0.600 0.600
## 0.852 0.852
## 0.476 0.476
## 0.408 0.408
## 0.775 0.775
## 0.537 0.537
## 0.671 0.671
##
## 0.763 0.763
## 0.874 0.874
## 0.634 0.634
## 0.791 0.791
## 0.599 0.599
##
## 0.809 0.809
## 0.883 0.883
## 0.775 0.775
## 0.574 0.574
## 0.753 0.753
##
## 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 0.109 0.019 5.792 0.000
## CBCL_Q03_P|t2 1.362 0.027 50.906 0.000
## CBCL_Q07_P|t1 0.616 0.020 30.554 0.000
## CBCL_Q07_P|t2 2.021 0.042 47.884 0.000
## CBCL_Q109_P|t1 0.523 0.020 26.426 0.000
## CBCL_Q109_P|t2 1.948 0.040 49.047 0.000
## CBCL_Q15_P|t1 2.374 0.059 40.339 0.000
## CBCL_Q15_P|t2 3.320 0.197 16.817 0.000
## CBCL_Q16_P|t1 1.451 0.028 51.600 0.000
## CBCL_Q16_P|t2 2.756 0.091 30.413 0.000
## CBCL_Q19_P|t1 0.769 0.021 36.663 0.000
## CBCL_Q19_P|t2 1.771 0.035 51.123 0.000
## CBCL_Q26_P|t1 1.221 0.025 49.003 0.000
## CBCL_Q26_P|t2 2.266 0.053 42.918 0.000
## CBCL_Q27_P|t1 0.789 0.021 37.365 0.000
## CBCL_Q27_P|t2 1.941 0.039 49.157 0.000
## CBCL_Q34_P|t1 1.613 0.031 51.925 0.000
## CBCL_Q34_P|t2 2.687 0.083 32.231 0.000
## CBCL_Q37_P|t1 1.933 0.039 49.264 0.000
## CBCL_Q37_P|t2 3.000 0.124 24.132 0.000
## CBCL_Q39_P|t1 1.531 0.029 51.913 0.000
## CBCL_Q39_P|t2 2.687 0.083 32.231 0.000
## CBCL_Q43_P|t1 0.739 0.021 35.503 0.000
## CBCL_Q43_P|t2 2.128 0.046 45.902 0.000
## CBCL_Q67_P|t1 2.629 0.078 33.768 0.000
## CBCL_Q67_P|t2 3.508 0.266 13.190 0.000
## CBCL_Q68_P|t1 1.269 0.025 49.753 0.000
## CBCL_Q68_P|t2 2.211 0.050 44.160 0.000
## CBCL_Q72_P|t1 2.647 0.080 33.282 0.000
## CBCL_Q72_P|t2 3.508 0.266 13.190 0.000
## CBCL_Q74_P|t1 0.568 0.020 28.453 0.000
## CBCL_Q74_P|t2 1.825 0.036 50.615 0.000
## CBCL_Q86_P|t1 0.387 0.019 20.030 0.000
## CBCL_Q86_P|t2 1.739 0.034 51.367 0.000
## CBCL_Q87_P|t1 0.867 0.022 40.076 0.000
## CBCL_Q87_P|t2 2.021 0.042 47.884 0.000
## CBCL_Q88_P|t1 1.101 0.024 46.640 0.000
## CBCL_Q88_P|t2 2.218 0.050 44.016 0.000
## CBCL_Q89_P|t1 1.930 0.039 49.316 0.000
## CBCL_Q89_P|t2 2.756 0.091 30.413 0.000
## CBCL_Q90_P|t1 1.546 0.030 51.938 0.000
## CBCL_Q90_P|t2 2.394 0.060 39.859 0.000
## CBCL_Q94_P|t1 1.281 0.026 49.935 0.000
## CBCL_Q94_P|t2 2.435 0.063 38.812 0.000
## CBCL_Q95_P|t1 0.616 0.020 30.525 0.000
## CBCL_Q95_P|t2 1.771 0.035 51.123 0.000
## CBCL_Q96_P|t1 2.494 0.067 37.303 0.000
## CBCL_Q96_P|t2 3.320 0.197 16.817 0.000
## Com1_Attack|t1 1.490 0.029 51.793 0.000
## Com1_Attack|t2 2.874 0.105 27.320 0.000
## Com2_Destry|t1 1.704 0.033 51.588 0.000
## Com2_Destry|t2 3.000 0.124 24.132 0.000
## Com3_Disbys|t1 0.752 0.021 36.014 0.000
## Com3_Disbys|t2 2.365 0.058 40.569 0.000
## Com4_Steals|t1 1.714 0.033 51.531 0.000
## Com4_Steals|t2 2.952 0.117 25.315 0.000
## Com5_Peer|t1 1.118 0.024 47.011 0.000
## Com5_Peer|t2 2.458 0.064 38.238 0.000
## CBCL_Q01_P|t1 0.801 0.021 37.813 0.000
## CBCL_Q01_P|t2 1.992 0.041 48.377 0.000
## CBCL_Q04_P|t1 0.237 0.019 12.476 0.000
## CBCL_Q04_P|t2 1.598 0.031 51.945 0.000
## CBCL_Q09_P|t1 0.624 0.020 30.874 0.000
## CBCL_Q09_P|t2 1.685 0.033 51.688 0.000
## CBCL_Q13_P|t1 1.678 0.032 51.720 0.000
## CBCL_Q13_P|t2 2.534 0.070 36.264 0.000
## CBCL_Q17_P|t1 0.573 0.020 28.658 0.000
## CBCL_Q17_P|t2 1.779 0.035 51.053 0.000
## CBCL_Q36_P|t1 1.008 0.023 44.321 0.000
## CBCL_Q36_P|t2 2.057 0.044 47.248 0.000
## CBCL_Q46_P|t1 1.270 0.026 49.772 0.000
## CBCL_Q46_P|t2 2.117 0.046 46.115 0.000
## CBCL_Q61_P|t1 1.202 0.025 48.677 0.000
## CBCL_Q61_P|t2 2.218 0.050 44.016 0.000
## CBCL_Q62_P|t1 1.198 0.025 48.614 0.000
## CBCL_Q62_P|t2 2.150 0.047 45.451 0.000
## CBCL_Q64_P|t1 1.009 0.023 44.347 0.000
## CBCL_Q64_P|t2 2.173 0.048 44.964 0.000
## CBCL_Q66_P|t1 1.569 0.030 51.956 0.000
## CBCL_Q66_P|t2 2.305 0.055 42.022 0.000
## CBCL_Q80_P|t1 1.422 0.028 51.416 0.000
## CBCL_Q80_P|t2 2.534 0.070 36.264 0.000
## CBCL_Q85_P|t1 1.537 0.030 51.924 0.000
## CBCL_Q85_P|t2 2.708 0.086 31.661 0.000
## CBCL_Q93_P|t1 0.623 0.020 30.845 0.000
## CBCL_Q93_P|t2 1.669 0.032 51.760 0.000
## Cm6_Dstrctd|t1 0.335 0.019 17.468 0.000
## Cm6_Dstrctd|t2 1.533 0.030 51.917 0.000
## CBCL_Q112_P|t1 0.273 0.019 14.302 0.000
## CBCL_Q112_P|t2 1.647 0.032 51.842 0.000
## CBCL_Q12_P|t1 1.192 0.025 48.489 0.000
## CBCL_Q12_P|t2 2.274 0.053 42.747 0.000
## CBCL_Q29_P|t1 0.884 0.022 40.646 0.000
## CBCL_Q29_P|t2 2.086 0.045 46.711 0.000
## CBCL_Q30_P|t1 1.734 0.034 51.402 0.000
## CBCL_Q30_P|t2 2.687 0.083 32.231 0.000
## CBCL_Q31_P|t1 1.360 0.027 50.877 0.000
## CBCL_Q31_P|t2 2.507 0.068 36.969 0.000
## CBCL_Q32_P|t1 0.480 0.020 24.479 0.000
## CBCL_Q32_P|t2 1.674 0.032 51.741 0.000
## CBCL_Q35_P|t1 1.064 0.023 45.759 0.000
## CBCL_Q35_P|t2 2.321 0.056 41.633 0.000
## CBCL_Q45_P|t1 0.813 0.021 38.230 0.000
## CBCL_Q45_P|t2 1.987 0.041 48.443 0.000
## CBCL_Q50_P|t1 0.715 0.021 34.592 0.000
## CBCL_Q50_P|t2 1.891 0.038 49.838 0.000
## CBCL_Q52_P|t1 1.430 0.028 51.470 0.000
## CBCL_Q52_P|t2 2.494 0.067 37.303 0.000
## CBCL_Q71_P|t1 0.117 0.019 6.183 0.000
## CBCL_Q71_P|t2 1.510 0.029 51.859 0.000
## CBCL_Q51_P|t1 1.737 0.034 51.384 0.000
## CBCL_Q51_P|t2 2.911 0.110 26.369 0.000
## CBCL_Q56A_P|t1 0.948 0.022 42.646 0.000
## CBCL_Q56A_P|t2 2.186 0.049 44.707 0.000
## CBCL_Q56B_P|t1 0.583 0.020 29.096 0.000
## CBCL_Q56B_P|t2 2.039 0.043 47.577 0.000
## CBCL_Q56C_P|t1 1.077 0.023 46.072 0.000
## CBCL_Q56C_P|t2 2.347 0.057 41.011 0.000
## CBCL_Q56D_P|t1 1.885 0.038 49.923 0.000
## CBCL_Q56D_P|t2 2.579 0.073 35.096 0.000
## CBCL_Q56E_P|t1 1.073 0.023 45.976 0.000
## CBCL_Q56E_P|t2 2.139 0.047 45.680 0.000
## CBCL_Q56F_P|t1 0.717 0.021 34.649 0.000
## CBCL_Q56F_P|t2 2.086 0.045 46.711 0.000
## CBCL_Q56G_P|t1 1.729 0.034 51.436 0.000
## CBCL_Q56G_P|t2 3.000 0.124 24.132 0.000
## CBCL_Q56H_P|t1 1.983 0.041 48.508 0.000
## CBCL_Q56H_P|t2 2.708 0.086 31.661 0.000
## CBCL_Q102_P|t1 1.520 0.029 51.889 0.000
## CBCL_Q102_P|t2 2.534 0.070 36.264 0.000
## CBCL_Q111_P|t1 1.544 0.030 51.935 0.000
## CBCL_Q111_P|t2 2.731 0.088 31.057 0.000
## CBCL_Q42_P|t1 0.948 0.022 42.646 0.000
## CBCL_Q42_P|t2 2.224 0.051 43.869 0.000
## CBCL_Q65_P|t1 1.455 0.028 51.628 0.000
## CBCL_Q65_P|t2 2.549 0.071 35.890 0.000
## CBCL_Q75_P|t1 0.862 0.022 39.939 0.000
## CBCL_Q75_P|t2 2.043 0.043 47.497 0.000
## Std.lv Std.all
## 0.109 0.109
## 1.362 1.362
## 0.616 0.616
## 2.021 2.021
## 0.523 0.523
## 1.948 1.948
## 2.374 2.374
## 3.320 3.320
## 1.451 1.451
## 2.756 2.756
## 0.769 0.769
## 1.771 1.771
## 1.221 1.221
## 2.266 2.266
## 0.789 0.789
## 1.941 1.941
## 1.613 1.613
## 2.687 2.687
## 1.933 1.933
## 3.000 3.000
## 1.531 1.531
## 2.687 2.687
## 0.739 0.739
## 2.128 2.128
## 2.629 2.629
## 3.508 3.508
## 1.269 1.269
## 2.211 2.211
## 2.647 2.647
## 3.508 3.508
## 0.568 0.568
## 1.825 1.825
## 0.387 0.387
## 1.739 1.739
## 0.867 0.867
## 2.021 2.021
## 1.101 1.101
## 2.218 2.218
## 1.930 1.930
## 2.756 2.756
## 1.546 1.546
## 2.394 2.394
## 1.281 1.281
## 2.435 2.435
## 0.616 0.616
## 1.771 1.771
## 2.494 2.494
## 3.320 3.320
## 1.490 1.490
## 2.874 2.874
## 1.704 1.704
## 3.000 3.000
## 0.752 0.752
## 2.365 2.365
## 1.714 1.714
## 2.952 2.952
## 1.118 1.118
## 2.458 2.458
## 0.801 0.801
## 1.992 1.992
## 0.237 0.237
## 1.598 1.598
## 0.624 0.624
## 1.685 1.685
## 1.678 1.678
## 2.534 2.534
## 0.573 0.573
## 1.779 1.779
## 1.008 1.008
## 2.057 2.057
## 1.270 1.270
## 2.117 2.117
## 1.202 1.202
## 2.218 2.218
## 1.198 1.198
## 2.150 2.150
## 1.009 1.009
## 2.173 2.173
## 1.569 1.569
## 2.305 2.305
## 1.422 1.422
## 2.534 2.534
## 1.537 1.537
## 2.708 2.708
## 0.623 0.623
## 1.669 1.669
## 0.335 0.335
## 1.533 1.533
## 0.273 0.273
## 1.647 1.647
## 1.192 1.192
## 2.274 2.274
## 0.884 0.884
## 2.086 2.086
## 1.734 1.734
## 2.687 2.687
## 1.360 1.360
## 2.507 2.507
## 0.480 0.480
## 1.674 1.674
## 1.064 1.064
## 2.321 2.321
## 0.813 0.813
## 1.987 1.987
## 0.715 0.715
## 1.891 1.891
## 1.430 1.430
## 2.494 2.494
## 0.117 0.117
## 1.510 1.510
## 1.737 1.737
## 2.911 2.911
## 0.948 0.948
## 2.186 2.186
## 0.583 0.583
## 2.039 2.039
## 1.077 1.077
## 2.347 2.347
## 1.885 1.885
## 2.579 2.579
## 1.073 1.073
## 2.139 2.139
## 0.717 0.717
## 2.086 2.086
## 1.729 1.729
## 3.000 3.000
## 1.983 1.983
## 2.708 2.708
## 1.520 1.520
## 2.534 2.534
## 1.544 1.544
## 2.731 2.731
## 0.948 0.948
## 2.224 2.224
## 1.455 1.455
## 2.549 2.549
## 0.862 0.862
## 2.043 2.043
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## P 1.000
## .CBCL_Q03_P 0.392
## .CBCL_Q07_P 0.688
## .CBCL_Q109_P 0.591
## .CBCL_Q15_P 0.553
## .CBCL_Q16_P 0.472
## .CBCL_Q19_P 0.462
## .CBCL_Q26_P 0.519
## .CBCL_Q27_P 0.499
## .CBCL_Q34_P 0.510
## .CBCL_Q37_P 0.379
## .CBCL_Q39_P 0.715
## .CBCL_Q43_P 0.511
## .CBCL_Q67_P 0.396
## .CBCL_Q68_P 0.407
## .CBCL_Q72_P 0.783
## .CBCL_Q74_P 0.684
## .CBCL_Q86_P 0.384
## .CBCL_Q87_P 0.395
## .CBCL_Q88_P 0.448
## .CBCL_Q89_P 0.405
## .CBCL_Q90_P 0.663
## .CBCL_Q94_P 0.634
## .CBCL_Q95_P 0.410
## .CBCL_Q96_P 0.635
## .Com1_Attack 0.438
## .Com2_Destroy 0.429
## .Com3_Disobeys 0.363
## .Com4_Steals 0.512
## .Com5_Peer 0.445
## .CBCL_Q01_P 0.552
## .CBCL_Q04_P 0.437
## .CBCL_Q09_P 0.426
## .CBCL_Q13_P 0.484
## .CBCL_Q17_P 0.657
## .CBCL_Q36_P 0.684
## .CBCL_Q46_P 0.585
## .CBCL_Q61_P 0.488
## .CBCL_Q62_P 0.551
## .CBCL_Q64_P 0.636
## .CBCL_Q66_P 0.477
## .CBCL_Q80_P 0.508
## .CBCL_Q85_P 0.497
## .CBCL_Q93_P 0.633
## .Com6_Distractd 0.355
## .CBCL_Q112_P 0.409
## .CBCL_Q12_P 0.425
## .CBCL_Q29_P 0.636
## .CBCL_Q30_P 0.539
## .CBCL_Q31_P 0.559
## .CBCL_Q32_P 0.745
## .CBCL_Q35_P 0.366
## .CBCL_Q45_P 0.328
## .CBCL_Q50_P 0.357
## .CBCL_Q52_P 0.543
## .CBCL_Q71_P 0.511
## .CBCL_Q51_P 0.534
## .CBCL_Q56A_P 0.563
## .CBCL_Q56B_P 0.639
## .CBCL_Q56C_P 0.274
## .CBCL_Q56D_P 0.773
## .CBCL_Q56E_P 0.834
## .CBCL_Q56F_P 0.400
## .CBCL_Q56G_P 0.712
## .CBCL_Q56H_P 0.550
## .CBCL_Q102_P 0.417
## .CBCL_Q111_P 0.235
## .CBCL_Q42_P 0.598
## .CBCL_Q65_P 0.375
## .CBCL_Q75_P 0.642
## .Ext 0.210 0.011 18.552 0.000
## .NDe 0.098 0.009 10.732 0.000
## .Int 0.236 0.013 18.492 0.000
## .Som 0.313 0.041 7.663 0.000
## .Det 0.252 0.022 11.217 0.000
## Std.lv Std.all
## 1.000 1.000
## 0.392 0.392
## 0.688 0.688
## 0.591 0.591
## 0.553 0.553
## 0.472 0.472
## 0.462 0.462
## 0.519 0.519
## 0.499 0.499
## 0.510 0.510
## 0.379 0.379
## 0.715 0.715
## 0.511 0.511
## 0.396 0.396
## 0.407 0.407
## 0.783 0.783
## 0.684 0.684
## 0.384 0.384
## 0.395 0.395
## 0.448 0.448
## 0.405 0.405
## 0.663 0.663
## 0.634 0.634
## 0.410 0.410
## 0.635 0.635
## 0.438 0.438
## 0.429 0.429
## 0.363 0.363
## 0.512 0.512
## 0.445 0.445
## 0.552 0.552
## 0.437 0.437
## 0.426 0.426
## 0.484 0.484
## 0.657 0.657
## 0.684 0.684
## 0.585 0.585
## 0.488 0.488
## 0.551 0.551
## 0.636 0.636
## 0.477 0.477
## 0.508 0.508
## 0.497 0.497
## 0.633 0.633
## 0.355 0.355
## 0.409 0.409
## 0.425 0.425
## 0.636 0.636
## 0.539 0.539
## 0.559 0.559
## 0.745 0.745
## 0.366 0.366
## 0.328 0.328
## 0.357 0.357
## 0.543 0.543
## 0.511 0.511
## 0.534 0.534
## 0.563 0.563
## 0.639 0.639
## 0.274 0.274
## 0.773 0.773
## 0.834 0.834
## 0.400 0.400
## 0.712 0.712
## 0.550 0.550
## 0.417 0.417
## 0.235 0.235
## 0.598 0.598
## 0.375 0.375
## 0.642 0.642
## 0.346 0.346
## 0.220 0.220
## 0.400 0.400
## 0.671 0.671
## 0.433 0.433
##
## 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 0.608
## CBCL_Q07_P 0.312
## CBCL_Q109_P 0.409
## CBCL_Q15_P 0.447
## CBCL_Q16_P 0.528
## CBCL_Q19_P 0.538
## CBCL_Q26_P 0.481
## CBCL_Q27_P 0.501
## CBCL_Q34_P 0.490
## CBCL_Q37_P 0.621
## CBCL_Q39_P 0.285
## CBCL_Q43_P 0.489
## CBCL_Q67_P 0.604
## CBCL_Q68_P 0.593
## CBCL_Q72_P 0.217
## CBCL_Q74_P 0.316
## CBCL_Q86_P 0.616
## CBCL_Q87_P 0.605
## CBCL_Q88_P 0.552
## CBCL_Q89_P 0.595
## CBCL_Q90_P 0.337
## CBCL_Q94_P 0.366
## CBCL_Q95_P 0.590
## CBCL_Q96_P 0.365
## Com1_Attack 0.562
## Com2_Destroy 0.571
## Com3_Disobeys 0.637
## Com4_Steals 0.488
## Com5_Peer 0.555
## CBCL_Q01_P 0.448
## CBCL_Q04_P 0.563
## CBCL_Q09_P 0.574
## CBCL_Q13_P 0.516
## CBCL_Q17_P 0.343
## CBCL_Q36_P 0.316
## CBCL_Q46_P 0.415
## CBCL_Q61_P 0.512
## CBCL_Q62_P 0.449
## CBCL_Q64_P 0.364
## CBCL_Q66_P 0.523
## CBCL_Q80_P 0.492
## CBCL_Q85_P 0.503
## CBCL_Q93_P 0.367
## Com6_Distractd 0.645
## CBCL_Q112_P 0.591
## CBCL_Q12_P 0.575
## CBCL_Q29_P 0.364
## CBCL_Q30_P 0.461
## CBCL_Q31_P 0.441
## CBCL_Q32_P 0.255
## CBCL_Q35_P 0.634
## CBCL_Q45_P 0.672
## CBCL_Q50_P 0.643
## CBCL_Q52_P 0.457
## CBCL_Q71_P 0.489
## CBCL_Q51_P 0.466
## CBCL_Q56A_P 0.437
## CBCL_Q56B_P 0.361
## CBCL_Q56C_P 0.726
## CBCL_Q56D_P 0.227
## CBCL_Q56E_P 0.166
## CBCL_Q56F_P 0.600
## CBCL_Q56G_P 0.288
## CBCL_Q56H_P 0.450
## CBCL_Q102_P 0.583
## CBCL_Q111_P 0.765
## CBCL_Q42_P 0.402
## CBCL_Q65_P 0.625
## CBCL_Q75_P 0.358
## Ext 0.654
## NDe 0.780
## Int 0.600
## Som 0.329
## Det 0.567knitr::kable(lavaan::standardizedSolution(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")| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Ext | =~ | CBCL_Q03_P | 0.7795408 | 0.0098507 | 79.135491 | 0.0000000 | 0.7602338 | 0.7988478 |
| 2 | Ext | =~ | CBCL_Q07_P | 0.5581684 | 0.0165296 | 33.767795 | 0.0000000 | 0.5257709 | 0.5905658 |
| 3 | Ext | =~ | CBCL_Q109_P | 0.6397240 | 0.0146040 | 43.804638 | 0.0000000 | 0.6111006 | 0.6683473 |
| 4 | Ext | =~ | CBCL_Q15_P | 0.6683359 | 0.0451481 | 14.803187 | 0.0000000 | 0.5798473 | 0.7568246 |
| 5 | Ext | =~ | CBCL_Q16_P | 0.7266445 | 0.0190047 | 38.235024 | 0.0000000 | 0.6893960 | 0.7638929 |
| 6 | Ext | =~ | CBCL_Q19_P | 0.7336112 | 0.0134992 | 54.344961 | 0.0000000 | 0.7071533 | 0.7600691 |
| 7 | Ext | =~ | CBCL_Q26_P | 0.6932922 | 0.0177348 | 39.092164 | 0.0000000 | 0.6585326 | 0.7280518 |
| 8 | Ext | =~ | CBCL_Q27_P | 0.7077144 | 0.0142030 | 49.828463 | 0.0000000 | 0.6798770 | 0.7355518 |
| 9 | Ext | =~ | CBCL_Q34_P | 0.7002689 | 0.0234096 | 29.913804 | 0.0000000 | 0.6543870 | 0.7461508 |
| 10 | Ext | =~ | CBCL_Q37_P | 0.7881100 | 0.0245403 | 32.114969 | 0.0000000 | 0.7400120 | 0.8362081 |
| 11 | Ext | =~ | CBCL_Q39_P | 0.5336537 | 0.0260795 | 20.462573 | 0.0000000 | 0.4825388 | 0.5847686 |
| 12 | Ext | =~ | CBCL_Q43_P | 0.6991566 | 0.0141269 | 49.491012 | 0.0000000 | 0.6714683 | 0.7268449 |
| 13 | Ext | =~ | CBCL_Q67_P | 0.7772647 | 0.0584460 | 13.298843 | 0.0000000 | 0.6627125 | 0.8918168 |
| 14 | Ext | =~ | CBCL_Q68_P | 0.7701356 | 0.0151477 | 50.841638 | 0.0000000 | 0.7404466 | 0.7998246 |
| 15 | Ext | =~ | CBCL_Q72_P | 0.4658571 | 0.0600771 | 7.754314 | 0.0000000 | 0.3481080 | 0.5836061 |
| 16 | Ext | =~ | CBCL_Q74_P | 0.5625428 | 0.0162914 | 34.530129 | 0.0000000 | 0.5306123 | 0.5944733 |
| 17 | Ext | =~ | CBCL_Q86_P | 0.7847921 | 0.0100941 | 77.747388 | 0.0000000 | 0.7650080 | 0.8045763 |
| 18 | Ext | =~ | CBCL_Q87_P | 0.7776897 | 0.0124263 | 62.584032 | 0.0000000 | 0.7533345 | 0.8020448 |
| 19 | Ext | =~ | CBCL_Q88_P | 0.7428866 | 0.0153082 | 48.528816 | 0.0000000 | 0.7128832 | 0.7728901 |
| 20 | Ext | =~ | CBCL_Q89_P | 0.7714371 | 0.0275832 | 27.967681 | 0.0000000 | 0.7173751 | 0.8254992 |
| 21 | Ext | =~ | CBCL_Q90_P | 0.5806045 | 0.0255598 | 22.715509 | 0.0000000 | 0.5305082 | 0.6307008 |
| 22 | Ext | =~ | CBCL_Q94_P | 0.6049064 | 0.0216563 | 27.932148 | 0.0000000 | 0.5624609 | 0.6473519 |
| 23 | Ext | =~ | CBCL_Q95_P | 0.7679742 | 0.0106674 | 71.992954 | 0.0000000 | 0.7470666 | 0.7888818 |
| 24 | Ext | =~ | CBCL_Q96_P | 0.6039607 | 0.0521441 | 11.582538 | 0.0000000 | 0.5017602 | 0.7061612 |
| 25 | Ext | =~ | Com1_Attack | 0.7496620 | 0.0185979 | 40.309022 | 0.0000000 | 0.7132108 | 0.7861132 |
| 26 | Ext | =~ | Com2_Destroy | 0.7558306 | 0.0217819 | 34.699892 | 0.0000000 | 0.7131388 | 0.7985224 |
| 27 | Ext | =~ | Com3_Disobeys | 0.7982339 | 0.0114435 | 69.754369 | 0.0000000 | 0.7758051 | 0.8206628 |
| 28 | Ext | =~ | Com4_Steals | 0.6983481 | 0.0248763 | 28.072882 | 0.0000000 | 0.6495915 | 0.7471046 |
| 29 | Ext | =~ | Com5_Peer | 0.7450613 | 0.0160120 | 46.531561 | 0.0000000 | 0.7136784 | 0.7764441 |
| 30 | NDe | =~ | CBCL_Q01_P | 0.6690223 | 0.0168326 | 39.745620 | 0.0000000 | 0.6360310 | 0.7020136 |
| 31 | NDe | =~ | CBCL_Q04_P | 0.7501405 | 0.0124417 | 60.292288 | 0.0000000 | 0.7257552 | 0.7745259 |
| 32 | NDe | =~ | CBCL_Q09_P | 0.7573592 | 0.0132695 | 57.075182 | 0.0000000 | 0.7313514 | 0.7833669 |
| 33 | NDe | =~ | CBCL_Q13_P | 0.7181817 | 0.0256088 | 28.044338 | 0.0000000 | 0.6679894 | 0.7683740 |
| 34 | NDe | =~ | CBCL_Q17_P | 0.5855080 | 0.0170272 | 34.386670 | 0.0000000 | 0.5521353 | 0.6188806 |
| 35 | NDe | =~ | CBCL_Q36_P | 0.5624323 | 0.0207751 | 27.072423 | 0.0000000 | 0.5217139 | 0.6031508 |
| 36 | NDe | =~ | CBCL_Q46_P | 0.6445361 | 0.0223813 | 28.797914 | 0.0000000 | 0.6006694 | 0.6884027 |
| 37 | NDe | =~ | CBCL_Q61_P | 0.7156558 | 0.0189107 | 37.843885 | 0.0000000 | 0.6785914 | 0.7527201 |
| 38 | NDe | =~ | CBCL_Q62_P | 0.6704013 | 0.0196881 | 34.051158 | 0.0000000 | 0.6318134 | 0.7089892 |
| 39 | NDe | =~ | CBCL_Q64_P | 0.6032414 | 0.0200598 | 30.072111 | 0.0000000 | 0.5639249 | 0.6425579 |
| 40 | NDe | =~ | CBCL_Q66_P | 0.7232422 | 0.0236863 | 30.534155 | 0.0000000 | 0.6768178 | 0.7696666 |
| 41 | NDe | =~ | CBCL_Q80_P | 0.7013496 | 0.0215332 | 32.570682 | 0.0000000 | 0.6591454 | 0.7435538 |
| 42 | NDe | =~ | CBCL_Q85_P | 0.7089329 | 0.0246446 | 28.766315 | 0.0000000 | 0.6606305 | 0.7572353 |
| 43 | NDe | =~ | CBCL_Q93_P | 0.6057051 | 0.0167482 | 36.165303 | 0.0000000 | 0.5728792 | 0.6385311 |
| 44 | NDe | =~ | Com6_Distracted | 0.8031037 | 0.0105334 | 76.243537 | 0.0000000 | 0.7824586 | 0.8237488 |
| 45 | Int | =~ | CBCL_Q112_P | 0.7688360 | 0.0114574 | 67.103768 | 0.0000000 | 0.7463799 | 0.7912922 |
| 46 | Int | =~ | CBCL_Q12_P | 0.7585576 | 0.0203877 | 37.206712 | 0.0000000 | 0.7185986 | 0.7985167 |
| 47 | Int | =~ | CBCL_Q29_P | 0.6032314 | 0.0195543 | 30.849104 | 0.0000000 | 0.5649057 | 0.6415570 |
| 48 | Int | =~ | CBCL_Q30_P | 0.6790698 | 0.0320317 | 21.199962 | 0.0000000 | 0.6162889 | 0.7418507 |
| 49 | Int | =~ | CBCL_Q31_P | 0.6638585 | 0.0235407 | 28.200460 | 0.0000000 | 0.6177196 | 0.7099974 |
| 50 | Int | =~ | CBCL_Q32_P | 0.5051506 | 0.0182145 | 27.733435 | 0.0000000 | 0.4694508 | 0.5408504 |
| 51 | Int | =~ | CBCL_Q35_P | 0.7964980 | 0.0163720 | 48.650104 | 0.0000000 | 0.7644095 | 0.8285864 |
| 52 | Int | =~ | CBCL_Q45_P | 0.8197847 | 0.0133857 | 61.243248 | 0.0000000 | 0.7935492 | 0.8460203 |
| 53 | Int | =~ | CBCL_Q50_P | 0.8018420 | 0.0119911 | 66.869612 | 0.0000000 | 0.7783398 | 0.8253442 |
| 54 | Int | =~ | CBCL_Q52_P | 0.6759969 | 0.0232764 | 29.042146 | 0.0000000 | 0.6303760 | 0.7216178 |
| 55 | Int | =~ | CBCL_Q71_P | 0.6990577 | 0.0141666 | 49.345483 | 0.0000000 | 0.6712917 | 0.7268238 |
| 56 | Som | =~ | CBCL_Q51_P | 0.6827753 | 0.0435809 | 15.666857 | 0.0000000 | 0.5973583 | 0.7681922 |
| 57 | Som | =~ | CBCL_Q56A_P | 0.6611350 | 0.0264842 | 24.963391 | 0.0000000 | 0.6092269 | 0.7130430 |
| 58 | Som | =~ | CBCL_Q56B_P | 0.6004584 | 0.0237565 | 25.275526 | 0.0000000 | 0.5538964 | 0.6470203 |
| 59 | Som | =~ | CBCL_Q56C_P | 0.8520867 | 0.0187294 | 45.494673 | 0.0000000 | 0.8153778 | 0.8887956 |
| 60 | Som | =~ | CBCL_Q56D_P | 0.4759208 | 0.0542461 | 8.773362 | 0.0000000 | 0.3696004 | 0.5822412 |
| 61 | Som | =~ | CBCL_Q56E_P | 0.4079196 | 0.0330355 | 12.347897 | 0.0000000 | 0.3431711 | 0.4726681 |
| 62 | Som | =~ | CBCL_Q56F_P | 0.7745767 | 0.0170717 | 45.371863 | 0.0000000 | 0.7411167 | 0.8080367 |
| 63 | Som | =~ | CBCL_Q56G_P | 0.5368466 | 0.0418313 | 12.833611 | 0.0000000 | 0.4548587 | 0.6188344 |
| 64 | Som | =~ | CBCL_Q56H_P | 0.6710294 | 0.0523402 | 12.820543 | 0.0000000 | 0.5684446 | 0.7736143 |
| 65 | Det | =~ | CBCL_Q102_P | 0.7633547 | 0.0273122 | 27.949212 | 0.0000000 | 0.7098237 | 0.8168856 |
| 66 | Det | =~ | CBCL_Q111_P | 0.8744128 | 0.0222513 | 39.297136 | 0.0000000 | 0.8308010 | 0.9180246 |
| 67 | Det | =~ | CBCL_Q42_P | 0.6337165 | 0.0212289 | 29.851545 | 0.0000000 | 0.5921085 | 0.6753244 |
| 68 | Det | =~ | CBCL_Q65_P | 0.7906372 | 0.0270256 | 29.255160 | 0.0000000 | 0.7376681 | 0.8436064 |
| 69 | Det | =~ | CBCL_Q75_P | 0.5986726 | 0.0230353 | 25.989353 | 0.0000000 | 0.5535243 | 0.6438210 |
| 70 | P | =~ | Ext | 0.8087595 | 0.0104635 | 77.293120 | 0.0000000 | 0.7882513 | 0.8292676 |
| 71 | P | =~ | NDe | 0.8833703 | 0.0102171 | 86.459647 | 0.0000000 | 0.8633450 | 0.9033955 |
| 72 | P | =~ | Int | 0.7747561 | 0.0122537 | 63.226123 | 0.0000000 | 0.7507392 | 0.7987730 |
| 73 | P | =~ | Som | 0.5739487 | 0.0190304 | 30.159607 | 0.0000000 | 0.5366499 | 0.6112476 |
| 74 | P | =~ | Det | 0.7530661 | 0.0171223 | 43.981591 | 0.0000000 | 0.7195070 | 0.7866252 |
| 75 | P | ~~ | P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 76 | CBCL_Q03_P | | | t1 | 0.1092252 | 0.0188563 | 5.792498 | 0.0000000 | 0.0722675 | 0.1461829 |
| 77 | CBCL_Q03_P | | | t2 | 1.3624658 | 0.0267645 | 50.905762 | 0.0000000 | 1.3100084 | 1.4149232 |
| 78 | CBCL_Q07_P | | | t1 | 0.6164015 | 0.0201739 | 30.554341 | 0.0000000 | 0.5768613 | 0.6559417 |
| 79 | CBCL_Q07_P | | | t2 | 2.0211646 | 0.0422093 | 47.884359 | 0.0000000 | 1.9384359 | 2.1038933 |
| 80 | CBCL_Q109_P | | | t1 | 0.5227163 | 0.0197801 | 26.426381 | 0.0000000 | 0.4839480 | 0.5614846 |
| 81 | CBCL_Q109_P | | | t2 | 1.9483383 | 0.0397236 | 49.047336 | 0.0000000 | 1.8704814 | 2.0261952 |
| 82 | CBCL_Q15_P | | | t1 | 2.3744423 | 0.0588624 | 40.338845 | 0.0000000 | 2.2590740 | 2.4898105 |
| 83 | CBCL_Q15_P | | | t2 | 3.3196490 | 0.1973997 | 16.816894 | 0.0000000 | 2.9327528 | 3.7065452 |
| 84 | CBCL_Q16_P | | | t1 | 1.4505219 | 0.0281109 | 51.600061 | 0.0000000 | 1.3954257 | 1.5056182 |
| 85 | CBCL_Q16_P | | | t2 | 2.7555980 | 0.0906056 | 30.413125 | 0.0000000 | 2.5780144 | 2.9331816 |
| 86 | CBCL_Q19_P | | | t1 | 0.7694261 | 0.0209864 | 36.663060 | 0.0000000 | 0.7282935 | 0.8105587 |
| 87 | CBCL_Q19_P | | | t2 | 1.7706971 | 0.0346363 | 51.122623 | 0.0000000 | 1.7028112 | 1.8385829 |
| 88 | CBCL_Q26_P | | | t1 | 1.2207726 | 0.0249124 | 49.002525 | 0.0000000 | 1.1719451 | 1.2696000 |
| 89 | CBCL_Q26_P | | | t2 | 2.2662843 | 0.0528046 | 42.918304 | 0.0000000 | 2.1627892 | 2.3697795 |
| 90 | CBCL_Q27_P | | | t1 | 0.7885517 | 0.0211038 | 37.365319 | 0.0000000 | 0.7471890 | 0.8299145 |
| 91 | CBCL_Q27_P | | | t2 | 1.9408556 | 0.0394826 | 49.157249 | 0.0000000 | 1.8634711 | 2.0182400 |
| 92 | CBCL_Q34_P | | | t1 | 1.6127222 | 0.0310585 | 51.925267 | 0.0000000 | 1.5518486 | 1.6735958 |
| 93 | CBCL_Q34_P | | | t2 | 2.6869648 | 0.0833648 | 32.231419 | 0.0000000 | 2.5235729 | 2.8503567 |
| 94 | CBCL_Q37_P | | | t1 | 1.9334799 | 0.0392475 | 49.263772 | 0.0000000 | 1.8565562 | 2.0104036 |
| 95 | CBCL_Q37_P | | | t2 | 2.9995350 | 0.1242947 | 24.132435 | 0.0000000 | 2.7559218 | 3.2431482 |
| 96 | CBCL_Q39_P | | | t1 | 1.5311501 | 0.0294944 | 51.913323 | 0.0000000 | 1.4733422 | 1.5889579 |
| 97 | CBCL_Q39_P | | | t2 | 2.6869648 | 0.0833648 | 32.231419 | 0.0000000 | 2.5235729 | 2.8503567 |
| 98 | CBCL_Q43_P | | | t1 | 0.7386539 | 0.0208052 | 35.503413 | 0.0000000 | 0.6978766 | 0.7794313 |
| 99 | CBCL_Q43_P | | | t2 | 2.1278641 | 0.0463571 | 45.901540 | 0.0000000 | 2.0370057 | 2.2187224 |
| 100 | CBCL_Q67_P | | | t1 | 2.6290485 | 0.0778567 | 33.767799 | 0.0000000 | 2.4764522 | 2.7816447 |
| 101 | CBCL_Q67_P | | | t2 | 3.5084928 | 0.2659998 | 13.189833 | 0.0000000 | 2.9871428 | 4.0298428 |
| 102 | CBCL_Q68_P | | | t1 | 1.2685638 | 0.0254971 | 49.753278 | 0.0000000 | 1.2185905 | 1.3185372 |
| 103 | CBCL_Q68_P | | | t2 | 2.2109513 | 0.0500672 | 44.159651 | 0.0000000 | 2.1128214 | 2.3090813 |
| 104 | CBCL_Q72_P | | | t1 | 2.6473822 | 0.0795446 | 33.281749 | 0.0000000 | 2.4914777 | 2.8032867 |
| 105 | CBCL_Q72_P | | | t2 | 3.5084928 | 0.2659998 | 13.189833 | 0.0000000 | 2.9871428 | 4.0298428 |
| 106 | CBCL_Q74_P | | | t1 | 0.5679387 | 0.0199609 | 28.452566 | 0.0000000 | 0.5288160 | 0.6070613 |
| 107 | CBCL_Q74_P | | | t2 | 1.8246844 | 0.0360503 | 50.614939 | 0.0000000 | 1.7540271 | 1.8953417 |
| 108 | CBCL_Q86_P | | | t1 | 0.3873288 | 0.0193375 | 20.029964 | 0.0000000 | 0.3494280 | 0.4252295 |
| 109 | CBCL_Q86_P | | | t2 | 1.7390900 | 0.0338565 | 51.366516 | 0.0000000 | 1.6727325 | 1.8054475 |
| 110 | CBCL_Q87_P | | | t1 | 0.8665110 | 0.0216219 | 40.075640 | 0.0000000 | 0.8241329 | 0.9088891 |
| 111 | CBCL_Q87_P | | | t2 | 2.0211646 | 0.0422093 | 47.884359 | 0.0000000 | 1.9384359 | 2.1038933 |
| 112 | CBCL_Q88_P | | | t1 | 1.1011239 | 0.0236089 | 46.640133 | 0.0000000 | 1.0548513 | 1.1473966 |
| 113 | CBCL_Q88_P | | | t2 | 2.2175057 | 0.0503798 | 44.015776 | 0.0000000 | 2.1187631 | 2.3162483 |
| 114 | CBCL_Q89_P | | | t1 | 1.9298312 | 0.0391321 | 49.315798 | 0.0000000 | 1.8531336 | 2.0065287 |
| 115 | CBCL_Q89_P | | | t2 | 2.7555980 | 0.0906056 | 30.413125 | 0.0000000 | 2.5780144 | 2.9331816 |
| 116 | CBCL_Q90_P | | | t1 | 1.5459068 | 0.0297645 | 51.937911 | 0.0000000 | 1.4875694 | 1.6042442 |
| 117 | CBCL_Q90_P | | | t2 | 2.3938145 | 0.0600570 | 39.859033 | 0.0000000 | 2.2761050 | 2.5115241 |
| 118 | CBCL_Q94_P | | | t1 | 1.2812948 | 0.0256595 | 49.934585 | 0.0000000 | 1.2310032 | 1.3315865 |
| 119 | CBCL_Q94_P | | | t2 | 2.4354917 | 0.0627513 | 38.811809 | 0.0000000 | 2.3125014 | 2.5584821 |
| 120 | CBCL_Q95_P | | | t1 | 0.6157187 | 0.0201708 | 30.525250 | 0.0000000 | 0.5761846 | 0.6552527 |
| 121 | CBCL_Q95_P | | | t2 | 1.7706971 | 0.0346363 | 51.122624 | 0.0000000 | 1.7028112 | 1.8385829 |
| 122 | CBCL_Q96_P | | | t1 | 2.4943643 | 0.0668674 | 37.303139 | 0.0000000 | 2.3633066 | 2.6254220 |
| 123 | CBCL_Q96_P | | | t2 | 3.3196490 | 0.1973997 | 16.816894 | 0.0000000 | 2.9327528 | 3.7065452 |
| 124 | Com1_Attack | | | t1 | 1.4904828 | 0.0287775 | 51.793380 | 0.0000000 | 1.4340800 | 1.5468856 |
| 125 | Com1_Attack | | | t2 | 2.8737826 | 0.1051889 | 27.320208 | 0.0000000 | 2.6676161 | 3.0799490 |
| 126 | Com2_Destroy | | | t1 | 1.7042838 | 0.0330365 | 51.587962 | 0.0000000 | 1.6395335 | 1.7690341 |
| 127 | Com2_Destroy | | | t2 | 2.9995350 | 0.1242947 | 24.132435 | 0.0000000 | 2.7559218 | 3.2431482 |
| 128 | Com3_Disobeys | | | t1 | 0.7520759 | 0.0208831 | 36.013679 | 0.0000000 | 0.7111459 | 0.7930060 |
| 129 | Com3_Disobeys | | | t2 | 2.3650808 | 0.0582978 | 40.568980 | 0.0000000 | 2.2508193 | 2.4793423 |
| 130 | Com4_Steals | | | t1 | 1.7140178 | 0.0332618 | 51.531082 | 0.0000000 | 1.6488258 | 1.7792097 |
| 131 | Com4_Steals | | | t2 | 2.9522598 | 0.1166213 | 25.314923 | 0.0000000 | 2.7236862 | 3.1808334 |
| 132 | Com5_Peer | | | t1 | 1.1178472 | 0.0237782 | 47.011458 | 0.0000000 | 1.0712428 | 1.1644516 |
| 133 | Com5_Peer | | | t2 | 2.4580273 | 0.0642824 | 38.237978 | 0.0000000 | 2.3320362 | 2.5840184 |
| 134 | CBCL_Q01_P | | | t1 | 0.8009448 | 0.0211819 | 37.812659 | 0.0000000 | 0.7594290 | 0.8424606 |
| 135 | CBCL_Q01_P | | | t2 | 1.9915787 | 0.0411681 | 48.376750 | 0.0000000 | 1.9108907 | 2.0722667 |
| 136 | CBCL_Q04_P | | | t1 | 0.2371658 | 0.0190090 | 12.476477 | 0.0000000 | 0.1999088 | 0.2744228 |
| 137 | CBCL_Q04_P | | | t2 | 1.5983755 | 0.0307706 | 51.944921 | 0.0000000 | 1.5380662 | 1.6586847 |
| 138 | CBCL_Q09_P | | | t1 | 0.6239318 | 0.0202089 | 30.874136 | 0.0000000 | 0.5843231 | 0.6635405 |
| 139 | CBCL_Q09_P | | | t2 | 1.6852865 | 0.0326053 | 51.687526 | 0.0000000 | 1.6213813 | 1.7491917 |
| 140 | CBCL_Q13_P | | | t1 | 1.6783168 | 0.0324499 | 51.720227 | 0.0000000 | 1.6147162 | 1.7419175 |
| 141 | CBCL_Q13_P | | | t2 | 2.5343276 | 0.0698862 | 36.263611 | 0.0000000 | 2.3973530 | 2.6713021 |
| 142 | CBCL_Q17_P | | | t1 | 0.5725904 | 0.0199805 | 28.657509 | 0.0000000 | 0.5334294 | 0.6117514 |
| 143 | CBCL_Q17_P | | | t2 | 1.7788819 | 0.0348439 | 51.052960 | 0.0000000 | 1.7105892 | 1.8471746 |
| 144 | CBCL_Q36_P | | | t1 | 1.0075828 | 0.0227336 | 44.321395 | 0.0000000 | 0.9630258 | 1.0521397 |
| 145 | CBCL_Q36_P | | | t2 | 2.0572987 | 0.0435426 | 47.247906 | 0.0000000 | 1.9719567 | 2.1426407 |
| 146 | CBCL_Q46_P | | | t1 | 1.2698277 | 0.0255131 | 49.771629 | 0.0000000 | 1.2198230 | 1.3198324 |
| 147 | CBCL_Q46_P | | | t2 | 2.1171200 | 0.0459097 | 46.114889 | 0.0000000 | 2.0271387 | 2.2071014 |
| 148 | CBCL_Q61_P | | | t1 | 1.2019508 | 0.0246926 | 48.676501 | 0.0000000 | 1.1535541 | 1.2503474 |
| 149 | CBCL_Q61_P | | | t2 | 2.2175057 | 0.0503798 | 44.015776 | 0.0000000 | 2.1187631 | 2.3162483 |
| 150 | CBCL_Q62_P | | | t1 | 1.1984688 | 0.0246526 | 48.614311 | 0.0000000 | 1.1501506 | 1.2467870 |
| 151 | CBCL_Q62_P | | | t2 | 2.1501198 | 0.0473068 | 45.450580 | 0.0000000 | 2.0574002 | 2.2428393 |
| 152 | CBCL_Q64_P | | | t1 | 1.0085216 | 0.0227418 | 44.346676 | 0.0000000 | 0.9639485 | 1.0530946 |
| 153 | CBCL_Q64_P | | | t2 | 2.1734944 | 0.0483382 | 44.964326 | 0.0000000 | 2.0787533 | 2.2682355 |
| 154 | CBCL_Q66_P | | | t1 | 1.5686941 | 0.0301926 | 51.956286 | 0.0000000 | 1.5095177 | 1.6278704 |
| 155 | CBCL_Q66_P | | | t2 | 2.3047476 | 0.0548460 | 42.022193 | 0.0000000 | 2.1972515 | 2.4122437 |
| 156 | CBCL_Q80_P | | | t1 | 1.4220050 | 0.0276569 | 51.415847 | 0.0000000 | 1.3677984 | 1.4762117 |
| 157 | CBCL_Q80_P | | | t2 | 2.5343276 | 0.0698862 | 36.263611 | 0.0000000 | 2.3973530 | 2.6713021 |
| 158 | CBCL_Q85_P | | | t1 | 1.5366447 | 0.0295943 | 51.923649 | 0.0000000 | 1.4786409 | 1.5946484 |
| 159 | CBCL_Q85_P | | | t2 | 2.7084514 | 0.0855443 | 31.661398 | 0.0000000 | 2.5407877 | 2.8761151 |
| 160 | CBCL_Q93_P | | | t1 | 0.6232458 | 0.0202057 | 30.845080 | 0.0000000 | 0.5836434 | 0.6628482 |
| 161 | CBCL_Q93_P | | | t2 | 1.6691489 | 0.0322478 | 51.760087 | 0.0000000 | 1.6059444 | 1.7323534 |
| 162 | Com6_Distracted | | | t1 | 0.3354720 | 0.0192053 | 17.467655 | 0.0000000 | 0.2978303 | 0.3731138 |
| 163 | Com6_Distracted | | | t2 | 1.5329764 | 0.0295275 | 51.916910 | 0.0000000 | 1.4751036 | 1.5908493 |
| 164 | CBCL_Q112_P | | | t1 | 0.2727592 | 0.0190720 | 14.301523 | 0.0000000 | 0.2353787 | 0.3101397 |
| 165 | CBCL_Q112_P | | | t2 | 1.6468231 | 0.0317662 | 51.842037 | 0.0000000 | 1.5845625 | 1.7090837 |
| 166 | CBCL_Q12_P | | | t1 | 1.1915481 | 0.0245736 | 48.488968 | 0.0000000 | 1.1433847 | 1.2397115 |
| 167 | CBCL_Q12_P | | | t2 | 2.2737117 | 0.0531896 | 42.747270 | 0.0000000 | 2.1694619 | 2.3779615 |
| 168 | CBCL_Q29_P | | | t1 | 0.8839073 | 0.0217464 | 40.646053 | 0.0000000 | 0.8412850 | 0.9265295 |
| 169 | CBCL_Q29_P | | | t2 | 2.0862765 | 0.0446635 | 46.710974 | 0.0000000 | 1.9987376 | 2.1738154 |
| 170 | CBCL_Q30_P | | | t1 | 1.7339879 | 0.0337338 | 51.402098 | 0.0000000 | 1.6678709 | 1.8001049 |
| 171 | CBCL_Q30_P | | | t2 | 2.6869648 | 0.0833648 | 32.231419 | 0.0000000 | 2.5235729 | 2.8503567 |
| 172 | CBCL_Q31_P | | | t1 | 1.3596136 | 0.0267235 | 50.877043 | 0.0000000 | 1.3072365 | 1.4119907 |
| 173 | CBCL_Q31_P | | | t2 | 2.5072447 | 0.0678197 | 36.969269 | 0.0000000 | 2.3743206 | 2.6401689 |
| 174 | CBCL_Q32_P | | | t1 | 0.4804396 | 0.0196263 | 24.479389 | 0.0000000 | 0.4419728 | 0.5189064 |
| 175 | CBCL_Q32_P | | | t2 | 1.6737153 | 0.0323481 | 51.740682 | 0.0000000 | 1.6103141 | 1.7371165 |
| 176 | CBCL_Q35_P | | | t1 | 1.0635846 | 0.0232434 | 45.758562 | 0.0000000 | 1.0180284 | 1.1091409 |
| 177 | CBCL_Q35_P | | | t2 | 2.3211379 | 0.0557526 | 41.632846 | 0.0000000 | 2.2118648 | 2.4304109 |
| 178 | CBCL_Q45_P | | | t1 | 0.8126761 | 0.0212573 | 38.230453 | 0.0000000 | 0.7710126 | 0.8543396 |
| 179 | CBCL_Q45_P | | | t2 | 1.9874915 | 0.0410277 | 48.442668 | 0.0000000 | 1.9070787 | 2.0679043 |
| 180 | CBCL_Q50_P | | | t1 | 0.7151148 | 0.0206727 | 34.592152 | 0.0000000 | 0.6745970 | 0.7556327 |
| 181 | CBCL_Q50_P | | | t2 | 1.8912952 | 0.0379492 | 49.837555 | 0.0000000 | 1.8169161 | 1.9656743 |
| 182 | CBCL_Q52_P | | | t1 | 1.4298101 | 0.0277794 | 51.470117 | 0.0000000 | 1.3753635 | 1.4842568 |
| 183 | CBCL_Q52_P | | | t2 | 2.4943643 | 0.0668674 | 37.303139 | 0.0000000 | 2.3633066 | 2.6254220 |
| 184 | CBCL_Q71_P | | | t1 | 0.1166147 | 0.0188620 | 6.182507 | 0.0000000 | 0.0796458 | 0.1535836 |
| 185 | CBCL_Q71_P | | | t2 | 1.5096210 | 0.0291099 | 51.859410 | 0.0000000 | 1.4525667 | 1.5666753 |
| 186 | CBCL_Q51_P | | | t1 | 1.7365333 | 0.0337949 | 51.384479 | 0.0000000 | 1.6702965 | 1.8027701 |
| 187 | CBCL_Q51_P | | | t2 | 2.9107843 | 0.1103877 | 26.368736 | 0.0000000 | 2.6944284 | 3.1271403 |
| 188 | CBCL_Q56A_P | | | t1 | 0.9483579 | 0.0222380 | 42.645846 | 0.0000000 | 0.9047723 | 0.9919436 |
| 189 | CBCL_Q56A_P | | | t2 | 2.1856418 | 0.0488884 | 44.706717 | 0.0000000 | 2.0898222 | 2.2814614 |
| 190 | CBCL_Q56B_P | | | t1 | 0.5826005 | 0.0200232 | 29.096257 | 0.0000000 | 0.5433558 | 0.6218453 |
| 191 | CBCL_Q56B_P | | | t2 | 2.0388989 | 0.0428550 | 47.576698 | 0.0000000 | 1.9549047 | 2.1228932 |
| 192 | CBCL_Q56C_P | | | t1 | 1.0766013 | 0.0233679 | 46.071742 | 0.0000000 | 1.0308010 | 1.1224016 |
| 193 | CBCL_Q56C_P | | | t2 | 2.3469569 | 0.0572273 | 41.011139 | 0.0000000 | 2.2347934 | 2.4591203 |
| 194 | CBCL_Q56D_P | | | t1 | 1.8845823 | 0.0377497 | 49.923166 | 0.0000000 | 1.8105943 | 1.9585703 |
| 195 | CBCL_Q56D_P | | | t2 | 2.5788014 | 0.0734785 | 35.096020 | 0.0000000 | 2.4347863 | 2.7228166 |
| 196 | CBCL_Q56E_P | | | t1 | 1.0725768 | 0.0233292 | 45.975760 | 0.0000000 | 1.0268525 | 1.1183012 |
| 197 | CBCL_Q56E_P | | | t2 | 2.1388595 | 0.0468224 | 45.680242 | 0.0000000 | 2.0470893 | 2.2306298 |
| 198 | CBCL_Q56F_P | | | t1 | 0.7165744 | 0.0206808 | 34.649253 | 0.0000000 | 0.6760407 | 0.7571080 |
| 199 | CBCL_Q56F_P | | | t2 | 2.0862765 | 0.0446635 | 46.710975 | 0.0000000 | 1.9987376 | 2.1738154 |
| 200 | CBCL_Q56G_P | | | t1 | 1.7289305 | 0.0336130 | 51.436316 | 0.0000000 | 1.6630501 | 1.7948108 |
| 201 | CBCL_Q56G_P | | | t2 | 2.9995350 | 0.1242947 | 24.132435 | 0.0000000 | 2.7559218 | 3.2431482 |
| 202 | CBCL_Q56H_P | | | t1 | 1.9834372 | 0.0408893 | 48.507540 | 0.0000000 | 1.9032958 | 2.0635787 |
| 203 | CBCL_Q56H_P | | | t2 | 2.7084514 | 0.0855443 | 31.661398 | 0.0000000 | 2.5407877 | 2.8761151 |
| 204 | CBCL_Q102_P | | | t1 | 1.5202975 | 0.0292991 | 51.888831 | 0.0000000 | 1.4628722 | 1.5777227 |
| 205 | CBCL_Q102_P | | | t2 | 2.5343276 | 0.0698862 | 36.263611 | 0.0000000 | 2.3973530 | 2.6713021 |
| 206 | CBCL_Q111_P | | | t1 | 1.5440437 | 0.0297301 | 51.935359 | 0.0000000 | 1.4857738 | 1.6023137 |
| 207 | CBCL_Q111_P | | | t2 | 2.7312662 | 0.0879443 | 31.056767 | 0.0000000 | 2.5588985 | 2.9036339 |
| 208 | CBCL_Q42_P | | | t1 | 0.9483579 | 0.0222380 | 42.645846 | 0.0000000 | 0.9047723 | 0.9919436 |
| 209 | CBCL_Q42_P | | | t2 | 2.2241567 | 0.0507001 | 43.868879 | 0.0000000 | 2.1247864 | 2.3235271 |
| 210 | CBCL_Q65_P | | | t1 | 1.4553909 | 0.0281901 | 51.627650 | 0.0000000 | 1.4001393 | 1.5106426 |
| 211 | CBCL_Q65_P | | | t2 | 2.5485982 | 0.0710113 | 35.890021 | 0.0000000 | 2.4094186 | 2.6877779 |
| 212 | CBCL_Q75_P | | | t1 | 0.8624076 | 0.0215930 | 39.939230 | 0.0000000 | 0.8200861 | 0.9047291 |
| 213 | CBCL_Q75_P | | | t2 | 2.0434343 | 0.0430228 | 47.496549 | 0.0000000 | 1.9591112 | 2.1277574 |
| 214 | CBCL_Q03_P | ~~ | CBCL_Q03_P | 0.3923161 | 0.0153581 | 25.544638 | 0.0000000 | 0.3622149 | 0.4224174 |
| 215 | CBCL_Q07_P | ~~ | CBCL_Q07_P | 0.6884481 | 0.0184526 | 37.308986 | 0.0000000 | 0.6522816 | 0.7246145 |
| 216 | CBCL_Q109_P | ~~ | CBCL_Q109_P | 0.5907532 | 0.0186851 | 31.616293 | 0.0000000 | 0.5541311 | 0.6273753 |
| 217 | CBCL_Q15_P | ~~ | CBCL_Q15_P | 0.5533271 | 0.0603482 | 9.168906 | 0.0000000 | 0.4350468 | 0.6716074 |
| 218 | CBCL_Q16_P | ~~ | CBCL_Q16_P | 0.4719878 | 0.0276193 | 17.089063 | 0.0000000 | 0.4178550 | 0.5261207 |
| 219 | CBCL_Q19_P | ~~ | CBCL_Q19_P | 0.4618146 | 0.0198063 | 23.316592 | 0.0000000 | 0.4229951 | 0.5006342 |
| 220 | CBCL_Q26_P | ~~ | CBCL_Q26_P | 0.5193459 | 0.0245908 | 21.119510 | 0.0000000 | 0.4711488 | 0.5675430 |
| 221 | CBCL_Q27_P | ~~ | CBCL_Q27_P | 0.4991403 | 0.0201034 | 24.828699 | 0.0000000 | 0.4597384 | 0.5385421 |
| 222 | CBCL_Q34_P | ~~ | CBCL_Q34_P | 0.5096234 | 0.0327860 | 15.543947 | 0.0000000 | 0.4453641 | 0.5738828 |
| 223 | CBCL_Q37_P | ~~ | CBCL_Q37_P | 0.3788826 | 0.0386809 | 9.795091 | 0.0000000 | 0.3030695 | 0.4546957 |
| 224 | CBCL_Q39_P | ~~ | CBCL_Q39_P | 0.7152137 | 0.0278348 | 25.694903 | 0.0000000 | 0.6606584 | 0.7697690 |
| 225 | CBCL_Q43_P | ~~ | CBCL_Q43_P | 0.5111801 | 0.0197539 | 25.877444 | 0.0000000 | 0.4724632 | 0.5498970 |
| 226 | CBCL_Q67_P | ~~ | CBCL_Q67_P | 0.3958596 | 0.0908561 | 4.356997 | 0.0000132 | 0.2177850 | 0.5739343 |
| 227 | CBCL_Q68_P | ~~ | CBCL_Q68_P | 0.4068912 | 0.0233316 | 17.439475 | 0.0000000 | 0.3611620 | 0.4526203 |
| 228 | CBCL_Q72_P | ~~ | CBCL_Q72_P | 0.7829772 | 0.0559747 | 13.988049 | 0.0000000 | 0.6732688 | 0.8926857 |
| 229 | CBCL_Q74_P | ~~ | CBCL_Q74_P | 0.6835456 | 0.0183292 | 37.292764 | 0.0000000 | 0.6476211 | 0.7194701 |
| 230 | CBCL_Q86_P | ~~ | CBCL_Q86_P | 0.3841013 | 0.0158436 | 24.243332 | 0.0000000 | 0.3530484 | 0.4151542 |
| 231 | CBCL_Q87_P | ~~ | CBCL_Q87_P | 0.3951988 | 0.0193277 | 20.447323 | 0.0000000 | 0.3573173 | 0.4330803 |
| 232 | CBCL_Q88_P | ~~ | CBCL_Q88_P | 0.4481194 | 0.0227444 | 19.702366 | 0.0000000 | 0.4035411 | 0.4926977 |
| 233 | CBCL_Q89_P | ~~ | CBCL_Q89_P | 0.4048847 | 0.0425574 | 9.513860 | 0.0000000 | 0.3214738 | 0.4882956 |
| 234 | CBCL_Q90_P | ~~ | CBCL_Q90_P | 0.6628984 | 0.0296803 | 22.334624 | 0.0000000 | 0.6047261 | 0.7210707 |
| 235 | CBCL_Q94_P | ~~ | CBCL_Q94_P | 0.6340883 | 0.0262000 | 24.201803 | 0.0000000 | 0.5827371 | 0.6854394 |
| 236 | CBCL_Q95_P | ~~ | CBCL_Q95_P | 0.4102156 | 0.0163845 | 25.036808 | 0.0000000 | 0.3781026 | 0.4423287 |
| 237 | CBCL_Q96_P | ~~ | CBCL_Q96_P | 0.6352315 | 0.0629859 | 10.085291 | 0.0000000 | 0.5117813 | 0.7586817 |
| 238 | Com1_Attack | ~~ | Com1_Attack | 0.4380069 | 0.0278842 | 15.708047 | 0.0000000 | 0.3833548 | 0.4926590 |
| 239 | Com2_Destroy | ~~ | Com2_Destroy | 0.4287201 | 0.0329269 | 13.020363 | 0.0000000 | 0.3641846 | 0.4932557 |
| 240 | Com3_Disobeys | ~~ | Com3_Disobeys | 0.3628226 | 0.0182692 | 19.859820 | 0.0000000 | 0.3270156 | 0.3986295 |
| 241 | Com4_Steals | ~~ | Com4_Steals | 0.5123100 | 0.0347446 | 14.745040 | 0.0000000 | 0.4442119 | 0.5804081 |
| 242 | Com5_Peer | ~~ | Com5_Peer | 0.4448837 | 0.0238598 | 18.645761 | 0.0000000 | 0.3981194 | 0.4916480 |
| 243 | CBCL_Q01_P | ~~ | CBCL_Q01_P | 0.5524092 | 0.0225228 | 24.526693 | 0.0000000 | 0.5082654 | 0.5965530 |
| 244 | CBCL_Q04_P | ~~ | CBCL_Q04_P | 0.4372892 | 0.0186661 | 23.426922 | 0.0000000 | 0.4007043 | 0.4738741 |
| 245 | CBCL_Q09_P | ~~ | CBCL_Q09_P | 0.4264071 | 0.0200996 | 21.214751 | 0.0000000 | 0.3870127 | 0.4658015 |
| 246 | CBCL_Q13_P | ~~ | CBCL_Q13_P | 0.4842151 | 0.0367835 | 13.163907 | 0.0000000 | 0.4121206 | 0.5563095 |
| 247 | CBCL_Q17_P | ~~ | CBCL_Q17_P | 0.6571804 | 0.0199391 | 32.959386 | 0.0000000 | 0.6181005 | 0.6962603 |
| 248 | CBCL_Q36_P | ~~ | CBCL_Q36_P | 0.6836699 | 0.0233692 | 29.255197 | 0.0000000 | 0.6378671 | 0.7294726 |
| 249 | CBCL_Q46_P | ~~ | CBCL_Q46_P | 0.5845733 | 0.0288512 | 20.261685 | 0.0000000 | 0.5280260 | 0.6411205 |
| 250 | CBCL_Q61_P | ~~ | CBCL_Q61_P | 0.4878368 | 0.0270672 | 18.023200 | 0.0000000 | 0.4347861 | 0.5408875 |
| 251 | CBCL_Q62_P | ~~ | CBCL_Q62_P | 0.5505621 | 0.0263978 | 20.856361 | 0.0000000 | 0.4988234 | 0.6023009 |
| 252 | CBCL_Q64_P | ~~ | CBCL_Q64_P | 0.6360998 | 0.0242018 | 26.283120 | 0.0000000 | 0.5886651 | 0.6835345 |
| 253 | CBCL_Q66_P | ~~ | CBCL_Q66_P | 0.4769207 | 0.0342619 | 13.919852 | 0.0000000 | 0.4097686 | 0.5440728 |
| 254 | CBCL_Q80_P | ~~ | CBCL_Q80_P | 0.5081087 | 0.0302045 | 16.822263 | 0.0000000 | 0.4489089 | 0.5673086 |
| 255 | CBCL_Q85_P | ~~ | CBCL_Q85_P | 0.4974142 | 0.0349427 | 14.235152 | 0.0000000 | 0.4289278 | 0.5659005 |
| 256 | CBCL_Q93_P | ~~ | CBCL_Q93_P | 0.6331213 | 0.0202890 | 31.205165 | 0.0000000 | 0.5933556 | 0.6728870 |
| 257 | Com6_Distracted | ~~ | Com6_Distracted | 0.3550245 | 0.0169188 | 20.983993 | 0.0000000 | 0.3218642 | 0.3881848 |
| 258 | CBCL_Q112_P | ~~ | CBCL_Q112_P | 0.4088912 | 0.0176178 | 23.209039 | 0.0000000 | 0.3743610 | 0.4434213 |
| 259 | CBCL_Q12_P | ~~ | CBCL_Q12_P | 0.4245903 | 0.0309304 | 13.727272 | 0.0000000 | 0.3639678 | 0.4852129 |
| 260 | CBCL_Q29_P | ~~ | CBCL_Q29_P | 0.6361119 | 0.0235915 | 26.963623 | 0.0000000 | 0.5898735 | 0.6823504 |
| 261 | CBCL_Q30_P | ~~ | CBCL_Q30_P | 0.5388642 | 0.0435035 | 12.386701 | 0.0000000 | 0.4535990 | 0.6241294 |
| 262 | CBCL_Q31_P | ~~ | CBCL_Q31_P | 0.5592919 | 0.0312554 | 17.894258 | 0.0000000 | 0.4980325 | 0.6205513 |
| 263 | CBCL_Q32_P | ~~ | CBCL_Q32_P | 0.7448229 | 0.0184021 | 40.474818 | 0.0000000 | 0.7087554 | 0.7808904 |
| 264 | CBCL_Q35_P | ~~ | CBCL_Q35_P | 0.3655910 | 0.0260805 | 14.017801 | 0.0000000 | 0.3144742 | 0.4167078 |
| 265 | CBCL_Q45_P | ~~ | CBCL_Q45_P | 0.3279530 | 0.0219468 | 14.943081 | 0.0000000 | 0.2849380 | 0.3709679 |
| 266 | CBCL_Q50_P | ~~ | CBCL_Q50_P | 0.3570494 | 0.0192300 | 18.567330 | 0.0000000 | 0.3193593 | 0.3947394 |
| 267 | CBCL_Q52_P | ~~ | CBCL_Q52_P | 0.5430282 | 0.0314696 | 17.255665 | 0.0000000 | 0.4813490 | 0.6047074 |
| 268 | CBCL_Q71_P | ~~ | CBCL_Q71_P | 0.5113183 | 0.0198065 | 25.815623 | 0.0000000 | 0.4724982 | 0.5501384 |
| 269 | CBCL_Q51_P | ~~ | CBCL_Q51_P | 0.5338179 | 0.0595119 | 8.969938 | 0.0000000 | 0.4171768 | 0.6504591 |
| 270 | CBCL_Q56A_P | ~~ | CBCL_Q56A_P | 0.5629006 | 0.0350192 | 16.074038 | 0.0000000 | 0.4942641 | 0.6315370 |
| 271 | CBCL_Q56B_P | ~~ | CBCL_Q56B_P | 0.6394498 | 0.0285296 | 22.413560 | 0.0000000 | 0.5835328 | 0.6953667 |
| 272 | CBCL_Q56C_P | ~~ | CBCL_Q56C_P | 0.2739482 | 0.0319181 | 8.582847 | 0.0000000 | 0.2113899 | 0.3365065 |
| 273 | CBCL_Q56D_P | ~~ | CBCL_Q56D_P | 0.7734994 | 0.0516337 | 14.980511 | 0.0000000 | 0.6722992 | 0.8746996 |
| 274 | CBCL_Q56E_P | ~~ | CBCL_Q56E_P | 0.8336016 | 0.0269517 | 30.929469 | 0.0000000 | 0.7807773 | 0.8864260 |
| 275 | CBCL_Q56F_P | ~~ | CBCL_Q56F_P | 0.4000310 | 0.0264467 | 15.125906 | 0.0000000 | 0.3481963 | 0.4518656 |
| 276 | CBCL_Q56G_P | ~~ | CBCL_Q56G_P | 0.7117958 | 0.0449140 | 15.847980 | 0.0000000 | 0.6237660 | 0.7998255 |
| 277 | CBCL_Q56H_P | ~~ | CBCL_Q56H_P | 0.5497195 | 0.0702436 | 7.825902 | 0.0000000 | 0.4120446 | 0.6873944 |
| 278 | CBCL_Q102_P | ~~ | CBCL_Q102_P | 0.4172896 | 0.0416978 | 10.007472 | 0.0000000 | 0.3355634 | 0.4990158 |
| 279 | CBCL_Q111_P | ~~ | CBCL_Q111_P | 0.2354023 | 0.0389137 | 6.049347 | 0.0000000 | 0.1591329 | 0.3116716 |
| 280 | CBCL_Q42_P | ~~ | CBCL_Q42_P | 0.5984034 | 0.0269063 | 22.240312 | 0.0000000 | 0.5456681 | 0.6511387 |
| 281 | CBCL_Q65_P | ~~ | CBCL_Q65_P | 0.3748928 | 0.0427348 | 8.772533 | 0.0000000 | 0.2911340 | 0.4586515 |
| 282 | CBCL_Q75_P | ~~ | CBCL_Q75_P | 0.6415911 | 0.0275812 | 23.261887 | 0.0000000 | 0.5875329 | 0.6956492 |
| 283 | Ext | ~~ | Ext | 0.3459081 | 0.0169250 | 20.437736 | 0.0000000 | 0.3127358 | 0.3790804 |
| 284 | NDe | ~~ | NDe | 0.2196570 | 0.0180510 | 12.168664 | 0.0000000 | 0.1842776 | 0.2550364 |
| 285 | Int | ~~ | Int | 0.3997530 | 0.0189873 | 21.053694 | 0.0000000 | 0.3625386 | 0.4369674 |
| 286 | Som | ~~ | Som | 0.6705828 | 0.0218449 | 30.697422 | 0.0000000 | 0.6277676 | 0.7133981 |
| 287 | Det | ~~ | Det | 0.4328915 | 0.0257884 | 16.786257 | 0.0000000 | 0.3823471 | 0.4834359 |
| 288 | CBCL_Q03_P | ~*~ | CBCL_Q03_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 289 | CBCL_Q07_P | ~*~ | CBCL_Q07_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 290 | CBCL_Q109_P | ~*~ | CBCL_Q109_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 291 | CBCL_Q15_P | ~*~ | CBCL_Q15_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 292 | CBCL_Q16_P | ~*~ | CBCL_Q16_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 293 | CBCL_Q19_P | ~*~ | CBCL_Q19_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 294 | CBCL_Q26_P | ~*~ | CBCL_Q26_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 295 | CBCL_Q27_P | ~*~ | CBCL_Q27_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 296 | CBCL_Q34_P | ~*~ | CBCL_Q34_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 297 | CBCL_Q37_P | ~*~ | CBCL_Q37_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 298 | CBCL_Q39_P | ~*~ | CBCL_Q39_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 299 | CBCL_Q43_P | ~*~ | CBCL_Q43_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 300 | CBCL_Q67_P | ~*~ | CBCL_Q67_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 301 | CBCL_Q68_P | ~*~ | CBCL_Q68_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 302 | CBCL_Q72_P | ~*~ | CBCL_Q72_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 303 | CBCL_Q74_P | ~*~ | CBCL_Q74_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 304 | CBCL_Q86_P | ~*~ | CBCL_Q86_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 305 | CBCL_Q87_P | ~*~ | CBCL_Q87_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 306 | CBCL_Q88_P | ~*~ | CBCL_Q88_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 307 | CBCL_Q89_P | ~*~ | CBCL_Q89_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 308 | CBCL_Q90_P | ~*~ | CBCL_Q90_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 309 | CBCL_Q94_P | ~*~ | CBCL_Q94_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 310 | CBCL_Q95_P | ~*~ | CBCL_Q95_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 311 | CBCL_Q96_P | ~*~ | CBCL_Q96_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 312 | Com1_Attack | ~*~ | Com1_Attack | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 313 | Com2_Destroy | ~*~ | Com2_Destroy | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 314 | Com3_Disobeys | ~*~ | Com3_Disobeys | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 315 | Com4_Steals | ~*~ | Com4_Steals | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 316 | Com5_Peer | ~*~ | Com5_Peer | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 317 | CBCL_Q01_P | ~*~ | CBCL_Q01_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 318 | CBCL_Q04_P | ~*~ | CBCL_Q04_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 319 | CBCL_Q09_P | ~*~ | CBCL_Q09_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 320 | CBCL_Q13_P | ~*~ | CBCL_Q13_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 321 | CBCL_Q17_P | ~*~ | CBCL_Q17_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 322 | CBCL_Q36_P | ~*~ | CBCL_Q36_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 323 | CBCL_Q46_P | ~*~ | CBCL_Q46_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 324 | CBCL_Q61_P | ~*~ | CBCL_Q61_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 325 | CBCL_Q62_P | ~*~ | CBCL_Q62_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 326 | CBCL_Q64_P | ~*~ | CBCL_Q64_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 327 | CBCL_Q66_P | ~*~ | CBCL_Q66_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 328 | CBCL_Q80_P | ~*~ | CBCL_Q80_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 329 | CBCL_Q85_P | ~*~ | CBCL_Q85_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 330 | CBCL_Q93_P | ~*~ | CBCL_Q93_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 331 | Com6_Distracted | ~*~ | Com6_Distracted | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 332 | CBCL_Q112_P | ~*~ | CBCL_Q112_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 333 | CBCL_Q12_P | ~*~ | CBCL_Q12_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 334 | CBCL_Q29_P | ~*~ | CBCL_Q29_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 335 | CBCL_Q30_P | ~*~ | CBCL_Q30_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 336 | CBCL_Q31_P | ~*~ | CBCL_Q31_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 337 | CBCL_Q32_P | ~*~ | CBCL_Q32_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 338 | CBCL_Q35_P | ~*~ | CBCL_Q35_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 339 | CBCL_Q45_P | ~*~ | CBCL_Q45_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 340 | CBCL_Q50_P | ~*~ | CBCL_Q50_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 341 | CBCL_Q52_P | ~*~ | CBCL_Q52_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 342 | CBCL_Q71_P | ~*~ | CBCL_Q71_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 343 | CBCL_Q51_P | ~*~ | CBCL_Q51_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 344 | CBCL_Q56A_P | ~*~ | CBCL_Q56A_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 345 | CBCL_Q56B_P | ~*~ | CBCL_Q56B_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 346 | CBCL_Q56C_P | ~*~ | CBCL_Q56C_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 347 | CBCL_Q56D_P | ~*~ | CBCL_Q56D_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 348 | CBCL_Q56E_P | ~*~ | CBCL_Q56E_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 349 | CBCL_Q56F_P | ~*~ | CBCL_Q56F_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 350 | CBCL_Q56G_P | ~*~ | CBCL_Q56G_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 351 | CBCL_Q56H_P | ~*~ | CBCL_Q56H_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 352 | CBCL_Q102_P | ~*~ | CBCL_Q102_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 353 | CBCL_Q111_P | ~*~ | CBCL_Q111_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 354 | CBCL_Q42_P | ~*~ | CBCL_Q42_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 355 | CBCL_Q65_P | ~*~ | CBCL_Q65_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 356 | CBCL_Q75_P | ~*~ | CBCL_Q75_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 357 | CBCL_Q03_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 358 | CBCL_Q07_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 359 | CBCL_Q109_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 360 | CBCL_Q15_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 361 | CBCL_Q16_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 362 | CBCL_Q19_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 363 | CBCL_Q26_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 364 | CBCL_Q27_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 365 | CBCL_Q34_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 366 | CBCL_Q37_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 367 | CBCL_Q39_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 368 | CBCL_Q43_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 369 | CBCL_Q67_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 370 | CBCL_Q68_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 371 | CBCL_Q72_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 372 | CBCL_Q74_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 373 | CBCL_Q86_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 374 | CBCL_Q87_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 375 | CBCL_Q88_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 376 | CBCL_Q89_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 377 | CBCL_Q90_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 378 | CBCL_Q94_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 379 | CBCL_Q95_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 380 | CBCL_Q96_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 381 | Com1_Attack | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 382 | Com2_Destroy | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 383 | Com3_Disobeys | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 384 | Com4_Steals | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 385 | Com5_Peer | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 386 | CBCL_Q01_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 387 | CBCL_Q04_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 388 | CBCL_Q09_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 389 | CBCL_Q13_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 390 | CBCL_Q17_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 391 | CBCL_Q36_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 392 | CBCL_Q46_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 393 | CBCL_Q61_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 394 | CBCL_Q62_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 395 | CBCL_Q64_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 396 | CBCL_Q66_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 397 | CBCL_Q80_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 398 | CBCL_Q85_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 399 | CBCL_Q93_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 400 | Com6_Distracted | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 401 | CBCL_Q112_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 402 | CBCL_Q12_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 403 | CBCL_Q29_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 404 | CBCL_Q30_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 405 | CBCL_Q31_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 406 | CBCL_Q32_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 407 | CBCL_Q35_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 408 | CBCL_Q45_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 409 | CBCL_Q50_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 410 | CBCL_Q52_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 411 | CBCL_Q71_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 412 | CBCL_Q51_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 413 | CBCL_Q56A_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 414 | CBCL_Q56B_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 415 | CBCL_Q56C_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 416 | CBCL_Q56D_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 417 | CBCL_Q56E_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 418 | CBCL_Q56F_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 419 | CBCL_Q56G_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 420 | CBCL_Q56H_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 421 | CBCL_Q102_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 422 | CBCL_Q111_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 423 | CBCL_Q42_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 424 | CBCL_Q65_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 425 | CBCL_Q75_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 426 | Ext | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 427 | NDe | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 428 | Int | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 429 | Som | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 430 | Det | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 431 | P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 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
## 0.8477285 0.8747468 0.97511612.2 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 70 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of free parameters 217
##
## Used Total
## Number of observations 4438 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 13172.743 9638.959
## Degrees of freedom 2267 2267
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.563
## Shift parameter 1210.035
## simple second-order correction
##
## Model Test Baseline Model:
##
## Test statistic 371825.293 103901.316
## Degrees of freedom 2346 2346
## P-value 0.000 0.000
## Scaling correction factor 3.638
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.970 0.927
## Tucker-Lewis Index (TLI) 0.969 0.925
##
## 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 0.081 0.081
##
## 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 0.717 0.022 32.568 0.000
## CBCL_Q109_P 0.820 0.020 40.460 0.000
## CBCL_Q15_P 0.858 0.059 14.566 0.000
## CBCL_Q16_P 0.932 0.027 35.149 0.000
## CBCL_Q19_P 0.942 0.019 48.857 0.000
## CBCL_Q26_P 0.890 0.024 36.914 0.000
## CBCL_Q27_P 0.908 0.021 44.222 0.000
## CBCL_Q34_P 0.898 0.033 27.418 0.000
## CBCL_Q37_P 1.011 0.034 29.876 0.000
## CBCL_Q39_P 0.686 0.034 20.111 0.000
## CBCL_Q43_P 0.898 0.020 44.292 0.000
## CBCL_Q67_P 0.998 0.076 13.095 0.000
## CBCL_Q68_P 0.988 0.022 45.229 0.000
## CBCL_Q72_P 0.598 0.077 7.788 0.000
## CBCL_Q74_P 0.724 0.022 33.385 0.000
## CBCL_Q86_P 1.006 0.016 61.320 0.000
## CBCL_Q87_P 0.997 0.020 50.437 0.000
## CBCL_Q88_P 0.952 0.022 42.545 0.000
## CBCL_Q89_P 0.990 0.038 26.065 0.000
## CBCL_Q90_P 0.745 0.033 22.305 0.000
## CBCL_Q94_P 0.776 0.028 27.598 0.000
## CBCL_Q95_P 0.985 0.017 59.082 0.000
## CBCL_Q96_P 0.776 0.068 11.352 0.000
## Com1_Attack 0.962 0.026 37.012 0.000
## Com2_Destroy 0.970 0.030 31.820 0.000
## Com3_Disobeys 1.024 0.017 58.862 0.000
## Com4_Steals 0.897 0.034 26.139 0.000
## Com5_Peer 0.956 0.023 41.129 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.120 0.032 34.738 0.000
## CBCL_Q09_P 1.129 0.033 33.742 0.000
## CBCL_Q13_P 1.069 0.045 23.858 0.000
## CBCL_Q17_P 0.872 0.034 25.902 0.000
## CBCL_Q36_P 0.839 0.035 23.909 0.000
## CBCL_Q46_P 0.959 0.040 24.138 0.000
## CBCL_Q61_P 1.069 0.036 29.389 0.000
## CBCL_Q62_P 0.999 0.035 28.373 0.000
## CBCL_Q64_P 0.899 0.036 25.275 0.000
## CBCL_Q66_P 1.078 0.044 24.395 0.000
## CBCL_Q80_P 1.045 0.040 26.194 0.000
## CBCL_Q85_P 1.058 0.044 23.967 0.000
## CBCL_Q93_P 0.906 0.032 28.055 0.000
## Com6_Distractd 1.199 0.033 36.635 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.983 0.030 32.295 0.000
## CBCL_Q29_P 0.784 0.027 28.501 0.000
## CBCL_Q30_P 0.883 0.044 20.227 0.000
## CBCL_Q31_P 0.860 0.033 26.384 0.000
## CBCL_Q32_P 0.658 0.025 26.440 0.000
## CBCL_Q35_P 1.032 0.026 40.286 0.000
## CBCL_Q45_P 1.063 0.023 46.325 0.000
## CBCL_Q50_P 1.042 0.020 51.645 0.000
## CBCL_Q52_P 0.877 0.033 26.781 0.000
## CBCL_Q71_P 0.911 0.022 41.288 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 0.962 0.075 12.881 0.000
## CBCL_Q56B_P 0.878 0.066 13.388 0.000
## CBCL_Q56C_P 1.243 0.085 14.711 0.000
## CBCL_Q56D_P 0.692 0.082 8.442 0.000
## CBCL_Q56E_P 0.593 0.061 9.699 0.000
## CBCL_Q56F_P 1.131 0.075 15.136 0.000
## CBCL_Q56G_P 0.777 0.077 10.110 0.000
## CBCL_Q56H_P 0.973 0.103 9.455 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.146 0.049 23.628 0.000
## CBCL_Q42_P 0.832 0.040 20.898 0.000
## CBCL_Q65_P 1.036 0.051 20.116 0.000
## CBCL_Q75_P 0.798 0.041 19.552 0.000
## Std.lv Std.all
##
## 0.779 0.779
## 0.559 0.559
## 0.639 0.639
## 0.669 0.669
## 0.727 0.727
## 0.734 0.734
## 0.694 0.694
## 0.707 0.707
## 0.700 0.700
## 0.788 0.788
## 0.535 0.535
## 0.700 0.700
## 0.778 0.778
## 0.770 0.770
## 0.466 0.466
## 0.564 0.564
## 0.784 0.784
## 0.777 0.777
## 0.742 0.742
## 0.771 0.771
## 0.581 0.581
## 0.605 0.605
## 0.768 0.768
## 0.605 0.605
## 0.750 0.750
## 0.756 0.756
## 0.799 0.799
## 0.699 0.699
## 0.745 0.745
##
## 0.670 0.670
## 0.751 0.751
## 0.757 0.757
## 0.717 0.717
## 0.584 0.584
## 0.563 0.563
## 0.643 0.643
## 0.717 0.717
## 0.669 0.669
## 0.603 0.603
## 0.723 0.723
## 0.700 0.700
## 0.709 0.709
## 0.607 0.607
## 0.804 0.804
##
## 0.770 0.770
## 0.757 0.757
## 0.603 0.603
## 0.680 0.680
## 0.663 0.663
## 0.507 0.507
## 0.794 0.794
## 0.818 0.818
## 0.802 0.802
## 0.675 0.675
## 0.702 0.702
##
## 0.686 0.686
## 0.660 0.660
## 0.602 0.602
## 0.853 0.853
## 0.474 0.474
## 0.407 0.407
## 0.776 0.776
## 0.533 0.533
## 0.667 0.667
##
## 0.761 0.761
## 0.872 0.872
## 0.633 0.633
## 0.788 0.788
## 0.607 0.607
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## Ext ~~
## NDe 0.388 0.013 29.088 0.000
## Int 0.367 0.012 30.803 0.000
## Som 0.228 0.019 12.312 0.000
## Det 0.337 0.019 18.125 0.000
## NDe ~~
## Int 0.334 0.013 25.953 0.000
## Som 0.215 0.017 12.309 0.000
## Det 0.318 0.018 17.402 0.000
## Int ~~
## Som 0.293 0.022 13.333 0.000
## Det 0.412 0.020 21.068 0.000
## Som ~~
## Det 0.244 0.023 10.450 0.000
## Std.lv Std.all
##
## 0.743 0.743
## 0.611 0.611
## 0.427 0.427
## 0.569 0.569
##
## 0.647 0.647
## 0.468 0.468
## 0.623 0.623
##
## 0.554 0.554
## 0.703 0.703
##
## 0.468 0.468
##
## 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 0.109 0.019 5.792 0.000
## CBCL_Q03_P|t2 1.362 0.027 50.906 0.000
## CBCL_Q07_P|t1 0.616 0.020 30.554 0.000
## CBCL_Q07_P|t2 2.021 0.042 47.884 0.000
## CBCL_Q109_P|t1 0.523 0.020 26.426 0.000
## CBCL_Q109_P|t2 1.948 0.040 49.047 0.000
## CBCL_Q15_P|t1 2.374 0.059 40.339 0.000
## CBCL_Q15_P|t2 3.320 0.197 16.817 0.000
## CBCL_Q16_P|t1 1.451 0.028 51.600 0.000
## CBCL_Q16_P|t2 2.756 0.091 30.413 0.000
## CBCL_Q19_P|t1 0.769 0.021 36.663 0.000
## CBCL_Q19_P|t2 1.771 0.035 51.123 0.000
## CBCL_Q26_P|t1 1.221 0.025 49.003 0.000
## CBCL_Q26_P|t2 2.266 0.053 42.918 0.000
## CBCL_Q27_P|t1 0.789 0.021 37.365 0.000
## CBCL_Q27_P|t2 1.941 0.039 49.157 0.000
## CBCL_Q34_P|t1 1.613 0.031 51.925 0.000
## CBCL_Q34_P|t2 2.687 0.083 32.231 0.000
## CBCL_Q37_P|t1 1.933 0.039 49.264 0.000
## CBCL_Q37_P|t2 3.000 0.124 24.132 0.000
## CBCL_Q39_P|t1 1.531 0.029 51.913 0.000
## CBCL_Q39_P|t2 2.687 0.083 32.231 0.000
## CBCL_Q43_P|t1 0.739 0.021 35.503 0.000
## CBCL_Q43_P|t2 2.128 0.046 45.902 0.000
## CBCL_Q67_P|t1 2.629 0.078 33.768 0.000
## CBCL_Q67_P|t2 3.508 0.266 13.190 0.000
## CBCL_Q68_P|t1 1.269 0.025 49.753 0.000
## CBCL_Q68_P|t2 2.211 0.050 44.160 0.000
## CBCL_Q72_P|t1 2.647 0.080 33.282 0.000
## CBCL_Q72_P|t2 3.508 0.266 13.190 0.000
## CBCL_Q74_P|t1 0.568 0.020 28.453 0.000
## CBCL_Q74_P|t2 1.825 0.036 50.615 0.000
## CBCL_Q86_P|t1 0.387 0.019 20.030 0.000
## CBCL_Q86_P|t2 1.739 0.034 51.367 0.000
## CBCL_Q87_P|t1 0.867 0.022 40.076 0.000
## CBCL_Q87_P|t2 2.021 0.042 47.884 0.000
## CBCL_Q88_P|t1 1.101 0.024 46.640 0.000
## CBCL_Q88_P|t2 2.218 0.050 44.016 0.000
## CBCL_Q89_P|t1 1.930 0.039 49.316 0.000
## CBCL_Q89_P|t2 2.756 0.091 30.413 0.000
## CBCL_Q90_P|t1 1.546 0.030 51.938 0.000
## CBCL_Q90_P|t2 2.394 0.060 39.859 0.000
## CBCL_Q94_P|t1 1.281 0.026 49.935 0.000
## CBCL_Q94_P|t2 2.435 0.063 38.812 0.000
## CBCL_Q95_P|t1 0.616 0.020 30.525 0.000
## CBCL_Q95_P|t2 1.771 0.035 51.123 0.000
## CBCL_Q96_P|t1 2.494 0.067 37.303 0.000
## CBCL_Q96_P|t2 3.320 0.197 16.817 0.000
## Com1_Attack|t1 1.490 0.029 51.793 0.000
## Com1_Attack|t2 2.874 0.105 27.320 0.000
## Com2_Destry|t1 1.704 0.033 51.588 0.000
## Com2_Destry|t2 3.000 0.124 24.132 0.000
## Com3_Disbys|t1 0.752 0.021 36.014 0.000
## Com3_Disbys|t2 2.365 0.058 40.569 0.000
## Com4_Steals|t1 1.714 0.033 51.531 0.000
## Com4_Steals|t2 2.952 0.117 25.315 0.000
## Com5_Peer|t1 1.118 0.024 47.011 0.000
## Com5_Peer|t2 2.458 0.064 38.238 0.000
## CBCL_Q01_P|t1 0.801 0.021 37.813 0.000
## CBCL_Q01_P|t2 1.992 0.041 48.377 0.000
## CBCL_Q04_P|t1 0.237 0.019 12.476 0.000
## CBCL_Q04_P|t2 1.598 0.031 51.945 0.000
## CBCL_Q09_P|t1 0.624 0.020 30.874 0.000
## CBCL_Q09_P|t2 1.685 0.033 51.688 0.000
## CBCL_Q13_P|t1 1.678 0.032 51.720 0.000
## CBCL_Q13_P|t2 2.534 0.070 36.264 0.000
## CBCL_Q17_P|t1 0.573 0.020 28.658 0.000
## CBCL_Q17_P|t2 1.779 0.035 51.053 0.000
## CBCL_Q36_P|t1 1.008 0.023 44.321 0.000
## CBCL_Q36_P|t2 2.057 0.044 47.248 0.000
## CBCL_Q46_P|t1 1.270 0.026 49.772 0.000
## CBCL_Q46_P|t2 2.117 0.046 46.115 0.000
## CBCL_Q61_P|t1 1.202 0.025 48.677 0.000
## CBCL_Q61_P|t2 2.218 0.050 44.016 0.000
## CBCL_Q62_P|t1 1.198 0.025 48.614 0.000
## CBCL_Q62_P|t2 2.150 0.047 45.451 0.000
## CBCL_Q64_P|t1 1.009 0.023 44.347 0.000
## CBCL_Q64_P|t2 2.173 0.048 44.964 0.000
## CBCL_Q66_P|t1 1.569 0.030 51.956 0.000
## CBCL_Q66_P|t2 2.305 0.055 42.022 0.000
## CBCL_Q80_P|t1 1.422 0.028 51.416 0.000
## CBCL_Q80_P|t2 2.534 0.070 36.264 0.000
## CBCL_Q85_P|t1 1.537 0.030 51.924 0.000
## CBCL_Q85_P|t2 2.708 0.086 31.661 0.000
## CBCL_Q93_P|t1 0.623 0.020 30.845 0.000
## CBCL_Q93_P|t2 1.669 0.032 51.760 0.000
## Cm6_Dstrctd|t1 0.335 0.019 17.468 0.000
## Cm6_Dstrctd|t2 1.533 0.030 51.917 0.000
## CBCL_Q112_P|t1 0.273 0.019 14.302 0.000
## CBCL_Q112_P|t2 1.647 0.032 51.842 0.000
## CBCL_Q12_P|t1 1.192 0.025 48.489 0.000
## CBCL_Q12_P|t2 2.274 0.053 42.747 0.000
## CBCL_Q29_P|t1 0.884 0.022 40.646 0.000
## CBCL_Q29_P|t2 2.086 0.045 46.711 0.000
## CBCL_Q30_P|t1 1.734 0.034 51.402 0.000
## CBCL_Q30_P|t2 2.687 0.083 32.231 0.000
## CBCL_Q31_P|t1 1.360 0.027 50.877 0.000
## CBCL_Q31_P|t2 2.507 0.068 36.969 0.000
## CBCL_Q32_P|t1 0.480 0.020 24.479 0.000
## CBCL_Q32_P|t2 1.674 0.032 51.741 0.000
## CBCL_Q35_P|t1 1.064 0.023 45.759 0.000
## CBCL_Q35_P|t2 2.321 0.056 41.633 0.000
## CBCL_Q45_P|t1 0.813 0.021 38.230 0.000
## CBCL_Q45_P|t2 1.987 0.041 48.443 0.000
## CBCL_Q50_P|t1 0.715 0.021 34.592 0.000
## CBCL_Q50_P|t2 1.891 0.038 49.838 0.000
## CBCL_Q52_P|t1 1.430 0.028 51.470 0.000
## CBCL_Q52_P|t2 2.494 0.067 37.303 0.000
## CBCL_Q71_P|t1 0.117 0.019 6.183 0.000
## CBCL_Q71_P|t2 1.510 0.029 51.859 0.000
## CBCL_Q51_P|t1 1.737 0.034 51.384 0.000
## CBCL_Q51_P|t2 2.911 0.110 26.369 0.000
## CBCL_Q56A_P|t1 0.948 0.022 42.646 0.000
## CBCL_Q56A_P|t2 2.186 0.049 44.707 0.000
## CBCL_Q56B_P|t1 0.583 0.020 29.096 0.000
## CBCL_Q56B_P|t2 2.039 0.043 47.577 0.000
## CBCL_Q56C_P|t1 1.077 0.023 46.072 0.000
## CBCL_Q56C_P|t2 2.347 0.057 41.011 0.000
## CBCL_Q56D_P|t1 1.885 0.038 49.923 0.000
## CBCL_Q56D_P|t2 2.579 0.073 35.096 0.000
## CBCL_Q56E_P|t1 1.073 0.023 45.976 0.000
## CBCL_Q56E_P|t2 2.139 0.047 45.680 0.000
## CBCL_Q56F_P|t1 0.717 0.021 34.649 0.000
## CBCL_Q56F_P|t2 2.086 0.045 46.711 0.000
## CBCL_Q56G_P|t1 1.729 0.034 51.436 0.000
## CBCL_Q56G_P|t2 3.000 0.124 24.132 0.000
## CBCL_Q56H_P|t1 1.983 0.041 48.508 0.000
## CBCL_Q56H_P|t2 2.708 0.086 31.661 0.000
## CBCL_Q102_P|t1 1.520 0.029 51.889 0.000
## CBCL_Q102_P|t2 2.534 0.070 36.264 0.000
## CBCL_Q111_P|t1 1.544 0.030 51.935 0.000
## CBCL_Q111_P|t2 2.731 0.088 31.057 0.000
## CBCL_Q42_P|t1 0.948 0.022 42.646 0.000
## CBCL_Q42_P|t2 2.224 0.051 43.869 0.000
## CBCL_Q65_P|t1 1.455 0.028 51.628 0.000
## CBCL_Q65_P|t2 2.549 0.071 35.890 0.000
## CBCL_Q75_P|t1 0.862 0.022 39.939 0.000
## CBCL_Q75_P|t2 2.043 0.043 47.497 0.000
## Std.lv Std.all
## 0.109 0.109
## 1.362 1.362
## 0.616 0.616
## 2.021 2.021
## 0.523 0.523
## 1.948 1.948
## 2.374 2.374
## 3.320 3.320
## 1.451 1.451
## 2.756 2.756
## 0.769 0.769
## 1.771 1.771
## 1.221 1.221
## 2.266 2.266
## 0.789 0.789
## 1.941 1.941
## 1.613 1.613
## 2.687 2.687
## 1.933 1.933
## 3.000 3.000
## 1.531 1.531
## 2.687 2.687
## 0.739 0.739
## 2.128 2.128
## 2.629 2.629
## 3.508 3.508
## 1.269 1.269
## 2.211 2.211
## 2.647 2.647
## 3.508 3.508
## 0.568 0.568
## 1.825 1.825
## 0.387 0.387
## 1.739 1.739
## 0.867 0.867
## 2.021 2.021
## 1.101 1.101
## 2.218 2.218
## 1.930 1.930
## 2.756 2.756
## 1.546 1.546
## 2.394 2.394
## 1.281 1.281
## 2.435 2.435
## 0.616 0.616
## 1.771 1.771
## 2.494 2.494
## 3.320 3.320
## 1.490 1.490
## 2.874 2.874
## 1.704 1.704
## 3.000 3.000
## 0.752 0.752
## 2.365 2.365
## 1.714 1.714
## 2.952 2.952
## 1.118 1.118
## 2.458 2.458
## 0.801 0.801
## 1.992 1.992
## 0.237 0.237
## 1.598 1.598
## 0.624 0.624
## 1.685 1.685
## 1.678 1.678
## 2.534 2.534
## 0.573 0.573
## 1.779 1.779
## 1.008 1.008
## 2.057 2.057
## 1.270 1.270
## 2.117 2.117
## 1.202 1.202
## 2.218 2.218
## 1.198 1.198
## 2.150 2.150
## 1.009 1.009
## 2.173 2.173
## 1.569 1.569
## 2.305 2.305
## 1.422 1.422
## 2.534 2.534
## 1.537 1.537
## 2.708 2.708
## 0.623 0.623
## 1.669 1.669
## 0.335 0.335
## 1.533 1.533
## 0.273 0.273
## 1.647 1.647
## 1.192 1.192
## 2.274 2.274
## 0.884 0.884
## 2.086 2.086
## 1.734 1.734
## 2.687 2.687
## 1.360 1.360
## 2.507 2.507
## 0.480 0.480
## 1.674 1.674
## 1.064 1.064
## 2.321 2.321
## 0.813 0.813
## 1.987 1.987
## 0.715 0.715
## 1.891 1.891
## 1.430 1.430
## 2.494 2.494
## 0.117 0.117
## 1.510 1.510
## 1.737 1.737
## 2.911 2.911
## 0.948 0.948
## 2.186 2.186
## 0.583 0.583
## 2.039 2.039
## 1.077 1.077
## 2.347 2.347
## 1.885 1.885
## 2.579 2.579
## 1.073 1.073
## 2.139 2.139
## 0.717 0.717
## 2.086 2.086
## 1.729 1.729
## 3.000 3.000
## 1.983 1.983
## 2.708 2.708
## 1.520 1.520
## 2.534 2.534
## 1.544 1.544
## 2.731 2.731
## 0.948 0.948
## 2.224 2.224
## 1.455 1.455
## 2.549 2.549
## 0.862 0.862
## 2.043 2.043
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .CBCL_Q03_P 0.392
## .CBCL_Q07_P 0.688
## .CBCL_Q109_P 0.592
## .CBCL_Q15_P 0.552
## .CBCL_Q16_P 0.472
## .CBCL_Q19_P 0.461
## .CBCL_Q26_P 0.518
## .CBCL_Q27_P 0.500
## .CBCL_Q34_P 0.510
## .CBCL_Q37_P 0.378
## .CBCL_Q39_P 0.714
## .CBCL_Q43_P 0.511
## .CBCL_Q67_P 0.394
## .CBCL_Q68_P 0.407
## .CBCL_Q72_P 0.783
## .CBCL_Q74_P 0.682
## .CBCL_Q86_P 0.385
## .CBCL_Q87_P 0.396
## .CBCL_Q88_P 0.450
## .CBCL_Q89_P 0.405
## .CBCL_Q90_P 0.663
## .CBCL_Q94_P 0.634
## .CBCL_Q95_P 0.410
## .CBCL_Q96_P 0.634
## .Com1_Attack 0.438
## .Com2_Destroy 0.428
## .Com3_Disobeys 0.362
## .Com4_Steals 0.512
## .Com5_Peer 0.445
## .CBCL_Q01_P 0.551
## .CBCL_Q04_P 0.437
## .CBCL_Q09_P 0.428
## .CBCL_Q13_P 0.486
## .CBCL_Q17_P 0.659
## .CBCL_Q36_P 0.683
## .CBCL_Q46_P 0.586
## .CBCL_Q61_P 0.486
## .CBCL_Q62_P 0.552
## .CBCL_Q64_P 0.637
## .CBCL_Q66_P 0.478
## .CBCL_Q80_P 0.510
## .CBCL_Q85_P 0.497
## .CBCL_Q93_P 0.631
## .Com6_Distractd 0.354
## .CBCL_Q112_P 0.407
## .CBCL_Q12_P 0.427
## .CBCL_Q29_P 0.636
## .CBCL_Q30_P 0.537
## .CBCL_Q31_P 0.561
## .CBCL_Q32_P 0.743
## .CBCL_Q35_P 0.369
## .CBCL_Q45_P 0.331
## .CBCL_Q50_P 0.356
## .CBCL_Q52_P 0.544
## .CBCL_Q71_P 0.508
## .CBCL_Q51_P 0.530
## .CBCL_Q56A_P 0.565
## .CBCL_Q56B_P 0.638
## .CBCL_Q56C_P 0.273
## .CBCL_Q56D_P 0.775
## .CBCL_Q56E_P 0.835
## .CBCL_Q56F_P 0.398
## .CBCL_Q56G_P 0.716
## .CBCL_Q56H_P 0.555
## .CBCL_Q102_P 0.421
## .CBCL_Q111_P 0.240
## .CBCL_Q42_P 0.599
## .CBCL_Q65_P 0.379
## .CBCL_Q75_P 0.631
## Ext 0.608 0.015 39.647 0.000
## NDe 0.449 0.023 19.969 0.000
## Int 0.593 0.018 33.852 0.000
## Som 0.470 0.059 7.977 0.000
## Det 0.579 0.041 14.031 0.000
## Std.lv Std.all
## 0.392 0.392
## 0.688 0.688
## 0.592 0.592
## 0.552 0.552
## 0.472 0.472
## 0.461 0.461
## 0.518 0.518
## 0.500 0.500
## 0.510 0.510
## 0.378 0.378
## 0.714 0.714
## 0.511 0.511
## 0.394 0.394
## 0.407 0.407
## 0.783 0.783
## 0.682 0.682
## 0.385 0.385
## 0.396 0.396
## 0.450 0.450
## 0.405 0.405
## 0.663 0.663
## 0.634 0.634
## 0.410 0.410
## 0.634 0.634
## 0.438 0.438
## 0.428 0.428
## 0.362 0.362
## 0.512 0.512
## 0.445 0.445
## 0.551 0.551
## 0.437 0.437
## 0.428 0.428
## 0.486 0.486
## 0.659 0.659
## 0.683 0.683
## 0.586 0.586
## 0.486 0.486
## 0.552 0.552
## 0.637 0.637
## 0.478 0.478
## 0.510 0.510
## 0.497 0.497
## 0.631 0.631
## 0.354 0.354
## 0.407 0.407
## 0.427 0.427
## 0.636 0.636
## 0.537 0.537
## 0.561 0.561
## 0.743 0.743
## 0.369 0.369
## 0.331 0.331
## 0.356 0.356
## 0.544 0.544
## 0.508 0.508
## 0.530 0.530
## 0.565 0.565
## 0.638 0.638
## 0.273 0.273
## 0.775 0.775
## 0.835 0.835
## 0.398 0.398
## 0.716 0.716
## 0.555 0.555
## 0.421 0.421
## 0.240 0.240
## 0.599 0.599
## 0.379 0.379
## 0.631 0.631
## 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 0.608
## CBCL_Q07_P 0.312
## CBCL_Q109_P 0.408
## CBCL_Q15_P 0.448
## CBCL_Q16_P 0.528
## CBCL_Q19_P 0.539
## CBCL_Q26_P 0.482
## CBCL_Q27_P 0.500
## CBCL_Q34_P 0.490
## CBCL_Q37_P 0.622
## CBCL_Q39_P 0.286
## CBCL_Q43_P 0.489
## CBCL_Q67_P 0.606
## CBCL_Q68_P 0.593
## CBCL_Q72_P 0.217
## CBCL_Q74_P 0.318
## CBCL_Q86_P 0.615
## CBCL_Q87_P 0.604
## CBCL_Q88_P 0.550
## CBCL_Q89_P 0.595
## CBCL_Q90_P 0.337
## CBCL_Q94_P 0.366
## CBCL_Q95_P 0.590
## CBCL_Q96_P 0.366
## Com1_Attack 0.562
## Com2_Destroy 0.572
## Com3_Disobeys 0.638
## Com4_Steals 0.488
## Com5_Peer 0.555
## CBCL_Q01_P 0.449
## CBCL_Q04_P 0.563
## CBCL_Q09_P 0.572
## CBCL_Q13_P 0.514
## CBCL_Q17_P 0.341
## CBCL_Q36_P 0.317
## CBCL_Q46_P 0.414
## CBCL_Q61_P 0.514
## CBCL_Q62_P 0.448
## CBCL_Q64_P 0.363
## CBCL_Q66_P 0.522
## CBCL_Q80_P 0.490
## CBCL_Q85_P 0.503
## CBCL_Q93_P 0.369
## Com6_Distractd 0.646
## CBCL_Q112_P 0.593
## CBCL_Q12_P 0.573
## CBCL_Q29_P 0.364
## CBCL_Q30_P 0.463
## CBCL_Q31_P 0.439
## CBCL_Q32_P 0.257
## CBCL_Q35_P 0.631
## CBCL_Q45_P 0.669
## CBCL_Q50_P 0.644
## CBCL_Q52_P 0.456
## CBCL_Q71_P 0.492
## CBCL_Q51_P 0.470
## CBCL_Q56A_P 0.435
## CBCL_Q56B_P 0.362
## CBCL_Q56C_P 0.727
## CBCL_Q56D_P 0.225
## CBCL_Q56E_P 0.165
## CBCL_Q56F_P 0.602
## CBCL_Q56G_P 0.284
## CBCL_Q56H_P 0.445
## CBCL_Q102_P 0.579
## CBCL_Q111_P 0.760
## CBCL_Q42_P 0.401
## CBCL_Q65_P 0.621
## CBCL_Q75_P 0.369knitr::kable(lavaan::standardizedSolution(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")| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Ext | =~ | CBCL_Q03_P | 0.7794353 | 0.0098296 | 79.294462 | 0.0000000 | 0.7601696 | 0.7987011 |
| 2 | Ext | =~ | CBCL_Q07_P | 0.5588914 | 0.0164930 | 33.886647 | 0.0000000 | 0.5265658 | 0.5912170 |
| 3 | Ext | =~ | CBCL_Q109_P | 0.6389871 | 0.0146074 | 43.743955 | 0.0000000 | 0.6103571 | 0.6676172 |
| 4 | Ext | =~ | CBCL_Q15_P | 0.6691267 | 0.0452349 | 14.792269 | 0.0000000 | 0.5804679 | 0.7577854 |
| 5 | Ext | =~ | CBCL_Q16_P | 0.7267030 | 0.0190015 | 38.244423 | 0.0000000 | 0.6894607 | 0.7639453 |
| 6 | Ext | =~ | CBCL_Q19_P | 0.7339505 | 0.0134489 | 54.573124 | 0.0000000 | 0.7075911 | 0.7603099 |
| 7 | Ext | =~ | CBCL_Q26_P | 0.6939332 | 0.0176981 | 39.209482 | 0.0000000 | 0.6592456 | 0.7286208 |
| 8 | Ext | =~ | CBCL_Q27_P | 0.7073441 | 0.0142103 | 49.776946 | 0.0000000 | 0.6794924 | 0.7351957 |
| 9 | Ext | =~ | CBCL_Q34_P | 0.6997573 | 0.0234535 | 29.835989 | 0.0000000 | 0.6537893 | 0.7457252 |
| 10 | Ext | =~ | CBCL_Q37_P | 0.7883723 | 0.0245160 | 32.157422 | 0.0000000 | 0.7403217 | 0.8364228 |
| 11 | Ext | =~ | CBCL_Q39_P | 0.5345156 | 0.0260735 | 20.500328 | 0.0000000 | 0.4834124 | 0.5856187 |
| 12 | Ext | =~ | CBCL_Q43_P | 0.6996099 | 0.0140861 | 49.666739 | 0.0000000 | 0.6720016 | 0.7272181 |
| 13 | Ext | =~ | CBCL_Q67_P | 0.7781837 | 0.0582451 | 13.360507 | 0.0000000 | 0.6640254 | 0.8923419 |
| 14 | Ext | =~ | CBCL_Q68_P | 0.7700298 | 0.0151511 | 50.823201 | 0.0000000 | 0.7403341 | 0.7997255 |
| 15 | Ext | =~ | CBCL_Q72_P | 0.4657494 | 0.0597347 | 7.796964 | 0.0000000 | 0.3486715 | 0.5828272 |
| 16 | Ext | =~ | CBCL_Q74_P | 0.5642734 | 0.0162327 | 34.761579 | 0.0000000 | 0.5324579 | 0.5960888 |
| 17 | Ext | =~ | CBCL_Q86_P | 0.7842459 | 0.0100985 | 77.659588 | 0.0000000 | 0.7644532 | 0.8040386 |
| 18 | Ext | =~ | CBCL_Q87_P | 0.7769676 | 0.0124416 | 62.449182 | 0.0000000 | 0.7525825 | 0.8013527 |
| 19 | Ext | =~ | CBCL_Q88_P | 0.7417138 | 0.0153600 | 48.288675 | 0.0000000 | 0.7116088 | 0.7718189 |
| 20 | Ext | =~ | CBCL_Q89_P | 0.7713400 | 0.0276177 | 27.929163 | 0.0000000 | 0.7172102 | 0.8254698 |
| 21 | Ext | =~ | CBCL_Q90_P | 0.5806884 | 0.0255630 | 22.715971 | 0.0000000 | 0.5305858 | 0.6307909 |
| 22 | Ext | =~ | CBCL_Q94_P | 0.6051714 | 0.0216480 | 27.955027 | 0.0000000 | 0.5627420 | 0.6476007 |
| 23 | Ext | =~ | CBCL_Q95_P | 0.7678357 | 0.0106607 | 72.025127 | 0.0000000 | 0.7469412 | 0.7887302 |
| 24 | Ext | =~ | CBCL_Q96_P | 0.6046127 | 0.0520985 | 11.605192 | 0.0000000 | 0.5025016 | 0.7067239 |
| 25 | Ext | =~ | Com1_Attack | 0.7496453 | 0.0185950 | 40.314357 | 0.0000000 | 0.7131998 | 0.7860908 |
| 26 | Ext | =~ | Com2_Destroy | 0.7560168 | 0.0217465 | 34.764933 | 0.0000000 | 0.7133944 | 0.7986392 |
| 27 | Ext | =~ | Com3_Disobeys | 0.7985210 | 0.0113926 | 70.091421 | 0.0000000 | 0.7761920 | 0.8208501 |
| 28 | Ext | =~ | Com4_Steals | 0.6988565 | 0.0248354 | 28.139563 | 0.0000000 | 0.6501801 | 0.7475329 |
| 29 | Ext | =~ | Com5_Peer | 0.7448802 | 0.0160008 | 46.552815 | 0.0000000 | 0.7135193 | 0.7762411 |
| 30 | NDe | =~ | CBCL_Q01_P | 0.6703180 | 0.0167843 | 39.937274 | 0.0000000 | 0.6374215 | 0.7032146 |
| 31 | NDe | =~ | CBCL_Q04_P | 0.7505876 | 0.0124290 | 60.390008 | 0.0000000 | 0.7262272 | 0.7749480 |
| 32 | NDe | =~ | CBCL_Q09_P | 0.7565852 | 0.0133294 | 56.760762 | 0.0000000 | 0.7304601 | 0.7827103 |
| 33 | NDe | =~ | CBCL_Q13_P | 0.7168874 | 0.0257102 | 27.883423 | 0.0000000 | 0.6664964 | 0.7672784 |
| 34 | NDe | =~ | CBCL_Q17_P | 0.5843118 | 0.0170812 | 34.207963 | 0.0000000 | 0.5508333 | 0.6177902 |
| 35 | NDe | =~ | CBCL_Q36_P | 0.5626526 | 0.0208089 | 27.039064 | 0.0000000 | 0.5218680 | 0.6034373 |
| 36 | NDe | =~ | CBCL_Q46_P | 0.6431040 | 0.0224785 | 28.609733 | 0.0000000 | 0.5990470 | 0.6871611 |
| 37 | NDe | =~ | CBCL_Q61_P | 0.7166255 | 0.0188982 | 37.920285 | 0.0000000 | 0.6795857 | 0.7536653 |
| 38 | NDe | =~ | CBCL_Q62_P | 0.6694119 | 0.0197609 | 33.875504 | 0.0000000 | 0.6306811 | 0.7081426 |
| 39 | NDe | =~ | CBCL_Q64_P | 0.6028502 | 0.0201187 | 29.964735 | 0.0000000 | 0.5634183 | 0.6422820 |
| 40 | NDe | =~ | CBCL_Q66_P | 0.7225987 | 0.0237633 | 30.408203 | 0.0000000 | 0.6760235 | 0.7691738 |
| 41 | NDe | =~ | CBCL_Q80_P | 0.7002093 | 0.0216381 | 32.360041 | 0.0000000 | 0.6577995 | 0.7426192 |
| 42 | NDe | =~ | CBCL_Q85_P | 0.7089513 | 0.0246558 | 28.753951 | 0.0000000 | 0.6606269 | 0.7572758 |
| 43 | NDe | =~ | CBCL_Q93_P | 0.6073999 | 0.0166954 | 36.381214 | 0.0000000 | 0.5746775 | 0.6401223 |
| 44 | NDe | =~ | Com6_Distracted | 0.8039556 | 0.0105086 | 76.504242 | 0.0000000 | 0.7833591 | 0.8245522 |
| 45 | Int | =~ | CBCL_Q112_P | 0.7699728 | 0.0113725 | 67.704580 | 0.0000000 | 0.7476830 | 0.7922626 |
| 46 | Int | =~ | CBCL_Q12_P | 0.7566948 | 0.0202663 | 37.337642 | 0.0000000 | 0.7169736 | 0.7964159 |
| 47 | Int | =~ | CBCL_Q29_P | 0.6034151 | 0.0194182 | 31.074686 | 0.0000000 | 0.5653561 | 0.6414741 |
| 48 | Int | =~ | CBCL_Q30_P | 0.6801778 | 0.0317208 | 21.442636 | 0.0000000 | 0.6180062 | 0.7423494 |
| 49 | Int | =~ | CBCL_Q31_P | 0.6625523 | 0.0234495 | 28.254456 | 0.0000000 | 0.6165922 | 0.7085125 |
| 50 | Int | =~ | CBCL_Q32_P | 0.5066771 | 0.0181023 | 27.989669 | 0.0000000 | 0.4711973 | 0.5421570 |
| 51 | Int | =~ | CBCL_Q35_P | 0.7944205 | 0.0162830 | 48.788212 | 0.0000000 | 0.7625063 | 0.8263347 |
| 52 | Int | =~ | CBCL_Q45_P | 0.8181726 | 0.0133327 | 61.365769 | 0.0000000 | 0.7920410 | 0.8443043 |
| 53 | Int | =~ | CBCL_Q50_P | 0.8024917 | 0.0118620 | 67.652473 | 0.0000000 | 0.7792427 | 0.8257408 |
| 54 | Int | =~ | CBCL_Q52_P | 0.6750100 | 0.0231352 | 29.176804 | 0.0000000 | 0.6296659 | 0.7203540 |
| 55 | Int | =~ | CBCL_Q71_P | 0.7015235 | 0.0139641 | 50.237742 | 0.0000000 | 0.6741544 | 0.7288926 |
| 56 | Som | =~ | CBCL_Q51_P | 0.6856980 | 0.0429782 | 15.954565 | 0.0000000 | 0.6014623 | 0.7699336 |
| 57 | Som | =~ | CBCL_Q56A_P | 0.6596712 | 0.0262064 | 25.172122 | 0.0000000 | 0.6083075 | 0.7110348 |
| 58 | Som | =~ | CBCL_Q56B_P | 0.6018952 | 0.0234984 | 25.614311 | 0.0000000 | 0.5558392 | 0.6479512 |
| 59 | Som | =~ | CBCL_Q56C_P | 0.8525767 | 0.0185062 | 46.069838 | 0.0000000 | 0.8163052 | 0.8888481 |
| 60 | Som | =~ | CBCL_Q56D_P | 0.4742523 | 0.0538186 | 8.812054 | 0.0000000 | 0.3687698 | 0.5797347 |
| 61 | Som | =~ | CBCL_Q56E_P | 0.4067949 | 0.0327371 | 12.426128 | 0.0000000 | 0.3426314 | 0.4709583 |
| 62 | Som | =~ | CBCL_Q56F_P | 0.7756093 | 0.0167987 | 46.170785 | 0.0000000 | 0.7426845 | 0.8085342 |
| 63 | Som | =~ | CBCL_Q56G_P | 0.5325748 | 0.0414172 | 12.858795 | 0.0000000 | 0.4513987 | 0.6137510 |
| 64 | Som | =~ | CBCL_Q56H_P | 0.6669295 | 0.0518435 | 12.864275 | 0.0000000 | 0.5653180 | 0.7685410 |
| 65 | Det | =~ | CBCL_Q102_P | 0.7607729 | 0.0271110 | 28.061420 | 0.0000000 | 0.7076363 | 0.8139094 |
| 66 | Det | =~ | CBCL_Q111_P | 0.8718152 | 0.0220568 | 39.525917 | 0.0000000 | 0.8285846 | 0.9150457 |
| 67 | Det | =~ | CBCL_Q42_P | 0.6329442 | 0.0210792 | 30.026909 | 0.0000000 | 0.5916297 | 0.6742587 |
| 68 | Det | =~ | CBCL_Q65_P | 0.7880997 | 0.0266776 | 29.541598 | 0.0000000 | 0.7358126 | 0.8403869 |
| 69 | Det | =~ | CBCL_Q75_P | 0.6074294 | 0.0224491 | 27.058072 | 0.0000000 | 0.5634300 | 0.6514289 |
| 70 | CBCL_Q03_P | | | t1 | 0.1092252 | 0.0188563 | 5.792498 | 0.0000000 | 0.0722675 | 0.1461829 |
| 71 | CBCL_Q03_P | | | t2 | 1.3624658 | 0.0267645 | 50.905762 | 0.0000000 | 1.3100084 | 1.4149232 |
| 72 | CBCL_Q07_P | | | t1 | 0.6164015 | 0.0201739 | 30.554341 | 0.0000000 | 0.5768613 | 0.6559417 |
| 73 | CBCL_Q07_P | | | t2 | 2.0211646 | 0.0422093 | 47.884359 | 0.0000000 | 1.9384359 | 2.1038933 |
| 74 | CBCL_Q109_P | | | t1 | 0.5227163 | 0.0197801 | 26.426381 | 0.0000000 | 0.4839480 | 0.5614846 |
| 75 | CBCL_Q109_P | | | t2 | 1.9483383 | 0.0397236 | 49.047336 | 0.0000000 | 1.8704814 | 2.0261952 |
| 76 | CBCL_Q15_P | | | t1 | 2.3744423 | 0.0588624 | 40.338845 | 0.0000000 | 2.2590740 | 2.4898105 |
| 77 | CBCL_Q15_P | | | t2 | 3.3196490 | 0.1973997 | 16.816894 | 0.0000000 | 2.9327528 | 3.7065452 |
| 78 | CBCL_Q16_P | | | t1 | 1.4505219 | 0.0281109 | 51.600061 | 0.0000000 | 1.3954257 | 1.5056182 |
| 79 | CBCL_Q16_P | | | t2 | 2.7555980 | 0.0906056 | 30.413125 | 0.0000000 | 2.5780144 | 2.9331816 |
| 80 | CBCL_Q19_P | | | t1 | 0.7694261 | 0.0209864 | 36.663060 | 0.0000000 | 0.7282935 | 0.8105587 |
| 81 | CBCL_Q19_P | | | t2 | 1.7706971 | 0.0346363 | 51.122624 | 0.0000000 | 1.7028112 | 1.8385829 |
| 82 | CBCL_Q26_P | | | t1 | 1.2207726 | 0.0249124 | 49.002525 | 0.0000000 | 1.1719451 | 1.2696000 |
| 83 | CBCL_Q26_P | | | t2 | 2.2662843 | 0.0528046 | 42.918304 | 0.0000000 | 2.1627892 | 2.3697795 |
| 84 | CBCL_Q27_P | | | t1 | 0.7885517 | 0.0211038 | 37.365319 | 0.0000000 | 0.7471890 | 0.8299145 |
| 85 | CBCL_Q27_P | | | t2 | 1.9408556 | 0.0394826 | 49.157249 | 0.0000000 | 1.8634711 | 2.0182400 |
| 86 | CBCL_Q34_P | | | t1 | 1.6127222 | 0.0310585 | 51.925267 | 0.0000000 | 1.5518486 | 1.6735958 |
| 87 | CBCL_Q34_P | | | t2 | 2.6869648 | 0.0833648 | 32.231419 | 0.0000000 | 2.5235729 | 2.8503567 |
| 88 | CBCL_Q37_P | | | t1 | 1.9334799 | 0.0392475 | 49.263772 | 0.0000000 | 1.8565562 | 2.0104036 |
| 89 | CBCL_Q37_P | | | t2 | 2.9995350 | 0.1242947 | 24.132435 | 0.0000000 | 2.7559218 | 3.2431482 |
| 90 | CBCL_Q39_P | | | t1 | 1.5311501 | 0.0294944 | 51.913323 | 0.0000000 | 1.4733422 | 1.5889579 |
| 91 | CBCL_Q39_P | | | t2 | 2.6869648 | 0.0833648 | 32.231419 | 0.0000000 | 2.5235729 | 2.8503567 |
| 92 | CBCL_Q43_P | | | t1 | 0.7386539 | 0.0208052 | 35.503413 | 0.0000000 | 0.6978766 | 0.7794313 |
| 93 | CBCL_Q43_P | | | t2 | 2.1278641 | 0.0463571 | 45.901540 | 0.0000000 | 2.0370057 | 2.2187224 |
| 94 | CBCL_Q67_P | | | t1 | 2.6290485 | 0.0778567 | 33.767799 | 0.0000000 | 2.4764522 | 2.7816447 |
| 95 | CBCL_Q67_P | | | t2 | 3.5084928 | 0.2659998 | 13.189833 | 0.0000000 | 2.9871428 | 4.0298428 |
| 96 | CBCL_Q68_P | | | t1 | 1.2685638 | 0.0254971 | 49.753278 | 0.0000000 | 1.2185905 | 1.3185372 |
| 97 | CBCL_Q68_P | | | t2 | 2.2109513 | 0.0500672 | 44.159651 | 0.0000000 | 2.1128214 | 2.3090813 |
| 98 | CBCL_Q72_P | | | t1 | 2.6473822 | 0.0795446 | 33.281749 | 0.0000000 | 2.4914777 | 2.8032867 |
| 99 | CBCL_Q72_P | | | t2 | 3.5084928 | 0.2659998 | 13.189833 | 0.0000000 | 2.9871428 | 4.0298428 |
| 100 | CBCL_Q74_P | | | t1 | 0.5679387 | 0.0199609 | 28.452566 | 0.0000000 | 0.5288160 | 0.6070613 |
| 101 | CBCL_Q74_P | | | t2 | 1.8246844 | 0.0360503 | 50.614939 | 0.0000000 | 1.7540271 | 1.8953417 |
| 102 | CBCL_Q86_P | | | t1 | 0.3873288 | 0.0193375 | 20.029964 | 0.0000000 | 0.3494280 | 0.4252295 |
| 103 | CBCL_Q86_P | | | t2 | 1.7390900 | 0.0338565 | 51.366516 | 0.0000000 | 1.6727325 | 1.8054475 |
| 104 | CBCL_Q87_P | | | t1 | 0.8665110 | 0.0216219 | 40.075640 | 0.0000000 | 0.8241329 | 0.9088891 |
| 105 | CBCL_Q87_P | | | t2 | 2.0211646 | 0.0422093 | 47.884359 | 0.0000000 | 1.9384359 | 2.1038933 |
| 106 | CBCL_Q88_P | | | t1 | 1.1011239 | 0.0236089 | 46.640133 | 0.0000000 | 1.0548513 | 1.1473966 |
| 107 | CBCL_Q88_P | | | t2 | 2.2175057 | 0.0503798 | 44.015776 | 0.0000000 | 2.1187631 | 2.3162483 |
| 108 | CBCL_Q89_P | | | t1 | 1.9298312 | 0.0391321 | 49.315798 | 0.0000000 | 1.8531336 | 2.0065287 |
| 109 | CBCL_Q89_P | | | t2 | 2.7555980 | 0.0906056 | 30.413125 | 0.0000000 | 2.5780144 | 2.9331816 |
| 110 | CBCL_Q90_P | | | t1 | 1.5459068 | 0.0297645 | 51.937911 | 0.0000000 | 1.4875694 | 1.6042442 |
| 111 | CBCL_Q90_P | | | t2 | 2.3938145 | 0.0600570 | 39.859033 | 0.0000000 | 2.2761050 | 2.5115241 |
| 112 | CBCL_Q94_P | | | t1 | 1.2812948 | 0.0256595 | 49.934585 | 0.0000000 | 1.2310032 | 1.3315865 |
| 113 | CBCL_Q94_P | | | t2 | 2.4354917 | 0.0627513 | 38.811809 | 0.0000000 | 2.3125014 | 2.5584821 |
| 114 | CBCL_Q95_P | | | t1 | 0.6157187 | 0.0201708 | 30.525250 | 0.0000000 | 0.5761846 | 0.6552527 |
| 115 | CBCL_Q95_P | | | t2 | 1.7706971 | 0.0346363 | 51.122624 | 0.0000000 | 1.7028112 | 1.8385829 |
| 116 | CBCL_Q96_P | | | t1 | 2.4943643 | 0.0668674 | 37.303139 | 0.0000000 | 2.3633066 | 2.6254220 |
| 117 | CBCL_Q96_P | | | t2 | 3.3196490 | 0.1973997 | 16.816894 | 0.0000000 | 2.9327528 | 3.7065452 |
| 118 | Com1_Attack | | | t1 | 1.4904828 | 0.0287775 | 51.793380 | 0.0000000 | 1.4340800 | 1.5468856 |
| 119 | Com1_Attack | | | t2 | 2.8737826 | 0.1051889 | 27.320208 | 0.0000000 | 2.6676161 | 3.0799490 |
| 120 | Com2_Destroy | | | t1 | 1.7042838 | 0.0330365 | 51.587962 | 0.0000000 | 1.6395335 | 1.7690341 |
| 121 | Com2_Destroy | | | t2 | 2.9995350 | 0.1242947 | 24.132435 | 0.0000000 | 2.7559218 | 3.2431482 |
| 122 | Com3_Disobeys | | | t1 | 0.7520759 | 0.0208831 | 36.013679 | 0.0000000 | 0.7111459 | 0.7930060 |
| 123 | Com3_Disobeys | | | t2 | 2.3650808 | 0.0582978 | 40.568980 | 0.0000000 | 2.2508193 | 2.4793423 |
| 124 | Com4_Steals | | | t1 | 1.7140178 | 0.0332618 | 51.531082 | 0.0000000 | 1.6488258 | 1.7792097 |
| 125 | Com4_Steals | | | t2 | 2.9522598 | 0.1166213 | 25.314923 | 0.0000000 | 2.7236862 | 3.1808334 |
| 126 | Com5_Peer | | | t1 | 1.1178472 | 0.0237782 | 47.011458 | 0.0000000 | 1.0712428 | 1.1644516 |
| 127 | Com5_Peer | | | t2 | 2.4580273 | 0.0642824 | 38.237978 | 0.0000000 | 2.3320362 | 2.5840184 |
| 128 | CBCL_Q01_P | | | t1 | 0.8009448 | 0.0211819 | 37.812659 | 0.0000000 | 0.7594290 | 0.8424606 |
| 129 | CBCL_Q01_P | | | t2 | 1.9915787 | 0.0411681 | 48.376750 | 0.0000000 | 1.9108907 | 2.0722667 |
| 130 | CBCL_Q04_P | | | t1 | 0.2371658 | 0.0190090 | 12.476477 | 0.0000000 | 0.1999088 | 0.2744228 |
| 131 | CBCL_Q04_P | | | t2 | 1.5983755 | 0.0307706 | 51.944921 | 0.0000000 | 1.5380662 | 1.6586847 |
| 132 | CBCL_Q09_P | | | t1 | 0.6239318 | 0.0202089 | 30.874136 | 0.0000000 | 0.5843231 | 0.6635405 |
| 133 | CBCL_Q09_P | | | t2 | 1.6852865 | 0.0326053 | 51.687526 | 0.0000000 | 1.6213813 | 1.7491917 |
| 134 | CBCL_Q13_P | | | t1 | 1.6783168 | 0.0324499 | 51.720227 | 0.0000000 | 1.6147162 | 1.7419175 |
| 135 | CBCL_Q13_P | | | t2 | 2.5343276 | 0.0698862 | 36.263611 | 0.0000000 | 2.3973530 | 2.6713021 |
| 136 | CBCL_Q17_P | | | t1 | 0.5725904 | 0.0199805 | 28.657509 | 0.0000000 | 0.5334294 | 0.6117514 |
| 137 | CBCL_Q17_P | | | t2 | 1.7788819 | 0.0348439 | 51.052960 | 0.0000000 | 1.7105892 | 1.8471746 |
| 138 | CBCL_Q36_P | | | t1 | 1.0075828 | 0.0227336 | 44.321395 | 0.0000000 | 0.9630258 | 1.0521397 |
| 139 | CBCL_Q36_P | | | t2 | 2.0572987 | 0.0435426 | 47.247906 | 0.0000000 | 1.9719567 | 2.1426407 |
| 140 | CBCL_Q46_P | | | t1 | 1.2698277 | 0.0255131 | 49.771629 | 0.0000000 | 1.2198230 | 1.3198324 |
| 141 | CBCL_Q46_P | | | t2 | 2.1171200 | 0.0459097 | 46.114889 | 0.0000000 | 2.0271387 | 2.2071014 |
| 142 | CBCL_Q61_P | | | t1 | 1.2019508 | 0.0246926 | 48.676501 | 0.0000000 | 1.1535541 | 1.2503474 |
| 143 | CBCL_Q61_P | | | t2 | 2.2175057 | 0.0503798 | 44.015776 | 0.0000000 | 2.1187631 | 2.3162483 |
| 144 | CBCL_Q62_P | | | t1 | 1.1984688 | 0.0246526 | 48.614311 | 0.0000000 | 1.1501506 | 1.2467870 |
| 145 | CBCL_Q62_P | | | t2 | 2.1501198 | 0.0473068 | 45.450580 | 0.0000000 | 2.0574002 | 2.2428393 |
| 146 | CBCL_Q64_P | | | t1 | 1.0085216 | 0.0227418 | 44.346676 | 0.0000000 | 0.9639485 | 1.0530946 |
| 147 | CBCL_Q64_P | | | t2 | 2.1734944 | 0.0483382 | 44.964326 | 0.0000000 | 2.0787533 | 2.2682355 |
| 148 | CBCL_Q66_P | | | t1 | 1.5686941 | 0.0301926 | 51.956286 | 0.0000000 | 1.5095177 | 1.6278704 |
| 149 | CBCL_Q66_P | | | t2 | 2.3047476 | 0.0548460 | 42.022193 | 0.0000000 | 2.1972515 | 2.4122437 |
| 150 | CBCL_Q80_P | | | t1 | 1.4220050 | 0.0276569 | 51.415847 | 0.0000000 | 1.3677984 | 1.4762117 |
| 151 | CBCL_Q80_P | | | t2 | 2.5343276 | 0.0698862 | 36.263611 | 0.0000000 | 2.3973530 | 2.6713021 |
| 152 | CBCL_Q85_P | | | t1 | 1.5366447 | 0.0295943 | 51.923649 | 0.0000000 | 1.4786409 | 1.5946484 |
| 153 | CBCL_Q85_P | | | t2 | 2.7084514 | 0.0855443 | 31.661398 | 0.0000000 | 2.5407877 | 2.8761151 |
| 154 | CBCL_Q93_P | | | t1 | 0.6232458 | 0.0202057 | 30.845080 | 0.0000000 | 0.5836434 | 0.6628482 |
| 155 | CBCL_Q93_P | | | t2 | 1.6691489 | 0.0322478 | 51.760087 | 0.0000000 | 1.6059444 | 1.7323534 |
| 156 | Com6_Distracted | | | t1 | 0.3354720 | 0.0192053 | 17.467655 | 0.0000000 | 0.2978303 | 0.3731138 |
| 157 | Com6_Distracted | | | t2 | 1.5329764 | 0.0295275 | 51.916910 | 0.0000000 | 1.4751036 | 1.5908493 |
| 158 | CBCL_Q112_P | | | t1 | 0.2727592 | 0.0190720 | 14.301523 | 0.0000000 | 0.2353787 | 0.3101397 |
| 159 | CBCL_Q112_P | | | t2 | 1.6468231 | 0.0317662 | 51.842037 | 0.0000000 | 1.5845625 | 1.7090837 |
| 160 | CBCL_Q12_P | | | t1 | 1.1915481 | 0.0245736 | 48.488968 | 0.0000000 | 1.1433847 | 1.2397115 |
| 161 | CBCL_Q12_P | | | t2 | 2.2737117 | 0.0531896 | 42.747270 | 0.0000000 | 2.1694619 | 2.3779615 |
| 162 | CBCL_Q29_P | | | t1 | 0.8839073 | 0.0217464 | 40.646053 | 0.0000000 | 0.8412850 | 0.9265295 |
| 163 | CBCL_Q29_P | | | t2 | 2.0862765 | 0.0446635 | 46.710974 | 0.0000000 | 1.9987376 | 2.1738154 |
| 164 | CBCL_Q30_P | | | t1 | 1.7339879 | 0.0337338 | 51.402098 | 0.0000000 | 1.6678709 | 1.8001049 |
| 165 | CBCL_Q30_P | | | t2 | 2.6869648 | 0.0833648 | 32.231419 | 0.0000000 | 2.5235729 | 2.8503567 |
| 166 | CBCL_Q31_P | | | t1 | 1.3596136 | 0.0267235 | 50.877043 | 0.0000000 | 1.3072365 | 1.4119907 |
| 167 | CBCL_Q31_P | | | t2 | 2.5072447 | 0.0678197 | 36.969269 | 0.0000000 | 2.3743206 | 2.6401689 |
| 168 | CBCL_Q32_P | | | t1 | 0.4804396 | 0.0196263 | 24.479389 | 0.0000000 | 0.4419728 | 0.5189064 |
| 169 | CBCL_Q32_P | | | t2 | 1.6737153 | 0.0323481 | 51.740682 | 0.0000000 | 1.6103141 | 1.7371165 |
| 170 | CBCL_Q35_P | | | t1 | 1.0635846 | 0.0232434 | 45.758562 | 0.0000000 | 1.0180284 | 1.1091409 |
| 171 | CBCL_Q35_P | | | t2 | 2.3211379 | 0.0557526 | 41.632847 | 0.0000000 | 2.2118648 | 2.4304109 |
| 172 | CBCL_Q45_P | | | t1 | 0.8126761 | 0.0212573 | 38.230453 | 0.0000000 | 0.7710126 | 0.8543396 |
| 173 | CBCL_Q45_P | | | t2 | 1.9874915 | 0.0410277 | 48.442668 | 0.0000000 | 1.9070787 | 2.0679043 |
| 174 | CBCL_Q50_P | | | t1 | 0.7151148 | 0.0206727 | 34.592152 | 0.0000000 | 0.6745970 | 0.7556327 |
| 175 | CBCL_Q50_P | | | t2 | 1.8912952 | 0.0379492 | 49.837555 | 0.0000000 | 1.8169161 | 1.9656743 |
| 176 | CBCL_Q52_P | | | t1 | 1.4298101 | 0.0277794 | 51.470117 | 0.0000000 | 1.3753635 | 1.4842568 |
| 177 | CBCL_Q52_P | | | t2 | 2.4943643 | 0.0668674 | 37.303139 | 0.0000000 | 2.3633066 | 2.6254220 |
| 178 | CBCL_Q71_P | | | t1 | 0.1166147 | 0.0188620 | 6.182507 | 0.0000000 | 0.0796458 | 0.1535836 |
| 179 | CBCL_Q71_P | | | t2 | 1.5096210 | 0.0291099 | 51.859410 | 0.0000000 | 1.4525667 | 1.5666753 |
| 180 | CBCL_Q51_P | | | t1 | 1.7365333 | 0.0337949 | 51.384479 | 0.0000000 | 1.6702965 | 1.8027701 |
| 181 | CBCL_Q51_P | | | t2 | 2.9107843 | 0.1103877 | 26.368736 | 0.0000000 | 2.6944284 | 3.1271403 |
| 182 | CBCL_Q56A_P | | | t1 | 0.9483579 | 0.0222380 | 42.645846 | 0.0000000 | 0.9047723 | 0.9919436 |
| 183 | CBCL_Q56A_P | | | t2 | 2.1856418 | 0.0488884 | 44.706717 | 0.0000000 | 2.0898222 | 2.2814614 |
| 184 | CBCL_Q56B_P | | | t1 | 0.5826005 | 0.0200232 | 29.096257 | 0.0000000 | 0.5433558 | 0.6218453 |
| 185 | CBCL_Q56B_P | | | t2 | 2.0388989 | 0.0428550 | 47.576698 | 0.0000000 | 1.9549047 | 2.1228932 |
| 186 | CBCL_Q56C_P | | | t1 | 1.0766013 | 0.0233679 | 46.071742 | 0.0000000 | 1.0308010 | 1.1224016 |
| 187 | CBCL_Q56C_P | | | t2 | 2.3469569 | 0.0572273 | 41.011139 | 0.0000000 | 2.2347934 | 2.4591203 |
| 188 | CBCL_Q56D_P | | | t1 | 1.8845823 | 0.0377497 | 49.923166 | 0.0000000 | 1.8105943 | 1.9585703 |
| 189 | CBCL_Q56D_P | | | t2 | 2.5788014 | 0.0734785 | 35.096020 | 0.0000000 | 2.4347863 | 2.7228166 |
| 190 | CBCL_Q56E_P | | | t1 | 1.0725768 | 0.0233292 | 45.975760 | 0.0000000 | 1.0268525 | 1.1183012 |
| 191 | CBCL_Q56E_P | | | t2 | 2.1388595 | 0.0468224 | 45.680242 | 0.0000000 | 2.0470893 | 2.2306298 |
| 192 | CBCL_Q56F_P | | | t1 | 0.7165744 | 0.0206808 | 34.649253 | 0.0000000 | 0.6760407 | 0.7571080 |
| 193 | CBCL_Q56F_P | | | t2 | 2.0862765 | 0.0446635 | 46.710974 | 0.0000000 | 1.9987376 | 2.1738154 |
| 194 | CBCL_Q56G_P | | | t1 | 1.7289305 | 0.0336130 | 51.436316 | 0.0000000 | 1.6630501 | 1.7948108 |
| 195 | CBCL_Q56G_P | | | t2 | 2.9995350 | 0.1242947 | 24.132435 | 0.0000000 | 2.7559218 | 3.2431482 |
| 196 | CBCL_Q56H_P | | | t1 | 1.9834372 | 0.0408893 | 48.507540 | 0.0000000 | 1.9032958 | 2.0635787 |
| 197 | CBCL_Q56H_P | | | t2 | 2.7084514 | 0.0855443 | 31.661398 | 0.0000000 | 2.5407877 | 2.8761151 |
| 198 | CBCL_Q102_P | | | t1 | 1.5202975 | 0.0292991 | 51.888831 | 0.0000000 | 1.4628722 | 1.5777227 |
| 199 | CBCL_Q102_P | | | t2 | 2.5343276 | 0.0698862 | 36.263611 | 0.0000000 | 2.3973530 | 2.6713021 |
| 200 | CBCL_Q111_P | | | t1 | 1.5440437 | 0.0297301 | 51.935359 | 0.0000000 | 1.4857738 | 1.6023137 |
| 201 | CBCL_Q111_P | | | t2 | 2.7312662 | 0.0879443 | 31.056767 | 0.0000000 | 2.5588985 | 2.9036339 |
| 202 | CBCL_Q42_P | | | t1 | 0.9483579 | 0.0222380 | 42.645846 | 0.0000000 | 0.9047723 | 0.9919436 |
| 203 | CBCL_Q42_P | | | t2 | 2.2241567 | 0.0507001 | 43.868879 | 0.0000000 | 2.1247864 | 2.3235271 |
| 204 | CBCL_Q65_P | | | t1 | 1.4553909 | 0.0281901 | 51.627650 | 0.0000000 | 1.4001393 | 1.5106426 |
| 205 | CBCL_Q65_P | | | t2 | 2.5485982 | 0.0710113 | 35.890021 | 0.0000000 | 2.4094186 | 2.6877779 |
| 206 | CBCL_Q75_P | | | t1 | 0.8624076 | 0.0215930 | 39.939230 | 0.0000000 | 0.8200861 | 0.9047291 |
| 207 | CBCL_Q75_P | | | t2 | 2.0434343 | 0.0430228 | 47.496549 | 0.0000000 | 1.9591112 | 2.1277574 |
| 208 | CBCL_Q03_P | ~~ | CBCL_Q03_P | 0.3924806 | 0.0153231 | 25.613612 | 0.0000000 | 0.3624478 | 0.4225133 |
| 209 | CBCL_Q07_P | ~~ | CBCL_Q07_P | 0.6876404 | 0.0184356 | 37.299681 | 0.0000000 | 0.6515074 | 0.7237734 |
| 210 | CBCL_Q109_P | ~~ | CBCL_Q109_P | 0.5916954 | 0.0186679 | 31.695822 | 0.0000000 | 0.5551070 | 0.6282839 |
| 211 | CBCL_Q15_P | ~~ | CBCL_Q15_P | 0.5522695 | 0.0605357 | 9.123033 | 0.0000000 | 0.4336217 | 0.6709174 |
| 212 | CBCL_Q16_P | ~~ | CBCL_Q16_P | 0.4719028 | 0.0276170 | 17.087429 | 0.0000000 | 0.4177745 | 0.5260310 |
| 213 | CBCL_Q19_P | ~~ | CBCL_Q19_P | 0.4613167 | 0.0197417 | 23.367617 | 0.0000000 | 0.4226236 | 0.5000097 |
| 214 | CBCL_Q26_P | ~~ | CBCL_Q26_P | 0.5184567 | 0.0245626 | 21.107570 | 0.0000000 | 0.4703149 | 0.5665985 |
| 215 | CBCL_Q27_P | ~~ | CBCL_Q27_P | 0.4996644 | 0.0201031 | 24.855084 | 0.0000000 | 0.4602630 | 0.5390658 |
| 216 | CBCL_Q34_P | ~~ | CBCL_Q34_P | 0.5103397 | 0.0328235 | 15.548015 | 0.0000000 | 0.4460069 | 0.5746725 |
| 217 | CBCL_Q37_P | ~~ | CBCL_Q37_P | 0.3784692 | 0.0386555 | 9.790819 | 0.0000000 | 0.3027057 | 0.4542326 |
| 218 | CBCL_Q39_P | ~~ | CBCL_Q39_P | 0.7142931 | 0.0278734 | 25.626335 | 0.0000000 | 0.6596622 | 0.7689239 |
| 219 | CBCL_Q43_P | ~~ | CBCL_Q43_P | 0.5105460 | 0.0197095 | 25.903516 | 0.0000000 | 0.4719161 | 0.5491760 |
| 220 | CBCL_Q67_P | ~~ | CBCL_Q67_P | 0.3944302 | 0.0906507 | 4.351098 | 0.0000135 | 0.2167580 | 0.5721023 |
| 221 | CBCL_Q68_P | ~~ | CBCL_Q68_P | 0.4070541 | 0.0233337 | 17.444924 | 0.0000000 | 0.3613210 | 0.4527873 |
| 222 | CBCL_Q72_P | ~~ | CBCL_Q72_P | 0.7830775 | 0.0556428 | 14.073294 | 0.0000000 | 0.6740196 | 0.8921354 |
| 223 | CBCL_Q74_P | ~~ | CBCL_Q74_P | 0.6815956 | 0.0183193 | 37.206357 | 0.0000000 | 0.6456903 | 0.7175008 |
| 224 | CBCL_Q86_P | ~~ | CBCL_Q86_P | 0.3849583 | 0.0158394 | 24.303807 | 0.0000000 | 0.3539136 | 0.4160031 |
| 225 | CBCL_Q87_P | ~~ | CBCL_Q87_P | 0.3963214 | 0.0193334 | 20.499271 | 0.0000000 | 0.3584285 | 0.4342142 |
| 226 | CBCL_Q88_P | ~~ | CBCL_Q88_P | 0.4498606 | 0.0227854 | 19.743334 | 0.0000000 | 0.4052019 | 0.4945192 |
| 227 | CBCL_Q89_P | ~~ | CBCL_Q89_P | 0.4050346 | 0.0426053 | 9.506668 | 0.0000000 | 0.3215297 | 0.4885395 |
| 228 | CBCL_Q90_P | ~~ | CBCL_Q90_P | 0.6628010 | 0.0296883 | 22.325348 | 0.0000000 | 0.6046131 | 0.7209890 |
| 229 | CBCL_Q94_P | ~~ | CBCL_Q94_P | 0.6337676 | 0.0262015 | 24.188179 | 0.0000000 | 0.5824135 | 0.6851217 |
| 230 | CBCL_Q95_P | ~~ | CBCL_Q95_P | 0.4104283 | 0.0163713 | 25.070023 | 0.0000000 | 0.3783412 | 0.4425154 |
| 231 | CBCL_Q96_P | ~~ | CBCL_Q96_P | 0.6344434 | 0.0629988 | 10.070723 | 0.0000000 | 0.5109681 | 0.7579188 |
| 232 | Com1_Attack | ~~ | Com1_Attack | 0.4380319 | 0.0278793 | 15.711726 | 0.0000000 | 0.3833895 | 0.4926744 |
| 233 | Com2_Destroy | ~~ | Com2_Destroy | 0.4284386 | 0.0328815 | 13.029778 | 0.0000000 | 0.3639920 | 0.4928851 |
| 234 | Com3_Disobeys | ~~ | Com3_Disobeys | 0.3623642 | 0.0181944 | 19.916241 | 0.0000000 | 0.3267038 | 0.3980245 |
| 235 | Com4_Steals | ~~ | Com4_Steals | 0.5115996 | 0.0347127 | 14.738100 | 0.0000000 | 0.4435639 | 0.5796353 |
| 236 | Com5_Peer | ~~ | Com5_Peer | 0.4451535 | 0.0238373 | 18.674668 | 0.0000000 | 0.3984333 | 0.4918737 |
| 237 | CBCL_Q01_P | ~~ | CBCL_Q01_P | 0.5506737 | 0.0225016 | 24.472649 | 0.0000000 | 0.5065714 | 0.5947761 |
| 238 | CBCL_Q04_P | ~~ | CBCL_Q04_P | 0.4366182 | 0.0186581 | 23.400982 | 0.0000000 | 0.4000490 | 0.4731874 |
| 239 | CBCL_Q09_P | ~~ | CBCL_Q09_P | 0.4275788 | 0.0201696 | 21.199160 | 0.0000000 | 0.3880471 | 0.4671105 |
| 240 | CBCL_Q13_P | ~~ | CBCL_Q13_P | 0.4860725 | 0.0368626 | 13.186066 | 0.0000000 | 0.4138231 | 0.5583218 |
| 241 | CBCL_Q17_P | ~~ | CBCL_Q17_P | 0.6585798 | 0.0199614 | 32.992585 | 0.0000000 | 0.6194560 | 0.6977035 |
| 242 | CBCL_Q36_P | ~~ | CBCL_Q36_P | 0.6834220 | 0.0234163 | 29.185688 | 0.0000000 | 0.6375268 | 0.7293172 |
| 243 | CBCL_Q46_P | ~~ | CBCL_Q46_P | 0.5864172 | 0.0289120 | 20.282808 | 0.0000000 | 0.5297507 | 0.6430838 |
| 244 | CBCL_Q61_P | ~~ | CBCL_Q61_P | 0.4864479 | 0.0270859 | 17.959463 | 0.0000000 | 0.4333605 | 0.5395352 |
| 245 | CBCL_Q62_P | ~~ | CBCL_Q62_P | 0.5518877 | 0.0264564 | 20.860259 | 0.0000000 | 0.5000341 | 0.6037414 |
| 246 | CBCL_Q64_P | ~~ | CBCL_Q64_P | 0.6365717 | 0.0242571 | 26.242727 | 0.0000000 | 0.5890287 | 0.6841146 |
| 247 | CBCL_Q66_P | ~~ | CBCL_Q66_P | 0.4778512 | 0.0343426 | 13.914229 | 0.0000000 | 0.4105409 | 0.5451615 |
| 248 | CBCL_Q80_P | ~~ | CBCL_Q80_P | 0.5097069 | 0.0303024 | 16.820690 | 0.0000000 | 0.4503153 | 0.5690985 |
| 249 | CBCL_Q85_P | ~~ | CBCL_Q85_P | 0.4973880 | 0.0349595 | 14.227547 | 0.0000000 | 0.4288686 | 0.5659074 |
| 250 | CBCL_Q93_P | ~~ | CBCL_Q93_P | 0.6310654 | 0.0202816 | 31.115163 | 0.0000000 | 0.5913141 | 0.6708166 |
| 251 | Com6_Distracted | ~~ | Com6_Distracted | 0.3536554 | 0.0168970 | 20.930117 | 0.0000000 | 0.3205379 | 0.3867728 |
| 252 | CBCL_Q112_P | ~~ | CBCL_Q112_P | 0.4071419 | 0.0175131 | 23.247865 | 0.0000000 | 0.3728169 | 0.4414669 |
| 253 | CBCL_Q12_P | ~~ | CBCL_Q12_P | 0.4274130 | 0.0306708 | 13.935520 | 0.0000000 | 0.3672994 | 0.4875266 |
| 254 | CBCL_Q29_P | ~~ | CBCL_Q29_P | 0.6358902 | 0.0234345 | 27.134798 | 0.0000000 | 0.5899595 | 0.6818210 |
| 255 | CBCL_Q30_P | ~~ | CBCL_Q30_P | 0.5373582 | 0.0431516 | 12.452803 | 0.0000000 | 0.4527826 | 0.6219337 |
| 256 | CBCL_Q31_P | ~~ | CBCL_Q31_P | 0.5610244 | 0.0310730 | 18.055034 | 0.0000000 | 0.5001224 | 0.6219264 |
| 257 | CBCL_Q32_P | ~~ | CBCL_Q32_P | 0.7432783 | 0.0183440 | 40.518799 | 0.0000000 | 0.7073246 | 0.7792319 |
| 258 | CBCL_Q35_P | ~~ | CBCL_Q35_P | 0.3688961 | 0.0258712 | 14.258968 | 0.0000000 | 0.3181895 | 0.4196026 |
| 259 | CBCL_Q45_P | ~~ | CBCL_Q45_P | 0.3305936 | 0.0218169 | 15.153072 | 0.0000000 | 0.2878332 | 0.3733540 |
| 260 | CBCL_Q50_P | ~~ | CBCL_Q50_P | 0.3560070 | 0.0190383 | 18.699546 | 0.0000000 | 0.3186927 | 0.3933213 |
| 261 | CBCL_Q52_P | ~~ | CBCL_Q52_P | 0.5443615 | 0.0312329 | 17.429092 | 0.0000000 | 0.4831461 | 0.6055769 |
| 262 | CBCL_Q71_P | ~~ | CBCL_Q71_P | 0.5078648 | 0.0195923 | 25.921715 | 0.0000000 | 0.4694647 | 0.5462649 |
| 263 | CBCL_Q51_P | ~~ | CBCL_Q51_P | 0.5298183 | 0.0589401 | 8.989099 | 0.0000000 | 0.4142978 | 0.6453387 |
| 264 | CBCL_Q56A_P | ~~ | CBCL_Q56A_P | 0.5648339 | 0.0345752 | 16.336372 | 0.0000000 | 0.4970677 | 0.6326002 |
| 265 | CBCL_Q56B_P | ~~ | CBCL_Q56B_P | 0.6377222 | 0.0282871 | 22.544596 | 0.0000000 | 0.5822804 | 0.6931640 |
| 266 | CBCL_Q56C_P | ~~ | CBCL_Q56C_P | 0.2731131 | 0.0315559 | 8.654905 | 0.0000000 | 0.2112647 | 0.3349614 |
| 267 | CBCL_Q56D_P | ~~ | CBCL_Q56D_P | 0.7750848 | 0.0510472 | 15.183698 | 0.0000000 | 0.6750342 | 0.8751354 |
| 268 | CBCL_Q56E_P | ~~ | CBCL_Q56E_P | 0.8345179 | 0.0266345 | 31.332177 | 0.0000000 | 0.7823152 | 0.8867207 |
| 269 | CBCL_Q56F_P | ~~ | CBCL_Q56F_P | 0.3984302 | 0.0260585 | 15.289857 | 0.0000000 | 0.3473565 | 0.4495038 |
| 270 | CBCL_Q56G_P | ~~ | CBCL_Q56G_P | 0.7163640 | 0.0441155 | 16.238382 | 0.0000000 | 0.6298993 | 0.8028288 |
| 271 | CBCL_Q56H_P | ~~ | CBCL_Q56H_P | 0.5552050 | 0.0691520 | 8.028766 | 0.0000000 | 0.4196696 | 0.6907404 |
| 272 | CBCL_Q102_P | ~~ | CBCL_Q102_P | 0.4212246 | 0.0412506 | 10.211355 | 0.0000000 | 0.3403749 | 0.5020744 |
| 273 | CBCL_Q111_P | ~~ | CBCL_Q111_P | 0.2399383 | 0.0384589 | 6.238824 | 0.0000000 | 0.1645603 | 0.3153164 |
| 274 | CBCL_Q42_P | ~~ | CBCL_Q42_P | 0.5993816 | 0.0266840 | 22.462248 | 0.0000000 | 0.5470820 | 0.6516812 |
| 275 | CBCL_Q65_P | ~~ | CBCL_Q65_P | 0.3788988 | 0.0420493 | 9.010831 | 0.0000000 | 0.2964838 | 0.4613138 |
| 276 | CBCL_Q75_P | ~~ | CBCL_Q75_P | 0.6310295 | 0.0272725 | 23.137947 | 0.0000000 | 0.5775764 | 0.6844826 |
| 277 | Ext | ~~ | Ext | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 278 | NDe | ~~ | NDe | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 279 | Int | ~~ | Int | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 280 | Som | ~~ | Som | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 281 | Det | ~~ | Det | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 282 | Ext | ~~ | NDe | 0.7433487 | 0.0111258 | 66.813303 | 0.0000000 | 0.7215426 | 0.7651548 |
| 283 | Ext | ~~ | Int | 0.6107038 | 0.0143512 | 42.554237 | 0.0000000 | 0.5825760 | 0.6388316 |
| 284 | Ext | ~~ | Som | 0.4272301 | 0.0207405 | 20.598879 | 0.0000000 | 0.3865796 | 0.4678806 |
| 285 | Ext | ~~ | Det | 0.5687892 | 0.0200483 | 28.370879 | 0.0000000 | 0.5294952 | 0.6080832 |
| 286 | NDe | ~~ | Int | 0.6472615 | 0.0143500 | 45.105217 | 0.0000000 | 0.6191360 | 0.6753871 |
| 287 | NDe | ~~ | Som | 0.4680644 | 0.0202519 | 23.112127 | 0.0000000 | 0.4283714 | 0.5077574 |
| 288 | NDe | ~~ | Det | 0.6234003 | 0.0196832 | 31.671643 | 0.0000000 | 0.5848219 | 0.6619788 |
| 289 | Int | ~~ | Som | 0.5542456 | 0.0184180 | 30.092549 | 0.0000000 | 0.5181469 | 0.5903443 |
| 290 | Int | ~~ | Det | 0.7032809 | 0.0182037 | 38.634050 | 0.0000000 | 0.6676024 | 0.7389594 |
| 291 | Som | ~~ | Det | 0.4679721 | 0.0253415 | 18.466606 | 0.0000000 | 0.4183036 | 0.5176406 |
| 292 | CBCL_Q03_P | ~*~ | CBCL_Q03_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 293 | CBCL_Q07_P | ~*~ | CBCL_Q07_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 294 | CBCL_Q109_P | ~*~ | CBCL_Q109_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 295 | CBCL_Q15_P | ~*~ | CBCL_Q15_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 296 | CBCL_Q16_P | ~*~ | CBCL_Q16_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 297 | CBCL_Q19_P | ~*~ | CBCL_Q19_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 298 | CBCL_Q26_P | ~*~ | CBCL_Q26_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 299 | CBCL_Q27_P | ~*~ | CBCL_Q27_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 300 | CBCL_Q34_P | ~*~ | CBCL_Q34_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 301 | CBCL_Q37_P | ~*~ | CBCL_Q37_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 302 | CBCL_Q39_P | ~*~ | CBCL_Q39_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 303 | CBCL_Q43_P | ~*~ | CBCL_Q43_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 304 | CBCL_Q67_P | ~*~ | CBCL_Q67_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 305 | CBCL_Q68_P | ~*~ | CBCL_Q68_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 306 | CBCL_Q72_P | ~*~ | CBCL_Q72_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 307 | CBCL_Q74_P | ~*~ | CBCL_Q74_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 308 | CBCL_Q86_P | ~*~ | CBCL_Q86_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 309 | CBCL_Q87_P | ~*~ | CBCL_Q87_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 310 | CBCL_Q88_P | ~*~ | CBCL_Q88_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 311 | CBCL_Q89_P | ~*~ | CBCL_Q89_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 312 | CBCL_Q90_P | ~*~ | CBCL_Q90_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 313 | CBCL_Q94_P | ~*~ | CBCL_Q94_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 314 | CBCL_Q95_P | ~*~ | CBCL_Q95_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 315 | CBCL_Q96_P | ~*~ | CBCL_Q96_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 316 | Com1_Attack | ~*~ | Com1_Attack | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 317 | Com2_Destroy | ~*~ | Com2_Destroy | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 318 | Com3_Disobeys | ~*~ | Com3_Disobeys | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 319 | Com4_Steals | ~*~ | Com4_Steals | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 320 | Com5_Peer | ~*~ | Com5_Peer | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 321 | CBCL_Q01_P | ~*~ | CBCL_Q01_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 322 | CBCL_Q04_P | ~*~ | CBCL_Q04_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 323 | CBCL_Q09_P | ~*~ | CBCL_Q09_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 324 | CBCL_Q13_P | ~*~ | CBCL_Q13_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 325 | CBCL_Q17_P | ~*~ | CBCL_Q17_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 326 | CBCL_Q36_P | ~*~ | CBCL_Q36_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 327 | CBCL_Q46_P | ~*~ | CBCL_Q46_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 328 | CBCL_Q61_P | ~*~ | CBCL_Q61_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 329 | CBCL_Q62_P | ~*~ | CBCL_Q62_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 330 | CBCL_Q64_P | ~*~ | CBCL_Q64_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 331 | CBCL_Q66_P | ~*~ | CBCL_Q66_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 332 | CBCL_Q80_P | ~*~ | CBCL_Q80_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 333 | CBCL_Q85_P | ~*~ | CBCL_Q85_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 334 | CBCL_Q93_P | ~*~ | CBCL_Q93_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 335 | Com6_Distracted | ~*~ | Com6_Distracted | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 336 | CBCL_Q112_P | ~*~ | CBCL_Q112_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 337 | CBCL_Q12_P | ~*~ | CBCL_Q12_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 338 | CBCL_Q29_P | ~*~ | CBCL_Q29_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 339 | CBCL_Q30_P | ~*~ | CBCL_Q30_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 340 | CBCL_Q31_P | ~*~ | CBCL_Q31_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 341 | CBCL_Q32_P | ~*~ | CBCL_Q32_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 342 | CBCL_Q35_P | ~*~ | CBCL_Q35_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 343 | CBCL_Q45_P | ~*~ | CBCL_Q45_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 344 | CBCL_Q50_P | ~*~ | CBCL_Q50_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 345 | CBCL_Q52_P | ~*~ | CBCL_Q52_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 346 | CBCL_Q71_P | ~*~ | CBCL_Q71_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 347 | CBCL_Q51_P | ~*~ | CBCL_Q51_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 348 | CBCL_Q56A_P | ~*~ | CBCL_Q56A_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 349 | CBCL_Q56B_P | ~*~ | CBCL_Q56B_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 350 | CBCL_Q56C_P | ~*~ | CBCL_Q56C_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 351 | CBCL_Q56D_P | ~*~ | CBCL_Q56D_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 352 | CBCL_Q56E_P | ~*~ | CBCL_Q56E_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 353 | CBCL_Q56F_P | ~*~ | CBCL_Q56F_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 354 | CBCL_Q56G_P | ~*~ | CBCL_Q56G_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 355 | CBCL_Q56H_P | ~*~ | CBCL_Q56H_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 356 | CBCL_Q102_P | ~*~ | CBCL_Q102_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 357 | CBCL_Q111_P | ~*~ | CBCL_Q111_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 358 | CBCL_Q42_P | ~*~ | CBCL_Q42_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 359 | CBCL_Q65_P | ~*~ | CBCL_Q65_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 360 | CBCL_Q75_P | ~*~ | CBCL_Q75_P | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 361 | CBCL_Q03_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 362 | CBCL_Q07_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 363 | CBCL_Q109_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 364 | CBCL_Q15_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 365 | CBCL_Q16_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 366 | CBCL_Q19_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 367 | CBCL_Q26_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 368 | CBCL_Q27_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 369 | CBCL_Q34_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 370 | CBCL_Q37_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 371 | CBCL_Q39_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 372 | CBCL_Q43_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 373 | CBCL_Q67_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 374 | CBCL_Q68_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 375 | CBCL_Q72_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 376 | CBCL_Q74_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 377 | CBCL_Q86_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 378 | CBCL_Q87_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 379 | CBCL_Q88_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 380 | CBCL_Q89_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 381 | CBCL_Q90_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 382 | CBCL_Q94_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 383 | CBCL_Q95_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 384 | CBCL_Q96_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 385 | Com1_Attack | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 386 | Com2_Destroy | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 387 | Com3_Disobeys | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 388 | Com4_Steals | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 389 | Com5_Peer | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 390 | CBCL_Q01_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 391 | CBCL_Q04_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 392 | CBCL_Q09_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 393 | CBCL_Q13_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 394 | CBCL_Q17_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 395 | CBCL_Q36_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 396 | CBCL_Q46_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 397 | CBCL_Q61_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 398 | CBCL_Q62_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 399 | CBCL_Q64_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 400 | CBCL_Q66_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 401 | CBCL_Q80_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 402 | CBCL_Q85_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 403 | CBCL_Q93_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 404 | Com6_Distracted | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 405 | CBCL_Q112_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 406 | CBCL_Q12_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 407 | CBCL_Q29_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 408 | CBCL_Q30_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 409 | CBCL_Q31_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 410 | CBCL_Q32_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 411 | CBCL_Q35_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 412 | CBCL_Q45_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 413 | CBCL_Q50_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 414 | CBCL_Q52_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 415 | CBCL_Q71_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 416 | CBCL_Q51_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 417 | CBCL_Q56A_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 418 | CBCL_Q56B_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 419 | CBCL_Q56C_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 420 | CBCL_Q56D_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 421 | CBCL_Q56E_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 422 | CBCL_Q56F_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 423 | CBCL_Q56G_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 424 | CBCL_Q56H_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 425 | CBCL_Q102_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 426 | CBCL_Q111_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 427 | CBCL_Q42_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 428 | CBCL_Q65_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 429 | CBCL_Q75_P | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 430 | Ext | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 431 | NDe | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 432 | Int | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 433 | Som | ~1 | 0.0000000 | 0.0000000 | NA | NA | 0.0000000 | 0.0000000 | |
| 434 | Det | ~1 | 0.0000000 | 0.0000000 | NA | NA | 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 0.9630960 0.9241093 0.9110453 0.8320909 0.8376139
## omega 0.9088702 0.8489710 0.8295326 0.7006179 0.6449607
## omega2 0.9088702 0.8489710 0.8295326 0.7006179 0.6449607
## omega3 0.9266565 0.8739970 0.8416507 0.7297695 0.6566233
## avevar 0.4924678 0.4684042 0.5072883 0.4127678 0.54590542.2.2 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 38 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 36
##
## Used Total
## Number of observations 4434 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 1167.031 1025.416
## Degrees of freedom 100 100
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.138
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 17403.176 14887.287
## Degrees of freedom 120 120
## P-value 0.000 0.000
## Scaling correction factor 1.169
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.938 0.937
## Tucker-Lewis Index (TLI) 0.926 0.925
##
## Robust Comparative Fit Index (CFI) 0.939
## Robust Tucker-Lewis Index (TLI) 0.927
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -92539.102 -92539.102
## Scaling correction factor 1.085
## for the MLR correction
## Loglikelihood unrestricted model (H1) -91955.586 -91955.586
## Scaling correction factor 1.124
## for the MLR correction
##
## Akaike (AIC) 185150.204 185150.204
## Bayesian (BIC) 185380.498 185380.498
## Sample-size adjusted Bayesian (BIC) 185266.105 185266.105
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.049 0.046
## 90 Percent confidence interval - lower 0.047 0.043
## 90 Percent confidence interval - upper 0.052 0.048
## P-value RMSEA <= 0.05 0.726 0.999
##
## Robust RMSEA 0.049
## 90 Percent confidence interval - lower 0.046
## 90 Percent confidence interval - upper 0.051
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.036 0.036
##
## 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 1.008 0.028 35.727 0.000
## BISBAS11_Y 0.852 0.031 27.271 0.000
## BISBAS12_Y 1.104 0.030 36.439 0.000
## Drive =~
## BISBAS13_Y 1.000
## BISBAS14_Y 1.086 0.023 46.948 0.000
## BISBAS15_Y 0.985 0.026 37.483 0.000
## BISBAS16_Y 0.783 0.030 26.422 0.000
## Fun =~
## BISBAS17_Y 1.000
## BISBAS18_Y 1.198 0.047 25.351 0.000
## BISBAS19_Y 1.006 0.045 22.365 0.000
## BISBAS20_Y 0.979 0.037 26.767 0.000
## BIS =~
## BISBAS2_Y 1.000
## BISBAS3_Y 1.080 0.065 16.701 0.000
## BISBAS4_Y 1.133 0.066 17.080 0.000
## BISBAS6_Y 1.023 0.034 30.170 0.000
## BAS =~
## RR 0.559 0.016 34.704 0.000
## Drive 0.508 0.016 32.389 0.000
## Fun 0.431 0.018 23.867 0.000
## Std.lv Std.all
##
## 0.641 0.641
## 0.646 0.646
## 0.546 0.546
## 0.707 0.707
##
## 0.715 0.715
## 0.777 0.777
## 0.704 0.704
## 0.560 0.560
##
## 0.556 0.556
## 0.666 0.666
## 0.559 0.559
## 0.545 0.545
##
## 0.559 0.559
## 0.604 0.604
## 0.633 0.633
## 0.572 0.572
##
## 0.873 0.873
## 0.710 0.710
## 0.775 0.775
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## BIS ~~
## BAS 0.247 0.016 15.701 0.000
## Std.lv Std.all
##
## 0.442 0.442
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## BAS 1.000
## .BISBAS8_Y 0.589 0.018 33.216 0.000
## .BISBAS10_Y 0.582 0.018 32.091 0.000
## .BISBAS11_Y 0.701 0.021 32.811 0.000
## .BISBAS12_Y 0.499 0.017 30.024 0.000
## .BISBAS13_Y 0.489 0.016 30.474 0.000
## .BISBAS14_Y 0.397 0.015 25.643 0.000
## .BISBAS15_Y 0.504 0.016 32.493 0.000
## .BISBAS16_Y 0.686 0.022 30.747 0.000
## .BISBAS17_Y 0.691 0.018 39.067 0.000
## .BISBAS18_Y 0.556 0.019 29.627 0.000
## .BISBAS19_Y 0.687 0.019 36.659 0.000
## .BISBAS20_Y 0.703 0.019 37.082 0.000
## .BISBAS2_Y 0.688 0.023 29.895 0.000
## .BISBAS3_Y 0.636 0.022 29.115 0.000
## .BISBAS4_Y 0.599 0.023 25.989 0.000
## .BISBAS6_Y 0.673 0.023 29.339 0.000
## .RR 0.098 0.012 7.915 0.000
## .Drive 0.254 0.015 16.721 0.000
## .Fun 0.124 0.011 11.605 0.000
## BIS 0.312 0.024 13.216 0.000
## Std.lv Std.all
## 1.000 1.000
## 0.589 0.589
## 0.582 0.582
## 0.701 0.701
## 0.499 0.500
## 0.489 0.489
## 0.397 0.397
## 0.504 0.504
## 0.686 0.686
## 0.691 0.691
## 0.556 0.556
## 0.687 0.687
## 0.703 0.703
## 0.688 0.688
## 0.636 0.636
## 0.599 0.599
## 0.673 0.673
## 0.238 0.238
## 0.496 0.496
## 0.400 0.400
## 1.000 1.000
##
## R-Square:
## Estimate
## BISBAS8_Y 0.411
## BISBAS10_Y 0.418
## BISBAS11_Y 0.299
## BISBAS12_Y 0.500
## BISBAS13_Y 0.511
## BISBAS14_Y 0.603
## BISBAS15_Y 0.496
## BISBAS16_Y 0.314
## BISBAS17_Y 0.309
## BISBAS18_Y 0.444
## BISBAS19_Y 0.313
## BISBAS20_Y 0.297
## BISBAS2_Y 0.312
## BISBAS3_Y 0.364
## BISBAS4_Y 0.401
## BISBAS6_Y 0.327
## RR 0.762
## Drive 0.504
## Fun 0.600knitr::kable(lavaan::standardizedSolution(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")| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | RR | =~ | BISBAS8_Y | 0.6409777 | 0.0127171 | 50.402658 | 0 | 0.6160526 | 0.6659028 |
| 2 | RR | =~ | BISBAS10_Y | 0.6463509 | 0.0125313 | 51.578831 | 0 | 0.6217899 | 0.6709118 |
| 3 | RR | =~ | BISBAS11_Y | 0.5463862 | 0.0136469 | 40.037359 | 0 | 0.5196388 | 0.5731337 |
| 4 | RR | =~ | BISBAS12_Y | 0.7074043 | 0.0113847 | 62.136668 | 0 | 0.6850907 | 0.7297178 |
| 5 | Drive | =~ | BISBAS13_Y | 0.7150860 | 0.0111393 | 64.194818 | 0 | 0.6932534 | 0.7369187 |
| 6 | Drive | =~ | BISBAS14_Y | 0.7766154 | 0.0101013 | 76.882395 | 0 | 0.7568171 | 0.7964136 |
| 7 | Drive | =~ | BISBAS15_Y | 0.7040180 | 0.0111647 | 63.057226 | 0 | 0.6821355 | 0.7259005 |
| 8 | Drive | =~ | BISBAS16_Y | 0.5602466 | 0.0145475 | 38.511526 | 0 | 0.5317340 | 0.5887592 |
| 9 | Fun | =~ | BISBAS17_Y | 0.5561128 | 0.0153046 | 36.336410 | 0 | 0.5261164 | 0.5861092 |
| 10 | Fun | =~ | BISBAS18_Y | 0.6660867 | 0.0136681 | 48.733019 | 0 | 0.6392977 | 0.6928756 |
| 11 | Fun | =~ | BISBAS19_Y | 0.5593845 | 0.0144688 | 38.661485 | 0 | 0.5310262 | 0.5877428 |
| 12 | Fun | =~ | BISBAS20_Y | 0.5446156 | 0.0158381 | 34.386339 | 0 | 0.5135734 | 0.5756578 |
| 13 | BIS | =~ | BISBAS2_Y | 0.5586242 | 0.0198699 | 28.114115 | 0 | 0.5196799 | 0.5975684 |
| 14 | BIS | =~ | BISBAS3_Y | 0.6035724 | 0.0181502 | 33.254297 | 0 | 0.5679986 | 0.6391461 |
| 15 | BIS | =~ | BISBAS4_Y | 0.6330567 | 0.0181816 | 34.818495 | 0 | 0.5974214 | 0.6686920 |
| 16 | BIS | =~ | BISBAS6_Y | 0.5716633 | 0.0197718 | 28.913122 | 0 | 0.5329113 | 0.6104152 |
| 17 | BAS | =~ | RR | 0.8727874 | 0.0161067 | 54.187929 | 0 | 0.8412189 | 0.9043559 |
| 18 | BAS | =~ | Drive | 0.7098433 | 0.0163000 | 43.548641 | 0 | 0.6778959 | 0.7417908 |
| 19 | BAS | =~ | Fun | 0.7748857 | 0.0179107 | 43.263753 | 0 | 0.7397813 | 0.8099901 |
| 20 | BAS | ~~ | BAS | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 21 | BISBAS8_Y | ~~ | BISBAS8_Y | 0.5891476 | 0.0163028 | 36.137798 | 0 | 0.5571947 | 0.6211005 |
| 22 | BISBAS10_Y | ~~ | BISBAS10_Y | 0.5822306 | 0.0161993 | 35.941801 | 0 | 0.5504806 | 0.6139805 |
| 23 | BISBAS11_Y | ~~ | BISBAS11_Y | 0.7014621 | 0.0149130 | 47.037052 | 0 | 0.6722332 | 0.7306909 |
| 24 | BISBAS12_Y | ~~ | BISBAS12_Y | 0.4995792 | 0.0161071 | 31.016087 | 0 | 0.4680099 | 0.5311486 |
| 25 | BISBAS13_Y | ~~ | BISBAS13_Y | 0.4886520 | 0.0159311 | 30.672776 | 0 | 0.4574275 | 0.5198764 |
| 26 | BISBAS14_Y | ~~ | BISBAS14_Y | 0.3968686 | 0.0156897 | 25.294822 | 0 | 0.3661173 | 0.4276198 |
| 27 | BISBAS15_Y | ~~ | BISBAS15_Y | 0.5043587 | 0.0157204 | 32.083136 | 0 | 0.4735473 | 0.5351700 |
| 28 | BISBAS16_Y | ~~ | BISBAS16_Y | 0.6861238 | 0.0163004 | 42.092506 | 0 | 0.6541756 | 0.7180719 |
| 29 | BISBAS17_Y | ~~ | BISBAS17_Y | 0.6907386 | 0.0170221 | 40.578874 | 0 | 0.6573758 | 0.7241013 |
| 30 | BISBAS18_Y | ~~ | BISBAS18_Y | 0.5563286 | 0.0182082 | 30.553659 | 0 | 0.5206411 | 0.5920161 |
| 31 | BISBAS19_Y | ~~ | BISBAS19_Y | 0.6870890 | 0.0161872 | 42.446385 | 0 | 0.6553626 | 0.7188154 |
| 32 | BISBAS20_Y | ~~ | BISBAS20_Y | 0.7033939 | 0.0172514 | 40.773164 | 0 | 0.6695818 | 0.7372060 |
| 33 | BISBAS2_Y | ~~ | BISBAS2_Y | 0.6879390 | 0.0221996 | 30.988810 | 0 | 0.6444286 | 0.7314494 |
| 34 | BISBAS3_Y | ~~ | BISBAS3_Y | 0.6357004 | 0.0219099 | 29.014266 | 0 | 0.5927577 | 0.6786431 |
| 35 | BISBAS4_Y | ~~ | BISBAS4_Y | 0.5992392 | 0.0230200 | 26.031253 | 0 | 0.5541209 | 0.6443576 |
| 36 | BISBAS6_Y | ~~ | BISBAS6_Y | 0.6732011 | 0.0226056 | 29.780314 | 0 | 0.6288950 | 0.7175072 |
| 37 | RR | ~~ | RR | 0.2382421 | 0.0281154 | 8.473719 | 0 | 0.1831369 | 0.2933473 |
| 38 | Drive | ~~ | Drive | 0.4961225 | 0.0231409 | 21.439196 | 0 | 0.4507671 | 0.5414778 |
| 39 | Fun | ~~ | Fun | 0.3995522 | 0.0277575 | 14.394361 | 0 | 0.3451484 | 0.4539560 |
| 40 | BIS | ~~ | BIS | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 41 | BIS | ~~ | BAS | 0.4424860 | 0.0210716 | 20.999146 | 0 | 0.4011863 | 0.4837856 |
2.3.1 Reliability of BIS/BAS model
semTools::reliability(BAS_BIS.2ndOrderFitCovaried)## Higher-order factors were ignored.## RR Drive Fun
## alpha 0.7297327 0.7812948 0.6700636
## omega 0.7313139 0.7853451 0.6723033
## omega2 0.7313139 0.7853451 0.6723033
## omega3 0.7308042 0.7861734 0.6729541
## avevar 0.4068951 0.4809993 0.3406125semTools::reliabilityL2(BAS_BIS.2ndOrderFitCovaried,"BAS")## omegaL1 omegaL2 partialOmegaL1
## 0.7105026 0.8252536 0.83446662.3.2 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 4131 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 277.172 270.969
## Degrees of freedom 31 31
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.023
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 7678.131 7178.860
## Degrees of freedom 45 45
## P-value 0.000 0.000
## Scaling correction factor 1.070
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.968 0.966
## Tucker-Lewis Index (TLI) 0.953 0.951
##
## Robust Comparative Fit Index (CFI) 0.968
## Robust Tucker-Lewis Index (TLI) 0.953
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -54903.036 -54903.036
## Scaling correction factor 1.238
## for the MLR correction
## Loglikelihood unrestricted model (H1) -54764.450 -54764.450
## Scaling correction factor 1.117
## for the MLR correction
##
## Akaike (AIC) 109854.072 109854.072
## Bayesian (BIC) 110005.903 110005.903
## Sample-size adjusted Bayesian (BIC) 109929.641 109929.641
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.044 0.043
## 90 Percent confidence interval - lower 0.039 0.039
## 90 Percent confidence interval - upper 0.049 0.048
## P-value RMSEA <= 0.05 0.983 0.990
##
## Robust RMSEA 0.044
## 90 Percent confidence interval - lower 0.039
## 90 Percent confidence interval - upper 0.049
##
## 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|)
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.238 0.050 24.814 0.000
## NIHTBX_PATTERN 1.009 0.046 21.814 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.069 0.040 26.794 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.040 0.039 26.888 0.000
## NIHTBX_LIST_UN 1.131 0.055 20.402 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.176 0.054 21.973 0.000
## g =~
## EF 0.353 0.018 19.969 0.000
## verbal 0.524 0.018 28.683 0.000
## memory 0.462 0.016 28.651 0.000
## spatial 0.481 0.017 27.904 0.000
## Std.lv Std.all
##
## 0.590 0.593
## 0.730 0.729
## 0.595 0.597
##
## 0.685 0.683
## 0.732 0.730
##
## 0.548 0.548
## 0.570 0.571
## 0.620 0.620
##
## 0.486 0.487
## 0.571 0.570
##
## 0.598 0.598
## 0.765 0.765
## 0.842 0.842
## 0.989 0.989
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## g 1.000
## .NIHTBX_FLANKER 0.641 0.023 28.383 0.000
## .NIHTBX_CARDSOR 0.471 0.024 19.427 0.000
## .NIHTBX_PATTERN 0.640 0.021 30.254 0.000
## .NIHTBX_PICVOCA 0.538 0.023 23.090 0.000
## .NIHTBX_READING 0.469 0.023 20.259 0.000
## .NIHTBX_PICTURE 0.700 0.020 35.111 0.000
## .PEA_RAVLT_LD_T 0.671 0.022 31.008 0.000
## .NIHTBX_LIST_UN 0.615 0.022 28.575 0.000
## .LMT_SCR_PERC_C 0.759 0.021 36.209 0.000
## .PEA_WISCV_TRS 0.677 0.023 29.599 0.000
## .EF 0.224 0.016 14.247 0.000
## .verbal 0.195 0.016 11.924 0.000
## .memory 0.087 0.013 6.887 0.000
## .spatial 0.005 0.012 0.412 0.680
## Std.lv Std.all
## 1.000 1.000
## 0.641 0.648
## 0.471 0.469
## 0.640 0.644
## 0.538 0.534
## 0.469 0.467
## 0.700 0.700
## 0.671 0.674
## 0.615 0.615
## 0.759 0.763
## 0.677 0.675
## 0.643 0.643
## 0.415 0.415
## 0.290 0.290
## 0.021 0.021
##
## R-Square:
## Estimate
## NIHTBX_FLANKER 0.352
## NIHTBX_CARDSOR 0.531
## NIHTBX_PATTERN 0.356
## NIHTBX_PICVOCA 0.466
## NIHTBX_READING 0.533
## NIHTBX_PICTURE 0.300
## PEA_RAVLT_LD_T 0.326
## NIHTBX_LIST_UN 0.385
## LMT_SCR_PERC_C 0.237
## PEA_WISCV_TRS 0.325
## EF 0.357
## verbal 0.585
## memory 0.710
## spatial 0.979knitr::kable(lavaan::standardizedSolution(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")| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | EF | =~ | NIHTBX_FLANKER_UNCORRECTED | 0.5932384 | 0.0153611 | 38.6195096 | 0.0000000 | 0.5631312 | 0.6233456 |
| 2 | EF | =~ | NIHTBX_CARDSORT_UNCORRECTED | 0.7289061 | 0.0147142 | 49.5374627 | 0.0000000 | 0.7000667 | 0.7577455 |
| 3 | EF | =~ | NIHTBX_PATTERN_UNCORRECTED | 0.5969677 | 0.0160426 | 37.2113935 | 0.0000000 | 0.5655248 | 0.6284106 |
| 4 | verbal | =~ | NIHTBX_PICVOCAB_UNCORRECTED | 0.6826647 | 0.0149502 | 45.6624887 | 0.0000000 | 0.6533628 | 0.7119667 |
| 5 | verbal | =~ | NIHTBX_READING_UNCORRECTED | 0.7302722 | 0.0141522 | 51.6014828 | 0.0000000 | 0.7025345 | 0.7580099 |
| 6 | memory | =~ | NIHTBX_PICTURE_UNCORRECTED | 0.5481612 | 0.0166156 | 32.9907172 | 0.0000000 | 0.5155952 | 0.5807272 |
| 7 | memory | =~ | PEA_RAVLT_LD_TRIAL_VII_TC | 0.5710443 | 0.0164661 | 34.6799966 | 0.0000000 | 0.5387713 | 0.6033172 |
| 8 | memory | =~ | NIHTBX_LIST_UNCORRECTED | 0.6201516 | 0.0159173 | 38.9609399 | 0.0000000 | 0.5889543 | 0.6513489 |
| 9 | spatial | =~ | LMT_SCR_PERC_CORRECT | 0.4871356 | 0.0163081 | 29.8708355 | 0.0000000 | 0.4551724 | 0.5190988 |
| 10 | spatial | =~ | PEA_WISCV_TRS | 0.5704755 | 0.0180945 | 31.5275869 | 0.0000000 | 0.5350109 | 0.6059400 |
| 11 | g | =~ | EF | 0.5977504 | 0.0197492 | 30.2671401 | 0.0000000 | 0.5590428 | 0.6364580 |
| 12 | g | =~ | verbal | 0.7650387 | 0.0171277 | 44.6668665 | 0.0000000 | 0.7314691 | 0.7986082 |
| 13 | g | =~ | memory | 0.8424914 | 0.0189152 | 44.5404894 | 0.0000000 | 0.8054184 | 0.8795645 |
| 14 | g | =~ | spatial | 0.9893127 | 0.0258098 | 38.3308828 | 0.0000000 | 0.9387264 | 1.0398990 |
| 15 | g | ~~ | g | 1.0000000 | 0.0000000 | NA | NA | 1.0000000 | 1.0000000 |
| 16 | NIHTBX_FLANKER_UNCORRECTED | ~~ | NIHTBX_FLANKER_UNCORRECTED | 0.6480682 | 0.0182256 | 35.5581281 | 0.0000000 | 0.6123466 | 0.6837897 |
| 17 | NIHTBX_CARDSORT_UNCORRECTED | ~~ | NIHTBX_CARDSORT_UNCORRECTED | 0.4686959 | 0.0214506 | 21.8500144 | 0.0000000 | 0.4266535 | 0.5107383 |
| 18 | NIHTBX_PATTERN_UNCORRECTED | ~~ | NIHTBX_PATTERN_UNCORRECTED | 0.6436296 | 0.0191538 | 33.6031720 | 0.0000000 | 0.6060887 | 0.6811704 |
| 19 | NIHTBX_PICVOCAB_UNCORRECTED | ~~ | NIHTBX_PICVOCAB_UNCORRECTED | 0.5339688 | 0.0204120 | 26.1595670 | 0.0000000 | 0.4939621 | 0.5739756 |
| 20 | NIHTBX_READING_UNCORRECTED | ~~ | NIHTBX_READING_UNCORRECTED | 0.4667025 | 0.0206699 | 22.5788961 | 0.0000000 | 0.4261903 | 0.5072146 |
| 21 | NIHTBX_PICTURE_UNCORRECTED | ~~ | NIHTBX_PICTURE_UNCORRECTED | 0.6995193 | 0.0182161 | 38.4012111 | 0.0000000 | 0.6638165 | 0.7352222 |
| 22 | PEA_RAVLT_LD_TRIAL_VII_TC | ~~ | PEA_RAVLT_LD_TRIAL_VII_TC | 0.6739085 | 0.0188057 | 35.8352471 | 0.0000000 | 0.6370499 | 0.7107670 |
| 23 | NIHTBX_LIST_UNCORRECTED | ~~ | NIHTBX_LIST_UNCORRECTED | 0.6154120 | 0.0197422 | 31.1723597 | 0.0000000 | 0.5767179 | 0.6541061 |
| 24 | LMT_SCR_PERC_CORRECT | ~~ | LMT_SCR_PERC_CORRECT | 0.7626989 | 0.0158885 | 48.0032573 | 0.0000000 | 0.7315580 | 0.7938397 |
| 25 | PEA_WISCV_TRS | ~~ | PEA_WISCV_TRS | 0.6745577 | 0.0206449 | 32.6742690 | 0.0000000 | 0.6340944 | 0.7150210 |
| 26 | EF | ~~ | EF | 0.6426945 | 0.0236101 | 27.2211331 | 0.0000000 | 0.5964195 | 0.6889695 |
| 27 | verbal | ~~ | verbal | 0.4147158 | 0.0262066 | 15.8248410 | 0.0000000 | 0.3633518 | 0.4660799 |
| 28 | memory | ~~ | memory | 0.2902082 | 0.0318718 | 9.1054962 | 0.0000000 | 0.2277407 | 0.3526757 |
| 29 | spatial | ~~ | spatial | 0.0212604 | 0.0510679 | 0.4163167 | 0.6771783 | -0.0788309 | 0.1213518 |
2.4.1 Reliability of G-Factor
semTools::reliabilityL2(NeuroCog2ndOrder.Fit,"g")## omegaL1 omegaL2 partialOmegaL1
## 0.6862257 0.8663520 0.78425272.4.2 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 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
'
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 334 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 165
##
## Used Total
## Number of observations 4438 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 22355.802 15687.227
## Degrees of freedom 3768 3768
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.425
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 288688.715 201030.865
## Degrees of freedom 3864 3864
## P-value 0.000 0.000
## Scaling correction factor 1.436
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.935 0.940
## Tucker-Lewis Index (TLI) 0.933 0.938
##
## Robust Comparative Fit Index (CFI) 0.940
## Robust Tucker-Lewis Index (TLI) 0.938
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -72703.056 -72703.056
## Scaling correction factor 6.722
## for the MLR correction
## Loglikelihood unrestricted model (H1) -61525.155 -61525.155
## Scaling correction factor 1.647
## for the MLR correction
##
## Akaike (AIC) 145736.112 145736.112
## Bayesian (BIC) 146791.775 146791.775
## Sample-size adjusted Bayesian (BIC) 146267.470 146267.470
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.033 0.027
## 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 0.037 0.037
##
## 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 20.409 0.000
## CBCL_Q109_P 0.588 0.023 25.309 0.000
## CBCL_Q15_P 0.060 0.012 5.245 0.000
## CBCL_Q16_P 0.341 0.023 15.018 0.000
## CBCL_Q19_P 0.693 0.025 28.104 0.000
## CBCL_Q26_P 0.451 0.025 18.131 0.000
## CBCL_Q27_P 0.641 0.025 26.074 0.000
## CBCL_Q34_P 0.227 0.021 10.787 0.000
## CBCL_Q37_P 0.185 0.021 8.641 0.000
## CBCL_Q39_P 0.205 0.020 10.020 0.000
## CBCL_Q43_P 0.620 0.024 25.754 0.000
## CBCL_Q67_P 0.041 0.012 3.410 0.001
## CBCL_Q68_P 0.490 0.024 20.174 0.000
## CBCL_Q72_P 0.018 0.006 3.198 0.001
## CBCL_Q74_P 0.556 0.026 21.070 0.000
## CBCL_Q86_P 0.854 0.022 39.534 0.000
## CBCL_Q87_P 0.652 0.025 25.970 0.000
## CBCL_Q88_P 0.487 0.026 18.986 0.000
## CBCL_Q89_P 0.177 0.021 8.277 0.000
## CBCL_Q90_P 0.267 0.025 10.796 0.000
## CBCL_Q94_P 0.339 0.024 14.067 0.000
## CBCL_Q95_P 0.819 0.022 36.974 0.000
## CBCL_Q96_P 0.042 0.013 3.119 0.002
## Com1_Attack 0.330 0.023 14.572 0.000
## Com2_Destroy 0.241 0.021 11.535 0.000
## Com3_Disobeys 0.678 0.020 33.705 0.000
## Com4_Steals 0.216 0.020 10.800 0.000
## Com5_Peer 0.441 0.023 19.570 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.493 0.070 21.468 0.000
## CBCL_Q09_P 1.317 0.064 20.448 0.000
## CBCL_Q13_P 0.457 0.039 11.699 0.000
## CBCL_Q17_P 1.163 0.063 18.388 0.000
## CBCL_Q36_P 0.686 0.045 15.092 0.000
## CBCL_Q46_P 0.675 0.047 14.287 0.000
## CBCL_Q61_P 0.782 0.044 17.798 0.000
## CBCL_Q62_P 0.752 0.044 17.141 0.000
## CBCL_Q64_P 0.727 0.042 17.337 0.000
## CBCL_Q66_P 0.520 0.044 11.895 0.000
## CBCL_Q80_P 0.600 0.043 14.068 0.000
## CBCL_Q85_P 0.460 0.035 12.975 0.000
## CBCL_Q93_P 1.045 0.056 18.581 0.000
## Com6_Distractd 1.736 0.074 23.531 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.372 0.026 14.228 0.000
## CBCL_Q29_P 0.526 0.026 20.153 0.000
## CBCL_Q30_P 0.206 0.021 9.667 0.000
## CBCL_Q31_P 0.361 0.024 15.160 0.000
## CBCL_Q32_P 0.680 0.029 23.292 0.000
## CBCL_Q35_P 0.520 0.026 19.839 0.000
## CBCL_Q45_P 0.752 0.024 31.248 0.000
## CBCL_Q50_P 0.881 0.022 40.217 0.000
## CBCL_Q52_P 0.358 0.023 15.303 0.000
## CBCL_Q71_P 0.850 0.028 30.035 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.764 0.304 9.080 0.000
## CBCL_Q56B_P 3.530 0.369 9.572 0.000
## CBCL_Q56C_P 4.064 0.449 9.047 0.000
## CBCL_Q56D_P 0.557 0.099 5.630 0.000
## CBCL_Q56E_P 1.446 0.200 7.245 0.000
## CBCL_Q56F_P 4.801 0.523 9.177 0.000
## CBCL_Q56G_P 1.103 0.158 6.972 0.000
## CBCL_Q56H_P 0.691 0.133 5.197 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.241 0.093 13.393 0.000
## CBCL_Q42_P 1.726 0.146 11.850 0.000
## CBCL_Q65_P 0.990 0.101 9.836 0.000
## CBCL_Q75_P 1.618 0.146 11.102 0.000
## p =~
## Ext 0.326 0.010 33.594 0.000
## NDe 0.207 0.010 20.934 0.000
## Int 0.300 0.010 29.025 0.000
## Som 0.034 0.004 8.103 0.000
## Det 0.091 0.008 10.926 0.000
## Std.lv Std.all
##
## 0.429 0.661
## 0.218 0.437
## 0.252 0.484
## 0.026 0.259
## 0.146 0.529
## 0.297 0.574
## 0.194 0.535
## 0.275 0.567
## 0.098 0.395
## 0.079 0.460
## 0.088 0.334
## 0.266 0.568
## 0.017 0.248
## 0.210 0.584
## 0.008 0.114
## 0.239 0.447
## 0.366 0.648
## 0.280 0.608
## 0.209 0.534
## 0.076 0.407
## 0.114 0.401
## 0.145 0.437
## 0.351 0.653
## 0.018 0.207
## 0.142 0.539
## 0.103 0.481
## 0.291 0.654
## 0.093 0.433
## 0.189 0.518
##
## 0.248 0.521
## 0.370 0.618
## 0.326 0.589
## 0.113 0.459
## 0.288 0.532
## 0.170 0.395
## 0.167 0.448
## 0.194 0.522
## 0.186 0.489
## 0.180 0.435
## 0.129 0.441
## 0.149 0.503
## 0.114 0.437
## 0.259 0.465
## 0.430 0.707
##
## 0.408 0.694
## 0.152 0.414
## 0.215 0.479
## 0.084 0.375
## 0.148 0.475
## 0.278 0.487
## 0.212 0.548
## 0.307 0.648
## 0.360 0.714
## 0.146 0.492
## 0.347 0.563
##
## 0.067 0.318
## 0.186 0.438
## 0.238 0.473
## 0.273 0.714
## 0.038 0.180
## 0.097 0.239
## 0.323 0.678
## 0.074 0.354
## 0.046 0.256
##
## 0.134 0.486
## 0.167 0.645
## 0.232 0.551
## 0.133 0.461
## 0.217 0.474
##
## 0.768 0.768
## 0.845 0.845
## 0.742 0.742
## 0.518 0.518
## 0.686 0.686
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## p ~
## wryMDDp5_2_scr 0.081 0.017 4.835 0.000
## ADHDp5e_2_scor 0.075 0.017 4.351 0.000
## otwAnxp5_2_scr 0.008 0.017 0.498 0.619
## rdrfrBIPp5_2_s 0.007 0.018 0.390 0.697
## prdnsSczp5_2_s -0.012 0.019 -0.630 0.529
## grvAlsp5_2_scr 0.031 0.017 1.763 0.078
## wryMDDp5_2_cnt -0.001 0.001 -1.134 0.257
## ADHDp5e_2_cnt 0.002 0.002 1.464 0.143
## otwAnxp5_2_cnt 0.001 0.001 0.573 0.567
## rdrfrBIPp5_2_c 0.001 0.001 0.699 0.485
## prdnsSczp5_2_c 0.000 0.001 0.081 0.935
## grvAlsp5_2_cnt -0.002 0.001 -1.556 0.120
## pc1 -2.179 1.215 -1.793 0.073
## pc2 1.694 1.087 1.559 0.119
## pc3 0.054 0.798 0.068 0.946
## pc4 1.749 0.863 2.026 0.043
## pc5 -2.107 1.016 -2.073 0.038
## pc6 -0.719 1.198 -0.600 0.549
## pc7 -1.737 0.529 -3.281 0.001
## pc8 1.854 0.831 2.230 0.026
## pc9 -0.219 0.525 -0.417 0.676
## pc10 -0.035 0.887 -0.039 0.969
## Std.lv Std.all
##
## 0.080 0.080
## 0.074 0.074
## 0.008 0.008
## 0.007 0.007
## -0.012 -0.012
## 0.031 0.031
## -0.001 -0.112
## 0.002 0.143
## 0.001 0.049
## 0.001 0.070
## 0.000 0.010
## -0.002 -0.143
## -2.157 -0.030
## 1.677 0.023
## 0.054 0.001
## 1.731 0.019
## -2.086 -0.024
## -0.711 -0.009
## -1.719 -0.025
## 1.835 0.021
## -0.217 -0.003
## -0.035 -0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .p 1.000
## .CBCL_Q03_P 0.237 0.007 36.144 0.000
## .CBCL_Q07_P 0.202 0.005 39.312 0.000
## .CBCL_Q109_P 0.208 0.005 39.580 0.000
## .CBCL_Q15_P 0.009 0.002 5.722 0.000
## .CBCL_Q16_P 0.055 0.003 20.719 0.000
## .CBCL_Q19_P 0.180 0.006 29.608 0.000
## .CBCL_Q26_P 0.094 0.004 21.406 0.000
## .CBCL_Q27_P 0.160 0.005 30.256 0.000
## .CBCL_Q34_P 0.051 0.003 15.632 0.000
## .CBCL_Q37_P 0.024 0.002 12.159 0.000
## .CBCL_Q39_P 0.062 0.004 17.124 0.000
## .CBCL_Q43_P 0.149 0.005 32.738 0.000
## .CBCL_Q67_P 0.005 0.001 4.037 0.000
## .CBCL_Q68_P 0.085 0.004 21.928 0.000
## .CBCL_Q72_P 0.005 0.001 3.691 0.000
## .CBCL_Q74_P 0.228 0.006 37.410 0.000
## .CBCL_Q86_P 0.186 0.005 35.664 0.000
## .CBCL_Q87_P 0.134 0.004 30.068 0.000
## .CBCL_Q88_P 0.109 0.004 25.558 0.000
## .CBCL_Q89_P 0.029 0.003 10.355 0.000
## .CBCL_Q90_P 0.068 0.004 15.887 0.000
## .CBCL_Q94_P 0.090 0.004 22.008 0.000
## .CBCL_Q95_P 0.166 0.005 33.053 0.000
## .CBCL_Q96_P 0.007 0.002 4.808 0.000
## .Com1_Attack 0.049 0.002 20.590 0.000
## .Com2_Destroy 0.035 0.002 16.544 0.000
## .Com3_Disobeys 0.113 0.004 31.939 0.000
## .Com4_Steals 0.037 0.002 15.047 0.000
## .Com5_Peer 0.098 0.004 24.883 0.000
## .CBCL_Q01_P 0.165 0.005 30.293 0.000
## .CBCL_Q04_P 0.222 0.006 35.849 0.000
## .CBCL_Q09_P 0.200 0.006 33.052 0.000
## .CBCL_Q13_P 0.048 0.003 14.581 0.000
## .CBCL_Q17_P 0.210 0.006 34.048 0.000
## .CBCL_Q36_P 0.156 0.006 25.885 0.000
## .CBCL_Q46_P 0.111 0.006 20.132 0.000
## .CBCL_Q61_P 0.101 0.004 22.401 0.000
## .CBCL_Q62_P 0.111 0.005 21.803 0.000
## .CBCL_Q64_P 0.139 0.005 26.862 0.000
## .CBCL_Q66_P 0.069 0.004 15.488 0.000
## .CBCL_Q80_P 0.065 0.003 19.504 0.000
## .CBCL_Q85_P 0.055 0.003 16.976 0.000
## .CBCL_Q93_P 0.244 0.007 34.287 0.000
## .Com6_Distractd 0.185 0.006 30.821 0.000
## .CBCL_Q112_P 0.179 0.005 33.947 0.000
## .CBCL_Q12_P 0.112 0.005 22.213 0.000
## .CBCL_Q29_P 0.155 0.005 29.579 0.000
## .CBCL_Q30_P 0.043 0.003 13.196 0.000
## .CBCL_Q31_P 0.075 0.004 21.062 0.000
## .CBCL_Q32_P 0.248 0.007 36.739 0.000
## .CBCL_Q35_P 0.105 0.004 26.404 0.000
## .CBCL_Q45_P 0.131 0.005 28.712 0.000
## .CBCL_Q50_P 0.125 0.004 27.896 0.000
## .CBCL_Q52_P 0.067 0.003 19.670 0.000
## .CBCL_Q71_P 0.260 0.006 42.469 0.000
## .CBCL_Q51_P 0.040 0.003 13.115 0.000
## .CBCL_Q56A_P 0.146 0.005 27.888 0.000
## .CBCL_Q56B_P 0.195 0.006 32.311 0.000
## .CBCL_Q56C_P 0.072 0.004 19.969 0.000
## .CBCL_Q56D_P 0.042 0.004 9.608 0.000
## .CBCL_Q56E_P 0.156 0.007 23.520 0.000
## .CBCL_Q56F_P 0.123 0.006 21.252 0.000
## .CBCL_Q56G_P 0.039 0.003 14.716 0.000
## .CBCL_Q56H_P 0.031 0.003 9.085 0.000
## .CBCL_Q102_P 0.058 0.004 15.678 0.000
## .CBCL_Q111_P 0.039 0.002 17.211 0.000
## .CBCL_Q42_P 0.123 0.005 24.936 0.000
## .CBCL_Q65_P 0.065 0.004 16.540 0.000
## .CBCL_Q75_P 0.162 0.006 26.791 0.000
## .Ext 0.075 0.005 15.647 0.000
## .NDe 0.018 0.002 9.103 0.000
## .Int 0.075 0.006 11.950 0.000
## .Som 0.003 0.001 4.814 0.000
## .Det 0.010 0.001 6.559 0.000
## Std.lv Std.all
## 0.980 0.980
## 0.237 0.563
## 0.202 0.809
## 0.208 0.765
## 0.009 0.933
## 0.055 0.721
## 0.180 0.671
## 0.094 0.714
## 0.160 0.679
## 0.051 0.844
## 0.024 0.789
## 0.062 0.889
## 0.149 0.678
## 0.005 0.939
## 0.085 0.659
## 0.005 0.987
## 0.228 0.800
## 0.186 0.581
## 0.134 0.631
## 0.109 0.715
## 0.029 0.834
## 0.068 0.839
## 0.090 0.809
## 0.166 0.573
## 0.007 0.957
## 0.049 0.710
## 0.035 0.769
## 0.113 0.573
## 0.037 0.812
## 0.098 0.732
## 0.165 0.728
## 0.222 0.618
## 0.200 0.653
## 0.048 0.789
## 0.210 0.717
## 0.156 0.844
## 0.111 0.799
## 0.101 0.728
## 0.111 0.761
## 0.139 0.811
## 0.069 0.806
## 0.065 0.747
## 0.055 0.809
## 0.244 0.784
## 0.185 0.500
## 0.179 0.518
## 0.112 0.829
## 0.155 0.771
## 0.043 0.859
## 0.075 0.775
## 0.248 0.763
## 0.105 0.700
## 0.131 0.581
## 0.125 0.491
## 0.067 0.758
## 0.260 0.684
## 0.040 0.899
## 0.146 0.808
## 0.195 0.776
## 0.072 0.490
## 0.042 0.968
## 0.156 0.943
## 0.123 0.540
## 0.039 0.875
## 0.031 0.935
## 0.058 0.764
## 0.039 0.583
## 0.123 0.696
## 0.065 0.787
## 0.162 0.775
## 0.409 0.409
## 0.286 0.286
## 0.450 0.450
## 0.732 0.732
## 0.529 0.529
##
## R-Square:
## Estimate
## p 0.020
## CBCL_Q03_P 0.437
## CBCL_Q07_P 0.191
## CBCL_Q109_P 0.235
## CBCL_Q15_P 0.067
## CBCL_Q16_P 0.279
## CBCL_Q19_P 0.329
## CBCL_Q26_P 0.286
## CBCL_Q27_P 0.321
## CBCL_Q34_P 0.156
## CBCL_Q37_P 0.211
## CBCL_Q39_P 0.111
## CBCL_Q43_P 0.322
## CBCL_Q67_P 0.061
## CBCL_Q68_P 0.341
## CBCL_Q72_P 0.013
## CBCL_Q74_P 0.200
## CBCL_Q86_P 0.419
## CBCL_Q87_P 0.369
## CBCL_Q88_P 0.285
## CBCL_Q89_P 0.166
## CBCL_Q90_P 0.161
## CBCL_Q94_P 0.191
## CBCL_Q95_P 0.427
## CBCL_Q96_P 0.043
## Com1_Attack 0.290
## Com2_Destroy 0.231
## Com3_Disobeys 0.427
## Com4_Steals 0.188
## Com5_Peer 0.268
## CBCL_Q01_P 0.272
## CBCL_Q04_P 0.382
## CBCL_Q09_P 0.347
## CBCL_Q13_P 0.211
## CBCL_Q17_P 0.283
## CBCL_Q36_P 0.156
## CBCL_Q46_P 0.201
## CBCL_Q61_P 0.272
## CBCL_Q62_P 0.239
## CBCL_Q64_P 0.189
## CBCL_Q66_P 0.194
## CBCL_Q80_P 0.253
## CBCL_Q85_P 0.191
## CBCL_Q93_P 0.216
## Com6_Distractd 0.500
## CBCL_Q112_P 0.482
## CBCL_Q12_P 0.171
## CBCL_Q29_P 0.229
## CBCL_Q30_P 0.141
## CBCL_Q31_P 0.225
## CBCL_Q32_P 0.237
## CBCL_Q35_P 0.300
## CBCL_Q45_P 0.419
## CBCL_Q50_P 0.509
## CBCL_Q52_P 0.242
## CBCL_Q71_P 0.316
## CBCL_Q51_P 0.101
## CBCL_Q56A_P 0.192
## CBCL_Q56B_P 0.224
## CBCL_Q56C_P 0.510
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.057
## CBCL_Q56F_P 0.460
## CBCL_Q56G_P 0.125
## CBCL_Q56H_P 0.065
## CBCL_Q102_P 0.236
## CBCL_Q111_P 0.417
## CBCL_Q42_P 0.304
## CBCL_Q65_P 0.213
## CBCL_Q75_P 0.225
## Ext 0.591
## NDe 0.714
## Int 0.550
## Som 0.268
## Det 0.471allPrs_PFac.Fit.p5e_2 <- lavaan::standardizedSolution(allPrs_PFac.Fit) %>%
filter(op == "~") %>%
filter(str_detect(rhs, "score"))
allPrs_PFac.Fit.p5e_2 %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| p | ~ | wrayMDDp5e_2_score | 0.0801625 | 0.0164810 | 4.8639443 | 0.0000012 | 0.0478604 | 0.1124646 |
| p | ~ | ADHDp5e_2_score | 0.0738588 | 0.0168823 | 4.3749318 | 0.0000121 | 0.0407702 | 0.1069475 |
| p | ~ | otowaAnxp5e_2_score | 0.0083626 | 0.0168020 | 0.4977163 | 0.6186840 | -0.0245687 | 0.0412940 |
| p | ~ | ruderferBIPp5e_2_score | 0.0068683 | 0.0176253 | 0.3896853 | 0.6967693 | -0.0276767 | 0.0414134 |
| p | ~ | pardinasSczp5e_2_score | -0.0115539 | 0.0183392 | -0.6300134 | 0.5286858 | -0.0474980 | 0.0243902 |
| p | ~ | groveAlsp5e_2_score | 0.0305275 | 0.0173017 | 1.7644167 | 0.0776618 | -0.0033833 | 0.0644383 |
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$est.std,3),s_allPrs_PFac.Fit.p5e_2[,7]))
# 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 72 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of free parameters 303
##
## Used Total
## Number of observations 4129 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 21388.146 13190.903
## Degrees of freedom 4352 4352
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 2.026
## Shift parameter 2635.104
## simple second-order correction
##
## Model Test Baseline Model:
##
## Test statistic 408212.315 115556.335
## Degrees of freedom 4465 4465
## P-value 0.000 0.000
## Scaling correction factor 3.634
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.958 0.920
## Tucker-Lewis Index (TLI) 0.957 0.918
##
## Robust Comparative Fit Index (CFI) NA
## Robust Tucker-Lewis Index (TLI) NA
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.031 0.022
## 90 Percent confidence interval - lower 0.030 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 0.069 0.069
##
## 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 0.023 31.442 0.000
## CBCL_Q109_P 0.827 0.021 39.256 0.000
## CBCL_Q15_P 0.878 0.060 14.730 0.000
## CBCL_Q16_P 0.932 0.028 33.318 0.000
## CBCL_Q19_P 0.942 0.020 46.574 0.000
## CBCL_Q26_P 0.894 0.025 35.702 0.000
## CBCL_Q27_P 0.904 0.022 41.974 0.000
## CBCL_Q34_P 0.913 0.034 27.118 0.000
## CBCL_Q37_P 1.003 0.036 28.165 0.000
## CBCL_Q39_P 0.682 0.036 19.147 0.000
## CBCL_Q43_P 0.904 0.021 42.797 0.000
## CBCL_Q67_P 1.027 0.079 13.068 0.000
## CBCL_Q68_P 0.995 0.023 43.641 0.000
## CBCL_Q72_P 0.668 0.081 8.259 0.000
## CBCL_Q74_P 0.734 0.023 32.437 0.000
## CBCL_Q86_P 1.009 0.017 59.689 0.000
## CBCL_Q87_P 1.000 0.021 48.337 0.000
## CBCL_Q88_P 0.955 0.023 41.118 0.000
## CBCL_Q89_P 0.986 0.039 25.144 0.000
## CBCL_Q90_P 0.752 0.034 22.075 0.000
## CBCL_Q94_P 0.775 0.029 26.516 0.000
## CBCL_Q95_P 0.985 0.017 56.686 0.000
## CBCL_Q96_P 0.795 0.072 11.101 0.000
## Com1_Attack 0.960 0.027 35.150 0.000
## Com2_Destroy 0.973 0.032 30.512 0.000
## Com3_Disobeys 1.031 0.018 56.979 0.000
## Com4_Steals 0.911 0.035 25.792 0.000
## Com5_Peer 0.960 0.024 39.641 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 1.005 0.032 31.293 0.000
## CBCL_Q29_P 0.802 0.029 27.887 0.000
## CBCL_Q30_P 0.907 0.046 19.572 0.000
## CBCL_Q31_P 0.864 0.035 24.940 0.000
## CBCL_Q32_P 0.641 0.026 24.324 0.000
## CBCL_Q35_P 1.052 0.027 39.009 0.000
## CBCL_Q45_P 1.071 0.024 43.942 0.000
## CBCL_Q50_P 1.045 0.021 49.498 0.000
## CBCL_Q52_P 0.873 0.035 25.116 0.000
## CBCL_Q71_P 0.906 0.023 38.715 0.000
## Att =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.108 0.033 33.926 0.000
## CBCL_Q09_P 1.120 0.034 33.009 0.000
## CBCL_Q13_P 1.073 0.045 23.712 0.000
## CBCL_Q17_P 0.867 0.034 25.169 0.000
## CBCL_Q36_P 0.819 0.036 22.593 0.000
## CBCL_Q46_P 0.954 0.041 23.399 0.000
## CBCL_Q61_P 1.092 0.037 29.129 0.000
## CBCL_Q62_P 0.983 0.036 27.088 0.000
## CBCL_Q64_P 0.899 0.036 24.717 0.000
## CBCL_Q66_P 1.085 0.045 24.215 0.000
## CBCL_Q80_P 1.058 0.040 26.167 0.000
## CBCL_Q85_P 1.063 0.046 23.358 0.000
## CBCL_Q93_P 0.896 0.033 27.133 0.000
## Com6_Distractd 1.202 0.034 35.838 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 0.970 0.081 11.926 0.000
## CBCL_Q56B_P 0.876 0.071 12.380 0.000
## CBCL_Q56C_P 1.264 0.093 13.629 0.000
## CBCL_Q56D_P 0.709 0.088 8.022 0.000
## CBCL_Q56E_P 0.600 0.066 9.066 0.000
## CBCL_Q56F_P 1.142 0.082 14.016 0.000
## CBCL_Q56G_P 0.823 0.084 9.784 0.000
## CBCL_Q56H_P 0.994 0.111 8.921 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.144 0.052 22.100 0.000
## CBCL_Q42_P 0.810 0.041 19.599 0.000
## CBCL_Q65_P 1.036 0.054 19.267 0.000
## CBCL_Q75_P 0.784 0.043 18.212 0.000
## p =~
## Ext 0.614 0.012 50.845 0.000
## Int 0.560 0.014 40.136 0.000
## Att 0.577 0.017 34.810 0.000
## Som 0.368 0.028 12.926 0.000
## Det 0.544 0.025 21.342 0.000
## BIS =~
## BISBAS2_Y 1.000
## BISBAS3_Y 1.060 0.074 14.292 0.000
## BISBAS4_Y 1.134 0.078 14.562 0.000
## BISBAS6_Y 0.936 0.055 17.045 0.000
## RR =~
## BISBAS8_Y 1.000
## BISBAS10_Y 0.916 0.041 22.289 0.000
## BISBAS11_Y 0.755 0.039 19.244 0.000
## BISBAS12_Y 1.075 0.047 22.645 0.000
## Drive =~
## BISBAS13_Y 1.000
## BISBAS14_Y 1.143 0.041 28.122 0.000
## BISBAS15_Y 1.104 0.044 25.036 0.000
## BISBAS16_Y 0.809 0.040 20.258 0.000
## Fun =~
## BISBAS17_Y 1.000
## BISBAS18_Y 0.997 0.049 20.307 0.000
## BISBAS19_Y 0.859 0.047 18.328 0.000
## BISBAS20_Y 0.994 0.049 20.438 0.000
## BAS =~
## RR 0.553 0.025 22.360 0.000
## Drive 0.510 0.021 24.142 0.000
## Fun 0.487 0.022 22.664 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.286 0.058 22.175 0.000
## NIHTBX_PATTERN 1.000 0.050 20.074 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.061 0.047 22.623 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.073 0.058 18.426 0.000
## NIHTBX_LIST_UN 1.163 0.062 18.760 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.104 0.063 17.394 0.000
## g =~
## EF 0.360 0.019 19.453 0.000
## verbal 0.494 0.022 22.783 0.000
## memory 0.476 0.024 19.980 0.000
## spatial 0.480 0.023 20.511 0.000
## Std.lv Std.all
##
## 0.778 0.778
## 0.557 0.557
## 0.644 0.644
## 0.683 0.683
## 0.726 0.726
## 0.733 0.733
## 0.696 0.696
## 0.703 0.703
## 0.711 0.711
## 0.781 0.781
## 0.531 0.531
## 0.703 0.703
## 0.799 0.799
## 0.775 0.775
## 0.520 0.520
## 0.571 0.571
## 0.785 0.785
## 0.778 0.778
## 0.743 0.743
## 0.768 0.768
## 0.585 0.585
## 0.603 0.603
## 0.766 0.766
## 0.619 0.619
## 0.747 0.747
## 0.757 0.757
## 0.803 0.803
## 0.709 0.709
## 0.747 0.747
##
## 0.766 0.766
## 0.770 0.770
## 0.615 0.615
## 0.695 0.695
## 0.662 0.662
## 0.491 0.491
## 0.806 0.806
## 0.820 0.820
## 0.801 0.801
## 0.669 0.669
## 0.694 0.694
##
## 0.674 0.674
## 0.747 0.747
## 0.755 0.755
## 0.724 0.724
## 0.584 0.584
## 0.552 0.552
## 0.643 0.643
## 0.736 0.736
## 0.663 0.663
## 0.606 0.606
## 0.731 0.731
## 0.713 0.713
## 0.717 0.717
## 0.604 0.604
## 0.810 0.810
##
## 0.677 0.677
## 0.657 0.657
## 0.593 0.593
## 0.856 0.856
## 0.480 0.480
## 0.406 0.406
## 0.773 0.773
## 0.557 0.557
## 0.673 0.673
##
## 0.767 0.767
## 0.878 0.878
## 0.622 0.622
## 0.795 0.795
## 0.602 0.602
##
## 0.822 0.822
## 0.762 0.762
## 0.892 0.892
## 0.567 0.567
## 0.739 0.739
##
## 0.565 0.566
## 0.599 0.600
## 0.641 0.643
## 0.529 0.532
##
## 0.676 0.679
## 0.619 0.620
## 0.510 0.511
## 0.726 0.728
##
## 0.677 0.676
## 0.774 0.773
## 0.748 0.748
## 0.548 0.549
##
## 0.601 0.599
## 0.599 0.601
## 0.516 0.519
## 0.598 0.596
##
## 0.818 0.818
## 0.753 0.753
## 0.811 0.811
##
## 0.582 0.585
## 0.749 0.748
## 0.582 0.584
##
## 0.688 0.685
## 0.730 0.728
##
## 0.536 0.536
## 0.575 0.576
## 0.623 0.623
##
## 0.501 0.503
## 0.553 0.552
##
## 0.619 0.619
## 0.719 0.719
## 0.888 0.888
## 0.959 0.959
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## p ~
## BIS 0.114 0.048 2.399 0.016
## BAS 0.111 0.026 4.208 0.000
## g -0.231 0.025 -9.325 0.000
## Std.lv Std.all
##
## 0.062 0.062
## 0.106 0.106
## -0.222 -0.222
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## BIS ~~
## BAS 0.239 0.016 15.216 0.000
## g -0.025 0.013 -1.905 0.057
## BAS ~~
## g -0.178 0.021 -8.446 0.000
## Std.lv Std.all
##
## 0.423 0.423
## -0.044 -0.044
##
## -0.178 -0.178
##
## 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 -0.003 0.016 -0.202 0.840
## .BISBAS3_Y -0.006 0.016 -0.352 0.725
## .BISBAS4_Y -0.010 0.016 -0.640 0.522
## .BISBAS6_Y -0.004 0.016 -0.256 0.798
## .BISBAS8_Y 0.003 0.017 0.180 0.857
## .BISBAS10_Y -0.002 0.018 -0.103 0.918
## .BISBAS11_Y -0.007 0.021 -0.331 0.741
## .BISBAS12_Y -0.002 0.017 -0.115 0.908
## .BISBAS13_Y -0.002 0.017 -0.100 0.920
## .BISBAS14_Y 0.003 0.021 0.148 0.882
## .BISBAS15_Y -0.002 0.018 -0.089 0.929
## .BISBAS16_Y -0.003 0.030 -0.109 0.913
## .BISBAS17_Y 0.003 0.018 0.158 0.875
## .BISBAS18_Y -0.001 0.016 -0.059 0.953
## .BISBAS19_Y 0.004 0.016 0.233 0.816
## .BISBAS20_Y 0.007 0.018 0.420 0.675
## .NIHTBX_FLANKER 0.006 0.017 0.322 0.747
## .NIHTBX_CARDSOR 0.002 0.016 0.107 0.915
## .NIHTBX_PATTERN 0.005 0.016 0.343 0.732
## .NIHTBX_PICVOCA 0.005 0.016 0.309 0.757
## .NIHTBX_READING 0.008 0.016 0.523 0.601
## .NIHTBX_PICTURE -0.001 0.016 -0.060 0.952
## .PEA_RAVLT_LD_T 0.003 0.016 0.206 0.837
## .NIHTBX_LIST_UN 0.007 0.016 0.427 0.670
## .LMT_SCR_PERC_C 0.001 0.016 0.095 0.924
## .PEA_WISCV_TRS 0.001 0.016 0.042 0.967
## .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
## -0.003 -0.003
## -0.006 -0.006
## -0.010 -0.010
## -0.004 -0.004
## 0.003 0.003
## -0.002 -0.002
## -0.007 -0.007
## -0.002 -0.002
## -0.002 -0.002
## 0.003 0.003
## -0.002 -0.002
## -0.003 -0.003
## 0.003 0.003
## -0.001 -0.001
## 0.004 0.004
## 0.007 0.007
## 0.006 0.006
## 0.002 0.002
## 0.005 0.005
## 0.005 0.005
## 0.008 0.008
## -0.001 -0.001
## 0.003 0.003
## 0.007 0.007
## 0.001 0.001
## 0.001 0.001
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 0.000 0.000
## 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 0.115 0.020 5.865 0.000
## CBCL_Q03_P|t2 1.374 0.028 49.207 0.000
## CBCL_Q07_P|t1 0.613 0.021 29.349 0.000
## CBCL_Q07_P|t2 2.009 0.043 46.389 0.000
## CBCL_Q109_P|t1 0.537 0.021 26.103 0.000
## CBCL_Q109_P|t2 1.969 0.042 47.003 0.000
## CBCL_Q15_P|t1 2.357 0.060 39.314 0.000
## CBCL_Q15_P|t2 3.299 0.198 16.626 0.000
## CBCL_Q16_P|t1 1.448 0.029 49.754 0.000
## CBCL_Q16_P|t2 2.786 0.098 28.549 0.000
## CBCL_Q19_P|t1 0.773 0.022 35.503 0.000
## CBCL_Q19_P|t2 1.780 0.036 49.234 0.000
## CBCL_Q26_P|t1 1.217 0.026 47.196 0.000
## CBCL_Q26_P|t2 2.254 0.054 41.676 0.000
## CBCL_Q27_P|t1 0.796 0.022 36.288 0.000
## CBCL_Q27_P|t2 1.957 0.041 47.187 0.000
## CBCL_Q34_P|t1 1.609 0.032 50.090 0.000
## CBCL_Q34_P|t2 2.663 0.084 31.708 0.000
## CBCL_Q37_P|t1 1.921 0.040 47.688 0.000
## CBCL_Q37_P|t2 3.033 0.135 22.484 0.000
## CBCL_Q39_P|t1 1.521 0.030 50.050 0.000
## CBCL_Q39_P|t2 2.684 0.086 31.154 0.000
## CBCL_Q43_P|t1 0.749 0.022 34.624 0.000
## CBCL_Q43_P|t2 2.157 0.049 43.701 0.000
## CBCL_Q67_P|t1 2.623 0.080 32.728 0.000
## CBCL_Q67_P|t2 3.489 0.267 13.054 0.000
## CBCL_Q68_P|t1 1.268 0.026 47.978 0.000
## CBCL_Q68_P|t2 2.210 0.052 42.620 0.000
## CBCL_Q72_P|t1 2.684 0.086 31.154 0.000
## CBCL_Q72_P|t2 3.489 0.267 13.054 0.000
## CBCL_Q74_P|t1 0.565 0.021 27.320 0.000
## CBCL_Q74_P|t2 1.823 0.037 48.837 0.000
## CBCL_Q86_P|t1 0.393 0.020 19.600 0.000
## CBCL_Q86_P|t2 1.737 0.035 49.558 0.000
## CBCL_Q87_P|t1 0.867 0.022 38.664 0.000
## CBCL_Q87_P|t2 2.009 0.043 46.389 0.000
## CBCL_Q88_P|t1 1.106 0.025 45.087 0.000
## CBCL_Q88_P|t2 2.231 0.053 42.164 0.000
## CBCL_Q89_P|t1 1.917 0.040 47.739 0.000
## CBCL_Q89_P|t2 2.758 0.094 29.269 0.000
## CBCL_Q90_P|t1 1.548 0.031 50.100 0.000
## CBCL_Q90_P|t2 2.398 0.063 38.337 0.000
## CBCL_Q94_P|t1 1.286 0.027 48.221 0.000
## CBCL_Q94_P|t2 2.469 0.067 36.620 0.000
## CBCL_Q95_P|t1 0.618 0.021 29.530 0.000
## CBCL_Q95_P|t2 1.760 0.036 49.397 0.000
## CBCL_Q96_P|t1 2.495 0.069 35.964 0.000
## CBCL_Q96_P|t2 3.299 0.198 16.626 0.000
## Com1_Attack|t1 1.492 0.030 49.964 0.000
## Com1_Attack|t2 2.888 0.111 25.994 0.000
## Com2_Destry|t1 1.695 0.034 49.808 0.000
## Com2_Destry|t2 3.033 0.135 22.484 0.000
## Com3_Disbys|t1 0.752 0.022 34.742 0.000
## Com3_Disbys|t2 2.367 0.061 39.080 0.000
## Com4_Steals|t1 1.708 0.034 49.740 0.000
## Com4_Steals|t2 2.977 0.125 23.806 0.000
## Com5_Peer|t1 1.134 0.025 45.682 0.000
## Com5_Peer|t2 2.456 0.067 36.931 0.000
## CBCL_Q112_P|t1 0.276 0.020 13.972 0.000
## CBCL_Q112_P|t2 1.648 0.033 50.000 0.000
## CBCL_Q12_P|t1 1.195 0.026 46.834 0.000
## CBCL_Q12_P|t2 2.269 0.055 41.330 0.000
## CBCL_Q29_P|t1 0.882 0.023 39.143 0.000
## CBCL_Q29_P|t2 2.067 0.046 45.405 0.000
## CBCL_Q30_P|t1 1.748 0.035 49.481 0.000
## CBCL_Q30_P|t2 2.684 0.086 31.154 0.000
## CBCL_Q31_P|t1 1.358 0.028 49.060 0.000
## CBCL_Q31_P|t2 2.482 0.068 36.298 0.000
## CBCL_Q32_P|t1 0.482 0.020 23.689 0.000
## CBCL_Q32_P|t2 1.667 0.033 49.932 0.000
## CBCL_Q35_P|t1 1.063 0.024 44.126 0.000
## CBCL_Q35_P|t2 2.320 0.058 40.184 0.000
## CBCL_Q45_P|t1 0.821 0.022 37.153 0.000
## CBCL_Q45_P|t2 1.982 0.042 46.809 0.000
## CBCL_Q50_P|t1 0.720 0.021 33.564 0.000
## CBCL_Q50_P|t2 1.880 0.039 48.205 0.000
## CBCL_Q52_P|t1 1.432 0.029 49.661 0.000
## CBCL_Q52_P|t2 2.509 0.070 35.616 0.000
## CBCL_Q71_P|t1 0.120 0.020 6.145 0.000
## CBCL_Q71_P|t2 1.509 0.030 50.020 0.000
## CBCL_Q01_P|t1 0.818 0.022 37.067 0.000
## CBCL_Q01_P|t2 2.009 0.043 46.389 0.000
## CBCL_Q04_P|t1 0.247 0.020 12.514 0.000
## CBCL_Q04_P|t2 1.590 0.032 50.111 0.000
## CBCL_Q09_P|t1 0.624 0.021 29.801 0.000
## CBCL_Q09_P|t2 1.685 0.034 49.858 0.000
## CBCL_Q13_P|t1 1.690 0.034 49.834 0.000
## CBCL_Q13_P|t2 2.523 0.072 35.255 0.000
## CBCL_Q17_P|t1 0.578 0.021 27.866 0.000
## CBCL_Q17_P|t2 1.777 0.036 49.259 0.000
## CBCL_Q36_P|t1 1.008 0.024 42.764 0.000
## CBCL_Q36_P|t2 2.072 0.046 45.313 0.000
## CBCL_Q46_P|t1 1.279 0.027 48.129 0.000
## CBCL_Q46_P|t2 2.127 0.048 44.291 0.000
## CBCL_Q61_P|t1 1.206 0.026 47.027 0.000
## CBCL_Q61_P|t2 2.224 0.053 42.320 0.000
## CBCL_Q62_P|t1 1.199 0.026 46.899 0.000
## CBCL_Q62_P|t2 2.163 0.050 43.576 0.000
## CBCL_Q64_P|t1 1.012 0.024 42.869 0.000
## CBCL_Q64_P|t2 2.196 0.051 42.908 0.000
## CBCL_Q66_P|t1 1.571 0.031 50.115 0.000
## CBCL_Q66_P|t2 2.311 0.057 40.388 0.000
## CBCL_Q80_P|t1 1.429 0.029 49.639 0.000
## CBCL_Q80_P|t2 2.523 0.072 35.255 0.000
## CBCL_Q85_P|t1 1.544 0.031 50.094 0.000
## CBCL_Q85_P|t2 2.732 0.091 29.940 0.000
## CBCL_Q93_P|t1 0.623 0.021 29.741 0.000
## CBCL_Q93_P|t2 1.672 0.034 49.912 0.000
## Cm6_Dstrctd|t1 0.342 0.020 17.161 0.000
## Cm6_Dstrctd|t2 1.530 0.031 50.071 0.000
## CBCL_Q51_P|t1 1.737 0.035 49.558 0.000
## CBCL_Q51_P|t2 2.888 0.111 25.994 0.000
## CBCL_Q56A_P|t1 0.946 0.023 41.053 0.000
## CBCL_Q56A_P|t2 2.176 0.050 43.317 0.000
## CBCL_Q56B_P|t1 0.576 0.021 27.806 0.000
## CBCL_Q56B_P|t2 2.042 0.045 45.841 0.000
## CBCL_Q56C_P|t1 1.070 0.024 44.276 0.000
## CBCL_Q56C_P|t2 2.338 0.059 39.761 0.000
## CBCL_Q56D_P|t1 1.887 0.039 48.118 0.000
## CBCL_Q56D_P|t2 2.604 0.078 33.200 0.000
## CBCL_Q56E_P|t1 1.065 0.024 44.176 0.000
## CBCL_Q56E_P|t2 2.145 0.049 43.944 0.000
## CBCL_Q56F_P|t1 0.710 0.021 33.179 0.000
## CBCL_Q56F_P|t2 2.072 0.046 45.313 0.000
## CBCL_Q56G_P|t1 1.724 0.035 49.646 0.000
## CBCL_Q56G_P|t2 2.977 0.125 23.806 0.000
## CBCL_Q56H_P|t1 1.978 0.042 46.874 0.000
## CBCL_Q56H_P|t2 2.684 0.086 31.154 0.000
## CBCL_Q102_P|t1 1.524 0.030 50.059 0.000
## CBCL_Q102_P|t2 2.523 0.072 35.255 0.000
## CBCL_Q111_P|t1 1.550 0.031 50.102 0.000
## CBCL_Q111_P|t2 2.707 0.089 30.566 0.000
## CBCL_Q42_P|t1 0.946 0.023 41.053 0.000
## CBCL_Q42_P|t2 2.246 0.054 41.842 0.000
## CBCL_Q65_P|t1 1.449 0.029 49.764 0.000
## CBCL_Q65_P|t2 2.538 0.073 34.879 0.000
## CBCL_Q75_P|t1 0.869 0.022 38.721 0.000
## CBCL_Q75_P|t2 2.037 0.044 45.923 0.000
## Std.lv Std.all
## 0.115 0.115
## 1.374 1.374
## 0.613 0.613
## 2.009 2.009
## 0.537 0.537
## 1.969 1.969
## 2.357 2.357
## 3.299 3.299
## 1.448 1.448
## 2.786 2.786
## 0.773 0.773
## 1.780 1.780
## 1.217 1.217
## 2.254 2.254
## 0.796 0.796
## 1.957 1.957
## 1.609 1.609
## 2.663 2.663
## 1.921 1.921
## 3.033 3.033
## 1.521 1.521
## 2.684 2.684
## 0.749 0.749
## 2.157 2.157
## 2.623 2.623
## 3.489 3.489
## 1.268 1.268
## 2.210 2.210
## 2.684 2.684
## 3.489 3.489
## 0.565 0.565
## 1.823 1.823
## 0.393 0.393
## 1.737 1.737
## 0.867 0.867
## 2.009 2.009
## 1.106 1.106
## 2.231 2.231
## 1.917 1.917
## 2.758 2.758
## 1.548 1.548
## 2.398 2.398
## 1.286 1.286
## 2.469 2.469
## 0.618 0.618
## 1.760 1.760
## 2.495 2.495
## 3.299 3.299
## 1.492 1.492
## 2.888 2.888
## 1.695 1.695
## 3.033 3.033
## 0.752 0.752
## 2.367 2.367
## 1.708 1.708
## 2.977 2.977
## 1.134 1.134
## 2.456 2.456
## 0.276 0.276
## 1.648 1.648
## 1.195 1.195
## 2.269 2.269
## 0.882 0.882
## 2.067 2.067
## 1.748 1.748
## 2.684 2.684
## 1.358 1.358
## 2.482 2.482
## 0.482 0.482
## 1.667 1.667
## 1.063 1.063
## 2.320 2.320
## 0.821 0.821
## 1.982 1.982
## 0.720 0.720
## 1.880 1.880
## 1.432 1.432
## 2.509 2.509
## 0.120 0.120
## 1.509 1.509
## 0.818 0.818
## 2.009 2.009
## 0.247 0.247
## 1.590 1.590
## 0.624 0.624
## 1.685 1.685
## 1.690 1.690
## 2.523 2.523
## 0.578 0.578
## 1.777 1.777
## 1.008 1.008
## 2.072 2.072
## 1.279 1.279
## 2.127 2.127
## 1.206 1.206
## 2.224 2.224
## 1.199 1.199
## 2.163 2.163
## 1.012 1.012
## 2.196 2.196
## 1.571 1.571
## 2.311 2.311
## 1.429 1.429
## 2.523 2.523
## 1.544 1.544
## 2.732 2.732
## 0.623 0.623
## 1.672 1.672
## 0.342 0.342
## 1.530 1.530
## 1.737 1.737
## 2.888 2.888
## 0.946 0.946
## 2.176 2.176
## 0.576 0.576
## 2.042 2.042
## 1.070 1.070
## 2.338 2.338
## 1.887 1.887
## 2.604 2.604
## 1.065 1.065
## 2.145 2.145
## 0.710 0.710
## 2.072 2.072
## 1.724 1.724
## 2.977 2.977
## 1.978 1.978
## 2.684 2.684
## 1.524 1.524
## 2.523 2.523
## 1.550 1.550
## 2.707 2.707
## 0.946 0.946
## 2.246 2.246
## 1.449 1.449
## 2.538 2.538
## 0.869 0.869
## 2.037 2.037
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .p 1.000
## BAS 1.000
## g 1.000
## .CBCL_Q03_P 0.394
## .CBCL_Q07_P 0.690
## .CBCL_Q109_P 0.586
## .CBCL_Q15_P 0.533
## .CBCL_Q16_P 0.473
## .CBCL_Q19_P 0.462
## .CBCL_Q26_P 0.516
## .CBCL_Q27_P 0.505
## .CBCL_Q34_P 0.495
## .CBCL_Q37_P 0.390
## .CBCL_Q39_P 0.718
## .CBCL_Q43_P 0.505
## .CBCL_Q67_P 0.361
## .CBCL_Q68_P 0.400
## .CBCL_Q72_P 0.730
## .CBCL_Q74_P 0.674
## .CBCL_Q86_P 0.384
## .CBCL_Q87_P 0.394
## .CBCL_Q88_P 0.448
## .CBCL_Q89_P 0.411
## .CBCL_Q90_P 0.657
## .CBCL_Q94_P 0.637
## .CBCL_Q95_P 0.413
## .CBCL_Q96_P 0.617
## .Com1_Attack 0.442
## .Com2_Destroy 0.426
## .Com3_Disobeys 0.356
## .Com4_Steals 0.498
## .Com5_Peer 0.442
## .CBCL_Q112_P 0.413
## .CBCL_Q12_P 0.406
## .CBCL_Q29_P 0.622
## .CBCL_Q30_P 0.517
## .CBCL_Q31_P 0.562
## .CBCL_Q32_P 0.759
## .CBCL_Q35_P 0.350
## .CBCL_Q45_P 0.327
## .CBCL_Q50_P 0.358
## .CBCL_Q52_P 0.552
## .CBCL_Q71_P 0.518
## .CBCL_Q01_P 0.546
## .CBCL_Q04_P 0.442
## .CBCL_Q09_P 0.430
## .CBCL_Q13_P 0.476
## .CBCL_Q17_P 0.659
## .CBCL_Q36_P 0.695
## .CBCL_Q46_P 0.587
## .CBCL_Q61_P 0.458
## .CBCL_Q62_P 0.561
## .CBCL_Q64_P 0.633
## .CBCL_Q66_P 0.465
## .CBCL_Q80_P 0.492
## .CBCL_Q85_P 0.486
## .CBCL_Q93_P 0.635
## .Com6_Distractd 0.344
## .CBCL_Q51_P 0.542
## .CBCL_Q56A_P 0.569
## .CBCL_Q56B_P 0.648
## .CBCL_Q56C_P 0.268
## .CBCL_Q56D_P 0.769
## .CBCL_Q56E_P 0.835
## .CBCL_Q56F_P 0.402
## .CBCL_Q56G_P 0.690
## .CBCL_Q56H_P 0.547
## .CBCL_Q102_P 0.411
## .CBCL_Q111_P 0.229
## .CBCL_Q42_P 0.613
## .CBCL_Q65_P 0.367
## .CBCL_Q75_P 0.638
## .BISBAS2_Y 0.677 0.027 25.431 0.000
## .BISBAS3_Y 0.638 0.027 23.700 0.000
## .BISBAS4_Y 0.584 0.028 20.513 0.000
## .BISBAS6_Y 0.710 0.026 27.058 0.000
## .BISBAS8_Y 0.535 0.019 27.619 0.000
## .BISBAS10_Y 0.611 0.019 32.241 0.000
## .BISBAS11_Y 0.739 0.020 37.395 0.000
## .BISBAS12_Y 0.468 0.019 24.411 0.000
## .BISBAS13_Y 0.545 0.019 28.686 0.000
## .BISBAS14_Y 0.403 0.019 21.601 0.000
## .BISBAS15_Y 0.441 0.019 22.995 0.000
## .BISBAS16_Y 0.695 0.021 33.679 0.000
## .BISBAS17_Y 0.645 0.022 29.686 0.000
## .BISBAS18_Y 0.636 0.020 31.636 0.000
## .BISBAS19_Y 0.722 0.022 33.460 0.000
## .BISBAS20_Y 0.648 0.021 30.919 0.000
## .NIHTBX_FLANKER 0.650 0.020 31.978 0.000
## .NIHTBX_CARDSOR 0.443 0.027 16.378 0.000
## .NIHTBX_PATTERN 0.655 0.024 27.419 0.000
## .NIHTBX_PICVOCA 0.534 0.023 23.043 0.000
## .NIHTBX_READING 0.473 0.024 19.979 0.000
## .NIHTBX_PICTURE 0.713 0.023 31.444 0.000
## .PEA_RAVLT_LD_T 0.665 0.023 29.192 0.000
## .NIHTBX_LIST_UN 0.611 0.024 25.524 0.000
## .LMT_SCR_PERC_C 0.743 0.023 32.956 0.000
## .PEA_WISCV_TRS 0.698 0.024 29.203 0.000
## .Ext 0.197 0.011 17.401 0.000
## .Int 0.246 0.013 18.989 0.000
## .Att 0.093 0.009 10.141 0.000
## .Som 0.311 0.043 7.210 0.000
## .Det 0.267 0.024 10.980 0.000
## BIS 0.319 0.029 10.994 0.000
## .RR 0.151 0.017 8.718 0.000
## .Drive 0.199 0.018 11.187 0.000
## .Fun 0.124 0.015 8.254 0.000
## .EF 0.209 0.015 13.720 0.000
## .verbal 0.229 0.019 11.739 0.000
## .memory 0.061 0.013 4.505 0.000
## .spatial 0.020 0.016 1.257 0.209
## Std.lv Std.all
## 0.920 0.920
## 1.000 1.000
## 1.000 1.000
## 0.394 0.394
## 0.690 0.690
## 0.586 0.586
## 0.533 0.533
## 0.473 0.473
## 0.462 0.462
## 0.516 0.516
## 0.505 0.505
## 0.495 0.495
## 0.390 0.390
## 0.718 0.718
## 0.505 0.505
## 0.361 0.361
## 0.400 0.400
## 0.730 0.730
## 0.674 0.674
## 0.384 0.384
## 0.394 0.394
## 0.448 0.448
## 0.411 0.411
## 0.657 0.657
## 0.637 0.637
## 0.413 0.413
## 0.617 0.617
## 0.442 0.442
## 0.426 0.426
## 0.356 0.356
## 0.498 0.498
## 0.442 0.442
## 0.413 0.413
## 0.406 0.406
## 0.622 0.622
## 0.517 0.517
## 0.562 0.562
## 0.759 0.759
## 0.350 0.350
## 0.327 0.327
## 0.358 0.358
## 0.552 0.552
## 0.518 0.518
## 0.546 0.546
## 0.442 0.442
## 0.430 0.430
## 0.476 0.476
## 0.659 0.659
## 0.695 0.695
## 0.587 0.587
## 0.458 0.458
## 0.561 0.561
## 0.633 0.633
## 0.465 0.465
## 0.492 0.492
## 0.486 0.486
## 0.635 0.635
## 0.344 0.344
## 0.542 0.542
## 0.569 0.569
## 0.648 0.648
## 0.268 0.268
## 0.769 0.769
## 0.835 0.835
## 0.402 0.402
## 0.690 0.690
## 0.547 0.547
## 0.411 0.411
## 0.229 0.229
## 0.613 0.613
## 0.367 0.367
## 0.638 0.638
## 0.677 0.680
## 0.638 0.640
## 0.584 0.587
## 0.710 0.717
## 0.535 0.540
## 0.611 0.615
## 0.739 0.739
## 0.468 0.470
## 0.545 0.543
## 0.403 0.402
## 0.441 0.441
## 0.695 0.698
## 0.645 0.641
## 0.636 0.639
## 0.722 0.730
## 0.648 0.645
## 0.650 0.657
## 0.443 0.441
## 0.655 0.659
## 0.534 0.531
## 0.473 0.470
## 0.713 0.713
## 0.665 0.668
## 0.611 0.611
## 0.743 0.747
## 0.698 0.695
## 0.325 0.325
## 0.419 0.419
## 0.204 0.204
## 0.678 0.678
## 0.454 0.454
## 1.000 1.000
## 0.330 0.330
## 0.433 0.433
## 0.342 0.342
## 0.617 0.617
## 0.484 0.484
## 0.212 0.212
## 0.080 0.080
##
## 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 0.080
## CBCL_Q03_P 0.606
## CBCL_Q07_P 0.310
## CBCL_Q109_P 0.414
## CBCL_Q15_P 0.467
## CBCL_Q16_P 0.527
## CBCL_Q19_P 0.538
## CBCL_Q26_P 0.484
## CBCL_Q27_P 0.495
## CBCL_Q34_P 0.505
## CBCL_Q37_P 0.610
## CBCL_Q39_P 0.282
## CBCL_Q43_P 0.495
## CBCL_Q67_P 0.639
## CBCL_Q68_P 0.600
## CBCL_Q72_P 0.270
## CBCL_Q74_P 0.326
## CBCL_Q86_P 0.616
## CBCL_Q87_P 0.606
## CBCL_Q88_P 0.552
## CBCL_Q89_P 0.589
## CBCL_Q90_P 0.343
## CBCL_Q94_P 0.363
## CBCL_Q95_P 0.587
## CBCL_Q96_P 0.383
## Com1_Attack 0.558
## Com2_Destroy 0.574
## Com3_Disobeys 0.644
## Com4_Steals 0.502
## Com5_Peer 0.558
## CBCL_Q112_P 0.587
## CBCL_Q12_P 0.594
## CBCL_Q29_P 0.378
## CBCL_Q30_P 0.483
## CBCL_Q31_P 0.438
## CBCL_Q32_P 0.241
## CBCL_Q35_P 0.650
## CBCL_Q45_P 0.673
## CBCL_Q50_P 0.642
## CBCL_Q52_P 0.448
## CBCL_Q71_P 0.482
## CBCL_Q01_P 0.454
## CBCL_Q04_P 0.558
## CBCL_Q09_P 0.570
## CBCL_Q13_P 0.524
## CBCL_Q17_P 0.341
## CBCL_Q36_P 0.305
## CBCL_Q46_P 0.413
## CBCL_Q61_P 0.542
## CBCL_Q62_P 0.439
## CBCL_Q64_P 0.367
## CBCL_Q66_P 0.535
## CBCL_Q80_P 0.508
## CBCL_Q85_P 0.514
## CBCL_Q93_P 0.365
## Com6_Distractd 0.656
## CBCL_Q51_P 0.458
## CBCL_Q56A_P 0.431
## CBCL_Q56B_P 0.352
## CBCL_Q56C_P 0.732
## CBCL_Q56D_P 0.231
## CBCL_Q56E_P 0.165
## CBCL_Q56F_P 0.598
## CBCL_Q56G_P 0.310
## CBCL_Q56H_P 0.453
## CBCL_Q102_P 0.589
## CBCL_Q111_P 0.771
## CBCL_Q42_P 0.387
## CBCL_Q65_P 0.633
## CBCL_Q75_P 0.362
## BISBAS2_Y 0.320
## BISBAS3_Y 0.360
## BISBAS4_Y 0.413
## BISBAS6_Y 0.283
## BISBAS8_Y 0.460
## BISBAS10_Y 0.385
## BISBAS11_Y 0.261
## BISBAS12_Y 0.530
## BISBAS13_Y 0.457
## BISBAS14_Y 0.598
## BISBAS15_Y 0.559
## BISBAS16_Y 0.302
## BISBAS17_Y 0.359
## BISBAS18_Y 0.361
## BISBAS19_Y 0.270
## BISBAS20_Y 0.355
## NIHTBX_FLANKER 0.343
## NIHTBX_CARDSOR 0.559
## NIHTBX_PATTERN 0.341
## NIHTBX_PICVOCA 0.469
## NIHTBX_READING 0.530
## NIHTBX_PICTURE 0.287
## PEA_RAVLT_LD_T 0.332
## NIHTBX_LIST_UN 0.389
## LMT_SCR_PERC_C 0.253
## PEA_WISCV_TRS 0.305
## Ext 0.675
## Int 0.581
## Att 0.796
## Som 0.322
## Det 0.546
## RR 0.670
## Drive 0.567
## Fun 0.658
## EF 0.383
## verbal 0.516
## memory 0.788
## spatial 0.920BIS_BAS_G_PFac.Fit.score <- lavaan::standardizedSolution(BIS_BAS_G_PFac.Fit) %>%
filter(op == "~")
BIS_BAS_G_PFac.Fit.score %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| p | ~ | BIS | 0.0618915 | 0.0256443 | 2.413460 | 0.0158019 | 0.0116296 | 0.1121534 |
| p | ~ | BAS | 0.1063634 | 0.0251417 | 4.230548 | 0.0000233 | 0.0570864 | 0.1556403 |
| p | ~ | g | -0.2219986 | 0.0227432 | -9.761098 | 0.0000000 | -0.2665744 | -0.1774227 |
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$est.std,3),s_BIS_BAS_G_PFac.Fit.score[,7]))
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 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
BIS ~ pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
g ~ pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
'
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 192 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 98
##
## Used Total
## Number of observations 4129 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 2143.305 2692.552
## Degrees of freedom 565 565
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 0.796
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 137404.313 170247.837
## Degrees of freedom 637 637
## P-value 0.000 0.000
## Scaling correction factor 0.807
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.988 0.987
## Tucker-Lewis Index (TLI) 0.987 0.986
##
## Robust Comparative Fit Index (CFI) 0.988
## Robust Tucker-Lewis Index (TLI) 0.986
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -140835.292 -140835.292
## Scaling correction factor 0.921
## for the MLR correction
## Loglikelihood unrestricted model (H1) -139763.639 -139763.639
## Scaling correction factor 0.814
## for the MLR correction
##
## Akaike (AIC) 281866.583 281866.583
## Bayesian (BIC) 282486.511 282486.511
## Sample-size adjusted Bayesian (BIC) 282175.109 282175.109
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.026 0.030
## 90 Percent confidence interval - lower 0.025 0.029
## 90 Percent confidence interval - upper 0.027 0.031
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.027
## 90 Percent confidence interval - lower 0.026
## 90 Percent confidence interval - upper 0.028
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.023 0.023
##
## 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 1.075 0.068 15.738 0.000
## BISBAS4_Y 1.125 0.069 16.273 0.000
## BISBAS6_Y 1.023 0.035 29.283 0.000
## RR =~
## BISBAS8_Y 1.000
## BISBAS10_Y 1.007 0.029 34.855 0.000
## BISBAS11_Y 0.853 0.032 26.265 0.000
## BISBAS12_Y 1.115 0.032 35.239 0.000
## Drive =~
## BISBAS13_Y 1.000
## BISBAS14_Y 1.082 0.024 45.600 0.000
## BISBAS15_Y 0.986 0.027 36.206 0.000
## BISBAS16_Y 0.778 0.031 25.476 0.000
## Fun =~
## BISBAS17_Y 1.000
## BISBAS18_Y 1.182 0.049 24.305 0.000
## BISBAS19_Y 1.010 0.046 21.845 0.000
## BISBAS20_Y 0.986 0.038 25.857 0.000
## BAS =~
## RR 0.556 0.016 33.963 0.000
## Drive 0.514 0.016 32.020 0.000
## Fun 0.430 0.019 23.243 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.243 0.050 24.802 0.000
## NIHTBX_PATTERN 1.010 0.046 21.840 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.064 0.039 26.968 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.045 0.039 26.806 0.000
## NIHTBX_LIST_UN 1.132 0.056 20.384 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.191 0.054 21.861 0.000
## g =~
## EF 0.347 0.017 19.913 0.000
## verbal 0.527 0.018 29.024 0.000
## memory 0.456 0.016 28.370 0.000
## spatial 0.471 0.017 27.491 0.000
## Std.lv Std.all
##
## 0.560 0.561
## 0.603 0.603
## 0.631 0.632
## 0.573 0.576
##
## 0.637 0.640
## 0.641 0.643
## 0.543 0.544
## 0.711 0.712
##
## 0.717 0.716
## 0.775 0.775
## 0.706 0.707
## 0.557 0.559
##
## 0.558 0.557
## 0.660 0.661
## 0.564 0.567
## 0.551 0.549
##
## 0.876 0.876
## 0.720 0.720
## 0.773 0.773
##
## 0.589 0.592
## 0.732 0.730
## 0.595 0.596
##
## 0.687 0.684
## 0.731 0.729
##
## 0.547 0.547
## 0.571 0.573
## 0.619 0.620
##
## 0.482 0.484
## 0.574 0.573
##
## 0.595 0.595
## 0.773 0.773
## 0.841 0.841
## 0.986 0.986
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## BIS ~
## wryMDDp5_2_scr 0.023 0.010 2.213 0.027
## BAS ~
## wryMDDp5_2_scr 0.010 0.018 0.566 0.572
## g ~
## wryMDDp5_2_scr -0.046 0.019 -2.402 0.016
## BIS ~
## wryMDDp5_2_cnt 0.000 0.000 0.606 0.545
## BAS ~
## wryMDDp5_2_cnt 0.000 0.000 0.934 0.350
## g ~
## wryMDDp5_2_cnt -0.000 0.000 -1.084 0.278
## BAS ~
## pc1 2.174 1.313 1.656 0.098
## pc2 1.072 1.284 0.835 0.404
## pc3 -4.502 0.991 -4.542 0.000
## pc4 2.200 0.939 2.342 0.019
## pc5 -1.437 0.704 -2.041 0.041
## pc6 -0.268 0.763 -0.351 0.726
## pc7 -1.999 0.699 -2.860 0.004
## pc8 0.312 1.353 0.231 0.818
## pc9 -0.350 0.712 -0.491 0.624
## pc10 2.435 0.697 3.495 0.000
## BIS ~
## pc1 -0.094 0.769 -0.122 0.903
## pc2 -0.622 0.690 -0.901 0.367
## pc3 -1.227 0.540 -2.273 0.023
## pc4 0.892 0.557 1.600 0.110
## pc5 0.701 0.468 1.500 0.134
## pc6 -0.310 0.446 -0.695 0.487
## pc7 -0.568 0.290 -1.956 0.050
## pc8 1.152 0.469 2.456 0.014
## pc9 -0.052 0.306 -0.171 0.864
## pc10 0.156 0.372 0.420 0.674
## g ~
## pc1 2.507 1.333 1.880 0.060
## pc2 -6.523 1.280 -5.097 0.000
## pc3 4.415 0.844 5.228 0.000
## pc4 -1.908 0.806 -2.366 0.018
## pc5 1.848 0.820 2.253 0.024
## pc6 0.158 1.040 0.152 0.879
## pc7 1.747 0.625 2.794 0.005
## pc8 1.381 0.998 1.384 0.166
## pc9 -0.210 0.829 -0.253 0.800
## pc10 -1.884 0.955 -1.972 0.049
## Std.lv Std.all
##
## 0.041 0.041
##
## 0.010 0.010
##
## -0.046 -0.046
##
## 0.000 0.012
##
## 0.000 0.019
##
## -0.000 -0.022
##
## 2.166 0.029
## 1.068 0.015
## -4.484 -0.053
## 2.191 0.025
## -1.431 -0.017
## -0.267 -0.003
## -1.991 -0.030
## 0.311 0.004
## -0.348 -0.005
## 2.426 0.029
##
## -0.168 -0.002
## -1.111 -0.015
## -2.189 -0.026
## 1.592 0.018
## 1.251 0.015
## -0.554 -0.007
## -1.013 -0.015
## 2.056 0.024
## -0.094 -0.001
## 0.279 0.003
##
## 2.487 0.034
## -6.470 -0.089
## 4.378 0.052
## -1.893 -0.021
## 1.833 0.022
## 0.157 0.002
## 1.733 0.026
## 1.370 0.016
## -0.208 -0.003
## -1.868 -0.022
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .BIS ~~
## .BAS 0.247 0.016 15.224 0.000
## .g -0.019 0.014 -1.387 0.165
## .BAS ~~
## .g -0.166 0.023 -7.342 0.000
## Std.lv Std.all
##
## 0.441 0.441
## -0.034 -0.034
##
## -0.166 -0.166
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .BAS 1.000
## .g 1.000
## .BISBAS2_Y 0.683 0.024 28.416 0.000
## .BISBAS3_Y 0.634 0.023 27.386 0.000
## .BISBAS4_Y 0.597 0.024 24.699 0.000
## .BISBAS6_Y 0.661 0.024 27.521 0.000
## .BISBAS8_Y 0.585 0.018 31.959 0.000
## .BISBAS10_Y 0.583 0.018 32.011 0.000
## .BISBAS11_Y 0.704 0.022 31.924 0.000
## .BISBAS12_Y 0.491 0.017 28.843 0.000
## .BISBAS13_Y 0.490 0.017 29.372 0.000
## .BISBAS14_Y 0.401 0.016 25.216 0.000
## .BISBAS15_Y 0.501 0.016 31.538 0.000
## .BISBAS16_Y 0.685 0.023 29.563 0.000
## .BISBAS17_Y 0.694 0.018 37.637 0.000
## .BISBAS18_Y 0.560 0.020 28.623 0.000
## .BISBAS19_Y 0.671 0.019 35.456 0.000
## .BISBAS20_Y 0.701 0.020 35.507 0.000
## .NIHTBX_FLANKER 0.643 0.023 28.420 0.000
## .NIHTBX_CARDSOR 0.469 0.024 19.339 0.000
## .NIHTBX_PATTERN 0.641 0.021 30.228 0.000
## .NIHTBX_PICVOCA 0.536 0.023 23.106 0.000
## .NIHTBX_READING 0.472 0.023 20.509 0.000
## .NIHTBX_PICTURE 0.701 0.020 35.153 0.000
## .PEA_RAVLT_LD_T 0.669 0.022 30.903 0.000
## .NIHTBX_LIST_UN 0.616 0.022 28.544 0.000
## .LMT_SCR_PERC_C 0.761 0.021 36.308 0.000
## .PEA_WISCV_TRS 0.674 0.023 29.300 0.000
## .BIS 0.313 0.025 12.683 0.000
## .RR 0.095 0.012 7.689 0.000
## .Drive 0.247 0.016 15.523 0.000
## .Fun 0.125 0.011 11.334 0.000
## .EF 0.224 0.016 14.256 0.000
## .verbal 0.190 0.016 11.706 0.000
## .memory 0.088 0.013 7.001 0.000
## .spatial 0.007 0.012 0.558 0.577
## Std.lv Std.all
## 0.992 0.992
## 0.984 0.984
## 0.683 0.685
## 0.634 0.636
## 0.597 0.600
## 0.661 0.668
## 0.585 0.591
## 0.583 0.586
## 0.704 0.705
## 0.491 0.493
## 0.490 0.488
## 0.401 0.400
## 0.501 0.501
## 0.685 0.688
## 0.694 0.690
## 0.560 0.563
## 0.671 0.678
## 0.701 0.698
## 0.643 0.650
## 0.469 0.467
## 0.641 0.644
## 0.536 0.532
## 0.472 0.469
## 0.701 0.701
## 0.669 0.672
## 0.616 0.616
## 0.761 0.766
## 0.674 0.671
## 0.995 0.995
## 0.233 0.233
## 0.481 0.481
## 0.402 0.402
## 0.646 0.646
## 0.403 0.403
## 0.293 0.293
## 0.029 0.029
##
## R-Square:
## Estimate
## BAS 0.008
## g 0.016
## BISBAS2_Y 0.315
## BISBAS3_Y 0.364
## BISBAS4_Y 0.400
## BISBAS6_Y 0.332
## BISBAS8_Y 0.409
## BISBAS10_Y 0.414
## BISBAS11_Y 0.295
## BISBAS12_Y 0.507
## BISBAS13_Y 0.512
## BISBAS14_Y 0.600
## BISBAS15_Y 0.499
## BISBAS16_Y 0.312
## BISBAS17_Y 0.310
## BISBAS18_Y 0.437
## BISBAS19_Y 0.322
## BISBAS20_Y 0.302
## NIHTBX_FLANKER 0.350
## NIHTBX_CARDSOR 0.533
## NIHTBX_PATTERN 0.356
## NIHTBX_PICVOCA 0.468
## NIHTBX_READING 0.531
## NIHTBX_PICTURE 0.299
## PEA_RAVLT_LD_T 0.328
## NIHTBX_LIST_UN 0.384
## LMT_SCR_PERC_C 0.234
## PEA_WISCV_TRS 0.329
## BIS 0.005
## RR 0.767
## Drive 0.519
## Fun 0.598
## EF 0.354
## verbal 0.597
## memory 0.707
## spatial 0.971MDD_PRS_BIS_BAS_G.Fit.p5e_2 <- lavaan::standardizedSolution(MDD_PRS_BIS_BAS_G.Fit) %>%
filter(op == "~") %>%
filter(str_detect(rhs, "score"))
MDD_PRS_BIS_BAS_G.Fit.p5e_2 %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| BIS | ~ | wrayMDDp5e_2_score | 0.0414369 | 0.0185644 | 2.2320597 | 0.0256110 | 0.0050513 | 0.0778226 |
| BAS | ~ | wrayMDDp5e_2_score | 0.0101028 | 0.0178610 | 0.5656326 | 0.5716436 | -0.0249042 | 0.0451097 |
| g | ~ | wrayMDDp5e_2_score | -0.0459123 | 0.0190767 | -2.4067263 | 0.0160962 | -0.0833019 | -0.0085227 |
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$est.std,3),s[,7]))
### 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","BIS","g"), lhs))
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 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
BIS ~ pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
g ~ pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
'
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 193 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 98
##
## Used Total
## Number of observations 4129 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 2155.090 2707.025
## Degrees of freedom 565 565
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 0.796
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 120069.459 148735.236
## Degrees of freedom 637 637
## P-value 0.000 0.000
## Scaling correction factor 0.807
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.987 0.986
## Tucker-Lewis Index (TLI) 0.985 0.984
##
## Robust Comparative Fit Index (CFI) 0.986
## Robust Tucker-Lewis Index (TLI) 0.984
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -140821.360 -140821.360
## Scaling correction factor 0.922
## for the MLR correction
## Loglikelihood unrestricted model (H1) -139743.815 -139743.815
## Scaling correction factor 0.815
## for the MLR correction
##
## Akaike (AIC) 281838.719 281838.719
## Bayesian (BIC) 282458.646 282458.646
## Sample-size adjusted Bayesian (BIC) 282147.245 282147.245
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.026 0.030
## 90 Percent confidence interval - lower 0.025 0.029
## 90 Percent confidence interval - upper 0.027 0.032
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.027
## 90 Percent confidence interval - lower 0.026
## 90 Percent confidence interval - upper 0.028
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.024 0.024
##
## 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 1.077 0.069 15.705 0.000
## BISBAS4_Y 1.126 0.069 16.244 0.000
## BISBAS6_Y 1.023 0.035 29.302 0.000
## RR =~
## BISBAS8_Y 1.000
## BISBAS10_Y 1.007 0.029 34.844 0.000
## BISBAS11_Y 0.853 0.032 26.262 0.000
## BISBAS12_Y 1.116 0.032 35.239 0.000
## Drive =~
## BISBAS13_Y 1.000
## BISBAS14_Y 1.082 0.024 45.615 0.000
## BISBAS15_Y 0.986 0.027 36.196 0.000
## BISBAS16_Y 0.778 0.031 25.476 0.000
## Fun =~
## BISBAS17_Y 1.000
## BISBAS18_Y 1.180 0.049 24.292 0.000
## BISBAS19_Y 1.009 0.046 21.831 0.000
## BISBAS20_Y 0.986 0.038 25.853 0.000
## BAS =~
## RR 0.553 0.016 33.950 0.000
## Drive 0.513 0.016 32.107 0.000
## Fun 0.429 0.018 23.277 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.244 0.050 24.786 0.000
## NIHTBX_PATTERN 1.010 0.046 21.845 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.066 0.039 27.049 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.043 0.039 26.805 0.000
## NIHTBX_LIST_UN 1.135 0.056 20.352 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.184 0.054 21.838 0.000
## g =~
## EF 0.346 0.017 19.905 0.000
## verbal 0.525 0.018 29.064 0.000
## memory 0.454 0.016 28.357 0.000
## spatial 0.472 0.017 27.659 0.000
## Std.lv Std.all
##
## 0.560 0.561
## 0.603 0.604
## 0.631 0.633
## 0.573 0.576
##
## 0.637 0.640
## 0.641 0.643
## 0.543 0.544
## 0.711 0.712
##
## 0.717 0.715
## 0.775 0.775
## 0.707 0.707
## 0.557 0.559
##
## 0.559 0.557
## 0.660 0.661
## 0.564 0.567
## 0.551 0.550
##
## 0.875 0.875
## 0.721 0.721
## 0.773 0.773
##
## 0.588 0.592
## 0.732 0.731
## 0.595 0.596
##
## 0.686 0.684
## 0.732 0.729
##
## 0.547 0.547
## 0.570 0.571
## 0.620 0.621
##
## 0.484 0.485
## 0.573 0.572
##
## 0.595 0.595
## 0.774 0.774
## 0.840 0.840
## 0.986 0.986
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## BIS ~
## ADHDp5e_2_scor 0.008 0.011 0.721 0.471
## BAS ~
## ADHDp5e_2_scor 0.075 0.019 4.041 0.000
## g ~
## ADHDp5e_2_scor -0.092 0.019 -4.857 0.000
## BIS ~
## ADHDp5e_2_cnt 0.000 0.000 1.187 0.235
## BAS ~
## ADHDp5e_2_cnt 0.000 0.000 1.529 0.126
## g ~
## ADHDp5e_2_cnt -0.000 0.000 -1.194 0.232
## BAS ~
## pc1 2.062 1.306 1.579 0.114
## pc2 1.140 1.296 0.880 0.379
## pc3 -4.295 1.000 -4.295 0.000
## pc4 2.282 0.943 2.419 0.016
## pc5 -1.288 0.703 -1.831 0.067
## pc6 -0.143 0.761 -0.187 0.851
## pc7 -2.035 0.701 -2.902 0.004
## pc8 0.371 1.379 0.269 0.788
## pc9 -0.494 0.706 -0.700 0.484
## pc10 2.195 0.709 3.094 0.002
## BIS ~
## pc1 0.153 0.758 0.202 0.840
## pc2 -0.500 0.682 -0.734 0.463
## pc3 -1.183 0.531 -2.228 0.026
## pc4 0.918 0.553 1.659 0.097
## pc5 0.703 0.467 1.504 0.133
## pc6 -0.363 0.445 -0.816 0.415
## pc7 -0.609 0.292 -2.084 0.037
## pc8 1.177 0.469 2.507 0.012
## pc9 -0.050 0.304 -0.163 0.871
## pc10 0.164 0.378 0.435 0.664
## g ~
## pc1 2.500 1.325 1.886 0.059
## pc2 -6.415 1.271 -5.049 0.000
## pc3 4.209 0.845 4.979 0.000
## pc4 -2.045 0.798 -2.564 0.010
## pc5 1.689 0.795 2.125 0.034
## pc6 0.058 0.992 0.058 0.953
## pc7 1.720 0.628 2.738 0.006
## pc8 1.312 0.970 1.353 0.176
## pc9 -0.137 0.831 -0.165 0.869
## pc10 -1.639 0.928 -1.767 0.077
## Std.lv Std.all
##
## 0.014 0.014
##
## 0.075 0.075
##
## -0.091 -0.090
##
## 0.000 0.024
##
## 0.000 0.030
##
## -0.000 -0.025
##
## 2.048 0.028
## 1.132 0.016
## -4.266 -0.051
## 2.266 0.026
## -1.279 -0.015
## -0.142 -0.002
## -2.021 -0.030
## 0.369 0.004
## -0.491 -0.007
## 2.180 0.026
##
## 0.274 0.004
## -0.894 -0.012
## -2.113 -0.025
## 1.639 0.019
## 1.255 0.015
## -0.648 -0.008
## -1.088 -0.016
## 2.102 0.024
## -0.088 -0.001
## 0.293 0.003
##
## 2.472 0.034
## -6.342 -0.088
## 4.161 0.049
## -2.022 -0.023
## 1.670 0.020
## 0.057 0.001
## 1.701 0.026
## 1.297 0.015
## -0.136 -0.002
## -1.621 -0.019
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .BIS ~~
## .BAS 0.247 0.016 15.245 0.000
## .g -0.019 0.014 -1.403 0.161
## .BAS ~~
## .g -0.161 0.023 -7.073 0.000
## Std.lv Std.all
##
## 0.441 0.441
## -0.034 -0.034
##
## -0.161 -0.161
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .BAS 1.000
## .g 1.000
## .BISBAS2_Y 0.683 0.024 28.395 0.000
## .BISBAS3_Y 0.633 0.023 27.303 0.000
## .BISBAS4_Y 0.597 0.024 24.686 0.000
## .BISBAS6_Y 0.661 0.024 27.522 0.000
## .BISBAS8_Y 0.586 0.018 31.943 0.000
## .BISBAS10_Y 0.583 0.018 32.019 0.000
## .BISBAS11_Y 0.704 0.022 31.919 0.000
## .BISBAS12_Y 0.490 0.017 28.830 0.000
## .BISBAS13_Y 0.490 0.017 29.384 0.000
## .BISBAS14_Y 0.401 0.016 25.220 0.000
## .BISBAS15_Y 0.500 0.016 31.535 0.000
## .BISBAS16_Y 0.685 0.023 29.567 0.000
## .BISBAS17_Y 0.694 0.018 37.603 0.000
## .BISBAS18_Y 0.560 0.020 28.625 0.000
## .BISBAS19_Y 0.671 0.019 35.454 0.000
## .BISBAS20_Y 0.701 0.020 35.494 0.000
## .NIHTBX_FLANKER 0.643 0.023 28.423 0.000
## .NIHTBX_CARDSOR 0.468 0.024 19.343 0.000
## .NIHTBX_PATTERN 0.641 0.021 30.232 0.000
## .NIHTBX_PICVOCA 0.536 0.023 23.164 0.000
## .NIHTBX_READING 0.470 0.023 20.474 0.000
## .NIHTBX_PICTURE 0.701 0.020 35.151 0.000
## .PEA_RAVLT_LD_T 0.671 0.022 30.957 0.000
## .NIHTBX_LIST_UN 0.615 0.022 28.449 0.000
## .LMT_SCR_PERC_C 0.760 0.021 36.194 0.000
## .PEA_WISCV_TRS 0.675 0.023 29.431 0.000
## .BIS 0.313 0.025 12.652 0.000
## .RR 0.095 0.012 7.778 0.000
## .Drive 0.246 0.016 15.511 0.000
## .Fun 0.126 0.011 11.359 0.000
## .EF 0.224 0.016 14.233 0.000
## .verbal 0.189 0.016 11.707 0.000
## .memory 0.088 0.013 7.008 0.000
## .spatial 0.006 0.012 0.542 0.588
## Std.lv Std.all
## 0.986 0.986
## 0.978 0.978
## 0.683 0.685
## 0.633 0.635
## 0.597 0.600
## 0.661 0.668
## 0.586 0.591
## 0.583 0.586
## 0.704 0.704
## 0.490 0.493
## 0.490 0.488
## 0.401 0.400
## 0.500 0.501
## 0.685 0.688
## 0.694 0.690
## 0.560 0.563
## 0.671 0.679
## 0.701 0.698
## 0.643 0.650
## 0.468 0.466
## 0.641 0.644
## 0.536 0.533
## 0.470 0.468
## 0.701 0.701
## 0.671 0.673
## 0.615 0.615
## 0.760 0.765
## 0.675 0.673
## 0.997 0.997
## 0.235 0.235
## 0.480 0.480
## 0.402 0.402
## 0.646 0.646
## 0.401 0.401
## 0.294 0.294
## 0.028 0.028
##
## R-Square:
## Estimate
## BAS 0.014
## g 0.022
## BISBAS2_Y 0.315
## BISBAS3_Y 0.365
## BISBAS4_Y 0.400
## BISBAS6_Y 0.332
## BISBAS8_Y 0.409
## BISBAS10_Y 0.414
## BISBAS11_Y 0.296
## BISBAS12_Y 0.507
## BISBAS13_Y 0.512
## BISBAS14_Y 0.600
## BISBAS15_Y 0.499
## BISBAS16_Y 0.312
## BISBAS17_Y 0.310
## BISBAS18_Y 0.437
## BISBAS19_Y 0.321
## BISBAS20_Y 0.302
## NIHTBX_FLANKER 0.350
## NIHTBX_CARDSOR 0.534
## NIHTBX_PATTERN 0.356
## NIHTBX_PICVOCA 0.467
## NIHTBX_READING 0.532
## NIHTBX_PICTURE 0.299
## PEA_RAVLT_LD_T 0.327
## NIHTBX_LIST_UN 0.385
## LMT_SCR_PERC_C 0.235
## PEA_WISCV_TRS 0.327
## BIS 0.003
## RR 0.765
## Drive 0.520
## Fun 0.598
## EF 0.354
## verbal 0.599
## memory 0.706
## spatial 0.972ADHD_PRS_BIS_BAS_G.Fit.p5e_2 <- lavaan::standardizedSolution(ADHD_PRS_BIS_BAS_G.Fit) %>%
filter(op == "~") %>%
filter(str_detect(rhs, "score"))
ADHD_PRS_BIS_BAS_G.Fit.p5e_2 %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| BIS | ~ | ADHDp5e_2_score | 0.0141745 | 0.0196078 | 0.722898 | 0.4697425 | -0.0242562 | 0.0526051 |
| BAS | ~ | ADHDp5e_2_score | 0.0745314 | 0.0183426 | 4.063303 | 0.0000484 | 0.0385806 | 0.1104822 |
| g | ~ | ADHDp5e_2_score | -0.0904945 | 0.0184786 | -4.897260 | 0.0000010 | -0.1267118 | -0.0542771 |
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","BIS","g"), lhs))
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, BIS and 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 + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
# mediator models
g ~ aG*wrayMDDp5e_2_score
BIS ~ aBIS*wrayMDDp5e_2_score
g ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
BIS ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
# 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 422 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 214
##
## Used Total
## Number of observations 4129 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 23387.216 17020.226
## Degrees of freedom 4268 4268
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.374
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 202647.687 146785.522
## Degrees of freedom 4399 4399
## P-value 0.000 0.000
## Scaling correction factor 1.381
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.904 0.910
## Tucker-Lewis Index (TLI) 0.901 0.908
##
## Robust Comparative Fit Index (CFI) 0.911
## Robust Tucker-Lewis Index (TLI) 0.908
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -144247.651 -144247.651
## Scaling correction factor 5.491
## for the MLR correction
## Loglikelihood unrestricted model (H1) -132554.043 -132554.043
## Scaling correction factor 1.571
## for the MLR correction
##
## Akaike (AIC) 288923.301 288923.301
## Bayesian (BIC) 290277.020 290277.020
## Sample-size adjusted Bayesian (BIC) 289597.020 289597.020
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.033 0.027
## 90 Percent confidence interval - lower 0.033 0.027
## 90 Percent confidence interval - upper 0.033 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 0.039 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 0.510 0.026 19.790 0.000
## CBCL_Q109_P 0.587 0.024 24.317 0.000
## CBCL_Q15_P 0.065 0.012 5.228 0.000
## CBCL_Q16_P 0.337 0.023 14.888 0.000
## CBCL_Q19_P 0.687 0.026 26.883 0.000
## CBCL_Q26_P 0.457 0.026 17.847 0.000
## CBCL_Q27_P 0.631 0.025 24.952 0.000
## CBCL_Q34_P 0.235 0.022 10.504 0.000
## CBCL_Q37_P 0.184 0.021 8.656 0.000
## CBCL_Q39_P 0.202 0.020 10.002 0.000
## CBCL_Q43_P 0.616 0.025 24.852 0.000
## CBCL_Q67_P 0.043 0.013 3.399 0.001
## CBCL_Q68_P 0.495 0.025 19.915 0.000
## CBCL_Q72_P 0.018 0.006 3.042 0.002
## CBCL_Q74_P 0.558 0.027 20.477 0.000
## CBCL_Q86_P 0.863 0.022 38.661 0.000
## CBCL_Q87_P 0.660 0.026 25.291 0.000
## CBCL_Q88_P 0.488 0.026 18.522 0.000
## CBCL_Q89_P 0.177 0.021 8.304 0.000
## CBCL_Q90_P 0.267 0.025 10.605 0.000
## CBCL_Q94_P 0.334 0.024 13.729 0.000
## CBCL_Q95_P 0.827 0.023 35.924 0.000
## CBCL_Q96_P 0.044 0.014 3.037 0.002
## Com1_Attack 0.329 0.023 14.392 0.000
## Com2_Destroy 0.241 0.021 11.650 0.000
## Com3_Disobeys 0.682 0.021 32.936 0.000
## Com4_Steals 0.218 0.021 10.481 0.000
## Com5_Peer 0.438 0.023 19.068 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.374 0.027 13.666 0.000
## CBCL_Q29_P 0.538 0.027 19.937 0.000
## CBCL_Q30_P 0.206 0.022 9.237 0.000
## CBCL_Q31_P 0.362 0.025 14.393 0.000
## CBCL_Q32_P 0.672 0.030 22.088 0.000
## CBCL_Q35_P 0.524 0.027 19.175 0.000
## CBCL_Q45_P 0.746 0.025 29.709 0.000
## CBCL_Q50_P 0.882 0.022 39.523 0.000
## CBCL_Q52_P 0.354 0.024 14.544 0.000
## CBCL_Q71_P 0.844 0.029 28.854 0.000
## Att =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.499 0.072 20.718 0.000
## CBCL_Q09_P 1.326 0.068 19.540 0.000
## CBCL_Q13_P 0.459 0.040 11.371 0.000
## CBCL_Q17_P 1.173 0.066 17.909 0.000
## CBCL_Q36_P 0.666 0.046 14.401 0.000
## CBCL_Q46_P 0.678 0.050 13.572 0.000
## CBCL_Q61_P 0.793 0.046 17.320 0.000
## CBCL_Q62_P 0.739 0.045 16.373 0.000
## CBCL_Q64_P 0.725 0.043 16.673 0.000
## CBCL_Q66_P 0.531 0.046 11.466 0.000
## CBCL_Q80_P 0.613 0.044 13.815 0.000
## CBCL_Q85_P 0.464 0.037 12.567 0.000
## CBCL_Q93_P 1.046 0.059 17.662 0.000
## Com6_Distractd 1.748 0.078 22.453 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.795 0.323 8.644 0.000
## CBCL_Q56B_P 3.575 0.396 9.033 0.000
## CBCL_Q56C_P 4.165 0.485 8.581 0.000
## CBCL_Q56D_P 0.556 0.103 5.419 0.000
## CBCL_Q56E_P 1.465 0.216 6.797 0.000
## CBCL_Q56F_P 4.899 0.562 8.711 0.000
## CBCL_Q56G_P 1.157 0.171 6.754 0.000
## CBCL_Q56H_P 0.713 0.142 5.009 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.225 0.094 12.977 0.000
## CBCL_Q42_P 1.706 0.144 11.815 0.000
## CBCL_Q65_P 1.015 0.107 9.512 0.000
## CBCL_Q75_P 1.627 0.151 10.771 0.000
## p =~
## Ext 0.319 0.010 32.928 0.000
## Int 0.293 0.011 27.338 0.000
## Att 0.203 0.010 20.452 0.000
## Som 0.033 0.004 7.694 0.000
## Det 0.090 0.008 10.552 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.240 0.050 24.871 0.000
## NIHTBX_PATTERN 1.009 0.046 21.860 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.073 0.040 26.698 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.044 0.039 26.761 0.000
## NIHTBX_LIST_UN 1.128 0.055 20.530 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.174 0.054 21.940 0.000
## g =~
## EF 0.352 0.017 20.114 0.000
## verbal 0.517 0.018 28.566 0.000
## memory 0.460 0.016 28.614 0.000
## spatial 0.475 0.017 27.723 0.000
## BIS =~
## BISBAS2_Y 1.000
## BISBAS3_Y 1.106 0.081 13.684 0.000
## BISBAS4_Y 1.156 0.083 13.934 0.000
## BISBAS6_Y 1.022 0.036 28.671 0.000
## Std.lv Std.all
##
## 0.428 0.662
## 0.218 0.435
## 0.251 0.486
## 0.028 0.269
## 0.144 0.524
## 0.294 0.570
## 0.195 0.536
## 0.270 0.561
## 0.101 0.403
## 0.079 0.454
## 0.087 0.326
## 0.263 0.569
## 0.019 0.261
## 0.212 0.588
## 0.008 0.120
## 0.239 0.447
## 0.369 0.653
## 0.283 0.611
## 0.209 0.537
## 0.076 0.403
## 0.114 0.402
## 0.143 0.435
## 0.354 0.656
## 0.019 0.214
## 0.141 0.537
## 0.103 0.478
## 0.292 0.656
## 0.093 0.435
## 0.188 0.518
##
## 0.409 0.696
## 0.153 0.417
## 0.220 0.488
## 0.084 0.380
## 0.148 0.473
## 0.275 0.482
## 0.214 0.553
## 0.305 0.645
## 0.361 0.715
## 0.145 0.490
## 0.345 0.560
##
## 0.247 0.525
## 0.370 0.617
## 0.327 0.591
## 0.113 0.461
## 0.290 0.535
## 0.164 0.384
## 0.167 0.453
## 0.196 0.529
## 0.183 0.481
## 0.179 0.435
## 0.131 0.451
## 0.151 0.513
## 0.114 0.443
## 0.258 0.464
## 0.431 0.708
##
## 0.066 0.312
## 0.185 0.435
## 0.237 0.472
## 0.276 0.717
## 0.037 0.180
## 0.097 0.239
## 0.325 0.678
## 0.077 0.362
## 0.047 0.256
##
## 0.135 0.487
## 0.165 0.639
## 0.230 0.549
## 0.137 0.471
## 0.219 0.478
##
## 0.772 0.772
## 0.741 0.741
## 0.852 0.852
## 0.519 0.519
## 0.688 0.688
##
## 0.590 0.593
## 0.731 0.730
## 0.595 0.596
##
## 0.684 0.682
## 0.734 0.732
##
## 0.548 0.548
## 0.572 0.573
## 0.618 0.618
##
## 0.486 0.487
## 0.570 0.569
##
## 0.602 0.602
## 0.761 0.761
## 0.847 0.847
## 0.987 0.987
##
## 0.552 0.553
## 0.611 0.612
## 0.638 0.640
## 0.564 0.567
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## p ~
## g (bG) -0.211 0.025 -8.493 0.000
## BIS (bBIS) 0.194 0.046 4.184 0.000
## wMDD5_2 (c) 0.087 0.017 5.171 0.000
## wMDD5_2 0.000 0.000 0.053 0.958
## pc1 -1.124 1.263 -0.890 0.373
## pc2 0.376 1.188 0.316 0.752
## pc3 1.122 0.814 1.379 0.168
## pc4 1.215 0.865 1.404 0.160
## pc5 -2.199 1.053 -2.088 0.037
## pc6 -0.720 1.261 -0.571 0.568
## pc7 -1.249 0.532 -2.348 0.019
## pc8 1.850 0.814 2.271 0.023
## pc9 0.029 0.528 0.055 0.956
## pc10 -0.142 0.799 -0.178 0.859
## g ~
## wMDD5_2 (aG) -0.046 0.019 -2.401 0.016
## BIS ~
## wMDD5_2 (aBIS) 0.023 0.010 2.192 0.028
## g ~
## wMDD5_2 -0.000 0.000 -1.066 0.286
## pc1 2.493 1.333 1.870 0.062
## pc2 -6.474 1.281 -5.053 0.000
## pc3 4.367 0.848 5.147 0.000
## pc4 -1.933 0.809 -2.390 0.017
## pc5 1.836 0.821 2.237 0.025
## pc6 0.148 1.039 0.143 0.887
## pc7 1.728 0.627 2.754 0.006
## pc8 1.396 0.995 1.404 0.160
## pc9 -0.225 0.837 -0.268 0.788
## pc10 -1.857 0.960 -1.934 0.053
## BIS ~
## wMDD5_2 0.000 0.000 0.584 0.559
## pc1 -0.139 0.759 -0.183 0.855
## pc2 -0.596 0.680 -0.878 0.380
## pc3 -1.185 0.533 -2.226 0.026
## pc4 0.850 0.554 1.535 0.125
## pc5 0.669 0.468 1.430 0.153
## pc6 -0.287 0.440 -0.653 0.514
## pc7 -0.569 0.285 -1.992 0.046
## pc8 1.164 0.463 2.516 0.012
## pc9 -0.058 0.299 -0.194 0.846
## pc10 0.133 0.367 0.362 0.718
## Std.lv Std.all
##
## -0.206 -0.206
## 0.103 0.103
## 0.084 0.084
## 0.000 0.001
## -1.086 -0.015
## 0.363 0.005
## 1.084 0.013
## 1.174 0.013
## -2.125 -0.025
## -0.696 -0.009
## -1.207 -0.018
## 1.788 0.021
## 0.028 0.000
## -0.137 -0.002
##
## -0.046 -0.046
##
## 0.041 0.041
##
## -0.000 -0.022
## 2.473 0.034
## -6.421 -0.089
## 4.332 0.052
## -1.917 -0.022
## 1.821 0.022
## 0.147 0.002
## 1.714 0.026
## 1.385 0.016
## -0.223 -0.003
## -1.842 -0.022
##
## 0.000 0.012
## -0.251 -0.003
## -1.080 -0.015
## -2.147 -0.026
## 1.540 0.017
## 1.212 0.015
## -0.520 -0.006
## -1.030 -0.016
## 2.109 0.024
## -0.105 -0.002
## 0.241 0.003
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .g ~~
## .BIS -0.018 0.013 -1.368 0.171
## Std.lv Std.all
##
## -0.033 -0.033
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .p 1.000
## .g 1.000
## .CBCL_Q03_P 0.235 0.007 35.086 0.000
## .CBCL_Q07_P 0.204 0.005 37.961 0.000
## .CBCL_Q109_P 0.204 0.005 37.842 0.000
## .CBCL_Q15_P 0.010 0.002 5.653 0.000
## .CBCL_Q16_P 0.055 0.003 19.969 0.000
## .CBCL_Q19_P 0.180 0.006 28.392 0.000
## .CBCL_Q26_P 0.095 0.005 20.562 0.000
## .CBCL_Q27_P 0.159 0.006 28.803 0.000
## .CBCL_Q34_P 0.052 0.003 15.093 0.000
## .CBCL_Q37_P 0.024 0.002 11.839 0.000
## .CBCL_Q39_P 0.063 0.004 16.580 0.000
## .CBCL_Q43_P 0.145 0.005 31.645 0.000
## .CBCL_Q67_P 0.005 0.001 3.932 0.000
## .CBCL_Q68_P 0.085 0.004 21.201 0.000
## .CBCL_Q72_P 0.004 0.001 3.315 0.001
## .CBCL_Q74_P 0.229 0.006 35.822 0.000
## .CBCL_Q86_P 0.183 0.005 34.390 0.000
## .CBCL_Q87_P 0.134 0.005 28.708 0.000
## .CBCL_Q88_P 0.108 0.004 24.586 0.000
## .CBCL_Q89_P 0.030 0.003 10.049 0.000
## .CBCL_Q90_P 0.068 0.004 15.435 0.000
## .CBCL_Q94_P 0.088 0.004 21.431 0.000
## .CBCL_Q95_P 0.166 0.005 31.953 0.000
## .CBCL_Q96_P 0.007 0.002 4.623 0.000
## .Com1_Attack 0.049 0.002 19.739 0.000
## .Com2_Destroy 0.036 0.002 16.061 0.000
## .Com3_Disobeys 0.113 0.004 30.623 0.000
## .Com4_Steals 0.037 0.003 14.887 0.000
## .Com5_Peer 0.096 0.004 23.662 0.000
## .CBCL_Q112_P 0.178 0.006 32.359 0.000
## .CBCL_Q12_P 0.111 0.005 21.343 0.000
## .CBCL_Q29_P 0.155 0.005 28.218 0.000
## .CBCL_Q30_P 0.042 0.003 12.510 0.000
## .CBCL_Q31_P 0.076 0.004 20.274 0.000
## .CBCL_Q32_P 0.251 0.007 35.405 0.000
## .CBCL_Q35_P 0.105 0.004 25.668 0.000
## .CBCL_Q45_P 0.131 0.005 27.827 0.000
## .CBCL_Q50_P 0.125 0.005 26.679 0.000
## .CBCL_Q52_P 0.066 0.003 19.124 0.000
## .CBCL_Q71_P 0.262 0.006 40.800 0.000
## .CBCL_Q01_P 0.160 0.006 29.058 0.000
## .CBCL_Q04_P 0.223 0.006 34.424 0.000
## .CBCL_Q09_P 0.200 0.006 31.932 0.000
## .CBCL_Q13_P 0.047 0.003 13.871 0.000
## .CBCL_Q17_P 0.209 0.006 32.608 0.000
## .CBCL_Q36_P 0.156 0.006 24.796 0.000
## .CBCL_Q46_P 0.109 0.006 19.605 0.000
## .CBCL_Q61_P 0.099 0.005 21.449 0.000
## .CBCL_Q62_P 0.111 0.005 21.147 0.000
## .CBCL_Q64_P 0.137 0.005 25.993 0.000
## .CBCL_Q66_P 0.067 0.004 15.048 0.000
## .CBCL_Q80_P 0.064 0.003 18.725 0.000
## .CBCL_Q85_P 0.053 0.003 16.398 0.000
## .CBCL_Q93_P 0.243 0.007 33.301 0.000
## .Com6_Distractd 0.185 0.006 29.314 0.000
## .CBCL_Q51_P 0.041 0.003 12.534 0.000
## .CBCL_Q56A_P 0.147 0.005 26.972 0.000
## .CBCL_Q56B_P 0.196 0.006 31.489 0.000
## .CBCL_Q56C_P 0.072 0.004 19.238 0.000
## .CBCL_Q56D_P 0.041 0.004 9.259 0.000
## .CBCL_Q56E_P 0.156 0.007 22.905 0.000
## .CBCL_Q56F_P 0.124 0.006 20.373 0.000
## .CBCL_Q56G_P 0.039 0.003 14.290 0.000
## .CBCL_Q56H_P 0.032 0.004 8.814 0.000
## .CBCL_Q102_P 0.058 0.004 14.932 0.000
## .CBCL_Q111_P 0.039 0.002 16.637 0.000
## .CBCL_Q42_P 0.122 0.005 24.358 0.000
## .CBCL_Q65_P 0.065 0.004 15.980 0.000
## .CBCL_Q75_P 0.162 0.006 25.763 0.000
## .NIHTBX_FLANKER 0.642 0.023 28.488 0.000
## .NIHTBX_CARDSOR 0.470 0.024 19.418 0.000
## .NIHTBX_PATTERN 0.641 0.021 30.280 0.000
## .NIHTBX_PICVOCA 0.539 0.023 23.134 0.000
## .NIHTBX_READING 0.467 0.023 20.199 0.000
## .NIHTBX_PICTURE 0.700 0.020 35.233 0.000
## .PEA_RAVLT_LD_T 0.668 0.022 31.080 0.000
## .NIHTBX_LIST_UN 0.618 0.021 28.749 0.000
## .LMT_SCR_PERC_C 0.758 0.021 36.116 0.000
## .PEA_WISCV_TRS 0.678 0.023 29.553 0.000
## .BISBAS2_Y 0.692 0.027 25.427 0.000
## .BISBAS3_Y 0.624 0.026 24.315 0.000
## .BISBAS4_Y 0.587 0.027 21.511 0.000
## .BISBAS6_Y 0.671 0.027 25.233 0.000
## .Ext 0.074 0.005 14.980 0.000
## .Int 0.076 0.007 11.504 0.000
## .Att 0.017 0.002 8.564 0.000
## .Som 0.003 0.001 4.564 0.000
## .Det 0.010 0.002 6.309 0.000
## .EF 0.222 0.016 14.271 0.000
## .verbal 0.197 0.016 12.026 0.000
## .memory 0.085 0.012 6.819 0.000
## .spatial 0.006 0.012 0.516 0.606
## .BIS 0.303 0.028 10.964 0.000
## Std.lv Std.all
## 0.934 0.934
## 0.984 0.984
## 0.235 0.562
## 0.204 0.810
## 0.204 0.763
## 0.010 0.928
## 0.055 0.726
## 0.180 0.675
## 0.095 0.712
## 0.159 0.685
## 0.052 0.837
## 0.024 0.794
## 0.063 0.894
## 0.145 0.677
## 0.005 0.932
## 0.085 0.654
## 0.004 0.986
## 0.229 0.801
## 0.183 0.574
## 0.134 0.626
## 0.108 0.711
## 0.030 0.838
## 0.068 0.839
## 0.088 0.811
## 0.166 0.570
## 0.007 0.954
## 0.049 0.711
## 0.036 0.771
## 0.113 0.569
## 0.037 0.811
## 0.096 0.732
## 0.178 0.515
## 0.111 0.826
## 0.155 0.762
## 0.042 0.856
## 0.076 0.776
## 0.251 0.768
## 0.105 0.695
## 0.131 0.584
## 0.125 0.489
## 0.066 0.760
## 0.262 0.687
## 0.160 0.724
## 0.223 0.620
## 0.200 0.651
## 0.047 0.787
## 0.209 0.714
## 0.156 0.852
## 0.109 0.795
## 0.099 0.720
## 0.111 0.769
## 0.137 0.811
## 0.067 0.797
## 0.064 0.737
## 0.053 0.803
## 0.243 0.785
## 0.185 0.498
## 0.041 0.903
## 0.147 0.811
## 0.196 0.777
## 0.072 0.486
## 0.041 0.968
## 0.156 0.943
## 0.124 0.541
## 0.039 0.869
## 0.032 0.934
## 0.058 0.763
## 0.039 0.592
## 0.122 0.699
## 0.065 0.778
## 0.162 0.771
## 0.642 0.649
## 0.470 0.468
## 0.641 0.644
## 0.539 0.535
## 0.467 0.465
## 0.700 0.700
## 0.668 0.671
## 0.618 0.618
## 0.758 0.763
## 0.678 0.676
## 0.692 0.694
## 0.624 0.626
## 0.587 0.590
## 0.671 0.678
## 0.403 0.403
## 0.451 0.451
## 0.275 0.275
## 0.730 0.730
## 0.526 0.526
## 0.638 0.638
## 0.420 0.420
## 0.283 0.283
## 0.027 0.027
## 0.996 0.996
##
## R-Square:
## Estimate
## p 0.066
## g 0.016
## CBCL_Q03_P 0.438
## CBCL_Q07_P 0.190
## CBCL_Q109_P 0.237
## CBCL_Q15_P 0.072
## CBCL_Q16_P 0.274
## CBCL_Q19_P 0.325
## CBCL_Q26_P 0.288
## CBCL_Q27_P 0.315
## CBCL_Q34_P 0.163
## CBCL_Q37_P 0.206
## CBCL_Q39_P 0.106
## CBCL_Q43_P 0.323
## CBCL_Q67_P 0.068
## CBCL_Q68_P 0.346
## CBCL_Q72_P 0.014
## CBCL_Q74_P 0.199
## CBCL_Q86_P 0.426
## CBCL_Q87_P 0.374
## CBCL_Q88_P 0.289
## CBCL_Q89_P 0.162
## CBCL_Q90_P 0.161
## CBCL_Q94_P 0.189
## CBCL_Q95_P 0.430
## CBCL_Q96_P 0.046
## Com1_Attack 0.289
## Com2_Destroy 0.229
## Com3_Disobeys 0.431
## Com4_Steals 0.189
## Com5_Peer 0.268
## CBCL_Q112_P 0.485
## CBCL_Q12_P 0.174
## CBCL_Q29_P 0.238
## CBCL_Q30_P 0.144
## CBCL_Q31_P 0.224
## CBCL_Q32_P 0.232
## CBCL_Q35_P 0.305
## CBCL_Q45_P 0.416
## CBCL_Q50_P 0.511
## CBCL_Q52_P 0.240
## CBCL_Q71_P 0.313
## CBCL_Q01_P 0.276
## CBCL_Q04_P 0.380
## CBCL_Q09_P 0.349
## CBCL_Q13_P 0.213
## CBCL_Q17_P 0.286
## CBCL_Q36_P 0.148
## CBCL_Q46_P 0.205
## CBCL_Q61_P 0.280
## CBCL_Q62_P 0.231
## CBCL_Q64_P 0.189
## CBCL_Q66_P 0.203
## CBCL_Q80_P 0.263
## CBCL_Q85_P 0.197
## CBCL_Q93_P 0.215
## Com6_Distractd 0.502
## CBCL_Q51_P 0.097
## CBCL_Q56A_P 0.189
## CBCL_Q56B_P 0.223
## CBCL_Q56C_P 0.514
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.057
## CBCL_Q56F_P 0.459
## CBCL_Q56G_P 0.131
## CBCL_Q56H_P 0.066
## CBCL_Q102_P 0.237
## CBCL_Q111_P 0.408
## CBCL_Q42_P 0.301
## CBCL_Q65_P 0.222
## CBCL_Q75_P 0.229
## NIHTBX_FLANKER 0.351
## NIHTBX_CARDSOR 0.532
## NIHTBX_PATTERN 0.356
## NIHTBX_PICVOCA 0.465
## NIHTBX_READING 0.535
## NIHTBX_PICTURE 0.300
## PEA_RAVLT_LD_T 0.329
## NIHTBX_LIST_UN 0.382
## LMT_SCR_PERC_C 0.237
## PEA_WISCV_TRS 0.324
## BISBAS2_Y 0.306
## BISBAS3_Y 0.374
## BISBAS4_Y 0.410
## BISBAS6_Y 0.322
## Ext 0.597
## Int 0.549
## Att 0.725
## Som 0.270
## Det 0.474
## EF 0.362
## verbal 0.580
## memory 0.717
## spatial 0.973
## BIS 0.004
##
## Defined Parameters:
## Estimate Std.Err z-value P(>|z|)
## indirectCogG 0.010 0.004 2.311 0.021
## indirectBIS 0.004 0.002 1.980 0.048
## sumIndirect 0.014 0.005 2.959 0.003
## direct 0.087 0.017 5.171 0.000
## total 0.101 0.017 6.003 0.000
## propCogG 0.096 0.043 2.245 0.025
## propBIS 0.043 0.022 1.935 0.053
## propSumIndirct 0.140 0.049 2.822 0.005
## Std.lv Std.all
## 0.009 0.009
## 0.004 0.004
## 0.014 0.014
## 0.084 0.084
## 0.098 0.098
## 0.096 0.096
## 0.043 0.043
## 0.140 0.140MDDBISGMediation.Fit.p5e_2 <- lavaan::standardizedSolution(MDDBISGMediation.Fit) %>%
filter(op %in% c("~",":=")) %>%
filter(!str_detect(rhs, "pc")) %>%
filter(!str_detect(rhs, "cnt"))
MDDBISGMediation.Fit.p5e_2 %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| p | ~ | g | -0.2056540 | 0.0232625 | -8.840577 | 0.0000000 | -0.2512477 | -0.1600603 |
| p | ~ | BIS | 0.1033562 | 0.0233817 | 4.420380 | 0.0000099 | 0.0575288 | 0.1491836 |
| p | ~ | wrayMDDp5e_2_score | 0.0843779 | 0.0162149 | 5.203711 | 0.0000002 | 0.0525972 | 0.1161586 |
| g | ~ | wrayMDDp5e_2_score | -0.0458851 | 0.0190776 | -2.405185 | 0.0161643 | -0.0832765 | -0.0084937 |
| BIS | ~ | wrayMDDp5e_2_score | 0.0411364 | 0.0185557 | 2.216916 | 0.0266288 | 0.0047679 | 0.0775050 |
| indirectCogG | := | aG*bG | 0.0094365 | 0.0040705 | 2.318248 | 0.0204359 | 0.0014584 | 0.0174145 |
| indirectBIS | := | aBIS*bBIS | 0.0042517 | 0.0021432 | 1.983796 | 0.0472785 | 0.0000511 | 0.0084523 |
| sumIndirect | := | (aGbG)+(aBISbBIS) | 0.0136882 | 0.0046034 | 2.973479 | 0.0029444 | 0.0046656 | 0.0227107 |
| direct | := | c | 0.0843779 | 0.0162149 | 5.203711 | 0.0000002 | 0.0525972 | 0.1161586 |
| total | := | c+(aGbG)+(aBISbBIS) | 0.0980661 | 0.0161698 | 6.064776 | 0.0000000 | 0.0663739 | 0.1297583 |
| propCogG | := | indirectCogG/total | 0.0962255 | 0.0428593 | 2.245150 | 0.0247585 | 0.0122229 | 0.1802281 |
| propBIS | := | indirectBIS/total | 0.0433555 | 0.0224020 | 1.935340 | 0.0529486 | -0.0005516 | 0.0872627 |
| propSumIndirect | := | sumIndirect/total | 0.1395810 | 0.0494662 | 2.821748 | 0.0047763 | 0.0426291 | 0.2365329 |
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$est.std,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 + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
# mediator models
g ~ aG*ADHDp5e_2_score
BASg ~ aBASg*ADHDp5e_2_score
g ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
BASg ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
# 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 384 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 233
##
## Used Total
## Number of observations 4129 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 24960.157 18978.528
## Degrees of freedom 5045 5045
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.315
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 196935.501 148956.603
## Degrees of freedom 5187 5187
## P-value 0.000 0.000
## Scaling correction factor 1.322
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.896 0.903
## Tucker-Lewis Index (TLI) 0.893 0.900
##
## Robust Comparative Fit Index (CFI) 0.904
## Robust Tucker-Lewis Index (TLI) 0.901
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -186073.304 -186073.304
## Scaling correction factor 5.139
## for the MLR correction
## Loglikelihood unrestricted model (H1) -173593.225 -173593.225
## Scaling correction factor 1.484
## for the MLR correction
##
## Akaike (AIC) 372612.607 372612.607
## Bayesian (BIC) 374086.516 374086.516
## Sample-size adjusted Bayesian (BIC) 373346.143 373346.143
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.031 0.026
## 90 Percent confidence interval - lower 0.031 0.026
## 90 Percent confidence interval - upper 0.031 0.026
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.030
## 90 Percent confidence interval - lower 0.029
## 90 Percent confidence interval - upper 0.030
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.038 0.038
##
## 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 0.026 19.814 0.000
## CBCL_Q109_P 0.587 0.024 24.320 0.000
## CBCL_Q15_P 0.065 0.012 5.228 0.000
## CBCL_Q16_P 0.337 0.023 14.888 0.000
## CBCL_Q19_P 0.687 0.026 26.903 0.000
## CBCL_Q26_P 0.457 0.026 17.861 0.000
## CBCL_Q27_P 0.631 0.025 24.941 0.000
## CBCL_Q34_P 0.235 0.022 10.503 0.000
## CBCL_Q37_P 0.184 0.021 8.658 0.000
## CBCL_Q39_P 0.202 0.020 10.010 0.000
## CBCL_Q43_P 0.616 0.025 24.868 0.000
## CBCL_Q67_P 0.043 0.013 3.400 0.001
## CBCL_Q68_P 0.494 0.025 19.911 0.000
## CBCL_Q72_P 0.018 0.006 3.045 0.002
## CBCL_Q74_P 0.559 0.027 20.504 0.000
## CBCL_Q86_P 0.862 0.022 38.636 0.000
## CBCL_Q87_P 0.660 0.026 25.279 0.000
## CBCL_Q88_P 0.488 0.026 18.506 0.000
## CBCL_Q89_P 0.177 0.021 8.300 0.000
## CBCL_Q90_P 0.267 0.025 10.609 0.000
## CBCL_Q94_P 0.334 0.024 13.741 0.000
## CBCL_Q95_P 0.827 0.023 35.911 0.000
## CBCL_Q96_P 0.044 0.014 3.040 0.002
## Com1_Attack 0.329 0.023 14.387 0.000
## Com2_Destroy 0.241 0.021 11.652 0.000
## Com3_Disobeys 0.682 0.021 32.968 0.000
## Com4_Steals 0.218 0.021 10.485 0.000
## Com5_Peer 0.438 0.023 19.079 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.373 0.027 13.644 0.000
## CBCL_Q29_P 0.538 0.027 19.919 0.000
## CBCL_Q30_P 0.205 0.022 9.233 0.000
## CBCL_Q31_P 0.362 0.025 14.388 0.000
## CBCL_Q32_P 0.673 0.030 22.082 0.000
## CBCL_Q35_P 0.523 0.027 19.143 0.000
## CBCL_Q45_P 0.746 0.025 29.679 0.000
## CBCL_Q50_P 0.882 0.022 39.464 0.000
## CBCL_Q52_P 0.354 0.024 14.544 0.000
## CBCL_Q71_P 0.842 0.029 28.830 0.000
## Att =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.500 0.072 20.749 0.000
## CBCL_Q09_P 1.327 0.068 19.558 0.000
## CBCL_Q13_P 0.458 0.040 11.341 0.000
## CBCL_Q17_P 1.170 0.065 17.904 0.000
## CBCL_Q36_P 0.666 0.046 14.422 0.000
## CBCL_Q46_P 0.678 0.050 13.571 0.000
## CBCL_Q61_P 0.793 0.046 17.335 0.000
## CBCL_Q62_P 0.738 0.045 16.370 0.000
## CBCL_Q64_P 0.724 0.043 16.678 0.000
## CBCL_Q66_P 0.531 0.046 11.462 0.000
## CBCL_Q80_P 0.612 0.044 13.789 0.000
## CBCL_Q85_P 0.463 0.037 12.556 0.000
## CBCL_Q93_P 1.049 0.059 17.684 0.000
## Com6_Distractd 1.749 0.078 22.494 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.800 0.324 8.635 0.000
## CBCL_Q56B_P 3.580 0.397 9.025 0.000
## CBCL_Q56C_P 4.176 0.487 8.573 0.000
## CBCL_Q56D_P 0.557 0.103 5.416 0.000
## CBCL_Q56E_P 1.467 0.216 6.792 0.000
## CBCL_Q56F_P 4.908 0.564 8.700 0.000
## CBCL_Q56G_P 1.160 0.172 6.754 0.000
## CBCL_Q56H_P 0.715 0.143 5.007 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.227 0.095 12.939 0.000
## CBCL_Q42_P 1.707 0.145 11.778 0.000
## CBCL_Q65_P 1.013 0.107 9.493 0.000
## CBCL_Q75_P 1.620 0.151 10.760 0.000
## p =~
## Ext 0.322 0.010 33.776 0.000
## Int 0.290 0.011 26.540 0.000
## Att 0.205 0.010 20.720 0.000
## Som 0.033 0.004 7.643 0.000
## Det 0.089 0.009 10.371 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.244 0.050 24.872 0.000
## NIHTBX_PATTERN 1.010 0.046 21.873 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.069 0.040 26.892 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.044 0.039 26.787 0.000
## NIHTBX_LIST_UN 1.130 0.055 20.583 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.175 0.054 21.876 0.000
## g =~
## EF 0.349 0.017 20.081 0.000
## verbal 0.519 0.018 28.823 0.000
## memory 0.458 0.016 28.570 0.000
## spatial 0.472 0.017 27.805 0.000
## RR =~
## BISBAS8_Y 1.000
## BISBAS10_Y 0.999 0.029 34.024 0.000
## BISBAS11_Y 0.854 0.033 25.655 0.000
## BISBAS12_Y 1.126 0.033 34.346 0.000
## Drive =~
## BISBAS13_Y 1.000
## BISBAS14_Y 1.081 0.024 45.559 0.000
## BISBAS15_Y 0.989 0.027 36.224 0.000
## BISBAS16_Y 0.781 0.031 25.486 0.000
## Fun =~
## BISBAS17_Y 1.000
## BISBAS18_Y 1.154 0.048 23.946 0.000
## BISBAS19_Y 0.991 0.046 21.630 0.000
## BISBAS20_Y 0.983 0.038 25.746 0.000
## BASg =~
## RR 0.528 0.016 32.611 0.000
## Drive 0.535 0.016 32.735 0.000
## Fun 0.442 0.018 23.873 0.000
## Std.lv Std.all
##
## 0.428 0.662
## 0.219 0.436
## 0.251 0.486
## 0.028 0.269
## 0.144 0.524
## 0.294 0.570
## 0.196 0.536
## 0.270 0.561
## 0.101 0.403
## 0.079 0.454
## 0.087 0.326
## 0.264 0.569
## 0.019 0.261
## 0.212 0.588
## 0.008 0.120
## 0.239 0.447
## 0.369 0.653
## 0.282 0.611
## 0.209 0.537
## 0.076 0.403
## 0.114 0.402
## 0.143 0.435
## 0.354 0.656
## 0.019 0.214
## 0.141 0.537
## 0.103 0.478
## 0.292 0.657
## 0.093 0.435
## 0.188 0.518
##
## 0.409 0.696
## 0.153 0.416
## 0.220 0.488
## 0.084 0.379
## 0.148 0.473
## 0.275 0.482
## 0.214 0.552
## 0.305 0.645
## 0.361 0.715
## 0.145 0.490
## 0.345 0.559
##
## 0.247 0.525
## 0.370 0.617
## 0.328 0.591
## 0.113 0.460
## 0.289 0.534
## 0.165 0.384
## 0.167 0.452
## 0.196 0.529
## 0.182 0.480
## 0.179 0.435
## 0.131 0.451
## 0.151 0.512
## 0.114 0.444
## 0.259 0.465
## 0.432 0.709
##
## 0.066 0.311
## 0.185 0.435
## 0.237 0.472
## 0.276 0.717
## 0.037 0.179
## 0.097 0.238
## 0.325 0.678
## 0.077 0.363
## 0.047 0.256
##
## 0.135 0.488
## 0.165 0.640
## 0.230 0.549
## 0.136 0.470
## 0.218 0.477
##
## 0.778 0.778
## 0.732 0.732
## 0.858 0.858
## 0.515 0.515
## 0.680 0.680
##
## 0.589 0.592
## 0.732 0.731
## 0.595 0.596
##
## 0.685 0.683
## 0.733 0.731
##
## 0.548 0.548
## 0.572 0.573
## 0.619 0.619
##
## 0.485 0.487
## 0.571 0.570
##
## 0.600 0.600
## 0.766 0.766
## 0.846 0.846
## 0.984 0.984
##
## 0.636 0.639
## 0.635 0.637
## 0.543 0.544
## 0.716 0.718
##
## 0.716 0.715
## 0.774 0.773
## 0.708 0.708
## 0.559 0.561
##
## 0.565 0.564
## 0.652 0.654
## 0.560 0.564
## 0.556 0.554
##
## 0.836 0.836
## 0.752 0.752
## 0.787 0.787
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## p ~
## g (bG) -0.195 0.025 -7.787 0.000
## BASg (bBAS) 0.103 0.023 4.394 0.000
## ADHD5_2 (c) 0.076 0.018 4.317 0.000
## ADHD5_2 0.000 0.000 0.436 0.663
## pc1 -0.845 1.256 -0.672 0.501
## pc2 0.309 1.181 0.262 0.793
## pc3 1.475 0.805 1.831 0.067
## pc4 1.375 0.846 1.627 0.104
## pc5 -1.854 0.996 -1.861 0.063
## pc6 -0.822 1.173 -0.701 0.483
## pc7 -1.179 0.533 -2.212 0.027
## pc8 2.156 0.878 2.457 0.014
## pc9 0.069 0.525 0.132 0.895
## pc10 -0.507 0.833 -0.609 0.543
## g ~
## ADHD5_2 (aG) -0.092 0.019 -4.855 0.000
## BASg ~
## ADHD5_2 (aBAS) 0.077 0.019 4.113 0.000
## g ~
## ADHD5_2 -0.000 0.000 -1.185 0.236
## pc1 2.484 1.325 1.875 0.061
## pc2 -6.380 1.272 -5.016 0.000
## pc3 4.146 0.852 4.869 0.000
## pc4 -2.084 0.802 -2.600 0.009
## pc5 1.677 0.800 2.097 0.036
## pc6 0.040 0.999 0.040 0.968
## pc7 1.714 0.628 2.730 0.006
## pc8 1.313 0.964 1.362 0.173
## pc9 -0.134 0.827 -0.162 0.871
## pc10 -1.617 0.924 -1.749 0.080
## BASg ~
## ADHD5_2 0.000 0.000 1.475 0.140
## pc1 2.197 1.308 1.680 0.093
## pc2 1.147 1.285 0.892 0.372
## pc3 -4.209 0.995 -4.230 0.000
## pc4 2.076 0.941 2.205 0.027
## pc5 -1.290 0.711 -1.816 0.069
## pc6 -0.093 0.764 -0.122 0.903
## pc7 -2.146 0.699 -3.070 0.002
## pc8 0.344 1.371 0.251 0.802
## pc9 -0.593 0.678 -0.875 0.382
## pc10 2.224 0.714 3.114 0.002
## Std.lv Std.all
##
## -0.191 -0.191
## 0.100 0.100
## 0.074 0.074
## 0.000 0.008
## -0.817 -0.011
## 0.299 0.004
## 1.426 0.017
## 1.330 0.015
## -1.793 -0.022
## -0.795 -0.010
## -1.140 -0.017
## 2.085 0.024
## 0.067 0.001
## -0.490 -0.006
##
## -0.091 -0.090
##
## 0.076 0.076
##
## -0.000 -0.025
## 2.457 0.033
## -6.308 -0.087
## 4.100 0.049
## -2.061 -0.023
## 1.658 0.020
## 0.039 0.000
## 1.694 0.026
## 1.298 0.015
## -0.132 -0.002
## -1.599 -0.019
##
## 0.000 0.029
## 2.182 0.030
## 1.139 0.016
## -4.180 -0.050
## 2.062 0.023
## -1.281 -0.015
## -0.093 -0.001
## -2.131 -0.032
## 0.342 0.004
## -0.589 -0.009
## 2.208 0.026
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .g ~~
## .BASg -0.165 0.023 -7.229 0.000
## Std.lv Std.all
##
## -0.165 -0.165
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .p 1.000
## .g 1.000
## .BASg 1.000
## .CBCL_Q03_P 0.235 0.007 35.099 0.000
## .CBCL_Q07_P 0.204 0.005 37.961 0.000
## .CBCL_Q109_P 0.204 0.005 37.855 0.000
## .CBCL_Q15_P 0.010 0.002 5.653 0.000
## .CBCL_Q16_P 0.055 0.003 19.969 0.000
## .CBCL_Q19_P 0.180 0.006 28.398 0.000
## .CBCL_Q26_P 0.095 0.005 20.565 0.000
## .CBCL_Q27_P 0.159 0.006 28.814 0.000
## .CBCL_Q34_P 0.052 0.003 15.096 0.000
## .CBCL_Q37_P 0.024 0.002 11.836 0.000
## .CBCL_Q39_P 0.063 0.004 16.580 0.000
## .CBCL_Q43_P 0.145 0.005 31.654 0.000
## .CBCL_Q67_P 0.005 0.001 3.932 0.000
## .CBCL_Q68_P 0.085 0.004 21.197 0.000
## .CBCL_Q72_P 0.004 0.001 3.315 0.001
## .CBCL_Q74_P 0.229 0.006 35.799 0.000
## .CBCL_Q86_P 0.184 0.005 34.428 0.000
## .CBCL_Q87_P 0.134 0.005 28.717 0.000
## .CBCL_Q88_P 0.108 0.004 24.589 0.000
## .CBCL_Q89_P 0.030 0.003 10.048 0.000
## .CBCL_Q90_P 0.068 0.004 15.437 0.000
## .CBCL_Q94_P 0.088 0.004 21.434 0.000
## .CBCL_Q95_P 0.166 0.005 31.972 0.000
## .CBCL_Q96_P 0.007 0.002 4.623 0.000
## .Com1_Attack 0.049 0.002 19.738 0.000
## .Com2_Destroy 0.036 0.002 16.062 0.000
## .Com3_Disobeys 0.112 0.004 30.635 0.000
## .Com4_Steals 0.037 0.003 14.889 0.000
## .Com5_Peer 0.096 0.004 23.673 0.000
## .CBCL_Q112_P 0.178 0.006 32.314 0.000
## .CBCL_Q12_P 0.111 0.005 21.344 0.000
## .CBCL_Q29_P 0.155 0.006 28.211 0.000
## .CBCL_Q30_P 0.042 0.003 12.508 0.000
## .CBCL_Q31_P 0.076 0.004 20.273 0.000
## .CBCL_Q32_P 0.251 0.007 35.379 0.000
## .CBCL_Q35_P 0.105 0.004 25.655 0.000
## .CBCL_Q45_P 0.131 0.005 27.805 0.000
## .CBCL_Q50_P 0.125 0.005 26.640 0.000
## .CBCL_Q52_P 0.066 0.003 19.127 0.000
## .CBCL_Q71_P 0.262 0.006 40.805 0.000
## .CBCL_Q01_P 0.160 0.006 29.063 0.000
## .CBCL_Q04_P 0.223 0.006 34.412 0.000
## .CBCL_Q09_P 0.199 0.006 31.955 0.000
## .CBCL_Q13_P 0.048 0.003 13.863 0.000
## .CBCL_Q17_P 0.210 0.006 32.666 0.000
## .CBCL_Q36_P 0.156 0.006 24.801 0.000
## .CBCL_Q46_P 0.109 0.006 19.611 0.000
## .CBCL_Q61_P 0.099 0.005 21.455 0.000
## .CBCL_Q62_P 0.111 0.005 21.156 0.000
## .CBCL_Q64_P 0.137 0.005 25.995 0.000
## .CBCL_Q66_P 0.067 0.004 15.054 0.000
## .CBCL_Q80_P 0.064 0.003 18.719 0.000
## .CBCL_Q85_P 0.053 0.003 16.408 0.000
## .CBCL_Q93_P 0.243 0.007 33.296 0.000
## .Com6_Distractd 0.184 0.006 29.290 0.000
## .CBCL_Q51_P 0.041 0.003 12.531 0.000
## .CBCL_Q56A_P 0.147 0.005 26.975 0.000
## .CBCL_Q56B_P 0.196 0.006 31.485 0.000
## .CBCL_Q56C_P 0.072 0.004 19.218 0.000
## .CBCL_Q56D_P 0.041 0.004 9.259 0.000
## .CBCL_Q56E_P 0.157 0.007 22.903 0.000
## .CBCL_Q56F_P 0.124 0.006 20.350 0.000
## .CBCL_Q56G_P 0.039 0.003 14.293 0.000
## .CBCL_Q56H_P 0.032 0.004 8.816 0.000
## .CBCL_Q102_P 0.058 0.004 14.922 0.000
## .CBCL_Q111_P 0.039 0.002 16.602 0.000
## .CBCL_Q42_P 0.122 0.005 24.315 0.000
## .CBCL_Q65_P 0.065 0.004 15.970 0.000
## .CBCL_Q75_P 0.162 0.006 25.751 0.000
## .NIHTBX_FLANKER 0.643 0.023 28.523 0.000
## .NIHTBX_CARDSOR 0.468 0.024 19.371 0.000
## .NIHTBX_PATTERN 0.641 0.021 30.255 0.000
## .NIHTBX_PICVOCA 0.538 0.023 23.148 0.000
## .NIHTBX_READING 0.469 0.023 20.381 0.000
## .NIHTBX_PICTURE 0.700 0.020 35.277 0.000
## .PEA_RAVLT_LD_T 0.669 0.022 31.099 0.000
## .NIHTBX_LIST_UN 0.617 0.021 28.699 0.000
## .LMT_SCR_PERC_C 0.758 0.021 36.076 0.000
## .PEA_WISCV_TRS 0.678 0.023 29.527 0.000
## .BISBAS8_Y 0.587 0.019 31.360 0.000
## .BISBAS10_Y 0.590 0.019 31.807 0.000
## .BISBAS11_Y 0.704 0.022 31.867 0.000
## .BISBAS12_Y 0.482 0.017 27.974 0.000
## .BISBAS13_Y 0.491 0.017 29.426 0.000
## .BISBAS14_Y 0.404 0.016 25.344 0.000
## .BISBAS15_Y 0.499 0.016 31.548 0.000
## .BISBAS16_Y 0.683 0.023 29.552 0.000
## .BISBAS17_Y 0.686 0.019 36.892 0.000
## .BISBAS18_Y 0.570 0.020 28.708 0.000
## .BISBAS19_Y 0.674 0.019 35.411 0.000
## .BISBAS20_Y 0.696 0.020 34.969 0.000
## .Ext 0.072 0.005 14.889 0.000
## .Int 0.078 0.007 11.817 0.000
## .Att 0.016 0.002 8.438 0.000
## .Som 0.003 0.001 4.556 0.000
## .Det 0.010 0.002 6.344 0.000
## .EF 0.222 0.016 14.245 0.000
## .verbal 0.194 0.016 11.953 0.000
## .memory 0.085 0.012 6.898 0.000
## .spatial 0.007 0.012 0.609 0.542
## .RR 0.122 0.013 9.637 0.000
## .Drive 0.222 0.016 13.943 0.000
## .Fun 0.122 0.011 10.913 0.000
## Std.lv Std.all
## 0.935 0.935
## 0.978 0.978
## 0.986 0.986
## 0.235 0.562
## 0.204 0.810
## 0.204 0.763
## 0.010 0.928
## 0.055 0.726
## 0.180 0.675
## 0.095 0.712
## 0.159 0.686
## 0.052 0.837
## 0.024 0.794
## 0.063 0.894
## 0.145 0.676
## 0.005 0.932
## 0.085 0.655
## 0.004 0.986
## 0.229 0.800
## 0.184 0.574
## 0.134 0.626
## 0.108 0.712
## 0.030 0.838
## 0.068 0.839
## 0.088 0.811
## 0.166 0.570
## 0.007 0.954
## 0.049 0.712
## 0.036 0.771
## 0.112 0.569
## 0.037 0.811
## 0.096 0.731
## 0.178 0.515
## 0.111 0.827
## 0.155 0.762
## 0.042 0.856
## 0.076 0.776
## 0.251 0.768
## 0.105 0.695
## 0.131 0.584
## 0.125 0.488
## 0.066 0.760
## 0.262 0.688
## 0.160 0.724
## 0.223 0.619
## 0.199 0.650
## 0.048 0.788
## 0.210 0.715
## 0.156 0.852
## 0.109 0.795
## 0.099 0.720
## 0.111 0.769
## 0.137 0.811
## 0.067 0.797
## 0.064 0.738
## 0.053 0.803
## 0.243 0.784
## 0.184 0.497
## 0.041 0.903
## 0.147 0.811
## 0.196 0.778
## 0.072 0.485
## 0.041 0.968
## 0.157 0.943
## 0.124 0.541
## 0.039 0.868
## 0.032 0.934
## 0.058 0.762
## 0.039 0.590
## 0.122 0.698
## 0.065 0.779
## 0.162 0.773
## 0.643 0.650
## 0.468 0.466
## 0.641 0.645
## 0.538 0.534
## 0.469 0.466
## 0.700 0.700
## 0.669 0.672
## 0.617 0.617
## 0.758 0.763
## 0.678 0.676
## 0.587 0.592
## 0.590 0.594
## 0.704 0.705
## 0.482 0.485
## 0.491 0.489
## 0.404 0.403
## 0.499 0.499
## 0.683 0.686
## 0.686 0.682
## 0.570 0.573
## 0.674 0.682
## 0.696 0.693
## 0.394 0.394
## 0.465 0.465
## 0.264 0.264
## 0.734 0.734
## 0.537 0.537
## 0.641 0.641
## 0.413 0.413
## 0.285 0.285
## 0.031 0.031
## 0.301 0.301
## 0.434 0.434
## 0.381 0.381
##
## R-Square:
## Estimate
## p 0.065
## g 0.022
## BASg 0.014
## CBCL_Q03_P 0.438
## CBCL_Q07_P 0.190
## CBCL_Q109_P 0.237
## CBCL_Q15_P 0.072
## CBCL_Q16_P 0.274
## CBCL_Q19_P 0.325
## CBCL_Q26_P 0.288
## CBCL_Q27_P 0.314
## CBCL_Q34_P 0.163
## CBCL_Q37_P 0.206
## CBCL_Q39_P 0.106
## CBCL_Q43_P 0.324
## CBCL_Q67_P 0.068
## CBCL_Q68_P 0.345
## CBCL_Q72_P 0.014
## CBCL_Q74_P 0.200
## CBCL_Q86_P 0.426
## CBCL_Q87_P 0.374
## CBCL_Q88_P 0.288
## CBCL_Q89_P 0.162
## CBCL_Q90_P 0.161
## CBCL_Q94_P 0.189
## CBCL_Q95_P 0.430
## CBCL_Q96_P 0.046
## Com1_Attack 0.288
## Com2_Destroy 0.229
## Com3_Disobeys 0.431
## Com4_Steals 0.189
## Com5_Peer 0.269
## CBCL_Q112_P 0.485
## CBCL_Q12_P 0.173
## CBCL_Q29_P 0.238
## CBCL_Q30_P 0.144
## CBCL_Q31_P 0.224
## CBCL_Q32_P 0.232
## CBCL_Q35_P 0.305
## CBCL_Q45_P 0.416
## CBCL_Q50_P 0.512
## CBCL_Q52_P 0.240
## CBCL_Q71_P 0.312
## CBCL_Q01_P 0.276
## CBCL_Q04_P 0.381
## CBCL_Q09_P 0.350
## CBCL_Q13_P 0.212
## CBCL_Q17_P 0.285
## CBCL_Q36_P 0.148
## CBCL_Q46_P 0.205
## CBCL_Q61_P 0.280
## CBCL_Q62_P 0.231
## CBCL_Q64_P 0.189
## CBCL_Q66_P 0.203
## CBCL_Q80_P 0.262
## CBCL_Q85_P 0.197
## CBCL_Q93_P 0.216
## Com6_Distractd 0.503
## CBCL_Q51_P 0.097
## CBCL_Q56A_P 0.189
## CBCL_Q56B_P 0.222
## CBCL_Q56C_P 0.515
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.057
## CBCL_Q56F_P 0.459
## CBCL_Q56G_P 0.132
## CBCL_Q56H_P 0.066
## CBCL_Q102_P 0.238
## CBCL_Q111_P 0.410
## CBCL_Q42_P 0.302
## CBCL_Q65_P 0.221
## CBCL_Q75_P 0.227
## NIHTBX_FLANKER 0.350
## NIHTBX_CARDSOR 0.534
## NIHTBX_PATTERN 0.355
## NIHTBX_PICVOCA 0.466
## NIHTBX_READING 0.534
## NIHTBX_PICTURE 0.300
## PEA_RAVLT_LD_T 0.328
## NIHTBX_LIST_UN 0.383
## LMT_SCR_PERC_C 0.237
## PEA_WISCV_TRS 0.324
## BISBAS8_Y 0.408
## BISBAS10_Y 0.406
## BISBAS11_Y 0.295
## BISBAS12_Y 0.515
## BISBAS13_Y 0.511
## BISBAS14_Y 0.597
## BISBAS15_Y 0.501
## BISBAS16_Y 0.314
## BISBAS17_Y 0.318
## BISBAS18_Y 0.427
## BISBAS19_Y 0.318
## BISBAS20_Y 0.307
## Ext 0.606
## Int 0.535
## Att 0.736
## Som 0.266
## Det 0.463
## EF 0.359
## verbal 0.587
## memory 0.715
## spatial 0.969
## RR 0.699
## Drive 0.566
## Fun 0.619
##
## Defined Parameters:
## Estimate Std.Err z-value P(>|z|)
## indirectCogG 0.018 0.004 4.137 0.000
## indirectBAS 0.008 0.003 2.996 0.003
## sumIndirect 0.026 0.005 5.055 0.000
## direct 0.076 0.018 4.317 0.000
## total 0.102 0.018 5.747 0.000
## propCogG 0.175 0.048 3.644 0.000
## propBAS 0.077 0.028 2.715 0.007
## propSumIndirct 0.253 0.061 4.142 0.000
## Std.lv Std.all
## 0.017 0.017
## 0.008 0.008
## 0.025 0.025
## 0.074 0.074
## 0.099 0.099
## 0.175 0.175
## 0.077 0.077
## 0.253 0.253ADHD_BAS_G_Mediation.Fit.p5e_2 <- lavaan::standardizedSolution(ADHD_BAS_G_Mediation.Fit ) %>%
filter(op %in% c("~",":=")) %>%
filter(!str_detect(rhs, "pc")) %>%
filter(!str_detect(rhs, "cnt"))
ADHD_BAS_G_Mediation.Fit.p5e_2 %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| p | ~ | g | -0.1911870 | 0.0236785 | -8.074288 | 0.0000000 | -0.2375960 | -0.1447780 |
| p | ~ | BASg | 0.0998546 | 0.0225249 | 4.433086 | 0.0000093 | 0.0557067 | 0.1440025 |
| p | ~ | ADHDp5e_2_score | 0.0737049 | 0.0169964 | 4.336501 | 0.0000145 | 0.0403926 | 0.1070173 |
| g | ~ | ADHDp5e_2_score | -0.0904954 | 0.0184869 | -4.895115 | 0.0000010 | -0.1267290 | -0.0542618 |
| BASg | ~ | ADHDp5e_2_score | 0.0762004 | 0.0184183 | 4.137209 | 0.0000352 | 0.0401012 | 0.1122996 |
| indirectCogG | := | aG*bG | 0.0173015 | 0.0041369 | 4.182213 | 0.0000289 | 0.0091933 | 0.0254098 |
| indirectBAS | := | aBASg*bBASg | 0.0076090 | 0.0025290 | 3.008658 | 0.0026240 | 0.0026522 | 0.0125658 |
| sumIndirect | := | (aGbG)+(aBASgbBASg) | 0.0249105 | 0.0048549 | 5.130951 | 0.0000003 | 0.0153950 | 0.0344260 |
| direct | := | c | 0.0737049 | 0.0169964 | 4.336501 | 0.0000145 | 0.0403926 | 0.1070173 |
| total | := | c+(aGbG)+(aBASgbBASg) | 0.0986154 | 0.0169771 | 5.808725 | 0.0000000 | 0.0653409 | 0.1318900 |
| propCogG | := | indirectCogG/total | 0.1754445 | 0.0481488 | 3.643801 | 0.0002686 | 0.0810747 | 0.2698144 |
| propBAS | := | indirectBAS/total | 0.0771579 | 0.0284235 | 2.714583 | 0.0066359 | 0.0214489 | 0.1328669 |
| propSumIndirect | := | sumIndirect/total | 0.2526025 | 0.0609884 | 4.141813 | 0.0000345 | 0.1330674 | 0.3721375 |
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$est.std,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 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
NDe ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
Int ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
Som ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
Det ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
'
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 538 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 208
##
## Used Total
## Number of observations 4438 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 21369.104 13858.680
## Degrees of freedom 3035 3035
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.542
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 205311.640 133415.269
## Degrees of freedom 3174 3174
## P-value 0.000 0.000
## Scaling correction factor 1.539
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.909 0.917
## Tucker-Lewis Index (TLI) 0.905 0.913
##
## Robust Comparative Fit Index (CFI) 0.917
## Robust Tucker-Lewis Index (TLI) 0.913
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -72572.817 -72572.817
## Scaling correction factor 5.455
## for the MLR correction
## Loglikelihood unrestricted model (H1) -61888.265 -61888.265
## Scaling correction factor 1.793
## for the MLR correction
##
## Akaike (AIC) 145561.634 145561.634
## Bayesian (BIC) 146892.409 146892.409
## Sample-size adjusted Bayesian (BIC) 146231.468 146231.468
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.037 0.028
## 90 Percent confidence interval - lower 0.036 0.028
## 90 Percent confidence interval - upper 0.037 0.029
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.035
## 90 Percent confidence interval - lower 0.035
## 90 Percent confidence interval - upper 0.036
##
## 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 0.511 0.025 20.448 0.000
## CBCL_Q109_P 0.586 0.023 25.205 0.000
## CBCL_Q15_P 0.060 0.012 5.241 0.000
## CBCL_Q16_P 0.340 0.023 14.991 0.000
## CBCL_Q19_P 0.695 0.025 28.181 0.000
## CBCL_Q26_P 0.453 0.025 18.164 0.000
## CBCL_Q27_P 0.639 0.025 26.062 0.000
## CBCL_Q34_P 0.226 0.021 10.782 0.000
## CBCL_Q37_P 0.185 0.021 8.643 0.000
## CBCL_Q39_P 0.205 0.020 10.039 0.000
## CBCL_Q43_P 0.622 0.024 25.861 0.000
## CBCL_Q67_P 0.041 0.012 3.411 0.001
## CBCL_Q68_P 0.489 0.024 20.107 0.000
## CBCL_Q72_P 0.018 0.006 3.214 0.001
## CBCL_Q74_P 0.561 0.026 21.183 0.000
## CBCL_Q86_P 0.850 0.022 39.363 0.000
## CBCL_Q87_P 0.648 0.025 25.866 0.000
## CBCL_Q88_P 0.483 0.026 18.835 0.000
## CBCL_Q89_P 0.177 0.021 8.270 0.000
## CBCL_Q90_P 0.266 0.025 10.784 0.000
## CBCL_Q94_P 0.339 0.024 14.062 0.000
## CBCL_Q95_P 0.817 0.022 36.860 0.000
## CBCL_Q96_P 0.042 0.013 3.125 0.002
## Com1_Attack 0.329 0.023 14.528 0.000
## Com2_Destroy 0.241 0.021 11.527 0.000
## Com3_Disobeys 0.680 0.020 33.804 0.000
## Com4_Steals 0.217 0.020 10.811 0.000
## Com5_Peer 0.441 0.023 19.547 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.490 0.069 21.560 0.000
## CBCL_Q09_P 1.304 0.064 20.409 0.000
## CBCL_Q13_P 0.447 0.039 11.554 0.000
## CBCL_Q17_P 1.141 0.062 18.324 0.000
## CBCL_Q36_P 0.680 0.045 15.096 0.000
## CBCL_Q46_P 0.664 0.047 14.196 0.000
## CBCL_Q61_P 0.782 0.044 17.934 0.000
## CBCL_Q62_P 0.741 0.043 17.131 0.000
## CBCL_Q64_P 0.720 0.041 17.413 0.000
## CBCL_Q66_P 0.513 0.043 11.869 0.000
## CBCL_Q80_P 0.588 0.042 13.890 0.000
## CBCL_Q85_P 0.456 0.035 12.945 0.000
## CBCL_Q93_P 1.046 0.056 18.686 0.000
## Com6_Distractd 1.734 0.073 23.649 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.371 0.026 14.289 0.000
## CBCL_Q29_P 0.526 0.026 20.146 0.000
## CBCL_Q30_P 0.207 0.021 9.716 0.000
## CBCL_Q31_P 0.358 0.024 15.043 0.000
## CBCL_Q32_P 0.679 0.029 23.249 0.000
## CBCL_Q35_P 0.517 0.026 19.803 0.000
## CBCL_Q45_P 0.745 0.024 31.030 0.000
## CBCL_Q50_P 0.880 0.022 40.157 0.000
## CBCL_Q52_P 0.356 0.023 15.198 0.000
## CBCL_Q71_P 0.854 0.028 29.956 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.716 0.300 9.046 0.000
## CBCL_Q56B_P 3.492 0.366 9.533 0.000
## CBCL_Q56C_P 4.019 0.446 9.012 0.000
## CBCL_Q56D_P 0.549 0.099 5.574 0.000
## CBCL_Q56E_P 1.424 0.197 7.222 0.000
## CBCL_Q56F_P 4.751 0.517 9.196 0.000
## CBCL_Q56G_P 1.072 0.156 6.878 0.000
## CBCL_Q56H_P 0.670 0.129 5.186 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.238 0.093 13.325 0.000
## CBCL_Q42_P 1.737 0.147 11.817 0.000
## CBCL_Q65_P 1.008 0.104 9.668 0.000
## CBCL_Q75_P 1.700 0.161 10.583 0.000
## Std.lv Std.all
##
## 0.429 0.662
## 0.219 0.439
## 0.251 0.483
## 0.026 0.259
## 0.146 0.528
## 0.298 0.576
## 0.194 0.537
## 0.274 0.565
## 0.097 0.394
## 0.080 0.460
## 0.088 0.335
## 0.267 0.570
## 0.017 0.248
## 0.210 0.584
## 0.008 0.115
## 0.241 0.451
## 0.365 0.645
## 0.278 0.605
## 0.208 0.530
## 0.076 0.407
## 0.114 0.401
## 0.145 0.437
## 0.351 0.652
## 0.018 0.207
## 0.141 0.537
## 0.104 0.482
## 0.292 0.656
## 0.093 0.434
## 0.189 0.518
##
## 0.250 0.525
## 0.372 0.622
## 0.326 0.588
## 0.112 0.453
## 0.285 0.527
## 0.170 0.395
## 0.166 0.445
## 0.195 0.526
## 0.185 0.485
## 0.180 0.434
## 0.128 0.439
## 0.147 0.496
## 0.114 0.437
## 0.261 0.469
## 0.433 0.712
##
## 0.409 0.696
## 0.152 0.414
## 0.215 0.480
## 0.085 0.378
## 0.147 0.472
## 0.278 0.488
## 0.212 0.546
## 0.305 0.643
## 0.360 0.715
## 0.146 0.490
## 0.349 0.566
##
## 0.068 0.322
## 0.185 0.436
## 0.238 0.474
## 0.274 0.715
## 0.037 0.180
## 0.097 0.239
## 0.324 0.680
## 0.073 0.348
## 0.046 0.251
##
## 0.133 0.480
## 0.164 0.636
## 0.230 0.548
## 0.134 0.464
## 0.225 0.492
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## Ext ~
## wryMDDp5_2_scr 0.027 0.007 4.141 0.000
## NDe ~
## wryMDDp5_2_scr 0.017 0.004 4.182 0.000
## Int ~
## wryMDDp5_2_scr 0.029 0.006 4.695 0.000
## Som ~
## wryMDDp5_2_scr 0.003 0.001 2.703 0.007
## Det ~
## wryMDDp5_2_scr 0.014 0.003 5.087 0.000
## Ext ~
## wryMDDp5_2_cnt 0.000 0.000 1.545 0.122
## pc1 0.174 0.495 0.351 0.725
## pc2 0.879 0.490 1.791 0.073
## pc3 0.121 0.346 0.350 0.726
## pc4 0.446 0.345 1.290 0.197
## pc5 -0.703 0.321 -2.190 0.029
## pc6 -0.829 0.378 -2.196 0.028
## pc7 -0.580 0.244 -2.373 0.018
## pc8 1.530 0.329 4.657 0.000
## pc9 0.384 0.270 1.424 0.154
## pc10 -0.292 0.512 -0.571 0.568
## NDe ~
## wryMDDp5_2_cnt 0.000 0.000 0.189 0.850
## pc1 -0.456 0.276 -1.654 0.098
## pc2 0.523 0.251 2.081 0.037
## pc3 -0.346 0.215 -1.605 0.109
## pc4 0.411 0.225 1.826 0.068
## pc5 -0.647 0.259 -2.494 0.013
## pc6 0.048 0.286 0.169 0.866
## pc7 -0.268 0.134 -1.996 0.046
## pc8 0.310 0.182 1.700 0.089
## pc9 0.075 0.132 0.567 0.571
## pc10 0.110 0.192 0.571 0.568
## Int ~
## wryMDDp5_2_cnt 0.000 0.000 0.069 0.945
## pc1 -0.746 0.485 -1.539 0.124
## pc2 0.264 0.435 0.605 0.545
## pc3 0.307 0.331 0.927 0.354
## pc4 0.423 0.392 1.079 0.281
## pc5 -0.510 0.419 -1.217 0.224
## pc6 -0.250 0.487 -0.512 0.609
## pc7 -0.689 0.234 -2.946 0.003
## pc8 0.012 0.475 0.025 0.980
## pc9 -0.446 0.236 -1.888 0.059
## pc10 0.352 0.308 1.143 0.253
## Som ~
## wryMDDp5_2_cnt 0.000 0.000 0.317 0.751
## pc1 -0.119 0.083 -1.437 0.151
## pc2 0.065 0.077 0.840 0.401
## pc3 0.107 0.063 1.700 0.089
## pc4 0.060 0.075 0.797 0.425
## pc5 -0.065 0.055 -1.179 0.239
## pc6 -0.082 0.066 -1.250 0.211
## pc7 -0.149 0.054 -2.778 0.005
## pc8 -0.017 0.067 -0.255 0.799
## pc9 -0.102 0.051 -2.009 0.045
## pc10 -0.002 0.062 -0.030 0.976
## Det ~
## wryMDDp5_2_cnt 0.000 0.000 0.849 0.396
## pc1 -0.360 0.169 -2.131 0.033
## pc2 -0.069 0.171 -0.404 0.686
## pc3 0.042 0.117 0.361 0.718
## pc4 0.073 0.124 0.589 0.556
## pc5 -0.016 0.132 -0.124 0.901
## pc6 0.090 0.134 0.670 0.503
## pc7 -0.025 0.071 -0.347 0.729
## pc8 -0.055 0.087 -0.631 0.528
## pc9 -0.055 0.067 -0.812 0.417
## pc10 0.019 0.089 0.219 0.827
## Std.lv Std.all
##
## 0.063 0.063
##
## 0.069 0.069
##
## 0.071 0.071
##
## 0.048 0.048
##
## 0.104 0.104
##
## 0.000 0.026
## 0.405 0.006
## 2.046 0.028
## 0.282 0.003
## 1.038 0.012
## -1.636 -0.019
## -1.931 -0.023
## -1.350 -0.020
## 3.563 0.040
## 0.895 0.013
## -0.681 -0.008
##
## 0.000 0.003
## -1.825 -0.025
## 2.093 0.029
## -1.384 -0.016
## 1.646 0.018
## -2.589 -0.030
## 0.193 0.002
## -1.074 -0.016
## 1.240 0.014
## 0.299 0.004
## 0.439 0.005
##
## 0.000 0.001
## -1.822 -0.025
## 0.644 0.009
## 0.749 0.009
## 1.034 0.012
## -1.247 -0.015
## -0.610 -0.007
## -1.683 -0.025
## 0.029 0.000
## -1.090 -0.016
## 0.859 0.010
##
## 0.000 0.006
## -1.743 -0.024
## 0.953 0.013
## 1.563 0.018
## 0.876 0.010
## -0.955 -0.011
## -1.205 -0.015
## -2.185 -0.032
## -0.250 -0.003
## -1.499 -0.022
## -0.027 -0.000
##
## 0.000 0.016
## -2.719 -0.037
## -0.522 -0.007
## 0.320 0.004
## 0.553 0.006
## -0.124 -0.001
## 0.680 0.008
## -0.186 -0.003
## -0.412 -0.005
## -0.412 -0.006
## 0.147 0.002
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .Ext ~~
## .NDe 0.074 0.004 17.254 0.000
## .Int 0.093 0.005 19.574 0.000
## .Som 0.010 0.001 7.619 0.000
## .Det 0.027 0.003 9.418 0.000
## .NDe ~~
## .Int 0.060 0.004 16.751 0.000
## .Som 0.007 0.001 7.272 0.000
## .Det 0.018 0.002 8.467 0.000
## .Int ~~
## .Som 0.014 0.002 7.825 0.000
## .Det 0.032 0.003 11.087 0.000
## .Som ~~
## .Det 0.003 0.001 5.762 0.000
## Std.lv Std.all
##
## 0.697 0.697
## 0.533 0.533
## 0.349 0.349
## 0.488 0.488
##
## 0.592 0.592
## 0.395 0.395
## 0.549 0.549
##
## 0.496 0.496
## 0.598 0.598
##
## 0.370 0.370
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .CBCL_Q03_P 0.237 0.007 36.093 0.000
## .CBCL_Q07_P 0.201 0.005 39.290 0.000
## .CBCL_Q109_P 0.208 0.005 39.630 0.000
## .CBCL_Q15_P 0.009 0.002 5.721 0.000
## .CBCL_Q16_P 0.055 0.003 20.715 0.000
## .CBCL_Q19_P 0.180 0.006 29.523 0.000
## .CBCL_Q26_P 0.093 0.004 21.387 0.000
## .CBCL_Q27_P 0.160 0.005 30.285 0.000
## .CBCL_Q34_P 0.052 0.003 15.621 0.000
## .CBCL_Q37_P 0.024 0.002 12.166 0.000
## .CBCL_Q39_P 0.061 0.004 17.133 0.000
## .CBCL_Q43_P 0.148 0.005 32.758 0.000
## .CBCL_Q67_P 0.005 0.001 4.038 0.000
## .CBCL_Q68_P 0.085 0.004 21.879 0.000
## .CBCL_Q72_P 0.005 0.001 3.692 0.000
## .CBCL_Q74_P 0.227 0.006 37.289 0.000
## .CBCL_Q86_P 0.187 0.005 35.857 0.000
## .CBCL_Q87_P 0.134 0.004 30.118 0.000
## .CBCL_Q88_P 0.110 0.004 25.558 0.000
## .CBCL_Q89_P 0.029 0.003 10.346 0.000
## .CBCL_Q90_P 0.068 0.004 15.890 0.000
## .CBCL_Q94_P 0.090 0.004 22.004 0.000
## .CBCL_Q95_P 0.167 0.005 33.114 0.000
## .CBCL_Q96_P 0.007 0.002 4.807 0.000
## .Com1_Attack 0.049 0.002 20.588 0.000
## .Com2_Destroy 0.035 0.002 16.557 0.000
## .Com3_Disobeys 0.113 0.004 31.991 0.000
## .Com4_Steals 0.037 0.002 15.065 0.000
## .Com5_Peer 0.098 0.004 24.889 0.000
## .CBCL_Q01_P 0.164 0.005 30.317 0.000
## .CBCL_Q04_P 0.220 0.006 35.819 0.000
## .CBCL_Q09_P 0.201 0.006 32.894 0.000
## .CBCL_Q13_P 0.048 0.003 14.540 0.000
## .CBCL_Q17_P 0.212 0.006 34.231 0.000
## .CBCL_Q36_P 0.156 0.006 25.879 0.000
## .CBCL_Q46_P 0.112 0.006 20.126 0.000
## .CBCL_Q61_P 0.100 0.004 22.348 0.000
## .CBCL_Q62_P 0.111 0.005 21.842 0.000
## .CBCL_Q64_P 0.139 0.005 26.842 0.000
## .CBCL_Q66_P 0.069 0.004 15.474 0.000
## .CBCL_Q80_P 0.066 0.003 19.457 0.000
## .CBCL_Q85_P 0.055 0.003 17.005 0.000
## .CBCL_Q93_P 0.242 0.007 34.161 0.000
## .Com6_Distractd 0.183 0.006 30.657 0.000
## .CBCL_Q112_P 0.179 0.005 33.732 0.000
## .CBCL_Q12_P 0.112 0.005 22.209 0.000
## .CBCL_Q29_P 0.155 0.005 29.608 0.000
## .CBCL_Q30_P 0.043 0.003 13.205 0.000
## .CBCL_Q31_P 0.075 0.004 21.066 0.000
## .CBCL_Q32_P 0.248 0.007 36.730 0.000
## .CBCL_Q35_P 0.106 0.004 26.481 0.000
## .CBCL_Q45_P 0.132 0.005 28.797 0.000
## .CBCL_Q50_P 0.124 0.004 28.056 0.000
## .CBCL_Q52_P 0.067 0.003 19.717 0.000
## .CBCL_Q71_P 0.259 0.006 42.151 0.000
## .CBCL_Q51_P 0.040 0.003 13.161 0.000
## .CBCL_Q56A_P 0.146 0.005 27.896 0.000
## .CBCL_Q56B_P 0.195 0.006 32.354 0.000
## .CBCL_Q56C_P 0.072 0.004 19.988 0.000
## .CBCL_Q56D_P 0.042 0.004 9.608 0.000
## .CBCL_Q56E_P 0.156 0.007 23.546 0.000
## .CBCL_Q56F_P 0.122 0.006 21.529 0.000
## .CBCL_Q56G_P 0.039 0.003 14.684 0.000
## .CBCL_Q56H_P 0.031 0.003 9.057 0.000
## .CBCL_Q102_P 0.059 0.004 15.727 0.000
## .CBCL_Q111_P 0.040 0.002 17.350 0.000
## .CBCL_Q42_P 0.124 0.005 25.029 0.000
## .CBCL_Q65_P 0.065 0.004 16.569 0.000
## .CBCL_Q75_P 0.159 0.006 26.238 0.000
## .Ext 0.183 0.008 23.570 0.000
## .NDe 0.062 0.005 12.070 0.000
## .Int 0.166 0.008 21.265 0.000
## .Som 0.005 0.001 4.721 0.000
## .Det 0.017 0.003 6.343 0.000
## Std.lv Std.all
## 0.237 0.562
## 0.201 0.807
## 0.208 0.767
## 0.009 0.933
## 0.055 0.721
## 0.180 0.669
## 0.093 0.712
## 0.160 0.680
## 0.052 0.845
## 0.024 0.788
## 0.061 0.888
## 0.148 0.675
## 0.005 0.938
## 0.085 0.659
## 0.005 0.987
## 0.227 0.797
## 0.187 0.583
## 0.134 0.634
## 0.110 0.719
## 0.029 0.834
## 0.068 0.839
## 0.090 0.809
## 0.167 0.575
## 0.007 0.957
## 0.049 0.711
## 0.035 0.768
## 0.113 0.569
## 0.037 0.811
## 0.098 0.732
## 0.164 0.724
## 0.220 0.613
## 0.201 0.654
## 0.048 0.795
## 0.212 0.723
## 0.156 0.844
## 0.112 0.802
## 0.100 0.724
## 0.111 0.765
## 0.139 0.812
## 0.069 0.808
## 0.066 0.754
## 0.055 0.809
## 0.242 0.780
## 0.183 0.494
## 0.179 0.516
## 0.112 0.828
## 0.155 0.770
## 0.043 0.857
## 0.075 0.777
## 0.248 0.762
## 0.106 0.702
## 0.132 0.586
## 0.124 0.489
## 0.067 0.760
## 0.259 0.679
## 0.040 0.896
## 0.146 0.810
## 0.195 0.775
## 0.072 0.488
## 0.042 0.968
## 0.156 0.943
## 0.122 0.538
## 0.039 0.879
## 0.031 0.937
## 0.059 0.770
## 0.040 0.595
## 0.124 0.700
## 0.065 0.785
## 0.159 0.758
## 0.992 0.992
## 0.992 0.992
## 0.993 0.993
## 0.995 0.995
## 0.988 0.988
##
## R-Square:
## Estimate
## CBCL_Q03_P 0.438
## CBCL_Q07_P 0.193
## CBCL_Q109_P 0.233
## CBCL_Q15_P 0.067
## CBCL_Q16_P 0.279
## CBCL_Q19_P 0.331
## CBCL_Q26_P 0.288
## CBCL_Q27_P 0.320
## CBCL_Q34_P 0.155
## CBCL_Q37_P 0.212
## CBCL_Q39_P 0.112
## CBCL_Q43_P 0.325
## CBCL_Q67_P 0.062
## CBCL_Q68_P 0.341
## CBCL_Q72_P 0.013
## CBCL_Q74_P 0.203
## CBCL_Q86_P 0.417
## CBCL_Q87_P 0.366
## CBCL_Q88_P 0.281
## CBCL_Q89_P 0.166
## CBCL_Q90_P 0.161
## CBCL_Q94_P 0.191
## CBCL_Q95_P 0.425
## CBCL_Q96_P 0.043
## Com1_Attack 0.289
## Com2_Destroy 0.232
## Com3_Disobeys 0.431
## Com4_Steals 0.189
## Com5_Peer 0.268
## CBCL_Q01_P 0.276
## CBCL_Q04_P 0.387
## CBCL_Q09_P 0.346
## CBCL_Q13_P 0.205
## CBCL_Q17_P 0.277
## CBCL_Q36_P 0.156
## CBCL_Q46_P 0.198
## CBCL_Q61_P 0.276
## CBCL_Q62_P 0.235
## CBCL_Q64_P 0.188
## CBCL_Q66_P 0.192
## CBCL_Q80_P 0.246
## CBCL_Q85_P 0.191
## CBCL_Q93_P 0.220
## Com6_Distractd 0.506
## CBCL_Q112_P 0.484
## CBCL_Q12_P 0.172
## CBCL_Q29_P 0.230
## CBCL_Q30_P 0.143
## CBCL_Q31_P 0.223
## CBCL_Q32_P 0.238
## CBCL_Q35_P 0.298
## CBCL_Q45_P 0.414
## CBCL_Q50_P 0.511
## CBCL_Q52_P 0.240
## CBCL_Q71_P 0.321
## CBCL_Q51_P 0.104
## CBCL_Q56A_P 0.190
## CBCL_Q56B_P 0.225
## CBCL_Q56C_P 0.512
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.057
## CBCL_Q56F_P 0.462
## CBCL_Q56G_P 0.121
## CBCL_Q56H_P 0.063
## CBCL_Q102_P 0.230
## CBCL_Q111_P 0.405
## CBCL_Q42_P 0.300
## CBCL_Q65_P 0.215
## CBCL_Q75_P 0.242
## Ext 0.008
## NDe 0.008
## Int 0.007
## Som 0.005
## Det 0.012MDD_PFac1stOrder.Fit.p5e_2 <- lavaan::standardizedSolution(MDD_PFac1stOrder.Fit) %>%
filter(op == "~") %>%
filter(str_detect(rhs, "score"))
MDD_PFac1stOrder.Fit.p5e_2 %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| Ext | ~ | wrayMDDp5e_2_score | 0.0634412 | 0.0152329 | 4.164747 | 0.0000312 | 0.0335853 | 0.0932972 |
| NDe | ~ | wrayMDDp5e_2_score | 0.0691994 | 0.0157821 | 4.384683 | 0.0000116 | 0.0382671 | 0.1001317 |
| Int | ~ | wrayMDDp5e_2_score | 0.0711916 | 0.0150760 | 4.722195 | 0.0000023 | 0.0416433 | 0.1007400 |
| Som | ~ | wrayMDDp5e_2_score | 0.0479490 | 0.0165758 | 2.892711 | 0.0038193 | 0.0154610 | 0.0804369 |
| Det | ~ | wrayMDDp5e_2_score | 0.1037492 | 0.0175438 | 5.913717 | 0.0000000 | 0.0693639 | 0.1381344 |
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$est.std,3),s[,7]))
#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 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
NDe ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
Int ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
Som ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
Det ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
'
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 550 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 208
##
## Used Total
## Number of observations 4438 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 21381.282 13863.376
## Degrees of freedom 3035 3035
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.542
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 186931.713 121441.095
## Degrees of freedom 3174 3174
## P-value 0.000 0.000
## Scaling correction factor 1.539
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.900 0.908
## Tucker-Lewis Index (TLI) 0.896 0.904
##
## Robust Comparative Fit Index (CFI) 0.908
## Robust Tucker-Lewis Index (TLI) 0.904
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -72568.325 -72568.325
## Scaling correction factor 5.456
## for the MLR correction
## Loglikelihood unrestricted model (H1) -61877.684 -61877.684
## Scaling correction factor 1.793
## for the MLR correction
##
## Akaike (AIC) 145552.651 145552.651
## Bayesian (BIC) 146883.426 146883.426
## Sample-size adjusted Bayesian (BIC) 146222.485 146222.485
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.037 0.028
## 90 Percent confidence interval - lower 0.036 0.028
## 90 Percent confidence interval - upper 0.037 0.029
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.035
## 90 Percent confidence interval - lower 0.035
## 90 Percent confidence interval - upper 0.036
##
## 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 0.511 0.025 20.447 0.000
## CBCL_Q109_P 0.586 0.023 25.202 0.000
## CBCL_Q15_P 0.060 0.012 5.242 0.000
## CBCL_Q16_P 0.340 0.023 14.989 0.000
## CBCL_Q19_P 0.695 0.025 28.184 0.000
## CBCL_Q26_P 0.453 0.025 18.162 0.000
## CBCL_Q27_P 0.639 0.025 26.058 0.000
## CBCL_Q34_P 0.226 0.021 10.779 0.000
## CBCL_Q37_P 0.185 0.021 8.641 0.000
## CBCL_Q39_P 0.205 0.020 10.041 0.000
## CBCL_Q43_P 0.622 0.024 25.858 0.000
## CBCL_Q67_P 0.041 0.012 3.411 0.001
## CBCL_Q68_P 0.489 0.024 20.110 0.000
## CBCL_Q72_P 0.018 0.006 3.212 0.001
## CBCL_Q74_P 0.561 0.026 21.186 0.000
## CBCL_Q86_P 0.850 0.022 39.363 0.000
## CBCL_Q87_P 0.648 0.025 25.866 0.000
## CBCL_Q88_P 0.483 0.026 18.834 0.000
## CBCL_Q89_P 0.177 0.021 8.269 0.000
## CBCL_Q90_P 0.266 0.025 10.786 0.000
## CBCL_Q94_P 0.339 0.024 14.063 0.000
## CBCL_Q95_P 0.817 0.022 36.863 0.000
## CBCL_Q96_P 0.042 0.013 3.125 0.002
## Com1_Attack 0.329 0.023 14.525 0.000
## Com2_Destroy 0.241 0.021 11.526 0.000
## Com3_Disobeys 0.680 0.020 33.808 0.000
## Com4_Steals 0.217 0.020 10.814 0.000
## Com5_Peer 0.441 0.023 19.551 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.491 0.069 21.576 0.000
## CBCL_Q09_P 1.304 0.064 20.419 0.000
## CBCL_Q13_P 0.447 0.039 11.548 0.000
## CBCL_Q17_P 1.141 0.062 18.337 0.000
## CBCL_Q36_P 0.680 0.045 15.100 0.000
## CBCL_Q46_P 0.664 0.047 14.186 0.000
## CBCL_Q61_P 0.782 0.044 17.934 0.000
## CBCL_Q62_P 0.741 0.043 17.124 0.000
## CBCL_Q64_P 0.720 0.041 17.409 0.000
## CBCL_Q66_P 0.513 0.043 11.867 0.000
## CBCL_Q80_P 0.588 0.042 13.890 0.000
## CBCL_Q85_P 0.456 0.035 12.940 0.000
## CBCL_Q93_P 1.048 0.056 18.679 0.000
## Com6_Distractd 1.735 0.073 23.663 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.371 0.026 14.285 0.000
## CBCL_Q29_P 0.526 0.026 20.157 0.000
## CBCL_Q30_P 0.207 0.021 9.716 0.000
## CBCL_Q31_P 0.358 0.024 15.044 0.000
## CBCL_Q32_P 0.679 0.029 23.259 0.000
## CBCL_Q35_P 0.517 0.026 19.809 0.000
## CBCL_Q45_P 0.745 0.024 31.040 0.000
## CBCL_Q50_P 0.880 0.022 40.179 0.000
## CBCL_Q52_P 0.356 0.023 15.201 0.000
## CBCL_Q71_P 0.854 0.028 29.967 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.718 0.301 9.042 0.000
## CBCL_Q56B_P 3.495 0.367 9.527 0.000
## CBCL_Q56C_P 4.023 0.447 9.005 0.000
## CBCL_Q56D_P 0.550 0.099 5.575 0.000
## CBCL_Q56E_P 1.425 0.197 7.220 0.000
## CBCL_Q56F_P 4.755 0.517 9.189 0.000
## CBCL_Q56G_P 1.072 0.156 6.878 0.000
## CBCL_Q56H_P 0.670 0.129 5.185 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.241 0.093 13.299 0.000
## CBCL_Q42_P 1.741 0.148 11.797 0.000
## CBCL_Q65_P 1.010 0.105 9.647 0.000
## CBCL_Q75_P 1.702 0.161 10.569 0.000
## Std.lv Std.all
##
## 0.429 0.662
## 0.219 0.439
## 0.251 0.483
## 0.026 0.259
## 0.146 0.528
## 0.298 0.576
## 0.194 0.537
## 0.274 0.565
## 0.097 0.394
## 0.080 0.460
## 0.088 0.335
## 0.267 0.570
## 0.017 0.248
## 0.210 0.584
## 0.008 0.115
## 0.241 0.451
## 0.365 0.645
## 0.278 0.605
## 0.208 0.530
## 0.076 0.407
## 0.114 0.401
## 0.145 0.437
## 0.351 0.652
## 0.018 0.207
## 0.141 0.537
## 0.104 0.482
## 0.292 0.656
## 0.093 0.434
## 0.189 0.518
##
## 0.250 0.525
## 0.372 0.622
## 0.326 0.588
## 0.112 0.453
## 0.285 0.526
## 0.170 0.395
## 0.166 0.445
## 0.195 0.525
## 0.185 0.485
## 0.180 0.434
## 0.128 0.438
## 0.147 0.496
## 0.114 0.437
## 0.262 0.470
## 0.433 0.712
##
## 0.409 0.696
## 0.152 0.414
## 0.215 0.480
## 0.085 0.378
## 0.147 0.472
## 0.278 0.488
## 0.212 0.546
## 0.305 0.643
## 0.360 0.714
## 0.146 0.490
## 0.349 0.566
##
## 0.068 0.322
## 0.185 0.436
## 0.238 0.474
## 0.274 0.716
## 0.037 0.180
## 0.097 0.239
## 0.324 0.680
## 0.073 0.348
## 0.046 0.251
##
## 0.132 0.479
## 0.164 0.637
## 0.230 0.548
## 0.134 0.464
## 0.225 0.492
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## Ext ~
## ADHDp5e_2_scor 0.039 0.007 5.984 0.000
## NDe ~
## ADHDp5e_2_scor 0.023 0.004 5.592 0.000
## Int ~
## ADHDp5e_2_scor 0.013 0.007 1.995 0.046
## Som ~
## ADHDp5e_2_scor 0.003 0.001 2.516 0.012
## Det ~
## ADHDp5e_2_scor 0.003 0.003 1.246 0.213
## Ext ~
## ADHDp5e_2_cnt 0.000 0.000 1.913 0.056
## pc1 0.256 0.493 0.520 0.603
## pc2 0.864 0.480 1.797 0.072
## pc3 0.211 0.347 0.608 0.543
## pc4 0.505 0.343 1.472 0.141
## pc5 -0.636 0.309 -2.058 0.040
## pc6 -0.811 0.360 -2.255 0.024
## pc7 -0.575 0.243 -2.365 0.018
## pc8 1.581 0.324 4.883 0.000
## pc9 0.359 0.261 1.377 0.169
## pc10 -0.381 0.495 -0.770 0.441
## NDe ~
## ADHDp5e_2_cnt 0.000 0.000 0.523 0.601
## pc1 -0.389 0.275 -1.415 0.157
## pc2 0.526 0.248 2.120 0.034
## pc3 -0.290 0.217 -1.333 0.182
## pc4 0.444 0.226 1.964 0.050
## pc5 -0.609 0.252 -2.412 0.016
## pc6 0.058 0.274 0.211 0.833
## pc7 -0.267 0.135 -1.980 0.048
## pc8 0.341 0.178 1.916 0.055
## pc9 0.057 0.127 0.449 0.653
## pc10 0.058 0.184 0.314 0.753
## Int ~
## ADHDp5e_2_cnt 0.000 0.000 0.611 0.541
## pc1 -0.500 0.478 -1.044 0.296
## pc2 0.344 0.429 0.801 0.423
## pc3 0.350 0.325 1.076 0.282
## pc4 0.458 0.386 1.186 0.236
## pc5 -0.497 0.415 -1.198 0.231
## pc6 -0.298 0.484 -0.616 0.538
## pc7 -0.715 0.233 -3.065 0.002
## pc8 0.047 0.484 0.097 0.922
## pc9 -0.437 0.237 -1.841 0.066
## pc10 0.352 0.310 1.138 0.255
## Som ~
## ADHDp5e_2_cnt 0.000 0.000 0.610 0.542
## pc1 -0.099 0.081 -1.222 0.222
## pc2 0.069 0.077 0.905 0.366
## pc3 0.114 0.061 1.858 0.063
## pc4 0.065 0.074 0.874 0.382
## pc5 -0.061 0.054 -1.112 0.266
## pc6 -0.084 0.065 -1.288 0.198
## pc7 -0.150 0.053 -2.828 0.005
## pc8 -0.012 0.067 -0.179 0.858
## pc9 -0.103 0.051 -2.030 0.042
## pc10 -0.007 0.062 -0.111 0.912
## Det ~
## ADHDp5e_2_cnt 0.000 0.000 1.234 0.217
## pc1 -0.241 0.167 -1.441 0.150
## pc2 -0.043 0.170 -0.255 0.799
## pc3 0.052 0.118 0.443 0.658
## pc4 0.089 0.125 0.710 0.478
## pc5 -0.016 0.132 -0.119 0.905
## pc6 0.061 0.133 0.458 0.647
## pc7 -0.034 0.073 -0.466 0.641
## pc8 -0.041 0.089 -0.465 0.642
## pc9 -0.041 0.066 -0.618 0.537
## pc10 0.030 0.092 0.325 0.745
## Std.lv Std.all
##
## 0.091 0.091
##
## 0.094 0.094
##
## 0.033 0.033
##
## 0.044 0.044
##
## 0.025 0.025
##
## 0.000 0.030
## 0.597 0.008
## 2.011 0.028
## 0.491 0.006
## 1.176 0.013
## -1.482 -0.017
## -1.888 -0.023
## -1.338 -0.020
## 3.683 0.041
## 0.836 0.012
## -0.888 -0.010
##
## 0.000 0.009
## -1.559 -0.021
## 2.104 0.029
## -1.160 -0.014
## 1.779 0.020
## -2.437 -0.029
## 0.231 0.003
## -1.069 -0.016
## 1.366 0.015
## 0.228 0.003
## 0.232 0.003
##
## 0.000 0.011
## -1.220 -0.017
## 0.840 0.012
## 0.854 0.010
## 1.118 0.012
## -1.214 -0.014
## -0.728 -0.009
## -1.746 -0.025
## 0.115 0.001
## -1.068 -0.015
## 0.861 0.010
##
## 0.000 0.011
## -1.455 -0.020
## 1.017 0.014
## 1.676 0.020
## 0.953 0.011
## -0.889 -0.010
## -1.230 -0.015
## -2.203 -0.032
## -0.176 -0.002
## -1.516 -0.022
## -0.101 -0.001
##
## 0.000 0.024
## -1.823 -0.025
## -0.328 -0.005
## 0.394 0.005
## 0.669 0.007
## -0.119 -0.001
## 0.460 0.006
## -0.255 -0.004
## -0.311 -0.003
## -0.306 -0.004
## 0.226 0.003
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .Ext ~~
## .NDe 0.074 0.004 17.135 0.000
## .Int 0.093 0.005 19.517 0.000
## .Som 0.010 0.001 7.593 0.000
## .Det 0.028 0.003 9.407 0.000
## .NDe ~~
## .Int 0.060 0.004 16.650 0.000
## .Som 0.007 0.001 7.246 0.000
## .Det 0.018 0.002 8.438 0.000
## .Int ~~
## .Som 0.014 0.002 7.807 0.000
## .Det 0.032 0.003 11.017 0.000
## .Som ~~
## .Det 0.003 0.001 5.747 0.000
## Std.lv Std.all
##
## 0.696 0.696
## 0.534 0.534
## 0.348 0.348
## 0.490 0.490
##
## 0.594 0.594
## 0.395 0.395
## 0.552 0.552
##
## 0.497 0.497
## 0.600 0.600
##
## 0.372 0.372
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .CBCL_Q03_P 0.237 0.007 36.083 0.000
## .CBCL_Q07_P 0.201 0.005 39.286 0.000
## .CBCL_Q109_P 0.208 0.005 39.630 0.000
## .CBCL_Q15_P 0.009 0.002 5.721 0.000
## .CBCL_Q16_P 0.055 0.003 20.715 0.000
## .CBCL_Q19_P 0.180 0.006 29.527 0.000
## .CBCL_Q26_P 0.093 0.004 21.387 0.000
## .CBCL_Q27_P 0.160 0.005 30.289 0.000
## .CBCL_Q34_P 0.052 0.003 15.621 0.000
## .CBCL_Q37_P 0.024 0.002 12.164 0.000
## .CBCL_Q39_P 0.061 0.004 17.133 0.000
## .CBCL_Q43_P 0.148 0.005 32.758 0.000
## .CBCL_Q67_P 0.005 0.001 4.039 0.000
## .CBCL_Q68_P 0.085 0.004 21.885 0.000
## .CBCL_Q72_P 0.005 0.001 3.692 0.000
## .CBCL_Q74_P 0.227 0.006 37.280 0.000
## .CBCL_Q86_P 0.187 0.005 35.879 0.000
## .CBCL_Q87_P 0.134 0.004 30.116 0.000
## .CBCL_Q88_P 0.110 0.004 25.554 0.000
## .CBCL_Q89_P 0.029 0.003 10.346 0.000
## .CBCL_Q90_P 0.068 0.004 15.892 0.000
## .CBCL_Q94_P 0.090 0.004 22.006 0.000
## .CBCL_Q95_P 0.166 0.005 33.118 0.000
## .CBCL_Q96_P 0.007 0.002 4.808 0.000
## .Com1_Attack 0.049 0.002 20.586 0.000
## .Com2_Destroy 0.035 0.002 16.559 0.000
## .Com3_Disobeys 0.113 0.004 32.005 0.000
## .Com4_Steals 0.037 0.002 15.066 0.000
## .Com5_Peer 0.098 0.004 24.891 0.000
## .CBCL_Q01_P 0.164 0.005 30.321 0.000
## .CBCL_Q04_P 0.220 0.006 35.803 0.000
## .CBCL_Q09_P 0.201 0.006 32.895 0.000
## .CBCL_Q13_P 0.048 0.003 14.535 0.000
## .CBCL_Q17_P 0.212 0.006 34.253 0.000
## .CBCL_Q36_P 0.156 0.006 25.881 0.000
## .CBCL_Q46_P 0.112 0.006 20.127 0.000
## .CBCL_Q61_P 0.100 0.004 22.356 0.000
## .CBCL_Q62_P 0.111 0.005 21.849 0.000
## .CBCL_Q64_P 0.139 0.005 26.838 0.000
## .CBCL_Q66_P 0.069 0.004 15.471 0.000
## .CBCL_Q80_P 0.066 0.003 19.460 0.000
## .CBCL_Q85_P 0.055 0.003 17.012 0.000
## .CBCL_Q93_P 0.242 0.007 34.172 0.000
## .Com6_Distractd 0.183 0.006 30.652 0.000
## .CBCL_Q112_P 0.179 0.005 33.726 0.000
## .CBCL_Q12_P 0.112 0.005 22.210 0.000
## .CBCL_Q29_P 0.155 0.005 29.609 0.000
## .CBCL_Q30_P 0.043 0.003 13.202 0.000
## .CBCL_Q31_P 0.075 0.004 21.066 0.000
## .CBCL_Q32_P 0.248 0.007 36.735 0.000
## .CBCL_Q35_P 0.106 0.004 26.480 0.000
## .CBCL_Q45_P 0.132 0.005 28.798 0.000
## .CBCL_Q50_P 0.124 0.004 28.068 0.000
## .CBCL_Q52_P 0.067 0.003 19.716 0.000
## .CBCL_Q71_P 0.259 0.006 42.145 0.000
## .CBCL_Q51_P 0.040 0.003 13.160 0.000
## .CBCL_Q56A_P 0.146 0.005 27.894 0.000
## .CBCL_Q56B_P 0.195 0.006 32.351 0.000
## .CBCL_Q56C_P 0.072 0.004 19.973 0.000
## .CBCL_Q56D_P 0.042 0.004 9.607 0.000
## .CBCL_Q56E_P 0.156 0.007 23.547 0.000
## .CBCL_Q56F_P 0.122 0.006 21.531 0.000
## .CBCL_Q56G_P 0.039 0.003 14.683 0.000
## .CBCL_Q56H_P 0.031 0.003 9.057 0.000
## .CBCL_Q102_P 0.059 0.004 15.728 0.000
## .CBCL_Q111_P 0.040 0.002 17.307 0.000
## .CBCL_Q42_P 0.124 0.005 24.996 0.000
## .CBCL_Q65_P 0.065 0.004 16.582 0.000
## .CBCL_Q75_P 0.159 0.006 26.237 0.000
## .Ext 0.182 0.008 23.486 0.000
## .NDe 0.062 0.005 12.012 0.000
## .Int 0.167 0.008 21.269 0.000
## .Som 0.005 0.001 4.715 0.000
## .Det 0.017 0.003 6.317 0.000
## Std.lv Std.all
## 0.237 0.562
## 0.201 0.807
## 0.208 0.767
## 0.009 0.933
## 0.055 0.722
## 0.180 0.668
## 0.093 0.712
## 0.160 0.680
## 0.052 0.845
## 0.024 0.788
## 0.061 0.888
## 0.148 0.675
## 0.005 0.938
## 0.085 0.659
## 0.005 0.987
## 0.227 0.797
## 0.187 0.584
## 0.134 0.634
## 0.110 0.719
## 0.029 0.834
## 0.068 0.839
## 0.090 0.809
## 0.166 0.575
## 0.007 0.957
## 0.049 0.711
## 0.035 0.768
## 0.113 0.569
## 0.037 0.811
## 0.098 0.732
## 0.164 0.724
## 0.220 0.613
## 0.201 0.654
## 0.048 0.795
## 0.212 0.723
## 0.156 0.844
## 0.112 0.802
## 0.100 0.724
## 0.111 0.765
## 0.139 0.812
## 0.069 0.808
## 0.066 0.754
## 0.055 0.809
## 0.242 0.779
## 0.183 0.493
## 0.179 0.516
## 0.112 0.829
## 0.155 0.770
## 0.043 0.857
## 0.075 0.777
## 0.248 0.762
## 0.106 0.702
## 0.132 0.586
## 0.124 0.490
## 0.067 0.760
## 0.259 0.679
## 0.040 0.896
## 0.146 0.810
## 0.195 0.775
## 0.072 0.488
## 0.042 0.968
## 0.156 0.943
## 0.122 0.538
## 0.039 0.879
## 0.031 0.937
## 0.059 0.770
## 0.040 0.595
## 0.124 0.700
## 0.065 0.784
## 0.159 0.758
## 0.987 0.987
## 0.988 0.988
## 0.997 0.997
## 0.996 0.996
## 0.998 0.998
##
## R-Square:
## Estimate
## CBCL_Q03_P 0.438
## CBCL_Q07_P 0.193
## CBCL_Q109_P 0.233
## CBCL_Q15_P 0.067
## CBCL_Q16_P 0.278
## CBCL_Q19_P 0.332
## CBCL_Q26_P 0.288
## CBCL_Q27_P 0.320
## CBCL_Q34_P 0.155
## CBCL_Q37_P 0.212
## CBCL_Q39_P 0.112
## CBCL_Q43_P 0.325
## CBCL_Q67_P 0.062
## CBCL_Q68_P 0.341
## CBCL_Q72_P 0.013
## CBCL_Q74_P 0.203
## CBCL_Q86_P 0.416
## CBCL_Q87_P 0.366
## CBCL_Q88_P 0.281
## CBCL_Q89_P 0.166
## CBCL_Q90_P 0.161
## CBCL_Q94_P 0.191
## CBCL_Q95_P 0.425
## CBCL_Q96_P 0.043
## Com1_Attack 0.289
## Com2_Destroy 0.232
## Com3_Disobeys 0.431
## Com4_Steals 0.189
## Com5_Peer 0.268
## CBCL_Q01_P 0.276
## CBCL_Q04_P 0.387
## CBCL_Q09_P 0.346
## CBCL_Q13_P 0.205
## CBCL_Q17_P 0.277
## CBCL_Q36_P 0.156
## CBCL_Q46_P 0.198
## CBCL_Q61_P 0.276
## CBCL_Q62_P 0.235
## CBCL_Q64_P 0.188
## CBCL_Q66_P 0.192
## CBCL_Q80_P 0.246
## CBCL_Q85_P 0.191
## CBCL_Q93_P 0.221
## Com6_Distractd 0.507
## CBCL_Q112_P 0.484
## CBCL_Q12_P 0.171
## CBCL_Q29_P 0.230
## CBCL_Q30_P 0.143
## CBCL_Q31_P 0.223
## CBCL_Q32_P 0.238
## CBCL_Q35_P 0.298
## CBCL_Q45_P 0.414
## CBCL_Q50_P 0.510
## CBCL_Q52_P 0.240
## CBCL_Q71_P 0.321
## CBCL_Q51_P 0.104
## CBCL_Q56A_P 0.190
## CBCL_Q56B_P 0.225
## CBCL_Q56C_P 0.512
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.057
## CBCL_Q56F_P 0.462
## CBCL_Q56G_P 0.121
## CBCL_Q56H_P 0.063
## CBCL_Q102_P 0.230
## CBCL_Q111_P 0.405
## CBCL_Q42_P 0.300
## CBCL_Q65_P 0.216
## CBCL_Q75_P 0.242
## Ext 0.013
## NDe 0.012
## Int 0.003
## Som 0.004
## Det 0.002ADHD_PFac1stOrder.Fit.p5e_2 <- lavaan::standardizedSolution(ADHD_PFac1stOrder.Fit) %>%
filter(op == "~") %>%
filter(str_detect(rhs, "score"))
ADHD_PFac1stOrder.Fit.p5e_2 %>% knitr::kable()| lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper |
|---|---|---|---|---|---|---|---|---|
| Ext | ~ | ADHDp5e_2_score | 0.0913173 | 0.0151710 | 6.019190 | 0.0000000 | 0.0615826 | 0.1210520 |
| NDe | ~ | ADHDp5e_2_score | 0.0936002 | 0.0162733 | 5.751749 | 0.0000000 | 0.0617050 | 0.1254954 |
| Int | ~ | ADHDp5e_2_score | 0.0325620 | 0.0163235 | 1.994793 | 0.0460655 | 0.0005685 | 0.0645554 |
| Som | ~ | ADHDp5e_2_score | 0.0441703 | 0.0168322 | 2.624153 | 0.0086865 | 0.0111798 | 0.0771609 |
| Det | ~ | ADHDp5e_2_score | 0.0248888 | 0.0196536 | 1.266378 | 0.2053777 | -0.0136314 | 0.0634091 |
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 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
NDe ~ cNDe*wrayMDDp5e_2_score
NDe ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
Int ~ cInt*wrayMDDp5e_2_score
Int ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
Som ~ cSom*wrayMDDp5e_2_score
Som ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
Det ~ cDet*wrayMDDp5e_2_score
Det ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
# 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 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
BIS ~ wrayMDDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
# 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)
propCogGExt := indirectCogGExt/totalExt
propBISExt := indirectBISExt/totalExt
propSumIndirectExt := sumIndirectExt/totalExt
totalNDe := cNDe + (aG*bGNDe) + (aBIS*bBISNDe)
propCogGNDe := indirectCogGNDe/totalNDe
propBISNDe := indirectBISNDe/totalNDe
propSumIndirectNDe := sumIndirectNDe/totalNDe
totalInt := cInt + (aG*bGInt) + (aBIS*bBISInt)
propCogGInt := indirectCogGInt/totalInt
propBISInt := indirectBISInt/totalInt
propSumIndirectInt := sumIndirectInt/totalInt
totalSom := cSom + (aG*bGSom) + (aBIS*bBISSom)
propCogGSom := indirectCogGSom/totalSom
propBISSom := indirectBISSom/totalSom
propSumIndirectSom := sumIndirectSom/totalSom
totalDet := cDet + (aG*bGDet) + (aBIS*bBISDet)
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)## lavaan 0.6-6 ended normally after 705 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 275
##
## Used Total
## Number of observations 4129 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 22933.395 16576.450
## Degrees of freedom 4207 4207
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.383
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 202647.687 146785.522
## Degrees of freedom 4399 4399
## P-value 0.000 0.000
## Scaling correction factor 1.381
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.906 0.913
## Tucker-Lewis Index (TLI) 0.901 0.909
##
## Robust Comparative Fit Index (CFI) 0.913
## Robust Tucker-Lewis Index (TLI) 0.909
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -144020.740 -144020.740
## Scaling correction factor 4.434
## for the MLR correction
## Loglikelihood unrestricted model (H1) -132554.043 -132554.043
## Scaling correction factor 1.571
## for the MLR correction
##
## Akaike (AIC) 288591.481 288591.481
## Bayesian (BIC) 290331.073 290331.073
## Sample-size adjusted Bayesian (BIC) 289457.241 289457.241
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.033 0.027
## 90 Percent confidence interval - lower 0.032 0.026
## 90 Percent confidence interval - upper 0.033 0.027
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.031
## 90 Percent confidence interval - lower 0.031
## 90 Percent confidence interval - upper 0.032
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.037 0.037
##
## 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 0.512 0.026 19.834 0.000
## CBCL_Q109_P 0.585 0.024 24.212 0.000
## CBCL_Q15_P 0.065 0.012 5.225 0.000
## CBCL_Q16_P 0.337 0.023 14.870 0.000
## CBCL_Q19_P 0.689 0.026 26.970 0.000
## CBCL_Q26_P 0.458 0.026 17.894 0.000
## CBCL_Q27_P 0.629 0.025 24.939 0.000
## CBCL_Q34_P 0.234 0.022 10.492 0.000
## CBCL_Q37_P 0.184 0.021 8.668 0.000
## CBCL_Q39_P 0.203 0.020 10.033 0.000
## CBCL_Q43_P 0.618 0.025 24.965 0.000
## CBCL_Q67_P 0.043 0.013 3.395 0.001
## CBCL_Q68_P 0.494 0.025 19.872 0.000
## CBCL_Q72_P 0.019 0.006 3.054 0.002
## CBCL_Q74_P 0.562 0.027 20.599 0.000
## CBCL_Q86_P 0.859 0.022 38.451 0.000
## CBCL_Q87_P 0.657 0.026 25.198 0.000
## CBCL_Q88_P 0.485 0.026 18.377 0.000
## CBCL_Q89_P 0.177 0.021 8.297 0.000
## CBCL_Q90_P 0.266 0.025 10.601 0.000
## CBCL_Q94_P 0.334 0.024 13.734 0.000
## CBCL_Q95_P 0.826 0.023 35.838 0.000
## CBCL_Q96_P 0.044 0.014 3.041 0.002
## Com1_Attack 0.328 0.023 14.363 0.000
## Com2_Destroy 0.242 0.021 11.656 0.000
## Com3_Disobeys 0.684 0.021 33.054 0.000
## Com4_Steals 0.219 0.021 10.497 0.000
## Com5_Peer 0.438 0.023 19.053 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.496 0.072 20.826 0.000
## CBCL_Q09_P 1.308 0.067 19.493 0.000
## CBCL_Q13_P 0.450 0.040 11.274 0.000
## CBCL_Q17_P 1.147 0.064 17.844 0.000
## CBCL_Q36_P 0.661 0.046 14.437 0.000
## CBCL_Q46_P 0.665 0.049 13.461 0.000
## CBCL_Q61_P 0.797 0.046 17.495 0.000
## CBCL_Q62_P 0.728 0.044 16.395 0.000
## CBCL_Q64_P 0.716 0.043 16.740 0.000
## CBCL_Q66_P 0.524 0.046 11.449 0.000
## CBCL_Q80_P 0.601 0.044 13.689 0.000
## CBCL_Q85_P 0.458 0.037 12.531 0.000
## CBCL_Q93_P 1.044 0.059 17.708 0.000
## Com6_Distractd 1.748 0.077 22.558 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.374 0.027 13.776 0.000
## CBCL_Q29_P 0.536 0.027 19.893 0.000
## CBCL_Q30_P 0.206 0.022 9.254 0.000
## CBCL_Q31_P 0.358 0.025 14.313 0.000
## CBCL_Q32_P 0.675 0.030 22.213 0.000
## CBCL_Q35_P 0.520 0.027 19.235 0.000
## CBCL_Q45_P 0.737 0.025 29.603 0.000
## CBCL_Q50_P 0.877 0.022 39.397 0.000
## CBCL_Q52_P 0.351 0.024 14.465 0.000
## CBCL_Q71_P 0.846 0.029 28.836 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.746 0.319 8.604 0.000
## CBCL_Q56B_P 3.529 0.393 8.987 0.000
## CBCL_Q56C_P 4.107 0.481 8.538 0.000
## CBCL_Q56D_P 0.548 0.102 5.355 0.000
## CBCL_Q56E_P 1.440 0.213 6.772 0.000
## CBCL_Q56F_P 4.836 0.554 8.731 0.000
## CBCL_Q56G_P 1.120 0.168 6.649 0.000
## CBCL_Q56H_P 0.689 0.138 4.990 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.219 0.094 12.906 0.000
## CBCL_Q42_P 1.724 0.147 11.737 0.000
## CBCL_Q65_P 1.026 0.109 9.397 0.000
## CBCL_Q75_P 1.693 0.164 10.298 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.240 0.050 24.909 0.000
## NIHTBX_PATTERN 1.010 0.046 21.827 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.080 0.040 26.845 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.044 0.039 26.730 0.000
## NIHTBX_LIST_UN 1.129 0.055 20.495 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.171 0.054 21.879 0.000
## g =~
## EF 0.351 0.018 19.991 0.000
## verbal 0.519 0.018 28.623 0.000
## memory 0.458 0.016 28.537 0.000
## spatial 0.475 0.017 28.079 0.000
## BIS =~
## BISBAS2_Y 1.000
## BISBAS3_Y 1.103 0.079 13.982 0.000
## BISBAS4_Y 1.150 0.081 14.274 0.000
## BISBAS6_Y 1.018 0.036 28.566 0.000
## Std.lv Std.all
##
## 0.428 0.662
## 0.219 0.437
## 0.250 0.485
## 0.028 0.269
## 0.144 0.523
## 0.295 0.572
## 0.196 0.538
## 0.269 0.560
## 0.100 0.402
## 0.079 0.455
## 0.087 0.327
## 0.265 0.571
## 0.019 0.261
## 0.211 0.587
## 0.008 0.120
## 0.241 0.450
## 0.368 0.651
## 0.281 0.609
## 0.208 0.534
## 0.076 0.402
## 0.114 0.402
## 0.143 0.435
## 0.354 0.655
## 0.019 0.214
## 0.141 0.536
## 0.103 0.479
## 0.293 0.659
## 0.094 0.436
## 0.188 0.518
##
## 0.249 0.530
## 0.372 0.621
## 0.326 0.588
## 0.112 0.456
## 0.286 0.528
## 0.164 0.384
## 0.166 0.448
## 0.198 0.536
## 0.181 0.478
## 0.178 0.434
## 0.130 0.448
## 0.150 0.507
## 0.114 0.442
## 0.260 0.467
## 0.435 0.715
##
## 0.411 0.699
## 0.154 0.419
## 0.220 0.488
## 0.085 0.382
## 0.147 0.470
## 0.278 0.486
## 0.214 0.550
## 0.303 0.640
## 0.361 0.714
## 0.144 0.488
## 0.348 0.563
##
## 0.067 0.317
## 0.185 0.434
## 0.238 0.473
## 0.276 0.718
## 0.037 0.180
## 0.097 0.238
## 0.326 0.679
## 0.075 0.356
## 0.046 0.251
##
## 0.133 0.483
## 0.162 0.630
## 0.230 0.549
## 0.137 0.472
## 0.226 0.493
##
## 0.590 0.593
## 0.731 0.729
## 0.595 0.597
##
## 0.682 0.679
## 0.736 0.734
##
## 0.548 0.548
## 0.572 0.573
## 0.618 0.619
##
## 0.486 0.488
## 0.569 0.568
##
## 0.601 0.601
## 0.768 0.768
## 0.843 0.843
## 0.984 0.984
##
## 0.554 0.555
## 0.611 0.612
## 0.637 0.639
## 0.564 0.567
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## Ext ~
## wMDD5_ (cExt) 0.024 0.007 3.603 0.000
## wMDD5_ 0.000 0.000 0.828 0.408
## pc1 0.406 0.517 0.785 0.433
## pc2 0.139 0.507 0.274 0.784
## pc3 0.478 0.341 1.404 0.160
## pc4 0.360 0.343 1.048 0.294
## pc5 -0.577 0.325 -1.774 0.076
## pc6 -0.755 0.365 -2.069 0.039
## pc7 -0.355 0.234 -1.516 0.130
## pc8 1.652 0.306 5.402 0.000
## pc9 0.441 0.252 1.751 0.080
## pc10 -0.498 0.465 -1.072 0.284
## NDe ~
## wMDD5_ (cNDe) 0.015 0.004 3.636 0.000
## wMDD5_ -0.000 0.000 -0.389 0.698
## pc1 -0.297 0.284 -1.044 0.297
## pc2 0.125 0.266 0.472 0.637
## pc3 -0.034 0.206 -0.164 0.870
## pc4 0.329 0.210 1.564 0.118
## pc5 -0.610 0.245 -2.488 0.013
## pc6 0.064 0.273 0.235 0.814
## pc7 -0.161 0.127 -1.272 0.203
## pc8 0.345 0.155 2.229 0.026
## pc9 0.081 0.124 0.649 0.516
## pc10 0.011 0.156 0.068 0.946
## Int ~
## wMDD5_ (cInt) 0.026 0.006 4.046 0.000
## wMDD5_ -0.000 0.000 -0.507 0.612
## pc1 -0.566 0.518 -1.092 0.275
## pc2 0.194 0.465 0.417 0.676
## pc3 0.579 0.346 1.674 0.094
## pc4 0.332 0.408 0.816 0.415
## pc5 -0.660 0.435 -1.519 0.129
## pc6 -0.257 0.523 -0.491 0.623
## pc7 -0.593 0.234 -2.535 0.011
## pc8 -0.122 0.467 -0.260 0.795
## pc9 -0.432 0.235 -1.835 0.066
## pc10 0.338 0.301 1.123 0.261
## Som ~
## wMDD5_ (cSom) 0.002 0.001 2.027 0.043
## wMDD5_ -0.000 0.000 -0.188 0.851
## pc1 -0.083 0.087 -0.954 0.340
## pc2 0.023 0.082 0.279 0.780
## pc3 0.125 0.066 1.894 0.058
## pc4 0.059 0.077 0.760 0.447
## pc5 -0.079 0.057 -1.384 0.166
## pc6 -0.084 0.069 -1.220 0.223
## pc7 -0.132 0.051 -2.598 0.009
## pc8 -0.033 0.060 -0.555 0.579
## pc9 -0.106 0.049 -2.142 0.032
## pc10 0.003 0.063 0.050 0.960
## Det ~
## wMDD5_ (cDet) 0.015 0.003 5.200 0.000
## wMDD5_ 0.000 0.000 0.635 0.526
## pc1 -0.362 0.175 -2.065 0.039
## pc2 -0.105 0.183 -0.573 0.567
## pc3 0.154 0.119 1.298 0.194
## pc4 0.013 0.106 0.122 0.903
## pc5 -0.021 0.115 -0.185 0.854
## pc6 0.104 0.123 0.847 0.397
## pc7 -0.024 0.069 -0.353 0.724
## pc8 -0.059 0.082 -0.720 0.472
## pc9 -0.027 0.069 -0.398 0.691
## pc10 0.027 0.077 0.346 0.729
## Ext ~
## g (bGEx) -0.082 0.009 -8.899 0.000
## BIS (bBISE) 0.030 0.018 1.673 0.094
## NDe ~
## g (bGND) -0.062 0.006 -9.743 0.000
## BIS (bBISN) 0.023 0.010 2.218 0.027
## Int ~
## g (bGIn) -0.023 0.009 -2.558 0.011
## BIS (bBISI) 0.145 0.018 7.890 0.000
## Som ~
## g (bGSm) -0.004 0.001 -2.489 0.013
## BIS (bBISS) 0.007 0.003 2.415 0.016
## Det ~
## g (bGDt) -0.006 0.003 -1.927 0.054
## BIS (bBISD) 0.016 0.006 2.630 0.009
## g ~
## wMDD5_ (aG) -0.046 0.019 -2.400 0.016
## BIS ~
## wMDD5_ (aBIS) 0.023 0.010 2.193 0.028
## g ~
## wMDD5_ -0.000 0.000 -1.076 0.282
## pc1 2.508 1.334 1.880 0.060
## pc2 -6.509 1.280 -5.086 0.000
## pc3 4.386 0.848 5.175 0.000
## pc4 -1.920 0.809 -2.374 0.018
## pc5 1.866 0.825 2.261 0.024
## pc6 0.132 1.047 0.126 0.900
## pc7 1.733 0.626 2.769 0.006
## pc8 1.392 0.991 1.405 0.160
## pc9 -0.181 0.823 -0.220 0.826
## pc10 -1.862 0.957 -1.946 0.052
## BIS ~
## wMDD5_ 0.000 0.000 0.588 0.557
## pc1 -0.133 0.761 -0.174 0.862
## pc2 -0.592 0.682 -0.868 0.385
## pc3 -1.189 0.535 -2.222 0.026
## pc4 0.861 0.554 1.555 0.120
## pc5 0.682 0.465 1.466 0.143
## pc6 -0.292 0.441 -0.662 0.508
## pc7 -0.573 0.286 -2.001 0.045
## pc8 1.172 0.464 2.525 0.012
## pc9 -0.061 0.300 -0.204 0.839
## pc10 0.139 0.367 0.378 0.705
## Std.lv Std.all
##
## 0.056 0.057
## 0.000 0.015
## 0.948 0.013
## 0.325 0.004
## 1.116 0.013
## 0.840 0.010
## -1.347 -0.016
## -1.763 -0.022
## -0.829 -0.012
## 3.856 0.044
## 1.030 0.015
## -1.163 -0.014
##
## 0.061 0.062
## -0.000 -0.007
## -1.191 -0.016
## 0.504 0.007
## -0.136 -0.002
## 1.320 0.015
## -2.448 -0.029
## 0.258 0.003
## -0.646 -0.010
## 1.384 0.016
## 0.324 0.005
## 0.043 0.001
##
## 0.064 0.064
## -0.000 -0.010
## -1.377 -0.019
## 0.472 0.007
## 1.407 0.017
## 0.809 0.009
## -1.606 -0.019
## -0.624 -0.008
## -1.441 -0.022
## -0.296 -0.003
## -1.051 -0.016
## 0.822 0.010
##
## 0.036 0.036
## -0.000 -0.004
## -1.228 -0.017
## 0.339 0.005
## 1.860 0.022
## 0.872 0.010
## -1.180 -0.014
## -1.250 -0.015
## -1.964 -0.030
## -0.495 -0.006
## -1.573 -0.023
## 0.047 0.001
##
## 0.110 0.110
## 0.000 0.012
## -2.712 -0.037
## -0.786 -0.011
## 1.157 0.014
## 0.097 0.001
## -0.159 -0.002
## 0.782 0.010
## -0.181 -0.003
## -0.440 -0.005
## -0.206 -0.003
## 0.200 0.002
##
## -0.194 -0.194
## 0.038 0.038
##
## -0.252 -0.252
## 0.051 0.051
##
## -0.056 -0.056
## 0.195 0.195
##
## -0.055 -0.055
## 0.056 0.056
##
## -0.047 -0.047
## 0.066 0.066
##
## -0.046 -0.046
##
## 0.041 0.041
##
## -0.000 -0.022
## 2.487 0.034
## -6.456 -0.089
## 4.350 0.052
## -1.904 -0.022
## 1.851 0.022
## 0.131 0.002
## 1.719 0.026
## 1.381 0.016
## -0.179 -0.003
## -1.847 -0.022
##
## 0.000 0.012
## -0.240 -0.003
## -1.069 -0.015
## -2.146 -0.026
## 1.554 0.018
## 1.232 0.015
## -0.527 -0.006
## -1.034 -0.016
## 2.115 0.024
## -0.110 -0.002
## 0.250 0.003
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .g ~~
## .BIS -0.018 0.013 -1.362 0.173
## .Ext ~~
## .NDe 0.069 0.004 16.327 0.000
## .Int 0.090 0.005 19.108 0.000
## .Som 0.010 0.001 7.324 0.000
## .Det 0.027 0.003 9.277 0.000
## .NDe ~~
## .Int 0.058 0.004 16.253 0.000
## .Som 0.006 0.001 6.904 0.000
## .Det 0.018 0.002 8.173 0.000
## .Int ~~
## .Som 0.013 0.002 7.406 0.000
## .Det 0.032 0.003 10.765 0.000
## .Som ~~
## .Det 0.003 0.001 5.574 0.000
## Std.lv Std.all
##
## -0.033 -0.033
##
## 0.686 0.686
## 0.540 0.540
## 0.345 0.345
## 0.496 0.496
##
## 0.601 0.601
## 0.400 0.400
## 0.559 0.559
##
## 0.499 0.499
## 0.600 0.600
##
## 0.382 0.382
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .g 1.000
## .CBCL_Q03_P 0.235 0.007 35.100 0.000
## .CBCL_Q07_P 0.203 0.005 37.947 0.000
## .CBCL_Q109_P 0.204 0.005 37.896 0.000
## .CBCL_Q15_P 0.010 0.002 5.652 0.000
## .CBCL_Q16_P 0.055 0.003 19.979 0.000
## .CBCL_Q19_P 0.179 0.006 28.297 0.000
## .CBCL_Q26_P 0.094 0.005 20.545 0.000
## .CBCL_Q27_P 0.159 0.006 28.831 0.000
## .CBCL_Q34_P 0.052 0.003 15.084 0.000
## .CBCL_Q37_P 0.024 0.002 11.839 0.000
## .CBCL_Q39_P 0.063 0.004 16.589 0.000
## .CBCL_Q43_P 0.145 0.005 31.657 0.000
## .CBCL_Q67_P 0.005 0.001 3.934 0.000
## .CBCL_Q68_P 0.085 0.004 21.155 0.000
## .CBCL_Q72_P 0.004 0.001 3.316 0.001
## .CBCL_Q74_P 0.228 0.006 35.695 0.000
## .CBCL_Q86_P 0.184 0.005 34.562 0.000
## .CBCL_Q87_P 0.134 0.005 28.753 0.000
## .CBCL_Q88_P 0.108 0.004 24.592 0.000
## .CBCL_Q89_P 0.030 0.003 10.043 0.000
## .CBCL_Q90_P 0.068 0.004 15.442 0.000
## .CBCL_Q94_P 0.088 0.004 21.435 0.000
## .CBCL_Q95_P 0.166 0.005 32.017 0.000
## .CBCL_Q96_P 0.007 0.002 4.623 0.000
## .Com1_Attack 0.049 0.002 19.742 0.000
## .Com2_Destroy 0.036 0.002 16.073 0.000
## .Com3_Disobeys 0.112 0.004 30.682 0.000
## .Com4_Steals 0.037 0.003 14.915 0.000
## .Com5_Peer 0.096 0.004 23.671 0.000
## .CBCL_Q01_P 0.159 0.005 29.085 0.000
## .CBCL_Q04_P 0.221 0.006 34.440 0.000
## .CBCL_Q09_P 0.201 0.006 31.886 0.000
## .CBCL_Q13_P 0.048 0.003 13.849 0.000
## .CBCL_Q17_P 0.211 0.006 32.868 0.000
## .CBCL_Q36_P 0.156 0.006 24.804 0.000
## .CBCL_Q46_P 0.109 0.006 19.601 0.000
## .CBCL_Q61_P 0.098 0.005 21.438 0.000
## .CBCL_Q62_P 0.111 0.005 21.193 0.000
## .CBCL_Q64_P 0.137 0.005 25.980 0.000
## .CBCL_Q66_P 0.068 0.005 15.037 0.000
## .CBCL_Q80_P 0.065 0.003 18.717 0.000
## .CBCL_Q85_P 0.054 0.003 16.408 0.000
## .CBCL_Q93_P 0.242 0.007 33.229 0.000
## .Com6_Distractd 0.181 0.006 29.059 0.000
## .CBCL_Q112_P 0.177 0.005 32.263 0.000
## .CBCL_Q12_P 0.111 0.005 21.361 0.000
## .CBCL_Q29_P 0.155 0.005 28.302 0.000
## .CBCL_Q30_P 0.042 0.003 12.521 0.000
## .CBCL_Q31_P 0.076 0.004 20.281 0.000
## .CBCL_Q32_P 0.249 0.007 35.281 0.000
## .CBCL_Q35_P 0.105 0.004 25.772 0.000
## .CBCL_Q45_P 0.132 0.005 27.965 0.000
## .CBCL_Q50_P 0.125 0.005 26.996 0.000
## .CBCL_Q52_P 0.067 0.003 19.187 0.000
## .CBCL_Q71_P 0.260 0.006 40.462 0.000
## .CBCL_Q51_P 0.041 0.003 12.581 0.000
## .CBCL_Q56A_P 0.147 0.005 26.936 0.000
## .CBCL_Q56B_P 0.196 0.006 31.487 0.000
## .CBCL_Q56C_P 0.072 0.004 19.216 0.000
## .CBCL_Q56D_P 0.041 0.004 9.260 0.000
## .CBCL_Q56E_P 0.157 0.007 22.933 0.000
## .CBCL_Q56F_P 0.124 0.006 20.668 0.000
## .CBCL_Q56G_P 0.039 0.003 14.255 0.000
## .CBCL_Q56H_P 0.032 0.004 8.785 0.000
## .CBCL_Q102_P 0.059 0.004 14.991 0.000
## .CBCL_Q111_P 0.040 0.002 16.785 0.000
## .CBCL_Q42_P 0.122 0.005 24.266 0.000
## .CBCL_Q65_P 0.065 0.004 16.027 0.000
## .CBCL_Q75_P 0.159 0.006 25.279 0.000
## .NIHTBX_FLANKER 0.642 0.022 28.543 0.000
## .NIHTBX_CARDSOR 0.470 0.024 19.438 0.000
## .NIHTBX_PATTERN 0.640 0.021 30.184 0.000
## .NIHTBX_PICVOCA 0.542 0.023 23.421 0.000
## .NIHTBX_READING 0.464 0.023 20.110 0.000
## .NIHTBX_PICTURE 0.700 0.020 35.195 0.000
## .PEA_RAVLT_LD_T 0.669 0.022 31.053 0.000
## .NIHTBX_LIST_UN 0.617 0.021 28.823 0.000
## .LMT_SCR_PERC_C 0.757 0.021 36.133 0.000
## .PEA_WISCV_TRS 0.679 0.023 29.635 0.000
## .BISBAS2_Y 0.690 0.027 25.721 0.000
## .BISBAS3_Y 0.624 0.025 24.667 0.000
## .BISBAS4_Y 0.588 0.027 22.026 0.000
## .BISBAS6_Y 0.672 0.026 25.911 0.000
## .Ext 0.175 0.008 22.432 0.000
## .NDe 0.057 0.005 11.627 0.000
## .Int 0.161 0.008 20.822 0.000
## .Som 0.004 0.001 4.480 0.000
## .Det 0.017 0.003 6.152 0.000
## .EF 0.222 0.016 14.278 0.000
## .verbal 0.191 0.016 11.918 0.000
## .memory 0.087 0.012 6.973 0.000
## .spatial 0.008 0.012 0.636 0.525
## .BIS 0.305 0.027 11.186 0.000
## Std.lv Std.all
## 0.984 0.984
## 0.235 0.561
## 0.203 0.809
## 0.204 0.765
## 0.010 0.928
## 0.055 0.726
## 0.179 0.673
## 0.094 0.710
## 0.159 0.687
## 0.052 0.838
## 0.024 0.793
## 0.063 0.893
## 0.145 0.674
## 0.005 0.932
## 0.085 0.655
## 0.004 0.986
## 0.228 0.797
## 0.184 0.576
## 0.134 0.629
## 0.108 0.715
## 0.030 0.838
## 0.068 0.839
## 0.088 0.811
## 0.166 0.571
## 0.007 0.954
## 0.049 0.713
## 0.036 0.770
## 0.112 0.566
## 0.037 0.810
## 0.096 0.731
## 0.159 0.719
## 0.221 0.615
## 0.201 0.654
## 0.048 0.792
## 0.211 0.721
## 0.156 0.852
## 0.109 0.799
## 0.098 0.713
## 0.111 0.772
## 0.137 0.812
## 0.068 0.799
## 0.065 0.743
## 0.054 0.805
## 0.242 0.782
## 0.181 0.489
## 0.177 0.511
## 0.111 0.824
## 0.155 0.762
## 0.042 0.854
## 0.076 0.779
## 0.249 0.764
## 0.105 0.697
## 0.132 0.590
## 0.125 0.491
## 0.067 0.762
## 0.260 0.682
## 0.041 0.900
## 0.147 0.812
## 0.196 0.776
## 0.072 0.485
## 0.041 0.968
## 0.157 0.943
## 0.124 0.538
## 0.039 0.873
## 0.032 0.937
## 0.059 0.767
## 0.040 0.604
## 0.122 0.698
## 0.065 0.777
## 0.159 0.757
## 0.642 0.649
## 0.470 0.468
## 0.640 0.644
## 0.542 0.538
## 0.464 0.461
## 0.700 0.700
## 0.669 0.672
## 0.617 0.617
## 0.757 0.762
## 0.679 0.677
## 0.690 0.692
## 0.624 0.626
## 0.588 0.592
## 0.672 0.679
## 0.953 0.953
## 0.925 0.925
## 0.951 0.951
## 0.990 0.990
## 0.979 0.979
## 0.639 0.639
## 0.410 0.410
## 0.289 0.289
## 0.032 0.032
## 0.996 0.996
##
## R-Square:
## Estimate
## g 0.016
## CBCL_Q03_P 0.439
## CBCL_Q07_P 0.191
## CBCL_Q109_P 0.235
## CBCL_Q15_P 0.072
## CBCL_Q16_P 0.274
## CBCL_Q19_P 0.327
## CBCL_Q26_P 0.290
## CBCL_Q27_P 0.313
## CBCL_Q34_P 0.162
## CBCL_Q37_P 0.207
## CBCL_Q39_P 0.107
## CBCL_Q43_P 0.326
## CBCL_Q67_P 0.068
## CBCL_Q68_P 0.345
## CBCL_Q72_P 0.014
## CBCL_Q74_P 0.203
## CBCL_Q86_P 0.424
## CBCL_Q87_P 0.371
## CBCL_Q88_P 0.285
## CBCL_Q89_P 0.162
## CBCL_Q90_P 0.161
## CBCL_Q94_P 0.189
## CBCL_Q95_P 0.429
## CBCL_Q96_P 0.046
## Com1_Attack 0.287
## Com2_Destroy 0.230
## Com3_Disobeys 0.434
## Com4_Steals 0.190
## Com5_Peer 0.269
## CBCL_Q01_P 0.281
## CBCL_Q04_P 0.385
## CBCL_Q09_P 0.346
## CBCL_Q13_P 0.208
## CBCL_Q17_P 0.279
## CBCL_Q36_P 0.148
## CBCL_Q46_P 0.201
## CBCL_Q61_P 0.287
## CBCL_Q62_P 0.228
## CBCL_Q64_P 0.188
## CBCL_Q66_P 0.201
## CBCL_Q80_P 0.257
## CBCL_Q85_P 0.195
## CBCL_Q93_P 0.218
## Com6_Distractd 0.511
## CBCL_Q112_P 0.489
## CBCL_Q12_P 0.176
## CBCL_Q29_P 0.238
## CBCL_Q30_P 0.146
## CBCL_Q31_P 0.221
## CBCL_Q32_P 0.236
## CBCL_Q35_P 0.303
## CBCL_Q45_P 0.410
## CBCL_Q50_P 0.509
## CBCL_Q52_P 0.238
## CBCL_Q71_P 0.318
## CBCL_Q51_P 0.100
## CBCL_Q56A_P 0.188
## CBCL_Q56B_P 0.224
## CBCL_Q56C_P 0.515
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.057
## CBCL_Q56F_P 0.462
## CBCL_Q56G_P 0.127
## CBCL_Q56H_P 0.063
## CBCL_Q102_P 0.233
## CBCL_Q111_P 0.396
## CBCL_Q42_P 0.302
## CBCL_Q65_P 0.223
## CBCL_Q75_P 0.243
## NIHTBX_FLANKER 0.351
## NIHTBX_CARDSOR 0.532
## NIHTBX_PATTERN 0.356
## NIHTBX_PICVOCA 0.462
## NIHTBX_READING 0.539
## NIHTBX_PICTURE 0.300
## PEA_RAVLT_LD_T 0.328
## NIHTBX_LIST_UN 0.383
## LMT_SCR_PERC_C 0.238
## PEA_WISCV_TRS 0.323
## BISBAS2_Y 0.308
## BISBAS3_Y 0.374
## BISBAS4_Y 0.408
## BISBAS6_Y 0.321
## Ext 0.047
## NDe 0.075
## Int 0.049
## Som 0.010
## Det 0.021
## EF 0.361
## verbal 0.590
## memory 0.711
## spatial 0.968
## BIS 0.004
##
## Defined Parameters:
## Estimate Std.Err z-value P(>|z|)
## indirectCgGExt 0.004 0.002 2.324 0.020
## indirectBISExt 0.001 0.001 1.342 0.180
## sumIndirectExt 0.004 0.002 2.621 0.009
## indirectCogGND 0.003 0.001 2.326 0.020
## indirectBISNDe 0.001 0.000 1.602 0.109
## sumIndirectNDe 0.003 0.001 2.647 0.008
## indirectCgGInt 0.001 0.001 1.727 0.084
## indirectBISInt 0.003 0.002 2.139 0.032
## sumIndirectInt 0.004 0.002 2.611 0.009
## indirectCogGSm 0.000 0.000 1.752 0.080
## indirectBISSom 0.000 0.000 1.637 0.102
## sumIndirectSom 0.000 0.000 2.402 0.016
## indirectCogGDt 0.000 0.000 1.505 0.132
## indirectBISDet 0.000 0.000 1.692 0.091
## sumIndirectDet 0.001 0.000 2.228 0.026
## directExt 0.024 0.007 3.603 0.000
## directNDe 0.015 0.004 3.636 0.000
## directInt 0.026 0.006 4.046 0.000
## directSom 0.002 0.001 2.027 0.043
## directDet 0.015 0.003 5.200 0.000
## totalExt 0.029 0.007 4.258 0.000
## propCogGExt 0.133 0.061 2.170 0.030
## propBISExt 0.024 0.018 1.289 0.197
## prpSmIndrctExt 0.156 0.066 2.386 0.017
## totalNDe 0.019 0.004 4.344 0.000
## propCogGNDe 0.154 0.069 2.244 0.025
## propBISNDe 0.028 0.018 1.569 0.117
## propSmIndrctND 0.182 0.072 2.524 0.012
## totalInt 0.031 0.006 4.751 0.000
## propCogGInt 0.035 0.021 1.620 0.105
## propBISInt 0.108 0.053 2.041 0.041
## prpSmIndrctInt 0.143 0.060 2.397 0.017
## totalSom 0.003 0.001 2.277 0.023
## propCogGSom 0.061 0.043 1.439 0.150
## propBISSom 0.055 0.040 1.401 0.161
## propSmIndrctSm 0.117 0.066 1.766 0.077
## totalDet 0.015 0.003 5.384 0.000
## propCogGDet 0.019 0.013 1.490 0.136
## propBISDet 0.024 0.014 1.659 0.097
## propSmIndrctDt 0.042 0.020 2.166 0.030
## Std.lv Std.all
## 0.009 0.009
## 0.002 0.002
## 0.010 0.010
## 0.012 0.012
## 0.002 0.002
## 0.014 0.014
## 0.003 0.003
## 0.008 0.008
## 0.011 0.011
## 0.003 0.003
## 0.002 0.002
## 0.005 0.005
## 0.002 0.002
## 0.003 0.003
## 0.005 0.005
## 0.056 0.057
## 0.061 0.062
## 0.064 0.064
## 0.036 0.036
## 0.110 0.110
## 0.067 0.067
## 0.133 0.133
## 0.024 0.024
## 0.156 0.156
## 0.075 0.075
## 0.154 0.154
## 0.028 0.028
## 0.182 0.182
## 0.074 0.074
## 0.035 0.035
## 0.108 0.108
## 0.143 0.143
## 0.041 0.041
## 0.061 0.061
## 0.055 0.055
## 0.117 0.117
## 0.115 0.115
## 0.019 0.019
## 0.024 0.024
## 0.042 0.042MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 <- 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"))
knitr::kable(MDD_BIS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2, format = "html", row.names = TRUE) | lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Ext | ~ | wrayMDDp5e_2_score | 0.0565024 | 0.0156400 | 3.612677 | 0.0003031 | 0.0258485 | 0.0871563 |
| 2 | NDe | ~ | wrayMDDp5e_2_score | 0.0615253 | 0.0162580 | 3.784314 | 0.0001541 | 0.0296603 | 0.0933904 |
| 3 | Int | ~ | wrayMDDp5e_2_score | 0.0637426 | 0.0156751 | 4.066498 | 0.0000477 | 0.0330201 | 0.0944652 |
| 4 | Som | ~ | wrayMDDp5e_2_score | 0.0364695 | 0.0172437 | 2.114946 | 0.0344346 | 0.0026725 | 0.0702666 |
| 5 | Det | ~ | wrayMDDp5e_2_score | 0.1101019 | 0.0179186 | 6.144544 | 0.0000000 | 0.0749820 | 0.1452218 |
| 6 | Ext | ~ | g | -0.1941649 | 0.0212932 | -9.118617 | 0.0000000 | -0.2358989 | -0.1524309 |
| 7 | Ext | ~ | BIS | 0.0383201 | 0.0226310 | 1.693258 | 0.0904063 | -0.0060358 | 0.0826760 |
| 8 | NDe | ~ | g | -0.2521362 | 0.0225856 | -11.163586 | 0.0000000 | -0.2964031 | -0.2078693 |
| 9 | NDe | ~ | BIS | 0.0508330 | 0.0221495 | 2.294991 | 0.0217337 | 0.0074207 | 0.0942452 |
| 10 | Int | ~ | g | -0.0564522 | 0.0219875 | -2.567465 | 0.0102445 | -0.0995470 | -0.0133574 |
| 11 | Int | ~ | BIS | 0.1953471 | 0.0214498 | 9.107161 | 0.0000000 | 0.1533062 | 0.2373880 |
| 12 | Som | ~ | g | -0.0551983 | 0.0210203 | -2.625949 | 0.0086408 | -0.0963975 | -0.0139992 |
| 13 | Som | ~ | BIS | 0.0556927 | 0.0218594 | 2.547771 | 0.0108414 | 0.0128491 | 0.0985363 |
| 14 | Det | ~ | g | -0.0471551 | 0.0237458 | -1.985826 | 0.0470527 | -0.0936960 | -0.0006141 |
| 15 | Det | ~ | BIS | 0.0661388 | 0.0246893 | 2.678839 | 0.0073878 | 0.0177486 | 0.1145290 |
| 16 | g | ~ | wrayMDDp5e_2_score | -0.0458712 | 0.0190779 | -2.404418 | 0.0161983 | -0.0832631 | -0.0084792 |
| 17 | BIS | ~ | wrayMDDp5e_2_score | 0.0411251 | 0.0185530 | 2.216626 | 0.0266486 | 0.0047619 | 0.0774884 |
| 18 | indirectCogGExt | := | aG*bGExt | 0.0089066 | 0.0038280 | 2.326691 | 0.0199817 | 0.0014038 | 0.0164093 |
| 19 | indirectBISExt | := | aBIS*bBISExt | 0.0015759 | 0.0011741 | 1.342234 | 0.1795201 | -0.0007253 | 0.0038771 |
| 20 | sumIndirectExt | := | (aGbGExt)+(aBISbBISExt) | 0.0104825 | 0.0039941 | 2.624484 | 0.0086780 | 0.0026542 | 0.0183108 |
| 21 | indirectCogGNDe | := | aG*bGNDe | 0.0115658 | 0.0049160 | 2.352688 | 0.0186383 | 0.0019306 | 0.0212009 |
| 22 | indirectBISNDe | := | aBIS*bBISNDe | 0.0020905 | 0.0012966 | 1.612312 | 0.1068940 | -0.0004508 | 0.0046318 |
| 23 | sumIndirectNDe | := | (aGbGNDe)+(aBISbBISNDe) | 0.0136563 | 0.0050819 | 2.687258 | 0.0072041 | 0.0036960 | 0.0236166 |
| 24 | indirectCogGInt | := | aG*bGInt | 0.0025895 | 0.0014971 | 1.729707 | 0.0836826 | -0.0003447 | 0.0055238 |
| 25 | indirectBISInt | := | aBIS*bBISInt | 0.0080337 | 0.0037434 | 2.146115 | 0.0318638 | 0.0006968 | 0.0153705 |
| 26 | sumIndirectInt | := | (aGbGInt)+(aBISbBISInt) | 0.0106232 | 0.0040497 | 2.623209 | 0.0087106 | 0.0026859 | 0.0185605 |
| 27 | indirectCogGSom | := | aG*bGSom | 0.0025320 | 0.0014119 | 1.793306 | 0.0729240 | -0.0002353 | 0.0052993 |
| 28 | indirectBISSom | := | aBIS*bBISSom | 0.0022904 | 0.0013709 | 1.670698 | 0.0947814 | -0.0003966 | 0.0049773 |
| 29 | sumIndirectSom | := | (aGbGSom)+(aBISbBISSom) | 0.0048224 | 0.0019190 | 2.512922 | 0.0119736 | 0.0010611 | 0.0085836 |
| 30 | indirectCogGDet | := | aG*bGDet | 0.0021631 | 0.0014086 | 1.535578 | 0.1246419 | -0.0005978 | 0.0049239 |
| 31 | indirectBISDet | := | aBIS*bBISDet | 0.0027200 | 0.0015998 | 1.700220 | 0.0890895 | -0.0004155 | 0.0058555 |
| 32 | sumIndirectDet | := | (aGbGDet)+(aBISbBISDet) | 0.0048830 | 0.0021394 | 2.282450 | 0.0224628 | 0.0006899 | 0.0090761 |
| 33 | directExt | := | cExt | 0.0565024 | 0.0156400 | 3.612677 | 0.0003031 | 0.0258485 | 0.0871563 |
| 34 | directNDe | := | cNDe | 0.0615253 | 0.0162580 | 3.784314 | 0.0001541 | 0.0296603 | 0.0933904 |
| 35 | directInt | := | cInt | 0.0637426 | 0.0156751 | 4.066498 | 0.0000477 | 0.0330201 | 0.0944652 |
| 36 | directSom | := | cSom | 0.0364695 | 0.0172437 | 2.114946 | 0.0344346 | 0.0026725 | 0.0702666 |
| 37 | directDet | := | cDet | 0.1101019 | 0.0179186 | 6.144544 | 0.0000000 | 0.0749820 | 0.1452218 |
| 38 | totalExt | := | cExt+(aGbGExt)+(aBISbBISExt) | 0.0669849 | 0.0156757 | 4.273161 | 0.0000193 | 0.0362610 | 0.0977087 |
| 39 | propCogGExt | := | indirectCogGExt/totalExt | 0.1329639 | 0.0612630 | 2.170379 | 0.0299782 | 0.0128906 | 0.2530372 |
| 40 | propBISExt | := | indirectBISExt/totalExt | 0.0235265 | 0.0182514 | 1.289023 | 0.1973901 | -0.0122456 | 0.0592986 |
| 41 | propSumIndirectExt | := | sumIndirectExt/totalExt | 0.1564904 | 0.0655834 | 2.386130 | 0.0170267 | 0.0279494 | 0.2850315 |
| 42 | totalNDe | := | cNDe+(aGbGNDe)+(aBISbBISNDe) | 0.0751816 | 0.0163794 | 4.590009 | 0.0000044 | 0.0430786 | 0.1072846 |
| 43 | propCogGNDe | := | indirectCogGNDe/totalNDe | 0.1538379 | 0.0685550 | 2.244008 | 0.0248319 | 0.0194726 | 0.2882032 |
| 44 | propBISNDe | := | indirectBISNDe/totalNDe | 0.0278062 | 0.0177187 | 1.569308 | 0.1165761 | -0.0069219 | 0.0625343 |
| 45 | propSumIndirectNDe | := | sumIndirectNDe/totalNDe | 0.1816441 | 0.0719571 | 2.524339 | 0.0115916 | 0.0406108 | 0.3226773 |
| 46 | totalInt | := | cInt+(aGbGInt)+(aBISbBISInt) | 0.0743658 | 0.0155239 | 4.790401 | 0.0000017 | 0.0439395 | 0.1047922 |
| 47 | propCogGInt | := | indirectCogGInt/totalInt | 0.0348215 | 0.0214960 | 1.619906 | 0.1052524 | -0.0073099 | 0.0769528 |
| 48 | propBISInt | := | indirectBISInt/totalInt | 0.1080291 | 0.0529323 | 2.040893 | 0.0412614 | 0.0042838 | 0.2117745 |
| 49 | propSumIndirectInt | := | sumIndirectInt/totalInt | 0.1428506 | 0.0596064 | 2.396565 | 0.0165496 | 0.0260242 | 0.2596770 |
| 50 | totalSom | := | cSom+(aGbGSom)+(aBISbBISSom) | 0.0412919 | 0.0172013 | 2.400508 | 0.0163723 | 0.0075779 | 0.0750059 |
| 51 | propCogGSom | := | indirectCogGSom/totalSom | 0.0613198 | 0.0426241 | 1.438618 | 0.1502588 | -0.0222219 | 0.1448615 |
| 52 | propBISSom | := | indirectBISSom/totalSom | 0.0554678 | 0.0396021 | 1.400627 | 0.1613255 | -0.0221509 | 0.1330865 |
| 53 | propSumIndirectSom | := | sumIndirectSom/totalSom | 0.1167876 | 0.0661408 | 1.765742 | 0.0774392 | -0.0128460 | 0.2464212 |
| 54 | totalDet | := | cDet+(aGbGDet)+(aBISbBISDet) | 0.1149849 | 0.0178351 | 6.447117 | 0.0000000 | 0.0800288 | 0.1499411 |
| 55 | propCogGDet | := | indirectCogGDet/totalDet | 0.0188117 | 0.0126219 | 1.490395 | 0.1361204 | -0.0059269 | 0.0435502 |
| 56 | propBISDet | := | indirectBISDet/totalDet | 0.0236550 | 0.0142575 | 1.659124 | 0.0970909 | -0.0042892 | 0.0515992 |
| 57 | propSumIndirectDet | := | sumIndirectDet/totalDet | 0.0424666 | 0.0196075 | 2.165835 | 0.0303238 | 0.0040366 | 0.0808967 |
3.8.1 Plot mediation between MDD PS and specific dimensions of psychopathology with BIS and G-Factor as mediators
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))
shape <- c(rep("circle",2),rep("circle",5),rep("rectangle",5),rep("circle",4))
borders = c(rep("TRUE",9),rep("FALSE",3),rep("TRUE",4))
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
),,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
indirect_eff_MDD <- c(paste0("Ind BIS ", "10.80%*"),
paste0("Ind G ", "15.38%*"),
paste0("Ind G ","13.30%*"))
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]
)
eLabs <- list(
"",
"",
"0.195***",
"",
"","","","","","","","","","","","","","","","","","","","","","","","","-0.252***","-0.194***","","","0.041*","-0.046*","","","","","","","","","","","","",""
)
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"
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
elabs_position <- rep(0.5,nrow(E));elabs_position[3]<-0.3;elabs_position[29:30]<-0.3
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,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 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
NDe ~ cNDe*ADHDp5e_2_score
NDe ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
Int ~ cInt*ADHDp5e_2_score
Int ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
Som ~ cSom*ADHDp5e_2_score
Som ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
# 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 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
BASg ~ ADHDp5e_2_cnt + pc1 + pc2 + pc3 + pc4 + pc5 + pc6 + pc7 + pc8 + pc9 + pc10
# 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)## lavaan 0.6-6 ended normally after 640 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 276
##
## Used Total
## Number of observations 4129 4439
##
## Model Test User Model:
## Standard Robust
## Test Statistic 25810.533 19542.149
## Degrees of freedom 5002 5002
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.321
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 196935.501 148956.603
## Degrees of freedom 5187 5187
## P-value 0.000 0.000
## Scaling correction factor 1.322
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.891 0.899
## Tucker-Lewis Index (TLI) 0.887 0.895
##
## Robust Comparative Fit Index (CFI) 0.899
## Robust Tucker-Lewis Index (TLI) 0.895
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -186498.492 -186498.492
## Scaling correction factor 4.442
## for the MLR correction
## Loglikelihood unrestricted model (H1) -173593.225 -173593.225
## Scaling correction factor 1.484
## for the MLR correction
##
## Akaike (AIC) 373548.984 373548.984
## Bayesian (BIC) 375294.902 375294.902
## Sample-size adjusted Bayesian (BIC) 374417.893 374417.893
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.032 0.027
## 90 Percent confidence interval - lower 0.031 0.026
## 90 Percent confidence interval - upper 0.032 0.027
## P-value RMSEA <= 0.05 1.000 1.000
##
## Robust RMSEA 0.030
## 90 Percent confidence interval - lower 0.030
## 90 Percent confidence interval - upper 0.031
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.050 0.050
##
## 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 0.514 0.026 20.006 0.000
## CBCL_Q109_P 0.584 0.024 24.224 0.000
## CBCL_Q15_P 0.064 0.012 5.217 0.000
## CBCL_Q16_P 0.336 0.023 14.901 0.000
## CBCL_Q19_P 0.691 0.026 27.075 0.000
## CBCL_Q26_P 0.457 0.026 17.919 0.000
## CBCL_Q27_P 0.628 0.025 25.005 0.000
## CBCL_Q34_P 0.233 0.022 10.521 0.000
## CBCL_Q37_P 0.184 0.021 8.660 0.000
## CBCL_Q39_P 0.203 0.020 10.038 0.000
## CBCL_Q43_P 0.618 0.025 25.053 0.000
## CBCL_Q67_P 0.043 0.013 3.388 0.001
## CBCL_Q68_P 0.492 0.025 19.852 0.000
## CBCL_Q72_P 0.019 0.006 3.072 0.002
## CBCL_Q74_P 0.566 0.027 20.833 0.000
## CBCL_Q86_P 0.855 0.022 38.589 0.000
## CBCL_Q87_P 0.655 0.026 25.234 0.000
## CBCL_Q88_P 0.481 0.026 18.420 0.000
## CBCL_Q89_P 0.176 0.021 8.307 0.000
## CBCL_Q90_P 0.266 0.025 10.626 0.000
## CBCL_Q94_P 0.334 0.024 13.757 0.000
## CBCL_Q95_P 0.824 0.023 35.874 0.000
## CBCL_Q96_P 0.044 0.014 3.036 0.002
## Com1_Attack 0.327 0.023 14.359 0.000
## Com2_Destroy 0.240 0.021 11.688 0.000
## Com3_Disobeys 0.683 0.021 33.087 0.000
## Com4_Steals 0.218 0.021 10.520 0.000
## Com5_Peer 0.436 0.023 19.025 0.000
## NDe =~
## CBCL_Q01_P 1.000
## CBCL_Q04_P 1.503 0.072 20.899 0.000
## CBCL_Q09_P 1.321 0.068 19.496 0.000
## CBCL_Q13_P 0.444 0.039 11.283 0.000
## CBCL_Q17_P 1.144 0.064 17.782 0.000
## CBCL_Q36_P 0.663 0.046 14.448 0.000
## CBCL_Q46_P 0.668 0.049 13.514 0.000
## CBCL_Q61_P 0.797 0.046 17.491 0.000
## CBCL_Q62_P 0.724 0.044 16.295 0.000
## CBCL_Q64_P 0.713 0.043 16.721 0.000
## CBCL_Q66_P 0.521 0.045 11.479 0.000
## CBCL_Q80_P 0.593 0.043 13.690 0.000
## CBCL_Q85_P 0.456 0.036 12.525 0.000
## CBCL_Q93_P 1.063 0.059 17.938 0.000
## Com6_Distractd 1.764 0.078 22.686 0.000
## Int =~
## CBCL_Q112_P 1.000
## CBCL_Q12_P 0.369 0.027 13.698 0.000
## CBCL_Q29_P 0.534 0.027 19.858 0.000
## CBCL_Q30_P 0.203 0.022 9.240 0.000
## CBCL_Q31_P 0.359 0.025 14.383 0.000
## CBCL_Q32_P 0.673 0.031 22.022 0.000
## CBCL_Q35_P 0.514 0.027 19.065 0.000
## CBCL_Q45_P 0.740 0.025 29.563 0.000
## CBCL_Q50_P 0.877 0.022 39.201 0.000
## CBCL_Q52_P 0.354 0.024 14.574 0.000
## CBCL_Q71_P 0.829 0.029 28.880 0.000
## Som =~
## CBCL_Q51_P 1.000
## CBCL_Q56A_P 2.745 0.319 8.607 0.000
## CBCL_Q56B_P 3.519 0.391 9.010 0.000
## CBCL_Q56C_P 4.118 0.482 8.549 0.000
## CBCL_Q56D_P 0.544 0.102 5.334 0.000
## CBCL_Q56E_P 1.441 0.212 6.789 0.000
## CBCL_Q56F_P 4.834 0.554 8.732 0.000
## CBCL_Q56G_P 1.123 0.169 6.656 0.000
## CBCL_Q56H_P 0.690 0.138 4.996 0.000
## Det =~
## CBCL_Q102_P 1.000
## CBCL_Q111_P 1.366 0.119 11.499 0.000
## CBCL_Q42_P 1.889 0.184 10.258 0.000
## CBCL_Q65_P 0.961 0.116 8.266 0.000
## CBCL_Q75_P 1.661 0.177 9.359 0.000
## EF =~
## NIHTBX_FLANKER 1.000
## NIHTBX_CARDSOR 1.243 0.050 24.909 0.000
## NIHTBX_PATTERN 1.011 0.046 21.847 0.000
## verbal =~
## NIHTBX_PICVOCA 1.000
## NIHTBX_READING 1.077 0.040 26.954 0.000
## memory =~
## NIHTBX_PICTURE 1.000
## PEA_RAVLT_LD_T 1.044 0.039 26.757 0.000
## NIHTBX_LIST_UN 1.129 0.055 20.576 0.000
## spatial =~
## LMT_SCR_PERC_C 1.000
## PEA_WISCV_TRS 1.171 0.054 21.814 0.000
## g =~
## EF 0.349 0.017 19.986 0.000
## verbal 0.520 0.018 28.798 0.000
## memory 0.457 0.016 28.541 0.000
## spatial 0.472 0.017 28.066 0.000
## RR =~
## BISBAS8_Y 1.000
## BISBAS10_Y 0.996 0.029 33.966 0.000
## BISBAS11_Y 0.854 0.033 25.633 0.000
## BISBAS12_Y 1.126 0.033 34.305 0.000
## Drive =~
## BISBAS13_Y 1.000
## BISBAS14_Y 1.082 0.024 45.501 0.000
## BISBAS15_Y 0.989 0.027 36.260 0.000
## BISBAS16_Y 0.782 0.031 25.487 0.000
## Fun =~
## BISBAS17_Y 1.000
## BISBAS18_Y 1.151 0.048 24.003 0.000
## BISBAS19_Y 0.989 0.046 21.702 0.000
## BISBAS20_Y 0.985 0.038 25.743 0.000
## BASg =~
## RR 0.525 0.016 32.577 0.000
## Drive 0.537 0.016 32.983 0.000
## Fun 0.443 0.018 24.035 0.000
## Std.lv Std.all
##
## 0.429 0.664
## 0.221 0.440
## 0.250 0.485
## 0.028 0.268
## 0.144 0.523
## 0.296 0.575
## 0.196 0.538
## 0.270 0.560
## 0.100 0.401
## 0.079 0.454
## 0.087 0.327
## 0.265 0.572
## 0.019 0.261
## 0.211 0.586
## 0.008 0.121
## 0.243 0.454
## 0.367 0.649
## 0.281 0.608
## 0.206 0.530
## 0.075 0.401
## 0.114 0.402
## 0.143 0.436
## 0.354 0.655
## 0.019 0.214
## 0.140 0.535
## 0.103 0.478
## 0.293 0.660
## 0.094 0.436
## 0.187 0.516
##
## 0.249 0.529
## 0.374 0.623
## 0.328 0.593
## 0.110 0.449
## 0.284 0.526
## 0.165 0.385
## 0.166 0.449
## 0.198 0.535
## 0.180 0.474
## 0.177 0.431
## 0.130 0.445
## 0.147 0.499
## 0.113 0.439
## 0.264 0.475
## 0.438 0.720
##
## 0.413 0.702
## 0.152 0.415
## 0.220 0.488
## 0.084 0.377
## 0.148 0.473
## 0.278 0.486
## 0.212 0.546
## 0.305 0.644
## 0.362 0.716
## 0.146 0.493
## 0.342 0.554
##
## 0.067 0.317
## 0.185 0.433
## 0.237 0.471
## 0.277 0.719
## 0.037 0.178
## 0.097 0.238
## 0.325 0.679
## 0.076 0.357
## 0.046 0.251
##
## 0.128 0.463
## 0.175 0.677
## 0.242 0.577
## 0.123 0.424
## 0.212 0.464
##
## 0.589 0.592
## 0.732 0.730
## 0.595 0.597
##
## 0.683 0.680
## 0.735 0.733
##
## 0.548 0.548
## 0.572 0.573
## 0.618 0.619
##
## 0.486 0.488
## 0.569 0.569
##
## 0.600 0.600
## 0.770 0.770
## 0.843 0.843
## 0.981 0.981
##
## 0.637 0.639
## 0.634 0.636
## 0.544 0.544
## 0.717 0.718
##
## 0.715 0.714
## 0.774 0.773
## 0.707 0.707
## 0.559 0.561
##
## 0.566 0.564
## 0.651 0.652
## 0.560 0.563
## 0.557 0.556
##
## 0.831 0.831
## 0.755 0.755
## 0.789 0.789
##
## Regressions:
## Estimate Std.Err z-value P(>|z|)
## Ext ~
## ADHD5_ (cExt) 0.029 0.007 4.333 0.000
## ADHD5_ 0.000 0.000 0.962 0.336
## pc1 0.344 0.511 0.673 0.501
## pc2 0.109 0.504 0.216 0.829
## pc3 0.734 0.332 2.213 0.027
## pc4 0.335 0.331 1.014 0.311
## pc5 -0.445 0.308 -1.444 0.149
## pc6 -0.741 0.345 -2.150 0.032
## pc7 -0.262 0.228 -1.147 0.251
## pc8 1.693 0.302 5.611 0.000
## pc9 0.464 0.252 1.838 0.066
## pc10 -0.685 0.468 -1.463 0.143
## NDe ~
## ADHD5_ (cNDe) 0.018 0.004 4.313 0.000
## ADHD5_ -0.000 0.000 -0.223 0.823
## pc1 -0.301 0.281 -1.069 0.285
## pc2 0.113 0.263 0.428 0.668
## pc3 0.089 0.199 0.450 0.653
## pc4 0.330 0.202 1.634 0.102
## pc5 -0.537 0.232 -2.311 0.021
## pc6 0.070 0.258 0.272 0.786
## pc7 -0.123 0.122 -1.006 0.314
## pc8 0.381 0.163 2.331 0.020
## pc9 0.086 0.124 0.694 0.488
## pc10 -0.086 0.157 -0.548 0.584
## Int ~
## ADHD5_ (cInt) 0.013 0.007 1.917 0.055
## ADHD5_ 0.000 0.000 0.061 0.951
## pc1 -0.349 0.518 -0.673 0.501
## pc2 0.161 0.458 0.351 0.726
## pc3 0.508 0.354 1.435 0.151
## pc4 0.465 0.411 1.130 0.259
## pc5 -0.538 0.427 -1.261 0.207
## pc6 -0.343 0.498 -0.690 0.490
## pc7 -0.674 0.233 -2.891 0.004
## pc8 0.078 0.501 0.156 0.876
## pc9 -0.435 0.229 -1.897 0.058
## pc10 0.333 0.308 1.082 0.279
## Som ~
## ADHD5_ (cSom) 0.002 0.001 2.008 0.045
## ADHD5_ 0.000 0.000 0.106 0.915
## pc1 -0.069 0.085 -0.804 0.421
## pc2 0.023 0.080 0.280 0.779
## pc3 0.128 0.066 1.936 0.053
## pc4 0.067 0.078 0.862 0.389
## pc5 -0.070 0.057 -1.239 0.215
## pc6 -0.087 0.068 -1.276 0.202
## pc7 -0.136 0.051 -2.671 0.008
## pc8 -0.022 0.061 -0.366 0.714
## pc9 -0.108 0.049 -2.216 0.027
## pc10 -0.002 0.063 -0.036 0.971
## Ext ~
## g (bGEx) -0.071 0.010 -7.447 0.000
## BASg (bBASE) 0.060 0.009 6.641 0.000
## NDe ~
## g (bGND) -0.057 0.006 -8.843 0.000
## BASg (bBASN) 0.029 0.005 5.238 0.000
## Int ~
## g (bGIn) -0.024 0.009 -2.521 0.012
## BASg (bBASI) 0.011 0.009 1.300 0.194
## Som ~
## g (bGSm) -0.004 0.002 -2.318 0.020
## BASg (bBASS) 0.001 0.002 0.588 0.557
## g ~
## ADHD5_ (aG) -0.092 0.019 -4.864 0.000
## BASg ~
## ADHD5_ (aBAS) 0.077 0.019 4.120 0.000
## g ~
## ADHD5_ -0.000 0.000 -1.185 0.236
## pc1 2.504 1.326 1.888 0.059
## pc2 -6.398 1.271 -5.034 0.000
## pc3 4.198 0.848 4.952 0.000
## pc4 -2.047 0.799 -2.564 0.010
## pc5 1.698 0.796 2.132 0.033
## pc6 0.053 0.994 0.053 0.958
## pc7 1.703 0.632 2.695 0.007
## pc8 1.313 0.969 1.355 0.176
## pc9 -0.139 0.839 -0.166 0.868
## pc10 -1.618 0.928 -1.743 0.081
## BASg ~
## ADHD5_ 0.000 0.000 1.469 0.142
## pc1 2.198 1.308 1.680 0.093
## pc2 1.163 1.285 0.905 0.366
## pc3 -4.226 1.005 -4.205 0.000
## pc4 2.021 0.949 2.130 0.033
## pc5 -1.292 0.710 -1.820 0.069
## pc6 -0.105 0.762 -0.138 0.890
## pc7 -2.167 0.697 -3.107 0.002
## pc8 0.340 1.367 0.249 0.803
## pc9 -0.614 0.671 -0.916 0.360
## pc10 2.219 0.714 3.110 0.002
## Std.lv Std.all
##
## 0.069 0.068
## 0.000 0.016
## 0.802 0.011
## 0.254 0.004
## 1.710 0.020
## 0.782 0.009
## -1.037 -0.012
## -1.727 -0.021
## -0.610 -0.009
## 3.943 0.045
## 1.080 0.016
## -1.596 -0.019
##
## 0.073 0.073
## -0.000 -0.004
## -1.210 -0.016
## 0.453 0.006
## 0.359 0.004
## 1.328 0.015
## -2.161 -0.026
## 0.282 0.003
## -0.495 -0.007
## 1.533 0.018
## 0.346 0.005
## -0.347 -0.004
##
## 0.033 0.033
## 0.000 0.001
## -0.846 -0.011
## 0.390 0.005
## 1.231 0.015
## 1.127 0.013
## -1.305 -0.016
## -0.833 -0.010
## -1.634 -0.025
## 0.189 0.002
## -1.054 -0.016
## 0.808 0.010
##
## 0.037 0.037
## 0.000 0.002
## -1.021 -0.014
## 0.335 0.005
## 1.899 0.023
## 0.994 0.011
## -1.043 -0.013
## -1.287 -0.016
## -2.015 -0.030
## -0.332 -0.004
## -1.598 -0.024
## -0.034 -0.000
##
## -0.168 -0.168
## 0.141 0.141
##
## -0.230 -0.230
## 0.116 0.116
##
## -0.058 -0.058
## 0.028 0.028
##
## -0.053 -0.053
## 0.014 0.014
##
## -0.091 -0.091
##
## 0.076 0.076
##
## -0.000 -0.025
## 2.476 0.034
## -6.326 -0.087
## 4.151 0.049
## -2.024 -0.023
## 1.679 0.020
## 0.052 0.001
## 1.684 0.025
## 1.298 0.015
## -0.137 -0.002
## -1.600 -0.019
##
## 0.000 0.029
## 2.183 0.030
## 1.155 0.016
## -4.197 -0.050
## 2.007 0.023
## -1.283 -0.015
## -0.104 -0.001
## -2.152 -0.032
## 0.338 0.004
## -0.610 -0.009
## 2.204 0.026
##
## Covariances:
## Estimate Std.Err z-value P(>|z|)
## .g ~~
## .BASg -0.165 0.023 -7.256 0.000
## .Ext ~~
## .NDe 0.067 0.004 16.281 0.000
## .Int 0.092 0.005 19.068 0.000
## .Som 0.010 0.001 7.287 0.000
## .NDe ~~
## .Int 0.059 0.004 16.103 0.000
## .Som 0.006 0.001 6.881 0.000
## .Int ~~
## .Som 0.014 0.002 7.421 0.000
## Std.lv Std.all
##
## -0.165 -0.165
##
## 0.682 0.682
## 0.538 0.538
## 0.347 0.347
##
## 0.601 0.601
## 0.402 0.402
##
## 0.499 0.499
##
## Variances:
## Estimate Std.Err z-value P(>|z|)
## .g 1.000
## .BASg 1.000
## .CBCL_Q03_P 0.234 0.007 35.121 0.000
## .CBCL_Q07_P 0.203 0.005 37.985 0.000
## .CBCL_Q109_P 0.204 0.005 37.938 0.000
## .CBCL_Q15_P 0.010 0.002 5.649 0.000
## .CBCL_Q16_P 0.055 0.003 19.973 0.000
## .CBCL_Q19_P 0.178 0.006 28.385 0.000
## .CBCL_Q26_P 0.094 0.005 20.551 0.000
## .CBCL_Q27_P 0.159 0.006 28.843 0.000
## .CBCL_Q34_P 0.052 0.003 15.072 0.000
## .CBCL_Q37_P 0.024 0.002 11.839 0.000
## .CBCL_Q39_P 0.063 0.004 16.588 0.000
## .CBCL_Q43_P 0.144 0.005 31.674 0.000
## .CBCL_Q67_P 0.005 0.001 3.935 0.000
## .CBCL_Q68_P 0.085 0.004 21.129 0.000
## .CBCL_Q72_P 0.004 0.001 3.315 0.001
## .CBCL_Q74_P 0.227 0.006 35.737 0.000
## .CBCL_Q86_P 0.185 0.005 34.674 0.000
## .CBCL_Q87_P 0.135 0.005 28.798 0.000
## .CBCL_Q88_P 0.109 0.004 24.629 0.000
## .CBCL_Q89_P 0.030 0.003 10.020 0.000
## .CBCL_Q90_P 0.068 0.004 15.445 0.000
## .CBCL_Q94_P 0.088 0.004 21.446 0.000
## .CBCL_Q95_P 0.166 0.005 32.044 0.000
## .CBCL_Q96_P 0.007 0.002 4.623 0.000
## .Com1_Attack 0.049 0.002 19.735 0.000
## .Com2_Destroy 0.036 0.002 16.056 0.000
## .Com3_Disobeys 0.112 0.004 30.742 0.000
## .Com4_Steals 0.037 0.003 14.905 0.000
## .Com5_Peer 0.096 0.004 23.704 0.000
## .CBCL_Q01_P 0.159 0.005 29.211 0.000
## .CBCL_Q04_P 0.221 0.006 34.806 0.000
## .CBCL_Q09_P 0.199 0.006 31.812 0.000
## .CBCL_Q13_P 0.048 0.003 13.786 0.000
## .CBCL_Q17_P 0.212 0.006 32.963 0.000
## .CBCL_Q36_P 0.156 0.006 24.828 0.000
## .CBCL_Q46_P 0.109 0.006 19.645 0.000
## .CBCL_Q61_P 0.098 0.005 21.477 0.000
## .CBCL_Q62_P 0.112 0.005 21.262 0.000
## .CBCL_Q64_P 0.138 0.005 26.027 0.000
## .CBCL_Q66_P 0.068 0.005 15.037 0.000
## .CBCL_Q80_P 0.065 0.004 18.684 0.000
## .CBCL_Q85_P 0.054 0.003 16.419 0.000
## .CBCL_Q93_P 0.240 0.007 33.296 0.000
## .Com6_Distractd 0.179 0.006 29.511 0.000
## .CBCL_Q112_P 0.176 0.005 32.110 0.000
## .CBCL_Q12_P 0.111 0.005 21.376 0.000
## .CBCL_Q29_P 0.155 0.005 28.201 0.000
## .CBCL_Q30_P 0.042 0.003 12.479 0.000
## .CBCL_Q31_P 0.076 0.004 20.300 0.000
## .CBCL_Q32_P 0.249 0.007 35.143 0.000
## .CBCL_Q35_P 0.106 0.004 25.712 0.000
## .CBCL_Q45_P 0.131 0.005 27.738 0.000
## .CBCL_Q50_P 0.124 0.005 26.785 0.000
## .CBCL_Q52_P 0.066 0.003 19.242 0.000
## .CBCL_Q71_P 0.264 0.006 40.859 0.000
## .CBCL_Q51_P 0.041 0.003 12.580 0.000
## .CBCL_Q56A_P 0.147 0.005 26.903 0.000
## .CBCL_Q56B_P 0.196 0.006 31.477 0.000
## .CBCL_Q56C_P 0.072 0.004 19.144 0.000
## .CBCL_Q56D_P 0.041 0.004 9.257 0.000
## .CBCL_Q56E_P 0.157 0.007 22.927 0.000
## .CBCL_Q56F_P 0.124 0.006 20.685 0.000
## .CBCL_Q56G_P 0.039 0.003 14.258 0.000
## .CBCL_Q56H_P 0.032 0.004 8.787 0.000
## .CBCL_Q102_P 0.060 0.004 14.467 0.000
## .CBCL_Q111_P 0.036 0.003 13.894 0.000
## .CBCL_Q42_P 0.117 0.005 22.088 0.000
## .CBCL_Q65_P 0.069 0.004 15.350 0.000
## .CBCL_Q75_P 0.164 0.007 23.774 0.000
## .NIHTBX_FLANKER 0.643 0.023 28.564 0.000
## .NIHTBX_CARDSOR 0.468 0.024 19.407 0.000
## .NIHTBX_PATTERN 0.641 0.021 30.195 0.000
## .NIHTBX_PICVOCA 0.541 0.023 23.397 0.000
## .NIHTBX_READING 0.465 0.023 20.224 0.000
## .NIHTBX_PICTURE 0.700 0.020 35.255 0.000
## .PEA_RAVLT_LD_T 0.669 0.022 31.092 0.000
## .NIHTBX_LIST_UN 0.617 0.021 28.776 0.000
## .LMT_SCR_PERC_C 0.757 0.021 36.077 0.000
## .PEA_WISCV_TRS 0.679 0.023 29.584 0.000
## .BISBAS8_Y 0.586 0.019 31.268 0.000
## .BISBAS10_Y 0.592 0.019 31.814 0.000
## .BISBAS11_Y 0.704 0.022 31.833 0.000
## .BISBAS12_Y 0.482 0.017 27.894 0.000
## .BISBAS13_Y 0.491 0.017 29.467 0.000
## .BISBAS14_Y 0.403 0.016 25.335 0.000
## .BISBAS15_Y 0.499 0.016 31.598 0.000
## .BISBAS16_Y 0.682 0.023 29.569 0.000
## .BISBAS17_Y 0.686 0.019 36.938 0.000
## .BISBAS18_Y 0.572 0.020 28.789 0.000
## .BISBAS19_Y 0.675 0.019 35.470 0.000
## .BISBAS20_Y 0.695 0.020 34.912 0.000
## .Ext 0.172 0.008 22.613 0.000
## .NDe 0.056 0.005 11.554 0.000
## .Int 0.169 0.008 20.731 0.000
## .Som 0.004 0.001 4.480 0.000
## Det 0.016 0.003 5.593 0.000
## .EF 0.222 0.016 14.250 0.000
## .verbal 0.189 0.016 11.874 0.000
## .memory 0.087 0.012 7.006 0.000
## .spatial 0.009 0.012 0.722 0.470
## .RR 0.125 0.013 10.028 0.000
## .Drive 0.220 0.016 13.895 0.000
## .Fun 0.121 0.011 10.820 0.000
## Std.lv Std.all
## 0.978 0.978
## 0.986 0.986
## 0.234 0.559
## 0.203 0.806
## 0.204 0.765
## 0.010 0.928
## 0.055 0.727
## 0.178 0.670
## 0.094 0.710
## 0.159 0.686
## 0.052 0.839
## 0.024 0.794
## 0.063 0.893
## 0.144 0.673
## 0.005 0.932
## 0.085 0.657
## 0.004 0.985
## 0.227 0.794
## 0.185 0.579
## 0.135 0.630
## 0.109 0.719
## 0.030 0.839
## 0.068 0.839
## 0.088 0.810
## 0.166 0.571
## 0.007 0.954
## 0.049 0.714
## 0.036 0.771
## 0.112 0.565
## 0.037 0.810
## 0.096 0.733
## 0.159 0.721
## 0.221 0.612
## 0.199 0.649
## 0.048 0.798
## 0.212 0.724
## 0.156 0.852
## 0.109 0.799
## 0.098 0.713
## 0.112 0.775
## 0.138 0.814
## 0.068 0.802
## 0.065 0.751
## 0.054 0.807
## 0.240 0.775
## 0.179 0.482
## 0.176 0.508
## 0.111 0.828
## 0.155 0.762
## 0.042 0.858
## 0.076 0.776
## 0.249 0.764
## 0.106 0.702
## 0.131 0.585
## 0.124 0.487
## 0.066 0.757
## 0.264 0.693
## 0.041 0.900
## 0.147 0.812
## 0.196 0.778
## 0.072 0.482
## 0.041 0.968
## 0.157 0.943
## 0.124 0.539
## 0.039 0.873
## 0.032 0.937
## 0.060 0.785
## 0.036 0.542
## 0.117 0.667
## 0.069 0.820
## 0.164 0.785
## 0.643 0.650
## 0.468 0.467
## 0.641 0.644
## 0.541 0.537
## 0.465 0.462
## 0.700 0.700
## 0.669 0.672
## 0.617 0.617
## 0.757 0.762
## 0.679 0.677
## 0.586 0.591
## 0.592 0.595
## 0.704 0.704
## 0.482 0.484
## 0.491 0.490
## 0.403 0.402
## 0.499 0.500
## 0.682 0.686
## 0.686 0.682
## 0.572 0.574
## 0.675 0.683
## 0.695 0.691
## 0.932 0.932
## 0.912 0.912
## 0.992 0.992
## 0.993 0.993
## 1.000 1.000
## 0.640 0.640
## 0.406 0.406
## 0.289 0.289
## 0.037 0.037
## 0.309 0.309
## 0.429 0.429
## 0.378 0.378
##
## R-Square:
## Estimate
## g 0.022
## BASg 0.014
## CBCL_Q03_P 0.441
## CBCL_Q07_P 0.194
## CBCL_Q109_P 0.235
## CBCL_Q15_P 0.072
## CBCL_Q16_P 0.273
## CBCL_Q19_P 0.330
## CBCL_Q26_P 0.290
## CBCL_Q27_P 0.314
## CBCL_Q34_P 0.161
## CBCL_Q37_P 0.206
## CBCL_Q39_P 0.107
## CBCL_Q43_P 0.327
## CBCL_Q67_P 0.068
## CBCL_Q68_P 0.343
## CBCL_Q72_P 0.015
## CBCL_Q74_P 0.206
## CBCL_Q86_P 0.421
## CBCL_Q87_P 0.370
## CBCL_Q88_P 0.281
## CBCL_Q89_P 0.161
## CBCL_Q90_P 0.161
## CBCL_Q94_P 0.190
## CBCL_Q95_P 0.429
## CBCL_Q96_P 0.046
## Com1_Attack 0.286
## Com2_Destroy 0.229
## Com3_Disobeys 0.435
## Com4_Steals 0.190
## Com5_Peer 0.267
## CBCL_Q01_P 0.279
## CBCL_Q04_P 0.388
## CBCL_Q09_P 0.351
## CBCL_Q13_P 0.202
## CBCL_Q17_P 0.276
## CBCL_Q36_P 0.148
## CBCL_Q46_P 0.201
## CBCL_Q61_P 0.287
## CBCL_Q62_P 0.225
## CBCL_Q64_P 0.186
## CBCL_Q66_P 0.198
## CBCL_Q80_P 0.249
## CBCL_Q85_P 0.193
## CBCL_Q93_P 0.225
## Com6_Distractd 0.518
## CBCL_Q112_P 0.492
## CBCL_Q12_P 0.172
## CBCL_Q29_P 0.238
## CBCL_Q30_P 0.142
## CBCL_Q31_P 0.224
## CBCL_Q32_P 0.236
## CBCL_Q35_P 0.298
## CBCL_Q45_P 0.415
## CBCL_Q50_P 0.513
## CBCL_Q52_P 0.243
## CBCL_Q71_P 0.307
## CBCL_Q51_P 0.100
## CBCL_Q56A_P 0.188
## CBCL_Q56B_P 0.222
## CBCL_Q56C_P 0.518
## CBCL_Q56D_P 0.032
## CBCL_Q56E_P 0.057
## CBCL_Q56F_P 0.461
## CBCL_Q56G_P 0.127
## CBCL_Q56H_P 0.063
## CBCL_Q102_P 0.215
## CBCL_Q111_P 0.458
## CBCL_Q42_P 0.333
## CBCL_Q65_P 0.180
## CBCL_Q75_P 0.215
## NIHTBX_FLANKER 0.350
## NIHTBX_CARDSOR 0.533
## NIHTBX_PATTERN 0.356
## NIHTBX_PICVOCA 0.463
## NIHTBX_READING 0.538
## NIHTBX_PICTURE 0.300
## PEA_RAVLT_LD_T 0.328
## NIHTBX_LIST_UN 0.383
## LMT_SCR_PERC_C 0.238
## PEA_WISCV_TRS 0.323
## BISBAS8_Y 0.409
## BISBAS10_Y 0.405
## BISBAS11_Y 0.296
## BISBAS12_Y 0.516
## BISBAS13_Y 0.510
## BISBAS14_Y 0.598
## BISBAS15_Y 0.500
## BISBAS16_Y 0.314
## BISBAS17_Y 0.318
## BISBAS18_Y 0.426
## BISBAS19_Y 0.317
## BISBAS20_Y 0.309
## Ext 0.068
## NDe 0.088
## Int 0.008
## Som 0.007
## EF 0.360
## verbal 0.594
## memory 0.711
## spatial 0.963
## RR 0.691
## Drive 0.571
## Fun 0.622
##
## Defined Parameters:
## Estimate Std.Err z-value P(>|z|)
## indirectCgGExt 0.007 0.002 4.107 0.000
## indirectBASExt 0.005 0.001 3.535 0.000
## sumIndirectExt 0.011 0.002 5.398 0.000
## indirectCogGND 0.005 0.001 4.261 0.000
## indirectBASNDe 0.002 0.001 3.213 0.001
## sumIndirectNDe 0.007 0.001 5.167 0.000
## indirectCgGInt 0.002 0.001 2.251 0.024
## indirectBASInt 0.001 0.001 1.244 0.213
## sumIndirectInt 0.003 0.001 2.750 0.006
## indirectCogGSm 0.000 0.000 2.095 0.036
## indirectBASSom 0.000 0.000 0.580 0.562
## sumIndirectSom 0.000 0.000 2.251 0.024
## directExt 0.029 0.007 4.333 0.000
## directNDe 0.018 0.004 4.313 0.000
## directInt 0.013 0.007 1.917 0.055
## directSom 0.002 0.001 2.008 0.045
## totalExt 0.041 0.007 5.953 0.000
## propCogGExt 0.161 0.044 3.662 0.000
## propBASExt 0.114 0.036 3.135 0.002
## prpSmIndrctExt 0.275 0.063 4.374 0.000
## totalNDe 0.025 0.004 5.949 0.000
## propCogGNDe 0.204 0.053 3.852 0.000
## propBASNDe 0.086 0.029 2.982 0.003
## propSmIndrctND 0.290 0.065 4.438 0.000
## totalInt 0.017 0.007 2.381 0.017
## propCogGInt 0.131 0.080 1.639 0.101
## propBASInt 0.053 0.048 1.095 0.274
## prpSmIndrctInt 0.184 0.103 1.793 0.073
## totalSom 0.003 0.001 2.343 0.019
## propCogGSom 0.113 0.070 1.618 0.106
## propBASSom 0.024 0.044 0.557 0.578
## propSmIndrctSm 0.137 0.084 1.644 0.100
## Std.lv Std.all
## 0.015 0.015
## 0.011 0.011
## 0.026 0.026
## 0.021 0.021
## 0.009 0.009
## 0.030 0.030
## 0.005 0.005
## 0.002 0.002
## 0.007 0.007
## 0.005 0.005
## 0.001 0.001
## 0.006 0.006
## 0.069 0.068
## 0.073 0.073
## 0.033 0.033
## 0.037 0.037
## 0.095 0.094
## 0.161 0.161
## 0.114 0.114
## 0.275 0.275
## 0.103 0.102
## 0.204 0.204
## 0.086 0.086
## 0.290 0.290
## 0.040 0.040
## 0.131 0.131
## 0.053 0.053
## 0.184 0.184
## 0.043 0.042
## 0.113 0.113
## 0.024 0.024
## 0.137 0.137ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2 <- 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"))
knitr::kable(ADHD_BAS_G_Ext_NDe_Int_Som_Mediation.Fit.p5e_2, format = "html", row.names = TRUE) | lhs | op | rhs | est.std | se | z | pvalue | ci.lower | ci.upper | |
|---|---|---|---|---|---|---|---|---|---|
| 1 | Ext | ~ | ADHDp5e_2_score | 0.0684714 | 0.0157894 | 4.3365331 | 0.0000145 | 0.0375247 | 0.0994182 |
| 2 | NDe | ~ | ADHDp5e_2_score | 0.0726381 | 0.0166240 | 4.3694835 | 0.0000125 | 0.0400557 | 0.1052204 |
| 3 | Int | ~ | ADHDp5e_2_score | 0.0326092 | 0.0170187 | 1.9160816 | 0.0553547 | -0.0007468 | 0.0659652 |
| 4 | Som | ~ | ADHDp5e_2_score | 0.0366102 | 0.0177033 | 2.0679855 | 0.0386414 | 0.0019123 | 0.0713081 |
| 5 | Ext | ~ | g | -0.1676939 | 0.0221543 | -7.5693591 | 0.0000000 | -0.2111155 | -0.1242722 |
| 6 | Ext | ~ | BASg | 0.1410954 | 0.0208148 | 6.7786082 | 0.0000000 | 0.1002991 | 0.1818916 |
| 7 | NDe | ~ | g | -0.2300098 | 0.0231997 | -9.9143647 | 0.0000000 | -0.2754803 | -0.1845393 |
| 8 | NDe | ~ | BASg | 0.1159135 | 0.0213413 | 5.4314140 | 0.0000001 | 0.0740853 | 0.1577417 |
| 9 | Int | ~ | g | -0.0577234 | 0.0228102 | -2.5305976 | 0.0113868 | -0.1024305 | -0.0130163 |
| 10 | Int | ~ | BASg | 0.0276391 | 0.0212444 | 1.3010082 | 0.1932556 | -0.0139991 | 0.0692774 |
| 11 | Som | ~ | g | -0.0529099 | 0.0216687 | -2.4417647 | 0.0146157 | -0.0953799 | -0.0104400 |
| 12 | Som | ~ | BASg | 0.0136061 | 0.0232236 | 0.5858745 | 0.5579598 | -0.0319113 | 0.0591235 |
| 13 | g | ~ | ADHDp5e_2_score | -0.0906618 | 0.0184861 | -4.9043140 | 0.0000009 | -0.1268939 | -0.0544296 |
| 14 | BASg | ~ | ADHDp5e_2_score | 0.0763562 | 0.0184231 | 4.1445883 | 0.0000340 | 0.0402476 | 0.1124649 |
| 15 | indirectCogGExt | := | aG*bGExt | 0.0152034 | 0.0036869 | 4.1236686 | 0.0000373 | 0.0079773 | 0.0224296 |
| 16 | indirectBASExt | := | aBASg*bBASgExt | 0.0107735 | 0.0030351 | 3.5495989 | 0.0003858 | 0.0048248 | 0.0167223 |
| 17 | sumIndirectExt | := | (aGbGExt)+(aBASgbBASgExt) | 0.0259769 | 0.0047727 | 5.4428531 | 0.0000001 | 0.0166227 | 0.0353312 |
| 18 | indirectCogGNDe | := | aG*bGNDe | 0.0208531 | 0.0047696 | 4.3720587 | 0.0000123 | 0.0115048 | 0.0302014 |
| 19 | indirectBASNDe | := | aBASg*bBASgNDe | 0.0088507 | 0.0027150 | 3.2599268 | 0.0011144 | 0.0035294 | 0.0141720 |
| 20 | sumIndirectNDe | := | (aGbGNDe)+(aBASgbBASgNDe) | 0.0297038 | 0.0055337 | 5.3677587 | 0.0000001 | 0.0188579 | 0.0405498 |
| 21 | indirectCogGInt | := | aG*bGInt | 0.0052333 | 0.0023185 | 2.2572200 | 0.0239943 | 0.0006892 | 0.0097774 |
| 22 | indirectBASInt | := | aBASg*bBASgInt | 0.0021104 | 0.0016947 | 1.2453135 | 0.2130165 | -0.0012111 | 0.0054320 |
| 23 | sumIndirectInt | := | (aGbGInt)+(aBASgbBASgInt) | 0.0073437 | 0.0026596 | 2.7612442 | 0.0057582 | 0.0021311 | 0.0125564 |
| 24 | indirectCogGSom | := | aG*bGSom | 0.0047969 | 0.0021982 | 2.1821736 | 0.0290967 | 0.0004885 | 0.0091053 |
| 25 | indirectBASSom | := | aBASg*bBASgSom | 0.0010389 | 0.0017970 | 0.5781345 | 0.5631733 | -0.0024832 | 0.0045610 |
| 26 | sumIndirectSom | := | (aGbGSom)+(aBASgbBASgSom) | 0.0058358 | 0.0025202 | 2.3156369 | 0.0205781 | 0.0008964 | 0.0107753 |
| 27 | directExt | := | cExt | 0.0684714 | 0.0157894 | 4.3365331 | 0.0000145 | 0.0375247 | 0.0994182 |
| 28 | directNDe | := | cNDe | 0.0726381 | 0.0166240 | 4.3694835 | 0.0000125 | 0.0400557 | 0.1052204 |
| 29 | directInt | := | cInt | 0.0326092 | 0.0170187 | 1.9160816 | 0.0553547 | -0.0007468 | 0.0659652 |
| 30 | directSom | := | cSom | 0.0366102 | 0.0177033 | 2.0679855 | 0.0386414 | 0.0019123 | 0.0713081 |
| 31 | totalExt | := | cExt+(aGbGExt)+(aBASgbBASgExt) | 0.0944484 | 0.0158052 | 5.9757681 | 0.0000000 | 0.0634707 | 0.1254261 |
| 32 | propCogGExt | := | indirectCogGExt/totalExt | 0.1609707 | 0.0439617 | 3.6616156 | 0.0002506 | 0.0748074 | 0.2471340 |
| 33 | propBASExt | := | indirectBASExt/totalExt | 0.1140677 | 0.0363852 | 3.1350070 | 0.0017185 | 0.0427541 | 0.1853813 |
| 34 | propSumIndirectExt | := | sumIndirectExt/totalExt | 0.2750384 | 0.0628821 | 4.3738743 | 0.0000122 | 0.1517918 | 0.3982851 |
| 35 | totalNDe | := | cNDe+(aGbGNDe)+(aBASgbBASgNDe) | 0.1023419 | 0.0166551 | 6.1447932 | 0.0000000 | 0.0696986 | 0.1349852 |
| 36 | propCogGNDe | := | indirectCogGNDe/totalNDe | 0.2037591 | 0.0529011 | 3.8516952 | 0.0001173 | 0.1000748 | 0.3074434 |
| 37 | propBASNDe | := | indirectBASNDe/totalNDe | 0.0864818 | 0.0290040 | 2.9817206 | 0.0028663 | 0.0296350 | 0.1433286 |
| 38 | propSumIndirectNDe | := | sumIndirectNDe/totalNDe | 0.2902409 | 0.0654022 | 4.4377878 | 0.0000091 | 0.1620550 | 0.4184268 |
| 39 | totalInt | := | cInt+(aGbGInt)+(aBASgbBASgInt) | 0.0399529 | 0.0167793 | 2.3810870 | 0.0172616 | 0.0070661 | 0.0728397 |
| 40 | propCogGInt | := | indirectCogGInt/totalInt | 0.1309868 | 0.0799296 | 1.6387768 | 0.1012597 | -0.0256724 | 0.2876461 |
| 41 | propBASInt | := | indirectBASInt/totalInt | 0.0528227 | 0.0482397 | 1.0950048 | 0.2735145 | -0.0417254 | 0.1473707 |
| 42 | propSumIndirectInt | := | sumIndirectInt/totalInt | 0.1838095 | 0.1025069 | 1.7931439 | 0.0729499 | -0.0171002 | 0.3847193 |
| 43 | totalSom | := | cSom+(aGbGSom)+(aBASgbBASgSom) | 0.0424461 | 0.0174170 | 2.4370428 | 0.0148079 | 0.0083093 | 0.0765828 |
| 44 | propCogGSom | := | indirectCogGSom/totalSom | 0.1130118 | 0.0698392 | 1.6181709 | 0.1056258 | -0.0238706 | 0.2498942 |
| 45 | propBASSom | := | indirectBASSom/totalSom | 0.0244760 | 0.0439747 | 0.5565932 | 0.5778054 | -0.0617128 | 0.1106648 |
| 46 | propSumIndirectSom | := | sumIndirectSom/totalSom | 0.1374879 | 0.0836097 | 1.6444015 | 0.1000933 | -0.0263841 | 0.3013598 |
3.9.1 Plot mediation between ADHD PS and specific dimensions of psychopathology with BAS and G-Factor as mediators
E <- matrix(c(
1,4, # Loading
1,5, # Loading
1,6, # Loading
1,7, # Loading
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,
2,4, # Loading
2,5, # Loading
2,6, # Loading
2,7, # Loading
8,1,
8,2,
9,1,
9,2,
9,4,
9,5,
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
),,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",9),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[31:36] <- "grey"
e.weight <- rep(1, nrow(E))
e.weight[3:4]<-2
e.weight[25:28] <-2;e.weight[29:30] <-2
indirect_eff_MDD <- c(paste0("Ind BAS ", "11.41%***\n", "Ind G ", "16.10%***"), ##label Ext
paste0("Ind BAS ", "8.65%**\n", "Ind G ", "20.38%***"), ## label Neuro Dev
paste0("Ind G ","13.10%*"),
paste0("Ind G ","11.30%*"))
## 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"
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_MDD[1],
indirect_eff_MDD[2],
indirect_eff_MDD[3],
indirect_eff_MDD[4],
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(
"",
"",
"0.116***",
"0.141***",
"","","","","","","","","","","","","","","","","","","","","-0.053*","-0.058*","-0.23***","-0.168***","0.076***","-0.091***","","","","","","","","","","","","","","","","",""
)
curve <- rep(0,nrow(E))
curve[5:nrow(E)] <- 1;curve[5:6]<-curve[13:14]<-curve[19:20]<-curve[23:24]<-3;curve[25:nrow(E)]<-0;curve[44:47]<-2
loopRot <- c(rep(0,2))
line.type <- rep(1,nrow(E));line.type[1:2]<-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 4.0.0 (2020-04-24)
## os macOS Mojave 10.14.6
## system x86_64, darwin17.0
## ui X11
## language (EN)
## collate en_US.UTF-8
## ctype en_US.UTF-8
## tz Pacific/Auckland
## date 2020-06-05
##
## ─ 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)
## assertthat 0.2.1 2019-03-21 [1] CRAN (R 4.0.0)
## backports 1.1.7 2020-05-13 [1] CRAN (R 4.0.0)
## 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)
## broom 0.5.6 2020-04-20 [1] CRAN (R 4.0.0)
## callr 3.4.3 2020-03-28 [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 4.0.0)
## coda 0.19-3 2019-07-05 [1] CRAN (R 4.0.0)
## codetools 0.2-16 2018-12-24 [1] CRAN (R 4.0.0)
## 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 1.4.3 2020-04-19 [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 * 0.8.5 2020-03-07 [1] CRAN (R 4.0.0)
## ellipsis 0.3.1 2020-05-15 [1] CRAN (R 4.0.0)
## emmeans 1.4.6 2020-04-19 [1] CRAN (R 4.0.0)
## estimability 1.3 2018-02-11 [1] CRAN (R 4.0.0)
## 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)
## 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 0.8-78 2020-04-13 [1] CRAN (R 4.0.0)
## Formula 1.2-3 2018-05-03 [1] CRAN (R 4.0.0)
## fs 1.4.1 2020-04-04 [1] CRAN (R 4.0.0)
## generics 0.0.2 2018-11-29 [1] CRAN (R 4.0.0)
## ggplot2 * 3.3.0 2020-03-05 [1] CRAN (R 4.0.0)
## glasso 1.11 2019-10-01 [1] CRAN (R 4.0.0)
## glue 1.4.1 2020-05-13 [1] CRAN (R 4.0.0)
## 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 2.2.0 2019-11-08 [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 0.4.0 2019-10-04 [1] CRAN (R 4.0.0)
## htmlwidgets 1.5.1 2019-10-08 [1] CRAN (R 4.0.0)
## httr 1.4.1 2019-08-05 [1] CRAN (R 4.0.0)
## 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 1.6.1 2020-02-02 [1] CRAN (R 4.0.0)
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## 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)
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## MASS 7.3-51.5 2019-12-20 [1] CRAN (R 4.0.0)
## Matrix 1.2-18 2019-11-27 [1] CRAN (R 4.0.0)
## memoise 1.1.0 2017-04-21 [1] CRAN (R 4.0.0)
## mnormt 1.5-7 2020-04-30 [1] CRAN (R 4.0.0)
## modelr 0.1.7 2020-04-30 [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)
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## nlme 3.1-147 2020-04-13 [1] CRAN (R 4.0.0)
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## pander * 0.6.3 2018-11-06 [1] CRAN (R 4.0.0)
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## pkgbuild 1.0.8 2020-05-07 [1] CRAN (R 4.0.0)
## pkgconfig 2.0.3 2019-09-22 [1] CRAN (R 4.0.0)
## pkgload 1.0.2 2018-10-29 [1] CRAN (R 4.0.0)
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## 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)
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## R6 2.4.1 2019-11-12 [1] CRAN (R 4.0.0)
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## readr * 1.3.1 2018-12-21 [1] CRAN (R 4.0.0)
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##
## [1] /Library/Frameworks/R.framework/Versions/4.0/Resources/library