# ---- Packages ----
library(lavaan)## This is lavaan 0.6-19
## lavaan is FREE software! Please report any bugs.library(dplyr)##
## Attaching package: 'dplyr'## The following objects are masked from 'package:stats':
##
## filter, lag## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, unionlibrary(tidyr)
library(stringr)
library(knitr)
library(kableExtra)## Warning: package 'kableExtra' was built under R version 4.5.1##
## Attaching package: 'kableExtra'## The following object is masked from 'package:dplyr':
##
## group_rowsoptions(scipen = 999, digits = 3)
ScaledData <- read.csv(
"C:/Users/woodph/OneDrive - University of Missouri/Documents/bartholow/May202025/ScaledVars.csv")
# Drink dummies (as given)
ScaledData$A <- 1 * (ScaledData$Drink == 100)
ScaledData$P <- 1 * (ScaledData$Drink == 1)
ScaledData$Both <- 1 * (ScaledData$ISD == 0)
ScaledData$IX <- ScaledData$A * ScaledData$BothAscending and Descending factor variances vary
ModifiedModelFVI <- "
! regressions
AS=~1.0*Antisac1+AN2*Antisac2+AN3*Antisac3
STR=~1.0*Stroop1+S2*Stroop2+S3*Stroop3
Keep=~1.0*Keeptrk1+K2*Keeptrk2+K3*Keeptrk3
Let=~1.0*Letmem1+L2*Letmem2+L3*Letmem3
NB=~1.0*Nback1+N2*Nback2+N3*Nback3
cat=~1.0*Catswt1+A2*Catswt2+A3*Catswt3
col=~1.0*Colswt1+O2*Colswt2+O3*Colswt3
Num=~1.0*Numswt1+U2*Numswt2+U3*Numswt3
EF1=~EFAntisac*Antisac1+EFStroop*Stroop1+EFKeeptrk*Keeptrk1+EFLetmem*Letmem1+EFNback*Nback1+
EFCatswt*Catswt1+EFColswt*Colswt1+EFNumswt*Numswt1
EF2=~EFAntisac*Antisac2+EFStroop*Stroop2+EFKeeptrk*Keeptrk2+EFLetmem*Letmem2+EFNback*Nback2+
EFCatswt*Catswt2+EFColswt*Colswt2+EFNumswt*Numswt2
EF3=~EFAntisac*Antisac3+EFStroop*Stroop3+EFKeeptrk*Keeptrk3+EFLetmem*Letmem3+EFNback*Nback3+
EFCatswt*Catswt3+EFColswt*Colswt3+EFNumswt*Numswt3
UP1=~UPKeeptrk*Keeptrk1+start(0.38)*Keeptrk1+UPLetmem*Letmem1+UPNback*Nback1
UP2=~UPKeeptrk*Keeptrk2+start(0.65)*Keeptrk2+UPLetmem*Letmem2+UPNback*Nback2
UP3=~UPKeeptrk*Keeptrk3+UPLetmem*Letmem3+UPNback*Nback3
SW1=~SWCatswt*Catswt1+SWColswt*Colswt1+SWNumswt*Numswt1
SW2=~SWCatswt*Catswt2+SWColswt*Colswt2+SWNumswt*Numswt2
SW3=~SWCatswt*Catswt3+SWColswt*Colswt3+SWNumswt*Numswt3
EF1 ~ A__EF1*A
EF2 ~ A__EF2*A
EF3 ~ A__EF3*A
EF1 ~ P__EF1*P
EF2 ~ P__EF2*P
EF3 ~ P__EF3*P
EF3 ~ Both__EF3*Both
EF3 ~ IX__EF3*IX
UP1 ~ A__UP1*A
UP1 ~ P__UP1*P
UP2 ~ A__UP2*A
UP2 ~ P__UP2*P
UP3 ~ A__UP3*A
UP3 ~ P__UP3*P
UP3 ~ Both__UP3*Both
UP3 ~ IX__UP3*IX
SW1 ~ A__SW1*A
SW1 ~ P__SW1*P
SW2 ~ A__SW2*A
SW3 ~ P__SW3*P
SW2 ~ P__SW2*P
SW3 ~ A__SW3*A
SW3 ~ IX__SW3*IX
SW3 ~ Both__SW3*Both
#Task Modifications
Antisac1 ~ A_Antisac1*A
Antisac1 ~ P_Antisac1*P
Antisac2 ~ A_Antisac2*A
Antisac3 ~ P_Antisac3*P
Antisac2 ~ P_Antisac2*P
Antisac3 ~ A_Antisac3*A
Antisac3 ~ IX_Antisac3*IX
Antisac3 ~ Both_Antisac3*Both
! residuals, variances and covariances
!manifest variances
Antisac1 ~~ VAR_Antisac1*Antisac1
Antisac2 ~~ VAR_Antisac2*Antisac2
Antisac3 ~~ VAR_Antisac3*Antisac3
Stroop1 ~~ VAR_Stroop1*Stroop1
Stroop2 ~~ VAR_Stroop2*Stroop2
Stroop3 ~~ VAR_Stroop3*Stroop3
Keeptrk1 ~~ VAR_Keeptrk1*Keeptrk1
Keeptrk2 ~~ VAR_Keeptrk2*Keeptrk2
Keeptrk3 ~~ VAR_Keeptrk3*Keeptrk3
Letmem1 ~~ VAR_Letmem1*Letmem1
Letmem2 ~~ VAR_Letmem2*Letmem2
Letmem3 ~~ VAR_Letmem3*Letmem3
!Covariances of Letmem
!Letmem1 ~~ C_Letmem1_Letmem2*Letmem2
!Letmem1 ~~ C_Letmem1_Letmem3*Letmem3
!Letmem2 ~~ C_Letmem2_Letmem3*Letmem3
Nback1 ~~ VAR_Nback1*Nback1
Nback2 ~~ VAR_Nback2*Nback2
Nback3 ~~ VAR_Nback3*Nback3
Catswt1 ~~ VAR_Catswt1*Catswt1
Catswt2 ~~ VAR_Catswt2*Catswt2
Catswt3 ~~ VAR_Catswt3*Catswt3
Colswt1 ~~ VAR_Colswt1*Colswt1
Colswt2 ~~ VAR_Colswt2*Colswt2
Colswt3 ~~ VAR_Colswt3*Colswt3
Numswt1 ~~ VAR_Numswt1*Numswt1
Numswt2 ~~ VAR_Numswt2*Numswt2
Numswt3 ~~ VAR_Numswt3*Numswt3
!Task variances
AS ~~ VAR_AS*AS
STR ~~ VAR_STR*STR
Keep ~~ VAR_Keep*Keep
Let ~~ VAR_Let*Let
NB ~~ VAR_NB*NB
cat ~~ VAR_cat*cat
col ~~ VAR_col*col
Num ~~ VAR_Num*Num
!Superfactor Variances & Covariances
EF1 ~~ 1.0*EF1
EF2 ~~ 1.0*EF2
EF3 ~~ 1.0*EF3
EF1 ~~ 1*EF2
EF1 ~~ 1*EF3
EF2 ~~ 1*EF3
UP1 ~~ 1.0*UP1
UP2 ~~ 1.0*UP2
UP3 ~~ 1.0*UP3
UP1 ~~ 1*UP2
UP2 ~~ 1*UP3
UP1 ~~ 1*UP3
SW1 ~~ 1.0*SW1
SW2 ~~ 1.0*SW2
SW3 ~~ 1.0*SW3
SW1 ~~ 1*SW2
SW1 ~~ 1*SW3
SW2 ~~ 1*SW3
!Covariances of Updating with Switch
UP1 ~~ COV_UP1_SW1*SW1
UP2 ~~ COV_UP2_SW1*SW2
UP3 ~~ COV_UP3_SW1*SW3
! means
!Superfactor means for Ascending and Descending
EF2~const__EF2*1
EF3~const__EF3*1
UP2~const__UP2*1
UP3~const__UP3*1
SW2~const__SW2*1
SW3~const__SW3*1
!Task factor means
AS~0*1
STR~0*1
Keep~0*1
Let~0*1
NB~0*1
cat~0*1
col~0*1
Num~0*1
!Manifest Variable intercepts Free
Antisac1~Intercept*1;
Antisac2~Intercept*1;
Antisac3~Intercept*1;
Stroop1~Intercept*1;
Stroop2~Intercept*1;
Stroop3~Intercept*1;
Keeptrk1~Intercept*1;
Keeptrk2~Intercept*1;
Keeptrk3~Intercept*1;
Letmem1~Intercept*1;
Letmem2~Intercept*1;
Letmem3~Intercept*1;
Nback1~Intercept*1;
Nback2~Intercept*1;
Nback3~Intercept*1;
Catswt1~Intercept*1;
Catswt2~Intercept*1;
Catswt3~Intercept*1;
Colswt1~Intercept*1;
Colswt2~Intercept*1;
Colswt3~Intercept*1;
Numswt1~Intercept*1;
Numswt2~Intercept*1;
Numswt3~Intercept*1;
!Baseline superfactor means zeroed out
EF1~0*1;
EF2~NA*1;
EF3~NA*1;
UP1~0*1;
UP2~NA*1;
UP3~NA*1;
SW1~0*1;
SW2~NA*1;
SW3~NA*1;
"
GrowthModelResult<-lavaan(ModifiedModelFVI, data=ScaledData, fixed.x=TRUE, missing="FIML",
control = list(
optim.method = "NLMINB", # try "NLMINB" if needed
optim.maxit = 20000, # raise iteration cap
rel.tol = 1e-10, # tighter convergence tolerance
ftol = 1e-10 # function tolerance (if available in your lavaan)
));## Warning: lavaan->lav_object_post_check():
## covariance matrix of latent variables is not positive definite ; use
## lavInspect(fit, "cov.lv") to investigate.summary(GrowthModelResult, fit.measures=TRUE,standardized=TRUE);## Warning in pchisq(X2, df = df, ncp = ncp): NaNs produced
## Warning in pchisq(X2, df = df, ncp = ncp): NaNs produced## lavaan 0.6-19 ended normally after 201 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 155
## Number of equality constraints 51
##
## Number of observations 694
## Number of missing patterns 103
##
## Model Test User Model:
##
## Test statistic 397.565
## Degrees of freedom 316
## P-value (Chi-square) 0.001
##
## Model Test Baseline Model:
##
## Test statistic 4046.313
## Degrees of freedom 372
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.978
## Tucker-Lewis Index (TLI) 0.974
##
## Robust Comparative Fit Index (CFI) 0.006
## Robust Tucker-Lewis Index (TLI) -0.170
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -12348.847
## Loglikelihood unrestricted model (H1) -12150.064
##
## Akaike (AIC) 24905.693
## Bayesian (BIC) 25378.110
## Sample-size adjusted Bayesian (SABIC) 25047.892
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.019
## 90 Percent confidence interval - lower 0.013
## 90 Percent confidence interval - upper 0.025
## P-value H_0: RMSEA <= 0.050 1.000
## P-value H_0: RMSEA >= 0.080 0.000
##
## Robust RMSEA 2.434
## 90 Percent confidence interval - lower 0.000
## 90 Percent confidence interval - upper 0.000
## P-value H_0: Robust RMSEA <= 0.050 NaN
## P-value H_0: Robust RMSEA >= 0.080 NaN
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.056
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## AS =~
## Antisc1 1.000 0.495 0.512
## Antisc2 (AN2) 1.479 0.171 8.670 0.000 0.733 0.724
## Antisc3 (AN3) 1.078 0.100 10.811 0.000 0.534 0.557
## STR =~
## Stroop1 1.000 0.617 0.595
## Stroop2 (S2) 0.847 0.160 5.293 0.000 0.523 0.600
## Stroop3 (S3) 0.827 0.159 5.193 0.000 0.510 0.539
## Keep =~
## Keptrk1 1.000 0.500 0.507
## Keptrk2 (K2) 1.359 0.196 6.927 0.000 0.679 0.708
## Keptrk3 (K3) 1.089 0.160 6.823 0.000 0.544 0.555
## Let =~
## Letmem1 1.000 0.251 0.280
## Letmem2 (L2) 2.426 0.980 2.475 0.013 0.609 0.594
## Letmem3 (L3) 1.545 0.443 3.486 0.000 0.388 0.368
## NB =~
## Nback1 1.000 0.556 0.584
## Nback2 (N2) 1.233 0.113 10.879 0.000 0.686 0.710
## Nback3 (N3) 1.392 0.125 11.110 0.000 0.775 0.730
## cat =~
## Catswt1 1.000 0.523 0.528
## Catswt2 (A2) 0.718 0.255 2.811 0.005 0.376 0.388
## Catswt3 (A3) 0.615 0.212 2.906 0.004 0.322 0.342
## col =~
## Colswt1 1.000 0.309 0.294
## Colswt2 (O2) 2.016 0.645 3.124 0.002 0.622 0.634
## Colswt3 (O3) 1.143 0.280 4.084 0.000 0.353 0.396
## Num =~
## Numswt1 1.000 0.428 0.419
## Numswt2 (U2) 1.021 0.209 4.875 0.000 0.437 0.452
## Numswt3 (U3) 1.018 0.179 5.681 0.000 0.435 0.455
## EF1 =~
## Antisc1 (EFAn) 0.600 0.052 11.531 0.000 0.602 0.622
## Stroop1 (EFSt) 0.337 0.037 9.142 0.000 0.338 0.326
## Keptrk1 (EFKp) 0.220 0.040 5.469 0.000 0.220 0.224
## Letmem1 (EFLt) 0.276 0.042 6.537 0.000 0.277 0.309
## Nback1 (EFNb) 0.380 0.038 9.926 0.000 0.381 0.400
## Catswt1 (EFCt) 0.297 0.042 7.079 0.000 0.298 0.300
## Colswt1 (EFCl) 0.230 0.042 5.492 0.000 0.231 0.220
## Numswt1 (EFNm) 0.331 0.047 7.074 0.000 0.332 0.325
## EF2 =~
## Antisc2 (EFAn) 0.600 0.052 11.531 0.000 0.623 0.615
## Stroop2 (EFSt) 0.337 0.037 9.142 0.000 0.350 0.402
## Keptrk2 (EFKp) 0.220 0.040 5.469 0.000 0.228 0.238
## Letmem2 (EFLt) 0.276 0.042 6.537 0.000 0.287 0.280
## Nback2 (EFNb) 0.380 0.038 9.926 0.000 0.395 0.408
## Catswt2 (EFCt) 0.297 0.042 7.079 0.000 0.308 0.318
## Colswt2 (EFCl) 0.230 0.042 5.492 0.000 0.239 0.244
## Numswt2 (EFNm) 0.331 0.047 7.074 0.000 0.343 0.356
## EF3 =~
## Antisc3 (EFAn) 0.600 0.052 11.531 0.000 0.614 0.640
## Stroop3 (EFSt) 0.337 0.037 9.142 0.000 0.344 0.364
## Keptrk3 (EFKp) 0.220 0.040 5.469 0.000 0.225 0.229
## Letmem3 (EFLt) 0.276 0.042 6.537 0.000 0.283 0.268
## Nback3 (EFNb) 0.380 0.038 9.926 0.000 0.389 0.366
## Catswt3 (EFCt) 0.297 0.042 7.079 0.000 0.304 0.323
## Colswt3 (EFCl) 0.230 0.042 5.492 0.000 0.236 0.264
## Numswt3 (EFNm) 0.331 0.047 7.074 0.000 0.338 0.353
## UP1 =~
## Keptrk1 (UPKp) 0.396 0.037 10.718 0.000 0.397 0.403
## Letmem1 (UPLt) 0.544 0.045 12.066 0.000 0.546 0.609
## Nback1 (UPNb) 0.307 0.038 8.001 0.000 0.308 0.323
## UP2 =~
## Keptrk2 (UPKp) 0.396 0.037 10.718 0.000 0.486 0.507
## Letmem2 (UPLt) 0.544 0.045 12.066 0.000 0.669 0.651
## Nback2 (UPNb) 0.307 0.038 8.001 0.000 0.377 0.391
## UP3 =~
## Keptrk3 (UPKp) 0.396 0.037 10.718 0.000 0.471 0.480
## Letmem3 (UPLt) 0.544 0.045 12.066 0.000 0.648 0.614
## Nback3 (UPNb) 0.307 0.038 8.001 0.000 0.366 0.345
## SW1 =~
## Catswt1 (SWCt) 0.508 0.038 13.368 0.000 0.508 0.512
## Colswt1 (SWCl) 0.544 0.037 14.724 0.000 0.545 0.519
## Numswt1 (SWNm) 0.636 0.040 15.886 0.000 0.636 0.623
## SW2 =~
## Catswt2 (SWCt) 0.508 0.038 13.368 0.000 0.549 0.566
## Colswt2 (SWCl) 0.544 0.037 14.724 0.000 0.588 0.600
## Numswt2 (SWNm) 0.636 0.040 15.886 0.000 0.687 0.712
## SW3 =~
## Catswt3 (SWCt) 0.508 0.038 13.368 0.000 0.543 0.578
## Colswt3 (SWCl) 0.544 0.037 14.724 0.000 0.582 0.653
## Numswt3 (SWNm) 0.636 0.040 15.886 0.000 0.680 0.709
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## EF1 ~
## A (A__EF1) 0.094 0.187 0.503 0.615 0.094 0.044
## EF2 ~
## A (A__EF2) 0.383 0.303 1.262 0.207 0.368 0.174
## EF3 ~
## A (A__EF3) -0.176 0.339 -0.518 0.604 -0.172 -0.081
## EF1 ~
## P (P__EF1) -0.103 0.191 -0.539 0.590 -0.103 -0.048
## EF2 ~
## P (P__EF2) -0.308 0.285 -1.079 0.280 -0.297 -0.139
## EF3 ~
## P (P__EF3) -0.168 0.262 -0.639 0.523 -0.164 -0.077
## Both (B__E) -0.470 0.226 -2.077 0.038 -0.459 -0.230
## IX (IX__E) 0.222 0.432 0.514 0.607 0.217 0.083
## UP1 ~
## A (A__UP1) -0.180 0.135 -1.335 0.182 -0.179 -0.085
## P (P__UP1) -0.013 0.137 -0.097 0.923 -0.013 -0.006
## UP2 ~
## A (A__UP2) -1.519 0.287 -5.289 0.000 -1.237 -0.584
## P (P__UP2) -0.016 0.262 -0.060 0.952 -0.013 -0.006
## UP3 ~
## A (A__UP3) -0.928 0.304 -3.052 0.002 -0.780 -0.368
## P (P__UP3) 0.100 0.229 0.438 0.661 0.084 0.039
## Both (B__U) 0.929 0.222 4.178 0.000 0.780 0.390
## IX (IX__U) 0.054 0.379 0.143 0.887 0.045 0.017
## SW1 ~
## A (A__SW1) -0.064 0.116 -0.550 0.582 -0.064 -0.030
## P (P__SW1) 0.015 0.120 0.128 0.898 0.015 0.007
## SW2 ~
## A (A__SW2) -0.756 0.210 -3.597 0.000 -0.699 -0.330
## SW3 ~
## P (P__SW3) 0.010 0.168 0.057 0.954 0.009 0.004
## SW2 ~
## P (P__SW2) 0.195 0.198 0.984 0.325 0.180 0.084
## SW3 ~
## A (A__SW3) -0.060 0.216 -0.278 0.781 -0.056 -0.026
## IX (IX__S) -0.411 0.271 -1.514 0.130 -0.384 -0.146
## Both (B__S) 0.825 0.157 5.242 0.000 0.772 0.386
## Antisac1 ~
## A (A_A1) -0.140 0.107 -1.316 0.188 -0.140 -0.068
## P (P_A1) 0.017 0.109 0.160 0.873 0.017 0.008
## Antisac2 ~
## A (A_A2) -0.870 0.191 -4.560 0.000 -0.870 -0.406
## Antisac3 ~
## P (P_A3) 0.014 0.157 0.086 0.931 0.014 0.007
## Antisac2 ~
## P (P_A2) 0.028 0.171 0.162 0.871 0.028 0.013
## Antisac3 ~
## A (A_A3) -0.555 0.202 -2.748 0.006 -0.555 -0.274
## IX (IX_A) -0.095 0.280 -0.339 0.735 -0.095 -0.038
## Both (B_A3) 0.412 0.139 2.962 0.003 0.412 0.215
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .EF1 ~~
## .EF2 1.000 1.000 1.000
## .EF3 1.000 1.000 1.000
## .EF2 ~~
## .EF3 1.000 1.000 1.000
## .UP1 ~~
## .UP2 1.000 1.000 1.000
## .UP2 ~~
## .UP3 1.000 1.000 1.000
## .UP1 ~~
## .UP3 1.000 1.000 1.000
## .SW1 ~~
## .SW2 1.000 1.000 1.000
## .SW3 1.000 1.000 1.000
## .SW2 ~~
## .SW3 1.000 1.000 1.000
## .UP1 ~~
## .SW1 (COV_UP1) -0.007 0.040 -0.165 0.869 -0.007 -0.007
## .UP2 ~~
## .SW2 (COV_UP2) 0.007 0.059 0.118 0.906 0.007 0.007
## .UP3 ~~
## .SW3 (COV_UP3) -0.012 0.051 -0.235 0.815 -0.012 -0.012
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .EF2 (c__EF2) 0.871 0.128 6.819 0.000 0.838 0.838
## .EF3 (c__EF3) 1.056 0.136 7.778 0.000 1.032 1.032
## .UP2 (c__UP2) 0.604 0.164 3.673 0.000 0.491 0.491
## .UP3 (c__UP3) 0.395 0.176 2.240 0.025 0.332 0.332
## .SW2 (c__SW2) 0.170 0.126 1.347 0.178 0.157 0.157
## .SW3 (c__SW3) -0.053 0.129 -0.410 0.682 -0.049 -0.049
## AS 0.000 0.000 0.000
## STR 0.000 0.000 0.000
## Keep 0.000 0.000 0.000
## Let 0.000 0.000 0.000
## NB 0.000 0.000 0.000
## cat 0.000 0.000 0.000
## col 0.000 0.000 0.000
## Num 0.000 0.000 0.000
## .Ants1 (Intr) 9.853 0.032 308.951 0.000 9.853 10.188
## .Ants2 (Intr) 9.853 0.032 308.951 0.000 9.853 9.732
## .Ants3 (Intr) 9.853 0.032 308.951 0.000 9.853 10.284
## .Strp1 (Intr) 9.853 0.032 308.951 0.000 9.853 9.505
## .Strp2 (Intr) 9.853 0.032 308.951 0.000 9.853 11.314
## .Strp3 (Intr) 9.853 0.032 308.951 0.000 9.853 10.412
## .Kptr1 (Intr) 9.853 0.032 308.951 0.000 9.853 10.001
## .Kptr2 (Intr) 9.853 0.032 308.951 0.000 9.853 10.276
## .Kptr3 (Intr) 9.853 0.032 308.951 0.000 9.853 10.043
## .Ltmm1 (Intr) 9.853 0.032 308.951 0.000 9.853 10.985
## .Ltmm2 (Intr) 9.853 0.032 308.951 0.000 9.853 9.601
## .Ltmm3 (Intr) 9.853 0.032 308.951 0.000 9.853 9.343
## .Nbck1 (Intr) 9.853 0.032 308.951 0.000 9.853 10.334
## .Nbck2 (Intr) 9.853 0.032 308.951 0.000 9.853 10.200
## .Nbck3 (Intr) 9.853 0.032 308.951 0.000 9.853 9.291
## .Ctsw1 (Intr) 9.853 0.032 308.951 0.000 9.853 9.933
## .Ctsw2 (Intr) 9.853 0.032 308.951 0.000 9.853 10.165
## .Ctsw3 (Intr) 9.853 0.032 308.951 0.000 9.853 10.483
## .Clsw1 (Intr) 9.853 0.032 308.951 0.000 9.853 9.396
## .Clsw2 (Intr) 9.853 0.032 308.951 0.000 9.853 10.041
## .Clsw3 (Intr) 9.853 0.032 308.951 0.000 9.853 11.050
## .Nmsw1 (Intr) 9.853 0.032 308.951 0.000 9.853 9.647
## .Nmsw2 (Intr) 9.853 0.032 308.951 0.000 9.853 10.205
## .Nmsw3 (Intr) 9.853 0.032 308.951 0.000 9.853 10.284
## .EF1 0.000 0.000 0.000
## .UP1 0.000 0.000 0.000
## .SW1 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .Ant1 (VAR_A1) 0.329 0.029 11.417 0.000 0.329 0.352
## .Ant2 (VAR_A2) 0.053 0.039 1.344 0.179 0.053 0.052
## .Ant3 (VAR_A3) 0.188 0.024 7.883 0.000 0.188 0.204
## .Str1 (VAR_S1) 0.579 0.080 7.198 0.000 0.579 0.539
## .Str2 (VAR_S2) 0.363 0.062 5.869 0.000 0.363 0.478
## .Str3 (VAR_S3) 0.516 0.061 8.395 0.000 0.516 0.576
## .Kpt1 (VAR_K1) 0.515 0.049 10.585 0.000 0.515 0.531
## .Kpt2 (VAR_K2) 0.201 0.065 3.083 0.002 0.201 0.218
## .Kpt3 (VAR_K3) 0.411 0.051 8.015 0.000 0.411 0.427
## .Ltm1 (VAR_L1) 0.368 0.034 10.987 0.000 0.368 0.458
## .Ltm2 (VAR_L2) 0.206 0.131 1.579 0.114 0.206 0.196
## .Ltm3 (VAR_L3) 0.492 0.059 8.302 0.000 0.492 0.442
## .Nbc1 (VAR_Nb1) 0.361 0.034 10.710 0.000 0.361 0.397
## .Nbc2 (VAR_Nb2) 0.206 0.041 4.996 0.000 0.206 0.221
## .Nbc3 (VAR_Nb3) 0.263 0.048 5.507 0.000 0.263 0.234
## .Cts1 (VAR_Ct1) 0.364 0.095 3.836 0.000 0.364 0.370
## .Cts2 (VAR_Ct2) 0.436 0.064 6.777 0.000 0.436 0.464
## .Cts3 (VAR_Ct3) 0.415 0.046 9.095 0.000 0.415 0.470
## .Cls1 (VAR_Cl1) 0.655 0.048 13.695 0.000 0.655 0.595
## .Cls2 (VAR_Cl2) 0.200 0.118 1.698 0.090 0.200 0.208
## .Cls3 (VAR_Cl3) 0.295 0.041 7.263 0.000 0.295 0.371
## .Nms1 (VAR_Nm1) 0.347 0.037 9.491 0.000 0.347 0.332
## .Nms2 (VAR_Nm2) 0.198 0.035 5.583 0.000 0.198 0.213
## .Nms3 (VAR_Nm3) 0.183 0.032 5.810 0.000 0.183 0.199
## AS (VAR_AS) 0.245 0.061 4.034 0.000 1.000 1.000
## STR (VAR_ST) 0.381 0.088 4.331 0.000 1.000 1.000
## Keep (VAR_Kp) 0.250 0.055 4.537 0.000 1.000 1.000
## Let (VAR_Lt) 0.063 0.041 1.524 0.127 1.000 1.000
## NB (VAR_NB) 0.310 0.045 6.928 0.000 1.000 1.000
## cat (VAR_ct) 0.274 0.102 2.688 0.007 1.000 1.000
## col (VAR_cl) 0.095 0.044 2.157 0.031 1.000 1.000
## Num (VAR_Nm) 0.183 0.052 3.541 0.000 1.000 1.000
## .EF1 1.000 0.994 0.994
## .EF2 1.000 0.927 0.927
## .EF3 1.000 0.955 0.955
## .UP1 1.000 0.993 0.993
## .UP2 1.000 0.662 0.662
## .UP3 1.000 0.706 0.706
## .SW1 1.000 0.999 0.999
## .SW2 1.000 0.856 0.856
## .SW3 1.000 0.875 0.875strongCH <- '
CEF1 =~ l1*Antisac1 + l2*Stroop1 + l4*Keeptrk1 + l5*Letmem1 + l6*Nback1 + l7*Catswt1 + l8*Colswt1 + l9*Numswt1
CEF2 =~ l1*Antisac2 + l2*Stroop2 + l4*Keeptrk2 + l5*Letmem2 + l6*Nback2 + l7*Catswt2 + l8*Colswt2 + l9*Numswt2
CEF3 =~ l1*Antisac3 + l2*Stroop3 + l4*Keeptrk3 + l5*Letmem3 + l6*Nback3 + l7*Catswt3 + l8*Colswt3 + l9*Numswt3
UPD1 =~ l10*Keeptrk1 + l11*Letmem1 + l12*Nback1
UPD2 =~ l10*Keeptrk2 + l11*Letmem2 + l12*Nback2
UPD3 =~ l10*Keeptrk3 + l11*Letmem3 + l12*Nback3
SHI1 =~ l13*Catswt1 + l14*Colswt1 + l15*Numswt1
SHI2 =~ l13*Catswt2 + l14*Colswt2 + l15*Numswt2
SHI3 =~ l13*Catswt3 + l14*Colswt3 + l15*Numswt3
#Cholesky decomposition on factor residual covariance matrix
CEF1 ~~ 0*CEF1
UPD1 ~~ 0*UPD1
SHI1 ~~ 0*SHI1
CEF2 ~~ 0*CEF2
UPD2 ~~ 0*UPD2
SHI2 ~~ 0*SHI2
CEF3 ~~ 0*CEF3
UPD3 ~~ 0*UPD3
SHI3 ~~ 0*SHI3
ch1CEF =~ NA*CEF1 + CEF2 + CEF3
ch2CEF =~ NA*CEF2 + CEF3
ch3CEF =~ NA*CEF3
ch1CEF ~~ 1*ch1CEF
ch2CEF ~~ 1*ch2CEF
ch3CEF ~~ 1*ch3CEF
ch1UPD =~ NA*UPD1 + UPD2 + UPD3
ch2UPD =~ NA*UPD2 + UPD3
ch3UPD =~ NA*UPD3
ch1UPD ~~ 1*ch1UPD
ch2UPD ~~ 1*ch2UPD
ch3UPD ~~ 1*ch3UPD
ch1SHI =~ NA*SHI1 + SHI2 + SHI3
ch2SHI =~ NA*SHI2 + SHI3
ch3SHI =~ NA*SHI3
ch1SHI ~~ 1*ch1SHI
ch2SHI ~~ 1*ch2SHI
ch3SHI ~~ 1*ch3SHI
Antisac1 ~~ Antisac2 + Antisac3
Antisac2 ~~ Antisac3
Stroop1 ~~ Stroop2 + Stroop3
Stroop2 ~~ Stroop3
Keeptrk1 ~~ Keeptrk2 + Keeptrk3
Keeptrk2 ~~ Keeptrk3
Letmem1 ~~ Letmem2 + Letmem3
Letmem2 ~~ Letmem3
Nback1 ~~ Nback2 + Nback3
Nback2 ~~ Nback3
Catswt1 ~~ Catswt2 + Catswt3
Catswt2 ~~ Catswt3
Colswt1 ~~ Colswt2 + Colswt3
Colswt2 ~~ Colswt3
Numswt1 ~~ Numswt2 + Numswt3
Numswt2 ~~ Numswt3
CEF1 + CEF2 + CEF3 ~ A + P
UPD1 + UPD2 + UPD3 ~ A + P
SHI1 + SHI2 + SHI3 ~ A + P
CEF3 + UPD3 + SHI3 ~ Both + IX
#constrain intercepts
Antisac1 + Antisac2 + Antisac3 ~ m1*1
Stroop1 + Stroop2 + Stroop3 ~ m2*1
Keeptrk1 + Keeptrk2 + Keeptrk3 ~ m4*1
Letmem1 + Letmem2 + Letmem3 ~ m5*1
Nback1 + Nback2 + Nback3 ~ m6*1
Catswt1 + Catswt2 + Catswt3 ~ m7*1
Colswt1 + Colswt2 + Colswt3 ~ m8*1
Numswt1 + Numswt2 + Numswt3 ~ m9*1
CEF1 ~ 0*1
CEF2 ~ 1
CEF3 ~ 1
UPD1 ~ 0*1
UPD2 ~ 1
UPD3 ~ 1
SHI1 ~ 0*1
SHI2 ~ 1
SHI3 ~ 1
'fit_strongCH <- sem(strongCH, data = ScaledData,
missing = "ML", orthogonal = TRUE)
summary(fit_strongCH, fit.measures=TRUE,standardized=TRUE);## Warning in pchisq(X2, df = df, ncp = ncp): NaNs produced
## Warning in pchisq(X2, df = df, ncp = ncp): NaNs produced## lavaan 0.6-19 ended normally after 153 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 153
## Number of equality constraints 38
##
## Number of observations 694
## Number of missing patterns 103
##
## Model Test User Model:
##
## Test statistic 402.503
## Degrees of freedom 305
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 4046.313
## Degrees of freedom 372
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.973
## Tucker-Lewis Index (TLI) 0.968
##
## Robust Comparative Fit Index (CFI) 0.006
## Robust Tucker-Lewis Index (TLI) -0.212
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -12351.316
## Loglikelihood unrestricted model (H1) -12150.064
##
## Akaike (AIC) 24932.632
## Bayesian (BIC) 25455.016
## Sample-size adjusted Bayesian (SABIC) 25089.871
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.021
## 90 Percent confidence interval - lower 0.015
## 90 Percent confidence interval - upper 0.027
## P-value H_0: RMSEA <= 0.050 1.000
## P-value H_0: RMSEA >= 0.080 0.000
##
## Robust RMSEA 2.478
## 90 Percent confidence interval - lower 0.000
## 90 Percent confidence interval - upper 0.000
## P-value H_0: Robust RMSEA <= 0.050 NaN
## P-value H_0: Robust RMSEA >= 0.080 NaN
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.057
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## CEF1 =~
## Antisac1 (l1) 1.000 0.595 0.617
## Stroop1 (l2) 0.461 0.066 7.014 0.000 0.274 0.266
## Keeptrk1 (l4) 0.424 0.111 3.820 0.000 0.252 0.255
## Letmem1 (l5) 0.460 0.090 5.101 0.000 0.274 0.306
## Nback1 (l6) 0.662 0.107 6.178 0.000 0.393 0.418
## Catswt1 (l7) 0.429 0.074 5.782 0.000 0.255 0.256
## Colswt1 (l8) 0.351 0.082 4.287 0.000 0.209 0.197
## Numswt1 (l9) 0.574 0.104 5.528 0.000 0.341 0.330
## CEF2 =~
## Antisac2 (l1) 1.000 0.720 0.714
## Stroop2 (l2) 0.461 0.066 7.014 0.000 0.332 0.375
## Keeptrk2 (l4) 0.424 0.111 3.820 0.000 0.305 0.316
## Letmem2 (l5) 0.460 0.090 5.101 0.000 0.331 0.320
## Nback2 (l6) 0.662 0.107 6.178 0.000 0.476 0.481
## Catswt2 (l7) 0.429 0.074 5.782 0.000 0.309 0.323
## Colswt2 (l8) 0.351 0.082 4.287 0.000 0.253 0.258
## Numswt2 (l9) 0.574 0.104 5.528 0.000 0.413 0.433
## CEF3 =~
## Antisac3 (l1) 1.000 0.687 0.727
## Stroop3 (l2) 0.461 0.066 7.014 0.000 0.316 0.332
## Keeptrk3 (l4) 0.424 0.111 3.820 0.000 0.291 0.298
## Letmem3 (l5) 0.460 0.090 5.101 0.000 0.316 0.300
## Nback3 (l6) 0.662 0.107 6.178 0.000 0.454 0.424
## Catswt3 (l7) 0.429 0.074 5.782 0.000 0.294 0.315
## Colswt3 (l8) 0.351 0.082 4.287 0.000 0.241 0.275
## Numswt3 (l9) 0.574 0.104 5.528 0.000 0.394 0.417
## UPD1 =~
## Keeptrk1 (l10) 1.000 0.346 0.350
## Letmem1 (l11) 1.795 0.515 3.483 0.000 0.621 0.694
## Nback1 (l12) 0.664 0.141 4.704 0.000 0.230 0.244
## UPD2 =~
## Keeptrk2 (l10) 1.000 0.392 0.407
## Letmem2 (l11) 1.795 0.515 3.483 0.000 0.705 0.680
## Nback2 (l12) 0.664 0.141 4.704 0.000 0.261 0.263
## UPD3 =~
## Keeptrk3 (l10) 1.000 0.371 0.380
## Letmem3 (l11) 1.795 0.515 3.483 0.000 0.666 0.633
## Nback3 (l12) 0.664 0.141 4.704 0.000 0.247 0.230
## SHI1 =~
## Catswt1 (l13) 1.000 0.565 0.566
## Colswt1 (l14) 1.080 0.101 10.694 0.000 0.610 0.575
## Numswt1 (l15) 1.150 0.115 10.008 0.000 0.650 0.628
## SHI2 =~
## Catswt2 (l13) 1.000 0.503 0.525
## Colswt2 (l14) 1.080 0.101 10.694 0.000 0.543 0.555
## Numswt2 (l15) 1.150 0.115 10.008 0.000 0.578 0.605
## SHI3 =~
## Catswt3 (l13) 1.000 0.520 0.556
## Colswt3 (l14) 1.080 0.101 10.694 0.000 0.562 0.641
## Numswt3 (l15) 1.150 0.115 10.008 0.000 0.598 0.632
## ch1CEF =~
## CEF1 0.595 0.061 9.808 0.000 1.000 1.000
## CEF2 0.637 0.073 8.679 0.000 0.885 0.885
## CEF3 0.593 0.065 9.185 0.000 0.864 0.864
## ch2CEF =~
## CEF2 0.284 0.066 4.317 0.000 0.395 0.395
## CEF3 0.179 0.074 2.402 0.016 0.260 0.260
## ch3CEF =~
## CEF3 -0.188 0.063 -2.995 0.003 -0.273 -0.273
## ch1UPD =~
## UPD1 0.346 0.063 5.488 0.000 0.999 0.999
## UPD2 0.373 0.079 4.696 0.000 0.951 0.951
## UPD3 0.351 0.069 5.112 0.000 0.946 0.946
## ch2UPD =~
## UPD2 0.000 0.106 0.000 1.000 0.000 0.000
## UPD3 0.000 0.134 0.000 1.000 0.000 0.000
## ch3UPD =~
## UPD3 -0.000 0.104 -0.000 1.000 -0.000 -0.000
## ch1SHI =~
## SHI1 0.565 0.043 13.125 0.000 1.000 1.000
## SHI2 0.488 0.050 9.663 0.000 0.971 0.971
## SHI3 0.480 0.042 11.516 0.000 0.923 0.923
## ch2SHI =~
## SHI2 0.093 0.060 1.544 0.123 0.185 0.185
## SHI3 -0.162 0.051 -3.195 0.001 -0.312 -0.312
## ch3SHI =~
## SHI3 0.000 0.343 0.000 1.000 0.000 0.000
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## CEF1 ~
## A 0.009 0.082 0.112 0.911 0.016 0.007
## P -0.001 0.083 -0.013 0.990 -0.002 -0.001
## CEF2 ~
## A -0.416 0.121 -3.448 0.001 -0.578 -0.273
## P -0.116 0.112 -1.034 0.301 -0.161 -0.075
## CEF3 ~
## A -0.552 0.116 -4.759 0.000 -0.804 -0.380
## P -0.060 0.095 -0.628 0.530 -0.087 -0.041
## UPD1 ~
## A -0.001 0.046 -0.014 0.989 -0.002 -0.001
## P 0.026 0.047 0.564 0.573 0.076 0.036
## UPD2 ~
## A -0.249 0.099 -2.532 0.011 -0.636 -0.300
## P 0.015 0.076 0.196 0.844 0.038 0.018
## UPD3 ~
## A -0.087 0.109 -0.805 0.421 -0.235 -0.111
## P 0.073 0.063 1.169 0.243 0.198 0.093
## SHI1 ~
## A -0.024 0.070 -0.348 0.728 -0.043 -0.020
## P -0.029 0.071 -0.412 0.681 -0.051 -0.024
## SHI2 ~
## A -0.125 0.093 -1.342 0.179 -0.249 -0.118
## P 0.060 0.089 0.678 0.498 0.120 0.056
## SHI3 ~
## A 0.158 0.100 1.579 0.114 0.304 0.144
## P -0.019 0.072 -0.269 0.788 -0.037 -0.017
## CEF3 ~
## Both 0.075 0.074 1.013 0.311 0.109 0.055
## IX 0.104 0.129 0.809 0.419 0.152 0.058
## UPD3 ~
## Both 0.205 0.063 3.271 0.001 0.552 0.276
## IX -0.002 0.100 -0.019 0.985 -0.005 -0.002
## SHI3 ~
## Both 0.275 0.058 4.755 0.000 0.529 0.264
## IX -0.211 0.101 -2.094 0.036 -0.405 -0.154
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .Antisac1 ~~
## .Antisac2 0.352 0.074 4.766 0.000 0.352 0.657
## .Antisac3 0.271 0.066 4.106 0.000 0.271 0.550
## .Antisac2 ~~
## .Antisac3 0.342 0.085 4.045 0.000 0.342 0.748
## .Stroop1 ~~
## .Stroop2 0.345 0.054 6.447 0.000 0.345 0.424
## .Stroop3 0.342 0.047 7.211 0.000 0.342 0.383
## .Stroop2 ~~
## .Stroop3 0.290 0.054 5.361 0.000 0.290 0.393
## .Keeptrk1 ~~
## .Keeptrk2 0.366 0.058 6.259 0.000 0.366 0.503
## .Keeptrk3 0.298 0.049 6.087 0.000 0.298 0.394
## .Keeptrk2 ~~
## .Keeptrk3 0.383 0.056 6.797 0.000 0.383 0.553
## .Letmem1 ~~
## .Letmem2 0.044 0.114 0.390 0.696 0.044 0.115
## .Letmem3 0.006 0.109 0.054 0.957 0.006 0.014
## .Letmem2 ~~
## .Letmem3 0.113 0.124 0.908 0.364 0.113 0.234
## .Nback1 ~~
## .Nback2 0.393 0.048 8.178 0.000 0.393 0.585
## .Nback3 0.452 0.045 10.053 0.000 0.452 0.590
## .Nback2 ~~
## .Nback3 0.526 0.060 8.771 0.000 0.526 0.692
## .Catswt1 ~~
## .Catswt2 0.187 0.053 3.510 0.000 0.187 0.321
## .Catswt3 0.176 0.039 4.552 0.000 0.176 0.314
## .Catswt2 ~~
## .Catswt3 0.140 0.048 2.916 0.004 0.140 0.260
## .Colswt1 ~~
## .Colswt2 0.184 0.052 3.510 0.000 0.184 0.284
## .Colswt3 0.103 0.039 2.637 0.008 0.103 0.194
## .Colswt2 ~~
## .Colswt3 0.250 0.047 5.355 0.000 0.250 0.517
## .Numswt1 ~~
## .Numswt2 0.218 0.046 4.703 0.000 0.218 0.478
## .Numswt3 0.227 0.040 5.689 0.000 0.227 0.502
## .Numswt2 ~~
## .Numswt3 0.251 0.048 5.281 0.000 0.251 0.647
## ch1CEF ~~
## ch2CEF 0.000 0.000 0.000
## ch3CEF 0.000 0.000 0.000
## ch1UPD 0.000 0.000 0.000
## ch2UPD 0.000 0.000 0.000
## ch3UPD 0.000 0.000 0.000
## ch1SHI 0.000 0.000 0.000
## ch2SHI 0.000 0.000 0.000
## ch3SHI 0.000 0.000 0.000
## ch2CEF ~~
## ch3CEF 0.000 0.000 0.000
## ch1UPD 0.000 0.000 0.000
## ch2UPD 0.000 0.000 0.000
## ch3UPD 0.000 0.000 0.000
## ch1SHI 0.000 0.000 0.000
## ch2SHI 0.000 0.000 0.000
## ch3SHI 0.000 0.000 0.000
## ch3CEF ~~
## ch1UPD 0.000 0.000 0.000
## ch2UPD 0.000 0.000 0.000
## ch3UPD 0.000 0.000 0.000
## ch1SHI 0.000 0.000 0.000
## ch2SHI 0.000 0.000 0.000
## ch3SHI 0.000 0.000 0.000
## ch1UPD ~~
## ch2UPD 0.000 0.000 0.000
## ch3UPD 0.000 0.000 0.000
## ch1SHI 0.000 0.000 0.000
## ch2SHI 0.000 0.000 0.000
## ch3SHI 0.000 0.000 0.000
## ch2UPD ~~
## ch3UPD 0.000 0.000 0.000
## ch1SHI 0.000 0.000 0.000
## ch2SHI 0.000 0.000 0.000
## ch3SHI 0.000 0.000 0.000
## ch3UPD ~~
## ch1SHI 0.000 0.000 0.000
## ch2SHI 0.000 0.000 0.000
## ch3SHI 0.000 0.000 0.000
## ch1SHI ~~
## ch2SHI 0.000 0.000 0.000
## ch3SHI 0.000 0.000 0.000
## ch2SHI ~~
## ch3SHI 0.000 0.000 0.000
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .Antisac1 (m1) 9.772 0.060 164.163 0.000 9.772 10.137
## .Antisac2 (m1) 9.772 0.060 164.163 0.000 9.772 9.697
## .Antisac3 (m1) 9.772 0.060 164.163 0.000 9.772 10.348
## .Stroop1 (m2) 9.902 0.043 231.418 0.000 9.902 9.627
## .Stroop2 (m2) 9.902 0.043 231.418 0.000 9.902 11.189
## .Stroop3 (m2) 9.902 0.043 231.418 0.000 9.902 10.382
## .Keeptrk1 (m4) 9.830 0.045 217.311 0.000 9.830 9.938
## .Keeptrk2 (m4) 9.830 0.045 217.311 0.000 9.830 10.191
## .Keeptrk3 (m4) 9.830 0.045 217.311 0.000 9.830 10.060
## .Letmem1 (m5) 9.769 0.057 170.529 0.000 9.769 10.912
## .Letmem2 (m5) 9.769 0.057 170.529 0.000 9.769 9.432
## .Letmem3 (m5) 9.769 0.057 170.529 0.000 9.769 9.281
## .Nback1 (m6) 9.805 0.047 208.920 0.000 9.805 10.414
## .Nback2 (m6) 9.805 0.047 208.920 0.000 9.805 9.906
## .Nback3 (m6) 9.805 0.047 208.920 0.000 9.805 9.154
## .Catswt1 (m7) 9.878 0.054 183.189 0.000 9.878 9.904
## .Catswt2 (m7) 9.878 0.054 183.189 0.000 9.878 10.323
## .Catswt3 (m7) 9.878 0.054 183.189 0.000 9.878 10.569
## .Colswt1 (m8) 9.890 0.056 175.283 0.000 9.890 9.328
## .Colswt2 (m8) 9.890 0.056 175.283 0.000 9.890 10.112
## .Colswt3 (m8) 9.890 0.056 175.283 0.000 9.890 11.281
## .Numswt1 (m9) 9.838 0.060 162.845 0.000 9.838 9.516
## .Numswt2 (m9) 9.838 0.060 162.845 0.000 9.838 10.297
## .Numswt3 (m9) 9.838 0.060 162.845 0.000 9.838 10.401
## .CEF1 0.000 0.000 0.000
## .CEF2 0.547 0.070 7.829 0.000 0.760 0.760
## .CEF3 0.686 0.067 10.228 0.000 0.999 0.999
## .UPD1 0.000 0.000 0.000
## .UPD2 0.196 0.084 2.345 0.019 0.500 0.500
## .UPD3 0.092 0.092 0.997 0.319 0.247 0.247
## .SHI1 0.000 0.000 0.000
## .SHI2 0.084 0.070 1.188 0.235 0.167 0.167
## .SHI3 -0.050 0.077 -0.648 0.517 -0.096 -0.096
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .CEF1 0.000 0.000 0.000
## .UPD1 0.000 0.000 0.000
## .SHI1 0.000 0.000 0.000
## .CEF2 0.000 0.000 0.000
## .UPD2 0.000 0.000 0.000
## .SHI2 0.000 0.000 0.000
## .CEF3 0.000 0.000 0.000
## .UPD3 0.000 0.000 0.000
## .SHI3 0.000 0.000 0.000
## ch1CEF 1.000 1.000 1.000
## ch2CEF 1.000 1.000 1.000
## ch3CEF 1.000 1.000 1.000
## ch1UPD 1.000 1.000 1.000
## ch2UPD 1.000 1.000 1.000
## ch3UPD 1.000 1.000 1.000
## ch1SHI 1.000 1.000 1.000
## ch2SHI 1.000 1.000 1.000
## ch3SHI 1.000 1.000 1.000
## .Antisac1 0.576 0.070 8.269 0.000 0.576 0.619
## .Stroop1 0.983 0.056 17.513 0.000 0.983 0.929
## .Keeptrk1 0.795 0.054 14.791 0.000 0.795 0.813
## .Letmem1 0.341 0.107 3.196 0.001 0.341 0.425
## .Nback1 0.679 0.042 16.232 0.000 0.679 0.766
## .Catswt1 0.611 0.045 13.669 0.000 0.611 0.614
## .Colswt1 0.708 0.052 13.526 0.000 0.708 0.630
## .Numswt1 0.530 0.047 11.289 0.000 0.530 0.496
## .Antisac2 0.497 0.104 4.804 0.000 0.497 0.490
## .Stroop2 0.673 0.070 9.577 0.000 0.673 0.859
## .Keeptrk2 0.666 0.074 9.029 0.000 0.666 0.716
## .Letmem2 0.433 0.140 3.094 0.002 0.433 0.404
## .Nback2 0.667 0.072 9.274 0.000 0.667 0.681
## .Catswt2 0.558 0.071 7.814 0.000 0.558 0.610
## .Colswt2 0.590 0.073 8.107 0.000 0.590 0.616
## .Numswt2 0.393 0.063 6.214 0.000 0.393 0.431
## .Antisac3 0.420 0.083 5.070 0.000 0.420 0.471
## .Stroop3 0.810 0.061 13.182 0.000 0.810 0.890
## .Keeptrk3 0.718 0.060 11.873 0.000 0.718 0.752
## .Letmem3 0.536 0.130 4.133 0.000 0.536 0.483
## .Nback3 0.865 0.068 12.705 0.000 0.865 0.754
## .Catswt3 0.518 0.048 10.748 0.000 0.518 0.593
## .Colswt3 0.397 0.044 9.120 0.000 0.397 0.516
## .Numswt3 0.384 0.047 8.150 0.000 0.384 0.430Model fit indices (unscaled). ΔBIC (Modified FVI − Strong CH) =
-82.977.
Measure Modified FVI Strong CH ChiSq 411.121 402.503 df 319 305 p 0 0
CFI 0.975 0.973 TLI 0.971 0.968 RMSEA 0.02 0.021 SRMR 0.057 0.057 AIC
24913.25 24932.632 BIC 25372.039 25455.016