Empowerment and Satisfaction in Minority and Majority Faculty Members
Setup
p_load(lavaan, dplyr, psych, janitor, sjmisc, semPlot)
FITM <- c("chisq", "df", "nPar", "cfi", "rmsea", "rmsea.ci.lower", "rmsea.ci.upper")
data$racedi <- rec(data$race_col, rec = "1 = 0; 2,3,4,5,6 = 1") #"White" and "non-White"
data <- subset(data, racedi == 0 | racedi == 1)
WData <- subset(data, racedi == 0)
NWData <- subset(data, racedi == 1)Cutoff p-Value
NP <- function(N, S = 2){
NP = 1-pnorm(qnorm(1-(N^(-6/5))/S))
return(NP)}Analysis
Measurement Invariance
Fit the cumulative configural model.
FacultyModel <- '
Efficacy =~ emp_workconfident + emp_workcapability + emp_masterskills +
emp_capabilitysuccess
Trust =~ emp_trustcoworkers + emp_trustshare + emp_trustpromises + emp_coworkerscare
PersonalConsequence =~ emp_workimpact + emp_controlunit + emp_infuenceunit +
emp_opinioncounts
SelfDetermination =~ emp_workautonomy + emp_decidemywork + emp_independence +
emp_personalinitiative
Meaning =~ emp_workimp + emp_workmeaning + emp_carework + emp_workspecial
Satisfaction =~ satis_mywork + satis_coworkerswork + satis_inst
Satisfaction ~ Efficacy + Trust + PersonalConsequence + SelfDetermination + Meaning'
FacultyFit <- cfa(FacultyModel, data, std.lv = T, estimator = "DWLS")
summary(FacultyFit, stand = T, fit = T)## lavaan 0.6-9 ended normally after 65 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 61
##
## Used Total
## Number of observations 720 756
##
## Model Test User Model:
##
## Test statistic 433.200
## Degrees of freedom 215
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 15009.529
## Degrees of freedom 253
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.985
## Tucker-Lewis Index (TLI) 0.983
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.038
## 90 Percent confidence interval - lower 0.032
## 90 Percent confidence interval - upper 0.043
## P-value RMSEA <= 0.05 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.066
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Unstructured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_workcnfdnt 0.644 0.029 22.486 0.000 0.644 0.800
## emp_workcpblty 0.656 0.030 22.129 0.000 0.656 0.838
## emp_mastrsklls 0.469 0.023 20.779 0.000 0.469 0.543
## emp_cpbltysccs 0.675 0.031 21.633 0.000 0.675 0.845
## Trust =~
## emp_trstcwrkrs 1.507 0.033 45.174 0.000 1.507 0.893
## emp_trustshare 1.585 0.035 45.374 0.000 1.585 0.926
## emp_trustprmss 1.542 0.034 45.089 0.000 1.542 0.925
## emp_coworkrscr 1.534 0.036 43.082 0.000 1.534 0.888
## PersonalConsequence =~
## emp_workimpact 1.274 0.034 37.690 0.000 1.274 0.783
## emp_controlunt 1.298 0.034 38.169 0.000 1.298 0.803
## emp_infuencent 1.452 0.036 40.443 0.000 1.452 0.855
## emp_opinincnts 1.576 0.038 41.353 0.000 1.576 0.912
## SelfDetermination =~
## emp_workautnmy 0.784 0.031 25.398 0.000 0.784 0.763
## emp_decidmywrk 0.741 0.031 24.290 0.000 0.741 0.782
## emp_independnc 0.987 0.037 26.754 0.000 0.987 0.882
## emp_persnlnttv 0.717 0.028 25.787 0.000 0.717 0.778
## Meaning =~
## emp_workimp 0.560 0.025 22.835 0.000 0.560 0.685
## emp_workmeanng 0.896 0.036 24.744 0.000 0.896 0.916
## emp_carework 0.591 0.028 20.901 0.000 0.591 0.771
## emp_workspecil 0.748 0.034 22.231 0.000 0.748 0.798
## Satisfaction =~
## satis_mywork 0.282 0.030 9.261 0.000 0.499 0.549
## sats_cwrkrswrk 0.529 0.056 9.365 0.000 0.934 0.834
## satis_inst 0.428 0.046 9.391 0.000 0.756 0.609
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy -0.141 0.108 -1.312 0.190 -0.080 -0.080
## Trust 0.979 0.199 4.909 0.000 0.554 0.554
## PersonalCnsqnc 0.161 0.183 0.878 0.380 0.091 0.091
## SelfDetermintn 0.377 0.123 3.061 0.002 0.213 0.213
## Meaning 0.384 0.110 3.503 0.000 0.217 0.217
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.182 0.016 11.170 0.000 0.182 0.182
## PersonalCnsqnc 0.205 0.018 11.265 0.000 0.205 0.205
## SelfDetermintn 0.455 0.028 16.042 0.000 0.455 0.455
## Meaning 0.612 0.034 18.269 0.000 0.612 0.612
## Trust ~~
## PersonalCnsqnc 0.787 0.020 38.423 0.000 0.787 0.787
## SelfDetermintn 0.407 0.019 21.305 0.000 0.407 0.407
## Meaning 0.290 0.017 16.661 0.000 0.290 0.290
## PersonalConsequence ~~
## SelfDetermintn 0.574 0.025 22.699 0.000 0.574 0.574
## Meaning 0.306 0.020 14.982 0.000 0.306 0.306
## SelfDetermination ~~
## Meaning 0.437 0.028 15.442 0.000 0.437 0.437
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 0.233 0.083 2.810 0.005 0.233 0.360
## .emp_workcpblty 0.182 0.095 1.918 0.055 0.182 0.297
## .emp_mastrsklls 0.526 0.068 7.718 0.000 0.526 0.705
## .emp_cpbltysccs 0.183 0.086 2.135 0.033 0.183 0.287
## .emp_trstcwrkrs 0.576 0.157 3.659 0.000 0.576 0.202
## .emp_trustshare 0.417 0.175 2.389 0.017 0.417 0.142
## .emp_trustprmss 0.403 0.167 2.410 0.016 0.403 0.145
## .emp_coworkrscr 0.630 0.188 3.356 0.001 0.630 0.211
## .emp_workimpact 1.026 0.162 6.319 0.000 1.026 0.387
## .emp_controlunt 0.931 0.162 5.755 0.000 0.931 0.356
## .emp_infuencent 0.776 0.171 4.533 0.000 0.776 0.269
## .emp_opinincnts 0.505 0.199 2.538 0.011 0.505 0.169
## .emp_workautnmy 0.442 0.118 3.753 0.000 0.442 0.418
## .emp_decidmywrk 0.350 0.107 3.273 0.001 0.350 0.389
## .emp_independnc 0.277 0.137 2.030 0.042 0.277 0.222
## .emp_persnlnttv 0.337 0.093 3.612 0.000 0.337 0.395
## .emp_workimp 0.355 0.085 4.204 0.000 0.355 0.531
## .emp_workmeanng 0.154 0.113 1.357 0.175 0.154 0.161
## .emp_carework 0.239 0.086 2.766 0.006 0.239 0.406
## .emp_workspecil 0.318 0.106 3.016 0.003 0.318 0.363
## .satis_mywork 0.576 0.068 8.455 0.000 0.576 0.698
## .sats_cwrkrswrk 0.381 0.095 4.008 0.000 0.381 0.304
## .satis_inst 0.971 0.074 13.143 0.000 0.971 0.629
## Efficacy 1.000 1.000 1.000
## Trust 1.000 1.000 1.000
## PersonalCnsqnc 1.000 1.000 1.000
## SelfDetermintn 1.000 1.000 1.000
## Meaning 1.000 1.000 1.000
## .Satisfaction 1.000 0.321 0.321LATS <- list(
EFE = c("emp_workconfident", "emp_workcapability", "emp_masterskills", "emp_capabilitysuccess"),
TRU = c("emp_trustcoworkers", "emp_trustshare", "emp_trustpromises", "emp_coworkerscare"),
PCO = c("emp_workimpact", "emp_controlunit", "emp_infuenceunit", "emp_opinioncounts"),
SDE =c("emp_workautonomy", "emp_decidemywork", "emp_independence", "emp_personalinitiative"),
MEA = c("emp_workimp", "emp_workmeaning", "emp_carework", "emp_workspecial"),
SAT = c("satis_mywork", "satis_coworkerswork", "satis_inst"))
semPaths(FacultyFit, "model", "std", title = F, residuals = F, groups = "LATS", pastel = T, mar = c(2, 1, 3, 1), layout = "circle3", exoVar = F, exoCov = F)
Fit the multi-group models.
MG1 <- cfa(FacultyModel, data, std.lv = T, group = "racedi", estimator = "DWLS")## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negativeMG2 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS" ,
group.equal = "loadings")## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2MG3 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS" ,
group.equal = c("loadings", "intercepts"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2MG4 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS" ,
group.equal = c("loadings", "intercepts", "residuals"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2MG5 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS" ,
group.equal = c("loadings", "intercepts", "residuals", "lv.variances"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2## Warning in lav_object_post_check(object): lavaan WARNING: covariance matrix of latent variables
## is not positive definite in group 2;
## use lavInspect(fit, "cov.lv") to investigate.MG6 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS" ,
group.equal = c("loadings", "intercepts", "residuals", "lv.variances",
"lv.covariances"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2MG7 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS" ,
group.equal = c("loadings", "intercepts", "residuals", "lv.variances",
"lv.covariances", "regressions"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2MG8 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS" ,
group.equal = c("loadings", "intercepts", "residuals", "lv.variances",
"lv.covariances", "regressions", "means"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2round(cbind(CONFIGURAL = fitMeasures(MG1, FITM),
METRIC = fitMeasures(MG2, FITM),
SCALAR = fitMeasures(MG3, FITM),
STRICT = fitMeasures(MG4, FITM),
LVARS = fitMeasures(MG5, FITM),
LCOVS = fitMeasures(MG6, FITM),
REGS = fitMeasures(MG7, FITM),
MEANS = fitMeasures(MG8, FITM)), 3)## CONFIGURAL METRIC SCALAR STRICT LVARS LCOVS REGS
## chisq 530.066 610.595 617.708 630.744 667.133 763.889 791.969
## df 430.000 447.000 464.000 487.000 493.000 503.000 508.000
## npar 168.000 151.000 134.000 111.000 105.000 95.000 90.000
## cfi 0.993 0.989 0.990 0.991 0.989 0.983 0.982
## rmsea 0.025 0.032 0.030 0.029 0.031 0.038 0.039
## rmsea.ci.lower 0.017 0.025 0.024 0.022 0.025 0.032 0.034
## rmsea.ci.upper 0.032 0.038 0.037 0.035 0.037 0.043 0.045
## MEANS
## chisq 812.361
## df 514.000
## npar 84.000
## cfi 0.981
## rmsea 0.040
## rmsea.ci.lower 0.035
## rmsea.ci.upper 0.0451-pchisq(610.595-530.066, 17) ## [1] 3.088658e-101-pchisq(617.708-610.595, 17) ## [1] 0.98203781-pchisq(630.744-617.708, 23) ## [1] 0.95120511-pchisq(667.133-630.744, 6) ## [1] 2.315954e-061-pchisq(763.889-667.133, 10) ## [1] 2.220446e-161-pchisq(791.969-763.889, 5) ## [1] 3.511123e-051-pchisq(812.361-791.969, 6) ## [1] 0.002357654There are apparently numerous violations of measurement invariance.
PMG2 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS",
group.equal = "loadings",
group.partial = c("Efficacy =~ emp_workcapability",
"Meaning =~ emp_workspecial",
"SelfDetermination =~ emp_decidemywork"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2## Warning in lav_object_post_check(object): lavaan WARNING: some estimated ov
## variances are negativeMG3 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS" ,
group.equal = c("loadings", "intercepts"),
group.partial = c("Efficacy =~ emp_workcapability",
"Meaning =~ emp_workspecial",
"SelfDetermination =~ emp_decidemywork"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2
## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: some estimated ov variances are negativeMG4 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS" ,
group.equal = c("loadings", "intercepts", "residuals"),
group.partial = c("Efficacy =~ emp_workcapability",
"Meaning =~ emp_workspecial",
"SelfDetermination =~ emp_decidemywork"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2MG5 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS" ,
group.equal = c("loadings", "intercepts", "residuals", "lv.variances"),
group.partial = c("Efficacy =~ emp_workcapability",
"Meaning =~ emp_workspecial",
"SelfDetermination =~ emp_decidemywork"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2PMG5 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS",
group.equal = c("loadings", "intercepts", "residuals", "lv.variances"),
group.partial = c("Efficacy =~ emp_workcapability",
"Meaning =~ emp_workspecial",
"SelfDetermination =~ emp_decidemywork",
"SelfDetermination ~~ SelfDetermination"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2MG6 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS",
group.equal = c("loadings", "intercepts", "residuals",
"lv.variances", "lv.covariances"),
group.partial = c("Efficacy =~ emp_workcapability",
"Meaning =~ emp_workspecial",
"SelfDetermination =~ emp_decidemywork",
"SelfDetermination ~~ SelfDetermination"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2PMG6 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS",
group.equal = c("loadings", "intercepts", "residuals",
"lv.variances", "lv.covariances"),
group.partial = c("Efficacy =~ emp_workcapability", "Meaning =~ emp_workspecial",
"SelfDetermination =~ emp_decidemywork",
"SelfDetermination ~~ SelfDetermination",
"Trust ~~ SelfDetermination",
"PersonalConsequence ~~ SelfDetermination"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2MG7 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS",
group.equal = c("loadings", "intercepts", "residuals", "lv.variances",
"lv.covariances", "regressions"),
group.partial = c("Efficacy =~ emp_workcapability",
"Meaning =~ emp_workspecial",
"SelfDetermination =~ emp_decidemywork",
"SelfDetermination ~~ SelfDetermination",
"Trust ~~ SelfDetermination",
"PersonalConsequence ~~ SelfDetermination"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2MG8 <- cfa(FacultyModel, data, std.lv = F, group = "racedi", estimator = "DWLS",
group.equal = c("loadings", "intercepts", "residuals", "lv.variances",
"lv.covariances", "regressions", "means"),
group.partial = c("Efficacy =~ emp_workcapability",
"Meaning =~ emp_workspecial",
"SelfDetermination =~ emp_decidemywork",
"SelfDetermination ~~ SelfDetermination",
"Trust ~~ SelfDetermination",
"PersonalConsequence ~~ SelfDetermination"))## Warning in lav_samplestats_from_data(lavdata = lavdata, lavoptions = lavoptions, : lavaan WARNING: number of observations (115) too small to compute Gamma in group: 2round(cbind(CONFIGURAL = fitMeasures(MG1, FITM),
METRIC = fitMeasures(MG2, FITM),
PMETRIC = fitMeasures(PMG2, FITM),
SCALAR = fitMeasures(MG3, FITM),
STRICT = fitMeasures(MG4, FITM),
LVARS = fitMeasures(MG5, FITM),
PLVARS = fitMeasures(PMG5, FITM),
LCOVS = fitMeasures(MG6, FITM),
PLCOVS = fitMeasures(PMG6, FITM),
REGS = fitMeasures(MG7, FITM),
MEANS = fitMeasures(MG8, FITM)), 3)## CONFIGURAL METRIC PMETRIC SCALAR STRICT LVARS PLVARS
## chisq 530.066 610.595 568.912 576.408 589.662 617.986 604.320
## df 430.000 447.000 444.000 461.000 484.000 490.000 489.000
## npar 168.000 151.000 154.000 137.000 114.000 108.000 109.000
## cfi 0.993 0.989 0.992 0.992 0.993 0.992 0.992
## rmsea 0.025 0.032 0.028 0.026 0.025 0.027 0.026
## rmsea.ci.lower 0.017 0.025 0.021 0.019 0.017 0.020 0.018
## rmsea.ci.upper 0.032 0.038 0.035 0.033 0.031 0.033 0.032
## LCOVS PLCOVS REGS MEANS
## chisq 680.754 629.955 653.113 673.031
## df 499.000 497.000 502.000 508.000
## npar 99.000 101.000 96.000 90.000
## cfi 0.988 0.991 0.990 0.989
## rmsea 0.032 0.027 0.029 0.030
## rmsea.ci.lower 0.026 0.020 0.022 0.024
## rmsea.ci.upper 0.038 0.034 0.035 0.036NP(nrow(data)) #Cutoff## [1] 0.00017568871-pchisq(610.595-530.066, 15) #Fail## [1] 5.589351e-111-pchisq(568.912-530.066, 14) #Partial Metric ## [1] 0.00038525421-pchisq(576.408-568.912, 17) #Pass## [1] 0.97617121-pchisq(589.662-576.408, 23) #Pass## [1] 0.94626551-pchisq(617.986-589.662, 6) #Fail## [1] 8.163748e-051-pchisq(604.320-589.662, 5) #Partial Latent Variances ## [1] 0.011928111-pchisq(680.754-604.320, 9) #Fail## [1] 8.228973e-131-pchisq(629.955-604.320, 8) #Partial Latent Covariances## [1] 0.0012124471-pchisq(653.113-629.955, 5) #Pass## [1] 0.00031487711-pchisq(673.031-653.113, 6) #Pass## [1] 0.002864008Effect Sizes for Noninvariance
These are for the means of observed variables. There are presently not effect sizes for effects on latent variances but the residual indicator variances are A-alright!
#From Gunn, Grimm & Edwards (2019)
SDI2.UDI2 = function(p, loading1, loading2, intercept1, intercept2, stdev2,
fmean2, fsd2, nodewidth = 0.01, lowerLV = -5, upperLV = 5) {
LV = seq(lowerLV,upperLV,nodewidth)
DiffExpItem12 = matrix(NA,length(LV),p)
pdfLV2 = matrix(NA,length(LV),1)
SDI2numerator = matrix(NA,length(LV),p)
UDI2numerator = matrix(NA,length(LV),p)
SDI2 = matrix(NA,p,1)
UDI2 = matrix(NA,p,1)
for(j in 1:p){
for(k in 1:length(LV)){
DiffExpItem12[k,j] <- (intercept1[j]-intercept2[j]) + (loading1[j]-loading2[j])*LV[k]
pdfLV2[k] = dnorm(LV[k], mean=fmean2, sd=fsd2)
SDI2numerator[k,j] = DiffExpItem12[k,j]*pdfLV2[k]*nodewidth
UDI2numerator[k,j] = abs(SDI2numerator[k,j])
}
SDI2[j] <- sum(SDI2numerator[,j])/stdev2[j]
UDI2[j] <- sum(UDI2numerator[,j])/stdev2[j]
}
colnames(SDI2) = "SDI2"
colnames(UDI2) = "UDI2"
return(list(SDI2=round(SDI2,4), UDI2=round(UDI2,4)))}Parameters must come from MG7 lest the mean effect is estimated at 0. The white group is the second group since they have a larger n, and thus the variance on their summary statistics should be reduced.
data %>% group_by(racedi) %>% summarise_at(vars(emp_workconfident, emp_workcapability,
emp_masterskills, emp_capabilitysuccess), list(sd = sd), na.rm = T)data %>% group_by(racedi) %>% summarise_at(vars(emp_workautonomy, emp_decidemywork,
emp_independence, emp_personalinitiative), list(sd = sd), na.rm = T)data %>% group_by(racedi) %>% summarise_at(vars(emp_workimp, emp_workmeaning,
emp_carework, emp_workspecial), list(sd = sd), na.rm = T)summary(MG7, stand = T, fit = T); standardizedsolution(MG7)## lavaan 0.6-9 ended normally after 127 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 174
## Number of equality constraints 78
##
## Number of observations per group: Used Total
## 0 605 635
## 1 115 121
##
## Model Test User Model:
##
## Test statistic 653.113
## Degrees of freedom 502
## P-value (Chi-square) 0.000
## Test statistic for each group:
## 0 441.796
## 1 211.317
##
## Model Test Baseline Model:
##
## Test statistic 15860.597
## Degrees of freedom 506
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.990
## Tucker-Lewis Index (TLI) 0.990
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.029
## 90 Percent confidence interval - lower 0.022
## 90 Percent confidence interval - upper 0.035
## P-value RMSEA <= 0.05 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.076
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Unstructured
##
##
## Group 1 [0]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.640 0.811
## emp_wrk 0.855 0.051 16.666 0.000 0.547 0.771
## emp_mst (.p3.) 0.739 0.046 15.998 0.000 0.473 0.547
## emp_cpb (.p4.) 1.036 0.059 17.446 0.000 0.663 0.834
## Trust =~
## emp_trs 1.000 1.508 0.893
## emp_trs (.p6.) 1.052 0.033 32.036 0.000 1.587 0.927
## emp_trs (.p7.) 1.022 0.032 31.860 0.000 1.541 0.925
## emp_cwr (.p8.) 1.018 0.033 31.208 0.000 1.535 0.889
## PersonalConsequence =~
## emp_wrk 1.000 1.271 0.781
## emp_cnt (.10.) 1.020 0.036 27.954 0.000 1.296 0.800
## emp_nfn (.11.) 1.143 0.040 28.783 0.000 1.453 0.855
## emp_pnn (.12.) 1.238 0.042 29.178 0.000 1.574 0.910
## SelfDetermination =~
## emp_wrk 1.000 0.737 0.743
## emp_dcd 0.896 0.046 19.432 0.000 0.660 0.753
## emp_ndp (.15.) 1.264 0.058 21.719 0.000 0.931 0.862
## emp_prs (.16.) 0.913 0.044 20.619 0.000 0.673 0.787
## Meaning =~
## emp_wrk 1.000 0.565 0.717
## emp_wrk (.18.) 1.545 0.083 18.645 0.000 0.873 0.901
## emp_crw (.19.) 1.018 0.059 17.281 0.000 0.575 0.768
## emp_wrk 1.185 0.069 17.301 0.000 0.670 0.754
## Satisfaction =~
## sts_myw 1.000 0.502 0.553
## sts_cwr (.22.) 1.846 0.081 22.768 0.000 0.927 0.835
## sts_nst (.23.) 1.510 0.069 21.898 0.000 0.758 0.611
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficcy (.24.) -0.033 0.045 -0.747 0.455 -0.043 -0.043
## Trust (.25.) 0.164 0.027 6.071 0.000 0.492 0.492
## PrsnlCn (.26.) 0.075 0.038 2.001 0.045 0.191 0.191
## SlfDtrm (.27.) 0.087 0.036 2.425 0.015 0.127 0.127
## Meaning (.28.) 0.202 0.048 4.173 0.000 0.227 0.227
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust (.58.) 0.171 0.016 10.500 0.000 0.177 0.177
## PrsnlCn (.59.) 0.165 0.015 10.662 0.000 0.203 0.203
## SlfDtrm (.60.) 0.234 0.015 15.261 0.000 0.495 0.495
## Meaning (.61.) 0.217 0.014 15.512 0.000 0.600 0.600
## Trust ~~
## PrsnlCn (.62.) 1.502 0.052 28.608 0.000 0.784 0.784
## SlfDtrm 0.426 0.024 17.858 0.000 0.383 0.383
## Meaning (.64.) 0.242 0.016 14.912 0.000 0.285 0.285
## PersonalConsequence ~~
## SlfDtrm 0.524 0.028 18.893 0.000 0.560 0.560
## Meaning (.66.) 0.219 0.016 13.679 0.000 0.305 0.305
## SelfDetermination ~~
## Meaning (.67.) 0.175 0.012 15.115 0.000 0.420 0.420
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.449 0.030 213.786 0.000 6.449 8.170
## .emp_wrk (.69.) 6.495 0.029 227.611 0.000 6.495 9.150
## .emp_mst (.70.) 6.262 0.033 192.203 0.000 6.262 7.241
## .emp_cpb (.71.) 6.460 0.030 212.648 0.000 6.460 8.127
## .emp_trs (.72.) 4.585 0.064 71.424 0.000 4.585 2.715
## .emp_trs (.73.) 4.786 0.065 73.119 0.000 4.786 2.797
## .emp_trs (.74.) 4.739 0.064 74.173 0.000 4.739 2.844
## .emp_cwr (.75.) 4.984 0.066 75.457 0.000 4.984 2.887
## .emp_wrk (.76.) 5.164 0.062 83.371 0.000 5.164 3.174
## .emp_cnt (.77.) 5.135 0.062 83.112 0.000 5.135 3.172
## .emp_nfn (.78.) 4.940 0.065 76.061 0.000 4.940 2.908
## .emp_pnn (.79.) 5.177 0.066 78.399 0.000 5.177 2.995
## .emp_wrk (.80.) 6.245 0.038 163.202 0.000 6.245 6.300
## .emp_dcd (.81.) 6.339 0.035 183.580 0.000 6.339 7.230
## .emp_ndp (.82.) 6.180 0.042 146.259 0.000 6.180 5.726
## .emp_prs (.83.) 6.347 0.033 190.971 0.000 6.347 7.430
## .emp_wrk (.84.) 6.471 0.030 215.661 0.000 6.471 8.214
## .emp_wrk (.85.) 6.221 0.037 168.218 0.000 6.221 6.422
## .emp_crw (.86.) 6.555 0.029 229.849 0.000 6.555 8.759
## .emp_wrk (.87.) 6.346 0.036 178.655 0.000 6.346 7.145
## .sts_myw (.88.) 4.251 0.034 123.300 0.000 4.251 4.684
## .sts_cwr (.89.) 3.803 0.044 86.285 0.000 3.803 3.425
## .sts_nst (.90.) 3.304 0.047 69.685 0.000 3.304 2.663
## Efficcy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PrsnlCn 0.000 0.000 0.000
## SlfDtrm 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Stsfctn 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.213 0.076 2.803 0.005 0.213 0.343
## .emp_wrk (.30.) 0.205 0.076 2.710 0.007 0.205 0.406
## .emp_mst (.31.) 0.524 0.068 7.702 0.000 0.524 0.701
## .emp_cpb (.32.) 0.192 0.079 2.427 0.015 0.192 0.304
## .emp_trs (.33.) 0.580 0.157 3.690 0.000 0.580 0.203
## .emp_trs (.34.) 0.410 0.174 2.356 0.018 0.410 0.140
## .emp_trs (.35.) 0.402 0.167 2.407 0.016 0.402 0.145
## .emp_cwr (.36.) 0.625 0.187 3.335 0.001 0.625 0.210
## .emp_wrk (.37.) 1.033 0.162 6.381 0.000 1.033 0.390
## .emp_cnt (.38.) 0.941 0.162 5.829 0.000 0.941 0.359
## .emp_nfn (.39.) 0.776 0.171 4.537 0.000 0.776 0.269
## .emp_pnn (.40.) 0.511 0.198 2.578 0.010 0.511 0.171
## .emp_wrk (.41.) 0.440 0.109 4.025 0.000 0.440 0.448
## .emp_dcd (.42.) 0.333 0.089 3.754 0.000 0.333 0.433
## .emp_ndp (.43.) 0.299 0.131 2.277 0.023 0.299 0.256
## .emp_prs (.44.) 0.277 0.069 4.042 0.000 0.277 0.380
## .emp_wrk (.45.) 0.302 0.077 3.917 0.000 0.302 0.486
## .emp_wrk (.46.) 0.177 0.107 1.646 0.100 0.177 0.188
## .emp_crw (.47.) 0.230 0.079 2.888 0.004 0.230 0.410
## .emp_wrk (.48.) 0.340 0.094 3.636 0.000 0.340 0.431
## .sts_myw (.49.) 0.572 0.068 8.412 0.000 0.572 0.694
## .sts_cwr (.50.) 0.374 0.094 3.976 0.000 0.374 0.303
## .sts_nst (.51.) 0.965 0.074 13.007 0.000 0.965 0.626
## Efficcy (.52.) 0.410 0.034 11.976 0.000 1.000 1.000
## Trust (.53.) 2.273 0.100 22.657 0.000 1.000 1.000
## PrsnlCn (.54.) 1.615 0.085 18.916 0.000 1.000 1.000
## SlfDtrm 0.543 0.042 12.774 0.000 1.000 1.000
## Meaning (.56.) 0.319 0.027 11.912 0.000 1.000 1.000
## .Stsfctn (.57.) 0.086 0.017 5.025 0.000 0.343 0.343
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.640 0.811
## emp_wrk 1.711 0.173 9.909 0.000 1.095 0.924
## emp_mst (.p3.) 0.739 0.046 15.998 0.000 0.473 0.547
## emp_cpb (.p4.) 1.036 0.059 17.446 0.000 0.663 0.834
## Trust =~
## emp_trs 1.000 1.508 0.893
## emp_trs (.p6.) 1.052 0.033 32.036 0.000 1.587 0.927
## emp_trs (.p7.) 1.022 0.032 31.860 0.000 1.541 0.925
## emp_cwr (.p8.) 1.018 0.033 31.208 0.000 1.535 0.889
## PersonalConsequence =~
## emp_wrk 1.000 1.271 0.781
## emp_cnt (.10.) 1.020 0.036 27.954 0.000 1.296 0.800
## emp_nfn (.11.) 1.143 0.040 28.783 0.000 1.453 0.855
## emp_pnn (.12.) 1.238 0.042 29.178 0.000 1.574 0.910
## SelfDetermination =~
## emp_wrk 1.000 0.937 0.816
## emp_dcd 1.160 0.102 11.323 0.000 1.087 0.883
## emp_ndp (.15.) 1.264 0.058 21.719 0.000 1.183 0.908
## emp_prs (.16.) 0.913 0.044 20.619 0.000 0.855 0.851
## Meaning =~
## emp_wrk 1.000 0.565 0.717
## emp_wrk (.18.) 1.545 0.083 18.645 0.000 0.873 0.901
## emp_crw (.19.) 1.018 0.059 17.281 0.000 0.575 0.768
## emp_wrk 2.027 0.182 11.158 0.000 1.145 0.891
## Satisfaction =~
## sts_myw 1.000 0.517 0.564
## sts_cwr (.22.) 1.846 0.081 22.768 0.000 0.954 0.842
## sts_nst (.23.) 1.510 0.069 21.898 0.000 0.781 0.622
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficcy (.24.) -0.033 0.045 -0.747 0.455 -0.041 -0.041
## Trust (.25.) 0.164 0.027 6.071 0.000 0.478 0.478
## PrsnlCn (.26.) 0.075 0.038 2.001 0.045 0.185 0.185
## SlfDtrm (.27.) 0.087 0.036 2.425 0.015 0.157 0.157
## Meaning (.28.) 0.202 0.048 4.173 0.000 0.221 0.221
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust (.58.) 0.171 0.016 10.500 0.000 0.177 0.177
## PrsnlCn (.59.) 0.165 0.015 10.662 0.000 0.203 0.203
## SlfDtrm (.60.) 0.234 0.015 15.261 0.000 0.390 0.390
## Meaning (.61.) 0.217 0.014 15.512 0.000 0.600 0.600
## Trust ~~
## PrsnlCn (.62.) 1.502 0.052 28.608 0.000 0.784 0.784
## SlfDtrm 0.758 0.062 12.169 0.000 0.537 0.537
## Meaning (.64.) 0.242 0.016 14.912 0.000 0.285 0.285
## PersonalConsequence ~~
## SlfDtrm 0.774 0.070 11.092 0.000 0.650 0.650
## Meaning (.66.) 0.219 0.016 13.679 0.000 0.305 0.305
## SelfDetermination ~~
## Meaning (.67.) 0.175 0.012 15.115 0.000 0.331 0.331
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.449 0.030 213.786 0.000 6.449 8.170
## .emp_wrk (.69.) 6.495 0.029 227.611 0.000 6.495 5.483
## .emp_mst (.70.) 6.262 0.033 192.203 0.000 6.262 7.241
## .emp_cpb (.71.) 6.460 0.030 212.648 0.000 6.460 8.127
## .emp_trs (.72.) 4.585 0.064 71.424 0.000 4.585 2.715
## .emp_trs (.73.) 4.786 0.065 73.119 0.000 4.786 2.797
## .emp_trs (.74.) 4.739 0.064 74.173 0.000 4.739 2.844
## .emp_cwr (.75.) 4.984 0.066 75.457 0.000 4.984 2.887
## .emp_wrk (.76.) 5.164 0.062 83.371 0.000 5.164 3.174
## .emp_cnt (.77.) 5.135 0.062 83.112 0.000 5.135 3.172
## .emp_nfn (.78.) 4.940 0.065 76.061 0.000 4.940 2.908
## .emp_pnn (.79.) 5.177 0.066 78.399 0.000 5.177 2.995
## .emp_wrk (.80.) 6.245 0.038 163.202 0.000 6.245 5.442
## .emp_dcd (.81.) 6.339 0.035 183.580 0.000 6.339 5.152
## .emp_ndp (.82.) 6.180 0.042 146.259 0.000 6.180 4.741
## .emp_prs (.83.) 6.347 0.033 190.971 0.000 6.347 6.320
## .emp_wrk (.84.) 6.471 0.030 215.661 0.000 6.471 8.214
## .emp_wrk (.85.) 6.221 0.037 168.218 0.000 6.221 6.422
## .emp_crw (.86.) 6.555 0.029 229.849 0.000 6.555 8.759
## .emp_wrk (.87.) 6.346 0.036 178.655 0.000 6.346 4.938
## .sts_myw (.88.) 4.251 0.034 123.300 0.000 4.251 4.641
## .sts_cwr (.89.) 3.803 0.044 86.285 0.000 3.803 3.355
## .sts_nst (.90.) 3.304 0.047 69.685 0.000 3.304 2.633
## Efficcy -0.008 0.040 -0.190 0.849 -0.012 -0.012
## Trust 0.024 0.082 0.297 0.767 0.016 0.016
## PrsnlCn -0.034 0.076 -0.449 0.653 -0.027 -0.027
## SlfDtrm -0.234 0.056 -4.140 0.000 -0.250 -0.250
## Meaning -0.041 0.036 -1.140 0.254 -0.073 -0.073
## .Stsfctn -0.013 0.047 -0.268 0.789 -0.024 -0.024
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.213 0.076 2.803 0.005 0.213 0.343
## .emp_wrk (.30.) 0.205 0.076 2.710 0.007 0.205 0.146
## .emp_mst (.31.) 0.524 0.068 7.702 0.000 0.524 0.701
## .emp_cpb (.32.) 0.192 0.079 2.427 0.015 0.192 0.304
## .emp_trs (.33.) 0.580 0.157 3.690 0.000 0.580 0.203
## .emp_trs (.34.) 0.410 0.174 2.356 0.018 0.410 0.140
## .emp_trs (.35.) 0.402 0.167 2.407 0.016 0.402 0.145
## .emp_cwr (.36.) 0.625 0.187 3.335 0.001 0.625 0.210
## .emp_wrk (.37.) 1.033 0.162 6.381 0.000 1.033 0.390
## .emp_cnt (.38.) 0.941 0.162 5.829 0.000 0.941 0.359
## .emp_nfn (.39.) 0.776 0.171 4.537 0.000 0.776 0.269
## .emp_pnn (.40.) 0.511 0.198 2.578 0.010 0.511 0.171
## .emp_wrk (.41.) 0.440 0.109 4.025 0.000 0.440 0.334
## .emp_dcd (.42.) 0.333 0.089 3.754 0.000 0.333 0.220
## .emp_ndp (.43.) 0.299 0.131 2.277 0.023 0.299 0.176
## .emp_prs (.44.) 0.277 0.069 4.042 0.000 0.277 0.275
## .emp_wrk (.45.) 0.302 0.077 3.917 0.000 0.302 0.486
## .emp_wrk (.46.) 0.177 0.107 1.646 0.100 0.177 0.188
## .emp_crw (.47.) 0.230 0.079 2.888 0.004 0.230 0.410
## .emp_wrk (.48.) 0.340 0.094 3.636 0.000 0.340 0.206
## .sts_myw (.49.) 0.572 0.068 8.412 0.000 0.572 0.681
## .sts_cwr (.50.) 0.374 0.094 3.976 0.000 0.374 0.291
## .sts_nst (.51.) 0.965 0.074 13.007 0.000 0.965 0.613
## Efficcy (.52.) 0.410 0.034 11.976 0.000 1.000 1.000
## Trust (.53.) 2.273 0.100 22.657 0.000 1.000 1.000
## PrsnlCn (.54.) 1.615 0.085 18.916 0.000 1.000 1.000
## SlfDtrm 0.877 0.103 8.525 0.000 1.000 1.000
## Meaning (.56.) 0.319 0.027 11.912 0.000 1.000 1.000
## .Stsfctn (.57.) 0.086 0.017 5.025 0.000 0.323 0.323#Parameters for Efficacy
Ep = 4; El1 = c(0, 0.924, 0, 0); El2 = c(0, 0.771, 0, 0); Ei1 = c(0, 0, 0, 0)
Ei2 = c(0, 0, 0, 0); Esd = c(0.782, 0.766, 0.863, 0.790); Efm = 0.012; Efsd = 1
#Parameters for Self-determination
Sp = 4; Sl1 = c(0, 0.883, 0, 0); Sl2 = c(0, 0.753, 0, 0); Si1 = c(0, 0, 0, 0)
Si2 = c(0, 0, 0, 0); Ssd = c(0.773, 0.989, 0.741, 0.920); Sfm = 0.250; Sfsd = 0.295
#Parameters for Meaning
Mp = 4; Ml1 = c(0, 0, 0, 0.891); Ml2 = c(0, 0, 0, 0.754); Mi1 = c(0, 0, 0, 0)
Mi2 = c(0, 0, 0, 0); Msd = c(0.995, 0.904, 1.104, 0.897); Mfm = 0.073; Mfsd = 1
EES <- SDI2.UDI2(Ep, El1, El2, Ei1, Ei2, Esd, Efm, Efsd)
SES <- SDI2.UDI2(Sp, Sl1, Sl2, Si1, Si2, Ssd, Sfm, Sfsd)
MES <- SDI2.UDI2(Mp, Ml1, Ml2, Mi1, Mi2, Msd, Mfm, Mfsd)
#Get the right magnitudes and signs
SUDI <- function(SDI, UDI){
D <- ifelse(SDI < 0, -1, 1)
H = D * UDI
return(H)}
SUDI(EES$SDI2, EES$UDI2); SUDI(SES$SDI2, SES$UDI2); SUDI(MES$SDI2, MES$UDI2)## SDI2
## [1,] 0.0000
## [2,] 0.1594
## [3,] 0.0000
## [4,] 0.0000## SDI2
## [1,] 0.0000
## [2,] 0.0414
## [3,] 0.0000
## [4,] 0.0000## SDI2
## [1,] 0.0000
## [2,] 0.0000
## [3,] 0.0000
## [4,] 0.1222The magnitude of bias to the means of observed variables is small but
directionally consistent. In total, the means of the variables
work capability, decide my work, and
work special are slightly higher than expected in the
non-White group. The variance of the self determination factor is 0.877
in the non-White group and 0.543 in the White one, indicating greater
breadth and potentially additional influences in the former (see
Cronbach, 1947; DeShon, 2004). Similarly, self-determination is more
strongly related to trust (\(B =\)
0.537 vs 0.383) and personal consequence (0.650 vs 0.560) for non-Whites
compared to Whites.
Conclusions
Qualitatively, the results of this analysis are as follows: (our measures of) work capability, decide my work, and work special are more strongly related to (our proposed constructs of) efficacy, self-determination, and meaning in non-Whites, there may be additional influences on self-determination for non-Whites, and self-determination is more strongly related to trust and personal consequence for non-Whites in this dataset. There are many potential explanations for these findings.
Limitations
Due to sample size limitations, the reliability of the estimated effects is questionable. Moreover, the same sample size limitations made the groups quite strange, as “non-White” is not nearly homogeneous enough for many cultural explanations of these findings, but the comparison had to be done in terms of White vis-a-vis non-White due to the available sample sizes (which may have resulted in misestimated gamma coefficients, which may explain differences in the latent covariances). For the same reason, I could not perform training and testing on separate subsets, nor could I resample from either group to approximate the measured characteristics of the other group for further attempts at result confirmation. As such, the results must be regarded as exploratory and interpretation qualified accordingly. Generalization from small samples is dubious, but from small samples that are selected, it is even more so; projecting these results beyond the academic area in which they came from and the sampling procedure used may not be advisable. Replication is deserved and investigation of the substantive conclusions that could be made from these data is warranted.
References
Gunn, H. J., Grimm, K. J., & Edwards, M. C. (2019). Evaluation of Six Effect Size Measures of Measurement Non-Invariance for Continuous Outcomes. Structural Equation Modeling: A Multidisciplinary Journal, 27(4), 503–514. https://doi.org/10.1080/10705511.2019.1689507
Cronbach, L. J. (1947). Test “reliability”: Its meaning and determination. Psychometrika, 12(1), 1–16. https://doi.org/10.1007/BF02289289
DeShon, R. P. (2004). Measures are not invariant across groups without error variance homogeneity. Psychology Science, 46(1), 137–149.
Postscript: Reviewer Additions
Reviewers asked for summary statistics, so we have provided summary statistics for the whole dataset, the White subset, and the non-White subset. Reviewers asked for “results of a variance analysis”, but it was unclear what they meant by this, so we provided Bartlett’s sphericity test. Reviewers asked for information like factor covariances, so we added full model outputs for every model and have added Cronbach’s alphas. This output is very long, but we felt is answered reviewers’ questions in a straightforward way.
"describe" <-
function (x,na.rm=TRUE,interp=FALSE,skew=TRUE,ranges=TRUE,trim=.1,type=3,check=TRUE,fast=NULL,quant=NULL,IQR=FALSE,omit=FALSE,data=NULL){
if(inherits(x,"formula")) {ps <- fparse(x)
if(missing(data)) {
x <- get(ps$y)
group <- x[,ps$x]} else {x <- data[ps$y]
group <- data[ps$x]
}
describeBy(x,group=group,na.rm=na.rm,interp=interp,skew=skew,ranges=ranges,trim=trim,type=type,check=check,fast=fast,quant=quant,IQR=IQR,omit=omit,data=data)
} else {
cl <- match.call()
valid <- function(x) {sum(!is.na(x))}
if(!na.rm) x <- na.omit(x)
if(is.null(fast)) {
if (prod(dim(x)) > 10^7) {fast <- TRUE } else {fast <- FALSE}}
if(fast) {skew <- FALSE}
numstats <- 10 + length(quant) + IQR
cn <- "X1"
if ( NCOL(x) < 2) {if(is.data.frame(x)) {
if( !is.numeric(x[,1])) {warning ("You were trying to describe a non-numeric data.frame or vector which describe converted to numeric.")
x[,1] <- as.numeric(as.factor(x[,]))}
if(!is.null(colnames(x))) {cn <- colnames(x)} else {cn <- "X1"}
x <- x[,1] }
len <- 1
nvar <- 1
stats = matrix(rep(NA,numstats),ncol=numstats)
stats[1, 1] <- valid(x )
stats[1, 2] <- mean(x, na.rm=na.rm )
stats[1,10] <- sd(x,na.rm=na.rm)
if(interp) {stats[1, 3] <- interp.median(x,na.rm=na.rm ) } else {stats[1,3] <- median(x,na.rm=na.rm) }
stats[1,9] <- mean(x,na.rm=na.rm, trim=trim)
stats[1, 4] <- min(x, na.rm=na.rm )
stats[1, 5] <- max(x, na.rm=na.rm )
stats[1, 6] <- skew(x,na.rm=na.rm,type=type )
stats[1,7] <- mad(x,na.rm=na.rm)
stats[1,8] <- kurtosi(x,na.rm=na.rm,type=type)
vars <- 1
if(!is.null(quant)) { Qnt <- quantile(x,prob=quant,na.rm=TRUE)
stats[1,(IQR+11):numstats] <- t(Qnt)}
if(IQR) {Quart <- t(quantile(x,prob=c(.25,.75),na.rm=TRUE))
Iqr <- Quart[,2] -Quart[,1]
stats[1,11] <- Iqr}
rownames(stats) <- cn} else {
nvar <- ncol(x)
stats = matrix(rep(NA,nvar*numstats),ncol=numstats)
if(is.null(colnames(x))) colnames(x) <- paste0("X",1:ncol(x))
rownames(stats) <- colnames(x)
stats[,1] <- apply(x,2,valid)
vars <- c(1:nvar)
select <- 1:nvar
if(!is.matrix(x) && check) {
for(i in 1:nvar) {
if(!is.numeric(x[[i]] )) {
if(fast) {x[[i]] <- NA} else {
if(omit) {select[i] <- NA}
if(is.factor(unlist(x[[i]])) | is.character(unlist(x[[i]]))) { x[[i]] <- as.numeric(as.factor(x[[i]]))
rownames(stats)[i] <- paste(rownames(stats)[i],"*",sep="")} else {x[[i]] <- NA}}}}}
select <- select[!is.na(select)]
x <- as.matrix(x[,select])
vars <- vars[select]
stats <- stats[select,]
if(!is.numeric(x)) {message("Converted non-numeric matrix input to numeric. Are you sure you wanted to do this. Please check your data")
x <- matrix(as.numeric(x),ncol=nvar)
rownames(stats) <- paste0(rownames(stats),"*")}
stats[,2] <- apply(x, 2,mean,na.rm=na.rm )
stats[,10] <- apply(x,2,sd,na.rm=na.rm)
if (skew) {stats[, 6] <- skew(x,na.rm=na.rm,type=type )
stats[,8] <- kurtosi(x,na.rm=na.rm,type=type)}
if(ranges) {
if(fast) {
stats[,4] <- apply(x,2,min,na.rm=na.rm)
stats[,5] <- apply(x,2,max,na.rm = na.rm)
} else {
stats[, 4] <- apply(x,2,min, na.rm=na.rm )
stats[, 5] <- apply(x,2,max, na.rm=na.rm )
stats[,7] <- apply(x,2,mad, na.rm=na.rm)
stats[,9] <- apply(x,2, mean,na.rm=na.rm,trim=trim)
if(interp) {stats[, 3] <- apply(x,2,interp.median,na.rm=na.rm ) } else {stats[,3] <- apply(x,2,median,na.rm=na.rm) }}}
if(!is.null(quant)) { Qnt <- apply(x,2,quantile,prob=quant,na.rm=TRUE)
stats[,(IQR+11):numstats] <- t(Qnt)}
if(IQR) {Quart <- t(apply(x,2,quantile,prob=c(.25,.75),na.rm=TRUE))
Iqr <- Quart[,2] - Quart[,1]
stats[,11] <- Iqr}}
if (numstats > (10 + IQR)) {
colnames(stats)[(11+IQR):numstats] <- paste0("Q",quant[1:length(quant)])}
if(fast) { answer <- data.frame(vars=vars,n = stats[,1],mean=stats[,2], sd = stats[,10],se=stats[,10]/sqrt(stats[,1])) } #minimal case
if(skew) {
if(ranges) { answer <- data.frame(vars=vars,n = stats[,1],mean=stats[,2], sd = stats[,10], median = stats[, 3],trimmed =stats[,9], mad = stats[,7], min= stats[,4],max=stats[,5],
range=stats[,5]-stats[,4],skew = stats[, 6], kurtosis = stats[,8],se=stats[,10]/sqrt(stats[,1])) } else {
answer <- data.frame(vars=vars,n = stats[,1],mean=stats[,2], sd = stats[,10],skew = stats[, 6], kurtosis = stats[,8],se=stats[,10]/sqrt(stats[,1])) }
} else {if(ranges) {answer <- data.frame(vars=vars,n = stats[,1],mean=stats[,2], sd = stats[,10],min= stats[,4],max=stats[,5], range=stats[,5]-stats[,4],se=stats[,10]/sqrt(stats[,1])) } else {
answer <- data.frame(vars=vars,n = stats[,1],mean=stats[,2], sd = stats[,10],se=stats[,10]/sqrt(stats[,1]))}}
if(IQR) answer <- data.frame(answer,IQR=stats[,11])
if (numstats > (10+ IQR)) {if(nvar > 1 ) {answer <- data.frame(answer, stats[,(IQR+11):numstats])
} else {
answer <- data.frame(answer, t(stats[,(IQR+11):numstats])) }}
class(answer) <- c("psych", "data.frame")
return(answer)}}
#Summary Statistics
describe(data)## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Infdescribe(WData)## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Infdescribe(NWData)## Warning in FUN(newX[, i], ...): no non-missing arguments to min; returning Inf
## Warning in FUN(newX[, i], ...): no non-missing arguments to max; returning -Inf#Bartlett's Sphericity Test
cortest.bartlett(cor(data[c(18:37, 57:59)], use = "pairwise.complete.obs"), n = nrow(data))## $chisq
## [1] 12899.25
##
## $p.value
## [1] 0
##
## $df
## [1] 253cortest.bartlett(cor(WData[c(18:37, 57:59)], use = "pairwise.complete.obs"), n = nrow(WData))## $chisq
## [1] 10999.68
##
## $p.value
## [1] 0
##
## $df
## [1] 253cortest.bartlett(cor(NWData[c(18:37, 57:59)], use = "pairwise.complete.obs"), n = nrow(NWData))## $chisq
## [1] 2393.558
##
## $p.value
## [1] 0
##
## $df
## [1] 253#Model Outputs
summary(MG1, stand = T, fit = T)## lavaan 0.6-9 ended normally after 140 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 168
##
## Number of observations per group: Used Total
## 0 605 635
## 1 115 121
##
## Model Test User Model:
##
## Test statistic 530.066
## Degrees of freedom 430
## P-value (Chi-square) 0.001
## Test statistic for each group:
## 0 422.217
## 1 107.849
##
## Model Test Baseline Model:
##
## Test statistic 15860.597
## Degrees of freedom 506
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.993
## Tucker-Lewis Index (TLI) 0.992
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.025
## 90 Percent confidence interval - lower 0.017
## 90 Percent confidence interval - upper 0.032
## P-value RMSEA <= 0.05 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.068
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Unstructured
##
##
## Group 1 [0]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_workcnfdnt 0.654 0.029 22.659 0.000 0.654 0.838
## emp_workcpblty 0.544 0.022 24.596 0.000 0.544 0.758
## emp_mastrsklls 0.498 0.024 20.327 0.000 0.498 0.575
## emp_cpbltysccs 0.672 0.030 22.693 0.000 0.672 0.849
## Trust =~
## emp_trstcwrkrs 1.501 0.037 41.125 0.000 1.501 0.892
## emp_trustshare 1.599 0.038 41.630 0.000 1.599 0.929
## emp_trustprmss 1.561 0.038 41.448 0.000 1.561 0.927
## emp_coworkrscr 1.557 0.039 39.505 0.000 1.557 0.892
## PersonalConsequence =~
## emp_workimpact 1.268 0.036 34.997 0.000 1.268 0.777
## emp_controlunt 1.333 0.037 35.917 0.000 1.333 0.818
## emp_infuencent 1.477 0.039 38.014 0.000 1.477 0.867
## emp_opinincnts 1.581 0.041 38.800 0.000 1.581 0.918
## SelfDetermination =~
## emp_workautnmy 0.761 0.031 24.210 0.000 0.761 0.774
## emp_decidmywrk 0.663 0.028 23.651 0.000 0.663 0.757
## emp_independnc 0.931 0.037 25.142 0.000 0.931 0.858
## emp_persnlnttv 0.646 0.025 26.266 0.000 0.646 0.763
## Meaning =~
## emp_workimp 0.579 0.026 22.536 0.000 0.579 0.751
## emp_workmeanng 0.849 0.035 24.180 0.000 0.849 0.889
## emp_carework 0.567 0.027 20.732 0.000 0.567 0.770
## emp_workspecil 0.677 0.031 21.934 0.000 0.677 0.750
## Satisfaction =~
## satis_mywork 0.247 0.036 6.927 0.000 0.472 0.522
## sats_cwrkrswrk 0.483 0.069 6.991 0.000 0.922 0.815
## satis_inst 0.397 0.057 7.014 0.000 0.758 0.611
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy -0.261 0.145 -1.809 0.070 -0.137 -0.137
## Trust 1.114 0.268 4.160 0.000 0.583 0.583
## PersonalCnsqnc 0.157 0.223 0.707 0.480 0.082 0.082
## SelfDetermintn 0.495 0.167 2.962 0.003 0.259 0.259
## Meaning 0.440 0.135 3.248 0.001 0.230 0.230
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.169 0.017 10.129 0.000 0.169 0.169
## PersonalCnsqnc 0.203 0.019 10.863 0.000 0.203 0.203
## SelfDetermintn 0.492 0.028 17.314 0.000 0.492 0.492
## Meaning 0.595 0.031 19.241 0.000 0.595 0.595
## Trust ~~
## PersonalCnsqnc 0.785 0.022 35.668 0.000 0.785 0.785
## SelfDetermintn 0.374 0.019 19.219 0.000 0.374 0.374
## Meaning 0.272 0.018 15.303 0.000 0.272 0.272
## PersonalConsequence ~~
## SelfDetermintn 0.551 0.025 21.639 0.000 0.551 0.551
## Meaning 0.309 0.021 14.483 0.000 0.309 0.309
## SelfDetermination ~~
## Meaning 0.393 0.026 15.244 0.000 0.393 0.393
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 6.446 0.032 203.156 0.000 6.446 8.264
## .emp_workcpblty 6.506 0.029 222.798 0.000 6.506 9.063
## .emp_mastrsklls 6.260 0.035 177.827 0.000 6.260 7.234
## .emp_cpbltysccs 6.443 0.032 199.874 0.000 6.443 8.131
## .emp_trstcwrkrs 4.590 0.068 67.055 0.000 4.590 2.728
## .emp_trustshare 4.783 0.070 68.334 0.000 4.783 2.780
## .emp_trustprmss 4.739 0.069 69.180 0.000 4.739 2.814
## .emp_coworkrscr 4.982 0.071 70.189 0.000 4.982 2.855
## .emp_workimpact 5.192 0.066 78.178 0.000 5.192 3.180
## .emp_controlunt 5.131 0.066 77.331 0.000 5.131 3.146
## .emp_infuencent 4.927 0.069 71.063 0.000 4.927 2.891
## .emp_opinincnts 5.169 0.070 73.832 0.000 5.169 3.003
## .emp_workautnmy 6.241 0.040 155.932 0.000 6.241 6.343
## .emp_decidmywrk 6.336 0.036 177.909 0.000 6.336 7.237
## .emp_independnc 6.175 0.044 139.874 0.000 6.175 5.690
## .emp_persnlnttv 6.359 0.034 184.582 0.000 6.359 7.509
## .emp_workimp 6.476 0.031 206.525 0.000 6.476 8.401
## .emp_workmeanng 6.225 0.039 160.152 0.000 6.225 6.515
## .emp_carework 6.559 0.030 219.070 0.000 6.559 8.911
## .emp_workspecil 6.337 0.037 172.748 0.000 6.337 7.027
## .satis_mywork 4.258 0.037 115.765 0.000 4.258 4.709
## .sats_cwrkrswrk 3.797 0.046 82.450 0.000 3.797 3.354
## .satis_inst 3.304 0.050 65.528 0.000 3.304 2.666
## Efficacy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PersonalCnsqnc 0.000 0.000 0.000
## SelfDetermintn 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Satisfaction 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 0.181 0.080 2.273 0.023 0.181 0.297
## .emp_workcpblty 0.219 0.076 2.866 0.004 0.219 0.425
## .emp_mastrsklls 0.501 0.074 6.769 0.000 0.501 0.669
## .emp_cpbltysccs 0.176 0.083 2.127 0.033 0.176 0.280
## .emp_trstcwrkrs 0.578 0.173 3.334 0.001 0.578 0.204
## .emp_trustshare 0.405 0.193 2.097 0.036 0.405 0.137
## .emp_trustprmss 0.399 0.185 2.150 0.032 0.399 0.141
## .emp_coworkrscr 0.620 0.208 2.980 0.003 0.620 0.204
## .emp_workimpact 1.057 0.176 6.011 0.000 1.057 0.397
## .emp_controlunt 0.882 0.178 4.962 0.000 0.882 0.332
## .emp_infuencent 0.724 0.188 3.858 0.000 0.724 0.249
## .emp_opinincnts 0.463 0.214 2.166 0.030 0.463 0.156
## .emp_workautnmy 0.389 0.115 3.384 0.001 0.389 0.401
## .emp_decidmywrk 0.327 0.091 3.601 0.000 0.327 0.427
## .emp_independnc 0.311 0.139 2.241 0.025 0.311 0.264
## .emp_persnlnttv 0.299 0.069 4.326 0.000 0.299 0.417
## .emp_workimp 0.259 0.080 3.237 0.001 0.259 0.436
## .emp_workmeanng 0.192 0.112 1.714 0.086 0.192 0.210
## .emp_carework 0.221 0.082 2.684 0.007 0.221 0.408
## .emp_workspecil 0.355 0.096 3.703 0.000 0.355 0.437
## .satis_mywork 0.595 0.075 7.887 0.000 0.595 0.727
## .sats_cwrkrswrk 0.431 0.106 4.081 0.000 0.431 0.336
## .satis_inst 0.962 0.082 11.758 0.000 0.962 0.626
## Efficacy 1.000 1.000 1.000
## Trust 1.000 1.000 1.000
## PersonalCnsqnc 1.000 1.000 1.000
## SelfDetermintn 1.000 1.000 1.000
## Meaning 1.000 1.000 1.000
## .Satisfaction 1.000 0.274 0.274
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_workcnfdnt 0.512 0.068 7.536 0.000 0.512 0.551
## emp_workcpblty 1.203 0.141 8.514 0.000 1.203 1.141
## emp_mastrsklls 0.328 0.050 6.600 0.000 0.328 0.381
## emp_cpbltysccs 0.665 0.084 7.873 0.000 0.665 0.801
## Trust =~
## emp_trstcwrkrs 1.533 0.080 19.145 0.000 1.533 0.893
## emp_trustshare 1.523 0.082 18.577 0.000 1.523 0.914
## emp_trustprmss 1.450 0.080 18.225 0.000 1.450 0.914
## emp_coworkrscr 1.416 0.081 17.546 0.000 1.416 0.865
## PersonalConsequence =~
## emp_workimpact 1.289 0.090 14.368 0.000 1.289 0.807
## emp_controlunt 1.141 0.083 13.769 0.000 1.141 0.736
## emp_infuencent 1.332 0.092 14.554 0.000 1.332 0.798
## emp_opinincnts 1.534 0.102 15.019 0.000 1.534 0.864
## SelfDetermination =~
## emp_workautnmy 0.751 0.074 10.111 0.000 0.751 0.614
## emp_decidmywrk 1.063 0.097 10.955 0.000 1.063 0.849
## emp_independnc 1.185 0.098 12.069 0.000 1.185 0.937
## emp_persnlnttv 1.033 0.093 11.155 0.000 1.033 0.853
## Meaning =~
## emp_workimp 0.467 0.060 7.770 0.000 0.467 0.453
## emp_workmeanng 1.111 0.111 10.042 0.000 1.111 1.021
## emp_carework 0.751 0.088 8.575 0.000 0.751 0.824
## emp_workspecil 1.117 0.116 9.603 0.000 1.117 1.010
## Satisfaction =~
## satis_mywork 0.454 0.064 7.122 0.000 0.646 0.694
## sats_cwrkrswrk 0.693 0.097 7.144 0.000 0.987 0.934
## satis_inst 0.522 0.075 6.953 0.000 0.742 0.589
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy 0.070 0.201 0.348 0.728 0.049 0.049
## Trust 0.645 0.333 1.934 0.053 0.453 0.453
## PersonalCnsqnc 0.003 0.438 0.006 0.995 0.002 0.002
## SelfDetermintn 0.275 0.328 0.838 0.402 0.193 0.193
## Meaning 0.247 0.269 0.915 0.360 0.173 0.173
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.260 0.051 5.122 0.000 0.260 0.260
## PersonalCnsqnc 0.222 0.056 3.969 0.000 0.222 0.222
## SelfDetermintn 0.408 0.076 5.335 0.000 0.408 0.408
## Meaning 0.670 0.102 6.543 0.000 0.670 0.670
## Trust ~~
## PersonalCnsqnc 0.800 0.055 14.470 0.000 0.800 0.800
## SelfDetermintn 0.580 0.057 10.218 0.000 0.580 0.580
## Meaning 0.375 0.051 7.288 0.000 0.375 0.375
## PersonalConsequence ~~
## SelfDetermintn 0.716 0.076 9.383 0.000 0.716 0.716
## Meaning 0.296 0.056 5.316 0.000 0.296 0.296
## SelfDetermination ~~
## Meaning 0.563 0.082 6.833 0.000 0.563 0.563
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 6.461 0.086 74.732 0.000 6.461 6.948
## .emp_workcpblty 6.365 0.098 64.951 0.000 6.365 6.039
## .emp_mastrsklls 6.270 0.080 78.259 0.000 6.270 7.276
## .emp_cpbltysccs 6.548 0.077 84.877 0.000 6.548 7.891
## .emp_trstcwrkrs 4.583 0.160 28.712 0.000 4.583 2.669
## .emp_trustshare 4.826 0.155 31.152 0.000 4.826 2.896
## .emp_trustprmss 4.765 0.147 32.322 0.000 4.765 3.005
## .emp_coworkrscr 5.017 0.152 32.941 0.000 5.017 3.063
## .emp_workimpact 4.991 0.149 33.602 0.000 4.991 3.124
## .emp_controlunt 5.122 0.144 35.514 0.000 5.122 3.302
## .emp_infuencent 4.965 0.155 31.983 0.000 4.965 2.974
## .emp_opinincnts 5.183 0.165 31.405 0.000 5.183 2.920
## .emp_workautnmy 6.043 0.114 53.108 0.000 6.043 4.938
## .emp_decidmywrk 6.104 0.116 52.434 0.000 6.104 4.875
## .emp_independnc 5.922 0.118 50.368 0.000 5.922 4.683
## .emp_persnlnttv 6.009 0.113 53.398 0.000 6.009 4.965
## .emp_workimp 6.383 0.096 66.589 0.000 6.383 6.191
## .emp_workmeanng 6.130 0.101 60.583 0.000 6.130 5.633
## .emp_carework 6.487 0.085 76.540 0.000 6.487 7.116
## .emp_workspecil 6.330 0.103 61.564 0.000 6.330 5.724
## .satis_mywork 4.174 0.086 48.292 0.000 4.174 4.490
## .sats_cwrkrswrk 3.757 0.098 38.253 0.000 3.757 3.557
## .satis_inst 3.243 0.117 27.672 0.000 3.243 2.573
## Efficacy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PersonalCnsqnc 0.000 0.000 0.000
## SelfDetermintn 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Satisfaction 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 0.602 0.293 2.059 0.040 0.602 0.697
## .emp_workcpblty -0.336 0.500 -0.673 0.501 -0.336 -0.303
## .emp_mastrsklls 0.635 0.176 3.600 0.000 0.635 0.855
## .emp_cpbltysccs 0.247 0.298 0.827 0.408 0.247 0.358
## .emp_trstcwrkrs 0.597 0.373 1.601 0.109 0.597 0.202
## .emp_trustshare 0.456 0.402 1.135 0.256 0.456 0.164
## .emp_trustprmss 0.413 0.382 1.082 0.279 0.413 0.164
## .emp_coworkrscr 0.678 0.425 1.595 0.111 0.678 0.253
## .emp_workimpact 0.891 0.416 2.139 0.032 0.891 0.349
## .emp_controlunt 1.104 0.393 2.811 0.005 1.104 0.459
## .emp_infuencent 1.013 0.416 2.434 0.015 1.013 0.363
## .emp_opinincnts 0.796 0.528 1.507 0.132 0.796 0.253
## .emp_workautnmy 0.934 0.385 2.426 0.015 0.934 0.623
## .emp_decidmywrk 0.438 0.441 0.995 0.320 0.438 0.280
## .emp_independnc 0.195 0.409 0.478 0.633 0.195 0.122
## .emp_persnlnttv 0.398 0.415 0.959 0.337 0.398 0.272
## .emp_workimp 0.845 0.308 2.743 0.006 0.845 0.795
## .emp_workmeanng -0.050 0.383 -0.130 0.897 -0.050 -0.042
## .emp_carework 0.267 0.319 0.839 0.402 0.267 0.322
## .emp_workspecil -0.025 0.444 -0.057 0.955 -0.025 -0.021
## .satis_mywork 0.447 0.159 2.818 0.005 0.447 0.518
## .sats_cwrkrswrk 0.142 0.211 0.676 0.499 0.142 0.128
## .satis_inst 1.039 0.172 6.053 0.000 1.039 0.653
## Efficacy 1.000 1.000 1.000
## Trust 1.000 1.000 1.000
## PersonalCnsqnc 1.000 1.000 1.000
## SelfDetermintn 1.000 1.000 1.000
## Meaning 1.000 1.000 1.000
## .Satisfaction 1.000 0.494 0.494summary(MG2, stand = T, fit = T)## lavaan 0.6-9 ended normally after 115 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 168
## Number of equality constraints 17
##
## Number of observations per group: Used Total
## 0 605 635
## 1 115 121
##
## Model Test User Model:
##
## Test statistic 610.595
## Degrees of freedom 447
## P-value (Chi-square) 0.000
## Test statistic for each group:
## 0 430.749
## 1 179.846
##
## Model Test Baseline Model:
##
## Test statistic 15860.597
## Degrees of freedom 506
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.989
## Tucker-Lewis Index (TLI) 0.988
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.032
## 90 Percent confidence interval - lower 0.025
## 90 Percent confidence interval - upper 0.038
## P-value RMSEA <= 0.05 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.074
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Unstructured
##
##
## Group 1 [0]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.642 0.823
## emp_wrk (.p2.) 0.880 0.053 16.722 0.000 0.565 0.787
## emp_mst (.p3.) 0.752 0.047 16.014 0.000 0.483 0.558
## emp_cpb (.p4.) 1.028 0.059 17.422 0.000 0.660 0.833
## Trust =~
## emp_trs 1.000 1.518 0.902
## emp_trs (.p6.) 1.053 0.033 32.063 0.000 1.598 0.929
## emp_trs (.p7.) 1.024 0.032 31.878 0.000 1.555 0.923
## emp_cwr (.p8.) 1.019 0.033 31.232 0.000 1.547 0.887
## PersonalConsequence =~
## emp_wrk 1.000 1.284 0.786
## emp_cnt (.10.) 1.025 0.037 27.939 0.000 1.316 0.807
## emp_nfn (.11.) 1.146 0.040 28.764 0.000 1.471 0.863
## emp_pnn (.12.) 1.238 0.042 29.148 0.000 1.589 0.923
## SelfDetermination =~
## emp_wrk 1.000 0.723 0.735
## emp_dcd (.14.) 0.938 0.046 20.564 0.000 0.678 0.775
## emp_ndp (.15.) 1.271 0.059 21.620 0.000 0.920 0.847
## emp_prs (.16.) 0.918 0.045 20.542 0.000 0.664 0.784
## Meaning =~
## emp_wrk 1.000 0.551 0.715
## emp_wrk (.18.) 1.558 0.084 18.611 0.000 0.859 0.899
## emp_crw (.19.) 1.032 0.060 17.241 0.000 0.569 0.773
## emp_wrk (.20.) 1.274 0.071 17.903 0.000 0.702 0.779
## Satisfaction =~
## sts_myw 1.000 0.493 0.545
## sts_cwr (.22.) 1.855 0.081 22.801 0.000 0.914 0.808
## sts_nst (.23.) 1.511 0.069 21.925 0.000 0.745 0.601
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy -0.103 0.054 -1.911 0.056 -0.134 -0.134
## Trust 0.187 0.032 5.835 0.000 0.575 0.575
## PersonalCnsqnc 0.034 0.046 0.737 0.461 0.087 0.087
## SelfDetermintn 0.177 0.052 3.442 0.001 0.260 0.260
## Meaning 0.209 0.054 3.869 0.000 0.234 0.234
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.167 0.017 9.720 0.000 0.171 0.171
## PersonalCnsqnc 0.170 0.016 10.334 0.000 0.206 0.206
## SelfDetermintn 0.233 0.016 14.921 0.000 0.502 0.502
## Meaning 0.210 0.014 15.061 0.000 0.594 0.594
## Trust ~~
## PersonalCnsqnc 1.529 0.055 27.995 0.000 0.785 0.785
## SelfDetermintn 0.410 0.024 17.379 0.000 0.373 0.373
## Meaning 0.226 0.016 13.873 0.000 0.270 0.270
## PersonalConsequence ~~
## SelfDetermintn 0.511 0.027 18.747 0.000 0.550 0.550
## Meaning 0.217 0.016 13.148 0.000 0.306 0.306
## SelfDetermination ~~
## Meaning 0.159 0.011 14.190 0.000 0.399 0.399
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 6.446 0.032 203.156 0.000 6.446 8.264
## .emp_workcpblty 6.506 0.029 222.798 0.000 6.506 9.063
## .emp_mastrsklls 6.260 0.035 177.827 0.000 6.260 7.234
## .emp_cpbltysccs 6.443 0.032 199.874 0.000 6.443 8.131
## .emp_trstcwrkrs 4.590 0.068 67.055 0.000 4.590 2.728
## .emp_trustshare 4.783 0.070 68.334 0.000 4.783 2.780
## .emp_trustprmss 4.739 0.069 69.180 0.000 4.739 2.814
## .emp_coworkrscr 4.982 0.071 70.189 0.000 4.982 2.855
## .emp_workimpact 5.192 0.066 78.178 0.000 5.192 3.180
## .emp_controlunt 5.131 0.066 77.331 0.000 5.131 3.146
## .emp_infuencent 4.927 0.069 71.063 0.000 4.927 2.891
## .emp_opinincnts 5.169 0.070 73.832 0.000 5.169 3.003
## .emp_workautnmy 6.241 0.040 155.932 0.000 6.241 6.343
## .emp_decidmywrk 6.336 0.036 177.909 0.000 6.336 7.237
## .emp_independnc 6.175 0.044 139.874 0.000 6.175 5.690
## .emp_persnlnttv 6.359 0.034 184.582 0.000 6.359 7.509
## .emp_workimp 6.476 0.031 206.525 0.000 6.476 8.401
## .emp_workmeanng 6.225 0.039 160.152 0.000 6.225 6.515
## .emp_carework 6.559 0.030 219.070 0.000 6.559 8.911
## .emp_workspecil 6.337 0.037 172.748 0.000 6.337 7.027
## .satis_mywork 4.258 0.037 115.765 0.000 4.258 4.709
## .sats_cwrkrswrk 3.797 0.046 82.450 0.000 3.797 3.354
## .satis_inst 3.304 0.050 65.528 0.000 3.304 2.666
## Efficacy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PersonalCnsqnc 0.000 0.000 0.000
## SelfDetermintn 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Satisfaction 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 0.197 0.078 2.507 0.012 0.197 0.323
## .emp_workcpblty 0.196 0.077 2.559 0.011 0.196 0.381
## .emp_mastrsklls 0.516 0.073 7.036 0.000 0.516 0.689
## .emp_cpbltysccs 0.192 0.081 2.364 0.018 0.192 0.307
## .emp_trstcwrkrs 0.528 0.170 3.106 0.002 0.528 0.186
## .emp_trustshare 0.408 0.188 2.168 0.030 0.408 0.138
## .emp_trustprmss 0.419 0.180 2.324 0.020 0.419 0.148
## .emp_coworkrscr 0.651 0.203 3.211 0.001 0.651 0.214
## .emp_workimpact 1.017 0.174 5.839 0.000 1.017 0.382
## .emp_controlunt 0.929 0.174 5.339 0.000 0.929 0.349
## .emp_infuencent 0.742 0.184 4.036 0.000 0.742 0.255
## .emp_opinincnts 0.436 0.211 2.068 0.039 0.436 0.147
## .emp_workautnmy 0.445 0.112 3.960 0.000 0.445 0.460
## .emp_decidmywrk 0.307 0.090 3.388 0.001 0.307 0.400
## .emp_independnc 0.332 0.136 2.439 0.015 0.332 0.282
## .emp_persnlnttv 0.277 0.069 4.005 0.000 0.277 0.386
## .emp_workimp 0.290 0.079 3.680 0.000 0.290 0.489
## .emp_workmeanng 0.176 0.111 1.583 0.113 0.176 0.192
## .emp_carework 0.218 0.082 2.663 0.008 0.218 0.402
## .emp_workspecil 0.320 0.096 3.328 0.001 0.320 0.393
## .satis_mywork 0.575 0.075 7.614 0.000 0.575 0.703
## .sats_cwrkrswrk 0.446 0.104 4.301 0.000 0.446 0.348
## .satis_inst 0.982 0.080 12.234 0.000 0.982 0.639
## Efficacy 0.412 0.035 11.672 0.000 1.000 1.000
## Trust 2.304 0.104 22.071 0.000 1.000 1.000
## PersonalCnsqnc 1.648 0.089 18.590 0.000 1.000 1.000
## SelfDetermintn 0.523 0.042 12.580 0.000 1.000 1.000
## Meaning 0.304 0.026 11.500 0.000 1.000 1.000
## .Satisfaction 0.067 0.019 3.510 0.000 0.276 0.276
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.648 0.697
## emp_wrk (.p2.) 0.880 0.053 16.722 0.000 0.571 0.541
## emp_mst (.p3.) 0.752 0.047 16.014 0.000 0.488 0.566
## emp_cpb (.p4.) 1.028 0.059 17.422 0.000 0.667 0.803
## Trust =~
## emp_trs 1.000 1.448 0.843
## emp_trs (.p6.) 1.053 0.033 32.063 0.000 1.524 0.915
## emp_trs (.p7.) 1.024 0.032 31.878 0.000 1.483 0.935
## emp_cwr (.p8.) 1.019 0.033 31.232 0.000 1.476 0.901
## PersonalConsequence =~
## emp_wrk 1.000 1.199 0.750
## emp_cnt (.10.) 1.025 0.037 27.939 0.000 1.229 0.792
## emp_nfn (.11.) 1.146 0.040 28.764 0.000 1.373 0.822
## emp_pnn (.12.) 1.238 0.042 29.148 0.000 1.484 0.836
## SelfDetermination =~
## emp_wrk 1.000 0.958 0.783
## emp_dcd (.14.) 0.938 0.046 20.564 0.000 0.898 0.717
## emp_ndp (.15.) 1.271 0.059 21.620 0.000 1.218 0.964
## emp_prs (.16.) 0.918 0.045 20.542 0.000 0.880 0.727
## Meaning =~
## emp_wrk 1.000 0.665 0.645
## emp_wrk (.18.) 1.558 0.084 18.611 0.000 1.035 0.951
## emp_crw (.19.) 1.032 0.060 17.241 0.000 0.686 0.753
## emp_wrk (.20.) 1.274 0.071 17.903 0.000 0.847 0.766
## Satisfaction =~
## sts_myw 1.000 0.551 0.593
## sts_cwr (.22.) 1.855 0.081 22.801 0.000 1.022 0.967
## sts_nst (.23.) 1.511 0.069 21.925 0.000 0.832 0.660
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy 0.119 0.109 1.086 0.277 0.140 0.140
## Trust 0.171 0.083 2.066 0.039 0.450 0.450
## PersonalCnsqnc 0.030 0.143 0.212 0.832 0.066 0.066
## SelfDetermintn 0.063 0.130 0.484 0.628 0.109 0.109
## Meaning 0.132 0.140 0.945 0.344 0.160 0.160
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.200 0.045 4.408 0.000 0.213 0.213
## PersonalCnsqnc 0.114 0.042 2.753 0.006 0.147 0.147
## SelfDetermintn 0.218 0.041 5.314 0.000 0.352 0.352
## Meaning 0.259 0.034 7.559 0.000 0.600 0.600
## Trust ~~
## PersonalCnsqnc 1.383 0.079 17.438 0.000 0.797 0.797
## SelfDetermintn 0.805 0.065 12.360 0.000 0.580 0.580
## Meaning 0.362 0.046 7.908 0.000 0.376 0.376
## PersonalConsequence ~~
## SelfDetermintn 0.832 0.072 11.479 0.000 0.724 0.724
## Meaning 0.225 0.043 5.239 0.000 0.282 0.282
## SelfDetermination ~~
## Meaning 0.342 0.044 7.849 0.000 0.536 0.536
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 6.461 0.086 74.732 0.000 6.461 6.948
## .emp_workcpblty 6.365 0.098 64.951 0.000 6.365 6.039
## .emp_mastrsklls 6.270 0.080 78.259 0.000 6.270 7.276
## .emp_cpbltysccs 6.548 0.077 84.877 0.000 6.548 7.891
## .emp_trstcwrkrs 4.583 0.160 28.712 0.000 4.583 2.669
## .emp_trustshare 4.826 0.155 31.152 0.000 4.826 2.896
## .emp_trustprmss 4.765 0.147 32.322 0.000 4.765 3.005
## .emp_coworkrscr 5.017 0.152 32.941 0.000 5.017 3.063
## .emp_workimpact 4.991 0.149 33.602 0.000 4.991 3.124
## .emp_controlunt 5.122 0.144 35.514 0.000 5.122 3.302
## .emp_infuencent 4.965 0.155 31.983 0.000 4.965 2.974
## .emp_opinincnts 5.183 0.165 31.405 0.000 5.183 2.920
## .emp_workautnmy 6.043 0.114 53.108 0.000 6.043 4.938
## .emp_decidmywrk 6.104 0.116 52.434 0.000 6.104 4.875
## .emp_independnc 5.922 0.118 50.368 0.000 5.922 4.683
## .emp_persnlnttv 6.009 0.113 53.398 0.000 6.009 4.965
## .emp_workimp 6.383 0.096 66.589 0.000 6.383 6.191
## .emp_workmeanng 6.130 0.101 60.583 0.000 6.130 5.633
## .emp_carework 6.487 0.085 76.540 0.000 6.487 7.116
## .emp_workspecil 6.330 0.103 61.564 0.000 6.330 5.724
## .satis_mywork 4.174 0.086 48.292 0.000 4.174 4.490
## .sats_cwrkrswrk 3.757 0.098 38.253 0.000 3.757 3.557
## .satis_inst 3.243 0.117 27.672 0.000 3.243 2.573
## Efficacy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PersonalCnsqnc 0.000 0.000 0.000
## SelfDetermintn 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Satisfaction 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 0.444 0.291 1.525 0.127 0.444 0.514
## .emp_workcpblty 0.786 0.370 2.123 0.034 0.786 0.707
## .emp_mastrsklls 0.505 0.177 2.845 0.004 0.505 0.680
## .emp_cpbltysccs 0.244 0.284 0.858 0.391 0.244 0.354
## .emp_trstcwrkrs 0.851 0.313 2.718 0.007 0.851 0.289
## .emp_trustshare 0.454 0.350 1.295 0.195 0.454 0.163
## .emp_trustprmss 0.316 0.338 0.936 0.349 0.316 0.126
## .emp_coworkrscr 0.507 0.388 1.306 0.191 0.507 0.189
## .emp_workimpact 1.115 0.371 3.006 0.003 1.115 0.437
## .emp_controlunt 0.897 0.371 2.416 0.016 0.897 0.373
## .emp_infuencent 0.902 0.378 2.385 0.017 0.902 0.324
## .emp_opinincnts 0.949 0.470 2.020 0.043 0.949 0.301
## .emp_workautnmy 0.580 0.388 1.495 0.135 0.580 0.387
## .emp_decidmywrk 0.761 0.404 1.881 0.060 0.761 0.485
## .emp_independnc 0.115 0.387 0.296 0.767 0.115 0.072
## .emp_persnlnttv 0.691 0.383 1.807 0.071 0.691 0.472
## .emp_workimp 0.621 0.310 2.005 0.045 0.621 0.584
## .emp_workmeanng 0.113 0.334 0.338 0.735 0.113 0.095
## .emp_carework 0.360 0.299 1.202 0.229 0.360 0.433
## .emp_workspecil 0.506 0.377 1.343 0.179 0.506 0.413
## .satis_mywork 0.561 0.149 3.764 0.000 0.561 0.649
## .sats_cwrkrswrk 0.072 0.196 0.365 0.715 0.072 0.064
## .satis_inst 0.896 0.167 5.374 0.000 0.896 0.564
## Efficacy 0.420 0.064 6.583 0.000 1.000 1.000
## Trust 2.096 0.140 14.995 0.000 1.000 1.000
## PersonalCnsqnc 1.437 0.134 10.737 0.000 1.000 1.000
## SelfDetermintn 0.918 0.121 7.586 0.000 1.000 1.000
## Meaning 0.442 0.066 6.741 0.000 1.000 1.000
## .Satisfaction 0.144 0.040 3.646 0.000 0.476 0.476summary(PMG2, stand = T, fit = T)## lavaan 0.6-9 ended normally after 129 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 168
## Number of equality constraints 14
##
## Number of observations per group: Used Total
## 0 605 635
## 1 115 121
##
## Model Test User Model:
##
## Test statistic 568.912
## Degrees of freedom 444
## P-value (Chi-square) 0.000
## Test statistic for each group:
## 0 427.933
## 1 140.979
##
## Model Test Baseline Model:
##
## Test statistic 15860.597
## Degrees of freedom 506
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.992
## Tucker-Lewis Index (TLI) 0.991
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.028
## 90 Percent confidence interval - lower 0.021
## 90 Percent confidence interval - upper 0.035
## P-value RMSEA <= 0.05 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.070
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Unstructured
##
##
## Group 1 [0]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.656 0.841
## emp_wrk 0.828 0.051 16.326 0.000 0.544 0.757
## emp_mst (.p3.) 0.743 0.046 16.019 0.000 0.488 0.564
## emp_cpb (.p4.) 1.037 0.059 17.538 0.000 0.680 0.859
## Trust =~
## emp_trs 1.000 1.518 0.902
## emp_trs (.p6.) 1.053 0.033 32.084 0.000 1.598 0.929
## emp_trs (.p7.) 1.024 0.032 31.900 0.000 1.554 0.923
## emp_cwr (.p8.) 1.019 0.033 31.255 0.000 1.547 0.887
## PersonalConsequence =~
## emp_wrk 1.000 1.284 0.786
## emp_cnt (.10.) 1.025 0.037 27.960 0.000 1.316 0.807
## emp_nfn (.11.) 1.145 0.040 28.785 0.000 1.471 0.863
## emp_pnn (.12.) 1.238 0.042 29.170 0.000 1.589 0.923
## SelfDetermination =~
## emp_wrk 1.000 0.729 0.741
## emp_dcd 0.905 0.047 19.260 0.000 0.659 0.753
## emp_ndp (.15.) 1.274 0.059 21.667 0.000 0.928 0.855
## emp_prs (.16.) 0.916 0.045 20.529 0.000 0.667 0.788
## Meaning =~
## emp_wrk 1.000 0.557 0.722
## emp_wrk (.18.) 1.558 0.084 18.659 0.000 0.868 0.908
## emp_crw (.19.) 1.034 0.060 17.288 0.000 0.576 0.782
## emp_wrk 1.216 0.072 16.923 0.000 0.677 0.751
## Satisfaction =~
## sts_myw 1.000 0.493 0.545
## sts_cwr (.22.) 1.855 0.081 22.813 0.000 0.915 0.808
## sts_nst (.23.) 1.508 0.069 21.930 0.000 0.744 0.600
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy -0.102 0.052 -1.940 0.052 -0.135 -0.135
## Trust 0.187 0.032 5.837 0.000 0.576 0.576
## PersonalCnsqnc 0.033 0.046 0.715 0.475 0.085 0.085
## SelfDetermintn 0.178 0.051 3.470 0.001 0.263 0.263
## Meaning 0.206 0.053 3.862 0.000 0.233 0.233
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.169 0.017 9.706 0.000 0.169 0.169
## PersonalCnsqnc 0.171 0.017 10.302 0.000 0.203 0.203
## SelfDetermintn 0.238 0.016 14.939 0.000 0.498 0.498
## Meaning 0.217 0.014 15.133 0.000 0.593 0.593
## Trust ~~
## PersonalCnsqnc 1.529 0.055 28.009 0.000 0.785 0.785
## SelfDetermintn 0.413 0.024 17.356 0.000 0.374 0.374
## Meaning 0.229 0.016 13.897 0.000 0.271 0.271
## PersonalConsequence ~~
## SelfDetermintn 0.516 0.028 18.717 0.000 0.551 0.551
## Meaning 0.220 0.017 13.169 0.000 0.307 0.307
## SelfDetermination ~~
## Meaning 0.162 0.011 14.208 0.000 0.400 0.400
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 6.446 0.032 203.156 0.000 6.446 8.264
## .emp_workcpblty 6.506 0.029 222.798 0.000 6.506 9.063
## .emp_mastrsklls 6.260 0.035 177.827 0.000 6.260 7.234
## .emp_cpbltysccs 6.443 0.032 199.874 0.000 6.443 8.131
## .emp_trstcwrkrs 4.590 0.068 67.055 0.000 4.590 2.728
## .emp_trustshare 4.783 0.070 68.334 0.000 4.783 2.780
## .emp_trustprmss 4.739 0.069 69.180 0.000 4.739 2.814
## .emp_coworkrscr 4.982 0.071 70.189 0.000 4.982 2.855
## .emp_workimpact 5.192 0.066 78.178 0.000 5.192 3.180
## .emp_controlunt 5.131 0.066 77.331 0.000 5.131 3.146
## .emp_infuencent 4.927 0.069 71.063 0.000 4.927 2.891
## .emp_opinincnts 5.169 0.070 73.832 0.000 5.169 3.003
## .emp_workautnmy 6.241 0.040 155.932 0.000 6.241 6.343
## .emp_decidmywrk 6.336 0.036 177.909 0.000 6.336 7.237
## .emp_independnc 6.175 0.044 139.874 0.000 6.175 5.690
## .emp_persnlnttv 6.359 0.034 184.582 0.000 6.359 7.509
## .emp_workimp 6.476 0.031 206.525 0.000 6.476 8.401
## .emp_workmeanng 6.225 0.039 160.152 0.000 6.225 6.515
## .emp_carework 6.559 0.030 219.070 0.000 6.559 8.911
## .emp_workspecil 6.337 0.037 172.748 0.000 6.337 7.027
## .satis_mywork 4.258 0.037 115.765 0.000 4.258 4.709
## .sats_cwrkrswrk 3.797 0.046 82.450 0.000 3.797 3.354
## .satis_inst 3.304 0.050 65.528 0.000 3.304 2.666
## Efficacy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PersonalCnsqnc 0.000 0.000 0.000
## SelfDetermintn 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Satisfaction 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 0.178 0.079 2.245 0.025 0.178 0.292
## .emp_workcpblty 0.220 0.076 2.874 0.004 0.220 0.426
## .emp_mastrsklls 0.511 0.073 6.956 0.000 0.511 0.682
## .emp_cpbltysccs 0.165 0.082 2.003 0.045 0.165 0.263
## .emp_trstcwrkrs 0.527 0.170 3.103 0.002 0.527 0.186
## .emp_trustshare 0.408 0.188 2.169 0.030 0.408 0.138
## .emp_trustprmss 0.420 0.180 2.326 0.020 0.420 0.148
## .emp_coworkrscr 0.651 0.203 3.211 0.001 0.651 0.214
## .emp_workimpact 1.017 0.174 5.840 0.000 1.017 0.381
## .emp_controlunt 0.928 0.174 5.337 0.000 0.928 0.349
## .emp_infuencent 0.742 0.184 4.038 0.000 0.742 0.256
## .emp_opinincnts 0.437 0.211 2.069 0.039 0.437 0.147
## .emp_workautnmy 0.437 0.113 3.881 0.000 0.437 0.452
## .emp_decidmywrk 0.332 0.091 3.659 0.000 0.332 0.433
## .emp_independnc 0.316 0.137 2.312 0.021 0.316 0.269
## .emp_persnlnttv 0.272 0.069 3.929 0.000 0.272 0.379
## .emp_workimp 0.284 0.079 3.594 0.000 0.284 0.478
## .emp_workmeanng 0.160 0.112 1.433 0.152 0.160 0.175
## .emp_carework 0.210 0.082 2.562 0.010 0.210 0.388
## .emp_workspecil 0.355 0.096 3.702 0.000 0.355 0.437
## .satis_mywork 0.574 0.075 7.609 0.000 0.574 0.703
## .sats_cwrkrswrk 0.445 0.104 4.289 0.000 0.445 0.347
## .satis_inst 0.983 0.080 12.260 0.000 0.983 0.640
## Efficacy 0.431 0.037 11.711 0.000 1.000 1.000
## Trust 2.304 0.104 22.082 0.000 1.000 1.000
## PersonalCnsqnc 1.648 0.089 18.599 0.000 1.000 1.000
## SelfDetermintn 0.531 0.042 12.537 0.000 1.000 1.000
## Meaning 0.310 0.027 11.488 0.000 1.000 1.000
## .Satisfaction 0.067 0.019 3.502 0.000 0.275 0.275
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.544 0.585
## emp_wrk 2.150 0.301 7.145 0.000 1.169 1.109
## emp_mst (.p3.) 0.743 0.046 16.019 0.000 0.404 0.469
## emp_cpb (.p4.) 1.037 0.059 17.538 0.000 0.564 0.679
## Trust =~
## emp_trs 1.000 1.448 0.843
## emp_trs (.p6.) 1.053 0.033 32.084 0.000 1.524 0.915
## emp_trs (.p7.) 1.024 0.032 31.900 0.000 1.483 0.935
## emp_cwr (.p8.) 1.019 0.033 31.255 0.000 1.476 0.901
## PersonalConsequence =~
## emp_wrk 1.000 1.199 0.750
## emp_cnt (.10.) 1.025 0.037 27.960 0.000 1.229 0.792
## emp_nfn (.11.) 1.145 0.040 28.785 0.000 1.373 0.822
## emp_pnn (.12.) 1.238 0.042 29.170 0.000 1.484 0.836
## SelfDetermination =~
## emp_wrk 1.000 0.921 0.752
## emp_dcd 1.157 0.112 10.331 0.000 1.065 0.850
## emp_ndp (.15.) 1.274 0.059 21.667 0.000 1.173 0.927
## emp_prs (.16.) 0.916 0.045 20.529 0.000 0.843 0.696
## Meaning =~
## emp_wrk 1.000 0.624 0.605
## emp_wrk (.18.) 1.558 0.084 18.659 0.000 0.972 0.893
## emp_crw (.19.) 1.034 0.060 17.288 0.000 0.645 0.708
## emp_wrk 1.766 0.201 8.785 0.000 1.102 0.996
## Satisfaction =~
## sts_myw 1.000 0.551 0.593
## sts_cwr (.22.) 1.855 0.081 22.813 0.000 1.022 0.968
## sts_nst (.23.) 1.508 0.069 21.930 0.000 0.831 0.660
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy 0.077 0.138 0.556 0.578 0.075 0.075
## Trust 0.175 0.083 2.115 0.034 0.459 0.459
## PersonalCnsqnc 0.024 0.142 0.166 0.868 0.052 0.052
## SelfDetermintn 0.069 0.135 0.514 0.607 0.116 0.116
## Meaning 0.166 0.162 1.026 0.305 0.188 0.188
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.195 0.039 5.008 0.000 0.248 0.248
## PersonalCnsqnc 0.130 0.035 3.691 0.000 0.200 0.200
## SelfDetermintn 0.189 0.034 5.499 0.000 0.378 0.378
## Meaning 0.220 0.030 7.356 0.000 0.647 0.647
## Trust ~~
## PersonalCnsqnc 1.383 0.079 17.441 0.000 0.797 0.797
## SelfDetermintn 0.774 0.064 12.037 0.000 0.581 0.581
## Meaning 0.337 0.044 7.720 0.000 0.373 0.373
## PersonalConsequence ~~
## SelfDetermintn 0.801 0.071 11.217 0.000 0.726 0.726
## Meaning 0.212 0.040 5.278 0.000 0.283 0.283
## SelfDetermination ~~
## Meaning 0.309 0.040 7.641 0.000 0.538 0.538
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 6.461 0.086 74.732 0.000 6.461 6.948
## .emp_workcpblty 6.365 0.098 64.951 0.000 6.365 6.039
## .emp_mastrsklls 6.270 0.080 78.259 0.000 6.270 7.276
## .emp_cpbltysccs 6.548 0.077 84.877 0.000 6.548 7.891
## .emp_trstcwrkrs 4.583 0.160 28.712 0.000 4.583 2.669
## .emp_trustshare 4.826 0.155 31.152 0.000 4.826 2.896
## .emp_trustprmss 4.765 0.147 32.322 0.000 4.765 3.005
## .emp_coworkrscr 5.017 0.152 32.941 0.000 5.017 3.063
## .emp_workimpact 4.991 0.149 33.602 0.000 4.991 3.124
## .emp_controlunt 5.122 0.144 35.514 0.000 5.122 3.302
## .emp_infuencent 4.965 0.155 31.983 0.000 4.965 2.974
## .emp_opinincnts 5.183 0.165 31.405 0.000 5.183 2.920
## .emp_workautnmy 6.043 0.114 53.108 0.000 6.043 4.938
## .emp_decidmywrk 6.104 0.116 52.434 0.000 6.104 4.875
## .emp_independnc 5.922 0.118 50.368 0.000 5.922 4.683
## .emp_persnlnttv 6.009 0.113 53.398 0.000 6.009 4.965
## .emp_workimp 6.383 0.096 66.589 0.000 6.383 6.191
## .emp_workmeanng 6.130 0.101 60.583 0.000 6.130 5.633
## .emp_carework 6.487 0.085 76.540 0.000 6.487 7.116
## .emp_workspecil 6.330 0.103 61.564 0.000 6.330 5.724
## .satis_mywork 4.174 0.086 48.292 0.000 4.174 4.490
## .sats_cwrkrswrk 3.757 0.098 38.253 0.000 3.757 3.557
## .satis_inst 3.243 0.117 27.672 0.000 3.243 2.573
## Efficacy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PersonalCnsqnc 0.000 0.000 0.000
## SelfDetermintn 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Satisfaction 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 0.569 0.289 1.970 0.049 0.569 0.658
## .emp_workcpblty -0.256 0.487 -0.524 0.600 -0.256 -0.230
## .emp_mastrsklls 0.579 0.176 3.297 0.001 0.579 0.780
## .emp_cpbltysccs 0.371 0.282 1.316 0.188 0.371 0.539
## .emp_trstcwrkrs 0.851 0.313 2.716 0.007 0.851 0.289
## .emp_trustshare 0.454 0.350 1.295 0.195 0.454 0.163
## .emp_trustprmss 0.317 0.338 0.937 0.349 0.317 0.126
## .emp_coworkrscr 0.507 0.388 1.306 0.191 0.507 0.189
## .emp_workimpact 1.115 0.371 3.006 0.003 1.115 0.437
## .emp_controlunt 0.896 0.371 2.415 0.016 0.896 0.372
## .emp_infuencent 0.902 0.378 2.385 0.017 0.902 0.324
## .emp_opinincnts 0.949 0.470 2.021 0.043 0.949 0.301
## .emp_workautnmy 0.651 0.386 1.684 0.092 0.651 0.434
## .emp_decidmywrk 0.434 0.442 0.982 0.326 0.434 0.277
## .emp_independnc 0.224 0.384 0.584 0.559 0.224 0.140
## .emp_persnlnttv 0.754 0.382 1.977 0.048 0.754 0.515
## .emp_workimp 0.673 0.309 2.181 0.029 0.673 0.634
## .emp_workmeanng 0.239 0.328 0.729 0.466 0.239 0.202
## .emp_carework 0.415 0.298 1.390 0.165 0.415 0.499
## .emp_workspecil 0.009 0.442 0.020 0.984 0.009 0.007
## .satis_mywork 0.560 0.149 3.761 0.000 0.560 0.648
## .sats_cwrkrswrk 0.070 0.196 0.359 0.720 0.070 0.063
## .satis_inst 0.898 0.167 5.388 0.000 0.898 0.565
## Efficacy 0.296 0.051 5.771 0.000 1.000 1.000
## Trust 2.096 0.140 14.998 0.000 1.000 1.000
## PersonalCnsqnc 1.437 0.134 10.739 0.000 1.000 1.000
## SelfDetermintn 0.847 0.116 7.284 0.000 1.000 1.000
## Meaning 0.389 0.061 6.410 0.000 1.000 1.000
## .Satisfaction 0.148 0.040 3.742 0.000 0.487 0.487summary(MG3, stand = T, fit = T)## lavaan 0.6-9 ended normally after 174 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 174
## Number of equality constraints 37
##
## Number of observations per group: Used Total
## 0 605 635
## 1 115 121
##
## Model Test User Model:
##
## Test statistic 576.408
## Degrees of freedom 461
## P-value (Chi-square) 0.000
## Test statistic for each group:
## 0 429.056
## 1 147.352
##
## Model Test Baseline Model:
##
## Test statistic 15860.597
## Degrees of freedom 506
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.992
## Tucker-Lewis Index (TLI) 0.992
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.026
## 90 Percent confidence interval - lower 0.019
## 90 Percent confidence interval - upper 0.033
## P-value RMSEA <= 0.05 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.071
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Unstructured
##
##
## Group 1 [0]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.656 0.841
## emp_wrk 0.828 0.051 16.327 0.000 0.544 0.757
## emp_mst (.p3.) 0.743 0.046 16.019 0.000 0.488 0.564
## emp_cpb (.p4.) 1.036 0.059 17.537 0.000 0.680 0.858
## Trust =~
## emp_trs 1.000 1.518 0.902
## emp_trs (.p6.) 1.053 0.033 32.084 0.000 1.598 0.929
## emp_trs (.p7.) 1.024 0.032 31.900 0.000 1.554 0.923
## emp_cwr (.p8.) 1.019 0.033 31.255 0.000 1.547 0.887
## PersonalConsequence =~
## emp_wrk 1.000 1.284 0.787
## emp_cnt (.10.) 1.025 0.037 27.962 0.000 1.316 0.807
## emp_nfn (.11.) 1.145 0.040 28.786 0.000 1.471 0.863
## emp_pnn (.12.) 1.237 0.042 29.172 0.000 1.589 0.923
## SelfDetermination =~
## emp_wrk 1.000 0.727 0.739
## emp_dcd 0.906 0.047 19.266 0.000 0.659 0.753
## emp_ndp (.15.) 1.274 0.059 21.704 0.000 0.927 0.854
## emp_prs (.16.) 0.919 0.045 20.585 0.000 0.669 0.789
## Meaning =~
## emp_wrk 1.000 0.557 0.722
## emp_wrk (.18.) 1.558 0.083 18.667 0.000 0.868 0.908
## emp_crw (.19.) 1.034 0.060 17.295 0.000 0.576 0.782
## emp_wrk 1.215 0.072 16.926 0.000 0.677 0.751
## Satisfaction =~
## sts_myw 1.000 0.493 0.546
## sts_cwr (.22.) 1.854 0.081 22.818 0.000 0.915 0.808
## sts_nst (.23.) 1.508 0.069 21.936 0.000 0.744 0.600
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy -0.102 0.052 -1.941 0.052 -0.135 -0.135
## Trust 0.187 0.032 5.836 0.000 0.576 0.576
## PersonalCnsqnc 0.033 0.046 0.715 0.475 0.085 0.085
## SelfDetermintn 0.178 0.051 3.469 0.001 0.263 0.263
## Meaning 0.206 0.053 3.862 0.000 0.233 0.233
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.169 0.017 9.706 0.000 0.169 0.169
## PersonalCnsqnc 0.171 0.017 10.302 0.000 0.203 0.203
## SelfDetermintn 0.238 0.016 14.943 0.000 0.498 0.498
## Meaning 0.217 0.014 15.135 0.000 0.593 0.593
## Trust ~~
## PersonalCnsqnc 1.530 0.055 28.010 0.000 0.785 0.785
## SelfDetermintn 0.413 0.024 17.358 0.000 0.374 0.374
## Meaning 0.229 0.016 13.898 0.000 0.271 0.271
## PersonalConsequence ~~
## SelfDetermintn 0.515 0.028 18.722 0.000 0.551 0.551
## Meaning 0.220 0.017 13.171 0.000 0.307 0.307
## SelfDetermination ~~
## Meaning 0.162 0.011 14.214 0.000 0.400 0.400
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.450 0.030 214.375 0.000 6.450 8.268
## .emp_wrk (.69.) 6.497 0.029 226.536 0.000 6.497 9.051
## .emp_mst (.70.) 6.263 0.033 192.646 0.000 6.263 7.238
## .emp_cpb (.71.) 6.461 0.030 213.618 0.000 6.461 8.153
## .emp_trs (.72.) 4.585 0.064 71.426 0.000 4.585 2.725
## .emp_trs (.73.) 4.786 0.065 73.121 0.000 4.786 2.781
## .emp_trs (.74.) 4.739 0.064 74.169 0.000 4.739 2.814
## .emp_cwr (.75.) 4.984 0.066 75.456 0.000 4.984 2.856
## .emp_wrk (.76.) 5.164 0.062 83.375 0.000 5.164 3.163
## .emp_cnt (.77.) 5.135 0.062 83.098 0.000 5.135 3.149
## .emp_nfn (.78.) 4.940 0.065 76.059 0.000 4.940 2.898
## .emp_pnn (.79.) 5.177 0.066 78.407 0.000 5.177 3.008
## .emp_wrk (.80.) 6.245 0.038 163.205 0.000 6.245 6.347
## .emp_dcd (.81.) 6.339 0.035 183.589 0.000 6.339 7.241
## .emp_ndp (.82.) 6.181 0.042 146.219 0.000 6.181 5.695
## .emp_prs (.83.) 6.347 0.033 190.954 0.000 6.347 7.495
## .emp_wrk (.84.) 6.471 0.030 215.512 0.000 6.471 8.395
## .emp_wrk (.85.) 6.222 0.037 167.830 0.000 6.222 6.512
## .emp_crw (.86.) 6.556 0.029 229.522 0.000 6.556 8.908
## .emp_wrk (.87.) 6.345 0.035 179.430 0.000 6.345 7.036
## .sts_myw (.88.) 4.251 0.034 123.309 0.000 4.251 4.702
## .sts_cwr (.89.) 3.803 0.044 86.263 0.000 3.803 3.359
## .sts_nst (.90.) 3.304 0.047 69.696 0.000 3.304 2.665
## Efficcy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PrsnlCn 0.000 0.000 0.000
## SlfDtrm 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Stsfctn 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 0.178 0.079 2.244 0.025 0.178 0.292
## .emp_workcpblty 0.220 0.076 2.875 0.004 0.220 0.426
## .emp_mastrsklls 0.511 0.073 6.954 0.000 0.511 0.682
## .emp_cpbltysccs 0.165 0.082 2.006 0.045 0.165 0.263
## .emp_trstcwrkrs 0.527 0.170 3.104 0.002 0.527 0.186
## .emp_trustshare 0.408 0.188 2.169 0.030 0.408 0.138
## .emp_trustprmss 0.420 0.180 2.326 0.020 0.420 0.148
## .emp_coworkrscr 0.651 0.203 3.211 0.001 0.651 0.214
## .emp_workimpact 1.016 0.174 5.837 0.000 1.016 0.381
## .emp_controlunt 0.929 0.174 5.338 0.000 0.929 0.349
## .emp_infuencent 0.743 0.184 4.040 0.000 0.743 0.256
## .emp_opinincnts 0.437 0.211 2.070 0.038 0.437 0.147
## .emp_workautnmy 0.439 0.113 3.898 0.000 0.439 0.453
## .emp_decidmywrk 0.332 0.091 3.663 0.000 0.332 0.433
## .emp_independnc 0.319 0.137 2.333 0.020 0.319 0.271
## .emp_persnlnttv 0.270 0.069 3.901 0.000 0.270 0.377
## .emp_workimp 0.284 0.079 3.594 0.000 0.284 0.478
## .emp_workmeanng 0.160 0.112 1.434 0.152 0.160 0.176
## .emp_carework 0.210 0.082 2.562 0.010 0.210 0.388
## .emp_workspecil 0.355 0.096 3.702 0.000 0.355 0.437
## .satis_mywork 0.574 0.075 7.607 0.000 0.574 0.702
## .sats_cwrkrswrk 0.445 0.104 4.292 0.000 0.445 0.347
## .satis_inst 0.983 0.080 12.260 0.000 0.983 0.640
## Efficacy 0.431 0.037 11.711 0.000 1.000 1.000
## Trust 2.304 0.104 22.082 0.000 1.000 1.000
## PersonalCnsqnc 1.649 0.089 18.601 0.000 1.000 1.000
## SelfDetermintn 0.529 0.042 12.545 0.000 1.000 1.000
## Meaning 0.310 0.027 11.491 0.000 1.000 1.000
## .Satisfaction 0.067 0.019 3.502 0.000 0.275 0.275
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.543 0.584
## emp_wrk 2.163 0.302 7.154 0.000 1.174 1.113
## emp_mst (.p3.) 0.743 0.046 16.019 0.000 0.403 0.468
## emp_cpb (.p4.) 1.036 0.059 17.537 0.000 0.562 0.678
## Trust =~
## emp_trs 1.000 1.448 0.843
## emp_trs (.p6.) 1.053 0.033 32.084 0.000 1.524 0.915
## emp_trs (.p7.) 1.024 0.032 31.900 0.000 1.483 0.935
## emp_cwr (.p8.) 1.019 0.033 31.255 0.000 1.476 0.901
## PersonalConsequence =~
## emp_wrk 1.000 1.199 0.750
## emp_cnt (.10.) 1.025 0.037 27.962 0.000 1.229 0.792
## emp_nfn (.11.) 1.145 0.040 28.786 0.000 1.373 0.822
## emp_pnn (.12.) 1.237 0.042 29.172 0.000 1.484 0.836
## SelfDetermination =~
## emp_wrk 1.000 0.921 0.753
## emp_dcd 1.151 0.110 10.449 0.000 1.060 0.847
## emp_ndp (.15.) 1.274 0.059 21.704 0.000 1.173 0.928
## emp_prs (.16.) 0.919 0.045 20.585 0.000 0.846 0.699
## Meaning =~
## emp_wrk 1.000 0.625 0.606
## emp_wrk (.18.) 1.558 0.083 18.667 0.000 0.974 0.895
## emp_crw (.19.) 1.034 0.060 17.295 0.000 0.646 0.709
## emp_wrk 1.755 0.200 8.786 0.000 1.097 0.992
## Satisfaction =~
## sts_myw 1.000 0.551 0.593
## sts_cwr (.22.) 1.854 0.081 22.818 0.000 1.022 0.968
## sts_nst (.23.) 1.508 0.069 21.936 0.000 0.831 0.660
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy 0.076 0.138 0.548 0.584 0.074 0.074
## Trust 0.175 0.083 2.114 0.035 0.459 0.459
## PersonalCnsqnc 0.023 0.143 0.165 0.869 0.051 0.051
## SelfDetermintn 0.070 0.135 0.516 0.606 0.116 0.116
## Meaning 0.167 0.162 1.027 0.305 0.189 0.189
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.195 0.039 5.009 0.000 0.248 0.248
## PersonalCnsqnc 0.130 0.035 3.696 0.000 0.200 0.200
## SelfDetermintn 0.189 0.034 5.501 0.000 0.378 0.378
## Meaning 0.220 0.030 7.356 0.000 0.648 0.648
## Trust ~~
## PersonalCnsqnc 1.384 0.079 17.441 0.000 0.797 0.797
## SelfDetermintn 0.775 0.064 12.055 0.000 0.581 0.581
## Meaning 0.337 0.044 7.724 0.000 0.373 0.373
## PersonalConsequence ~~
## SelfDetermintn 0.802 0.071 11.233 0.000 0.726 0.726
## Meaning 0.212 0.040 5.278 0.000 0.283 0.283
## SelfDetermination ~~
## Meaning 0.310 0.040 7.649 0.000 0.538 0.538
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.450 0.030 214.375 0.000 6.450 6.936
## .emp_wrk (.69.) 6.497 0.029 226.536 0.000 6.497 6.164
## .emp_mst (.70.) 6.263 0.033 192.646 0.000 6.263 7.268
## .emp_cpb (.71.) 6.461 0.030 213.618 0.000 6.461 7.786
## .emp_trs (.72.) 4.585 0.064 71.426 0.000 4.585 2.671
## .emp_trs (.73.) 4.786 0.065 73.121 0.000 4.786 2.872
## .emp_trs (.74.) 4.739 0.064 74.169 0.000 4.739 2.989
## .emp_cwr (.75.) 4.984 0.066 75.456 0.000 4.984 3.042
## .emp_wrk (.76.) 5.164 0.062 83.375 0.000 5.164 3.232
## .emp_cnt (.77.) 5.135 0.062 83.098 0.000 5.135 3.311
## .emp_nfn (.78.) 4.940 0.065 76.059 0.000 4.940 2.958
## .emp_pnn (.79.) 5.177 0.066 78.407 0.000 5.177 2.917
## .emp_wrk (.80.) 6.245 0.038 163.205 0.000 6.245 5.102
## .emp_dcd (.81.) 6.339 0.035 183.589 0.000 6.339 5.062
## .emp_ndp (.82.) 6.181 0.042 146.219 0.000 6.181 4.888
## .emp_prs (.83.) 6.347 0.033 190.954 0.000 6.347 5.244
## .emp_wrk (.84.) 6.471 0.030 215.512 0.000 6.471 6.277
## .emp_wrk (.85.) 6.222 0.037 167.830 0.000 6.222 5.717
## .emp_crw (.86.) 6.556 0.029 229.522 0.000 6.556 7.192
## .emp_wrk (.87.) 6.345 0.035 179.430 0.000 6.345 5.737
## .sts_myw (.88.) 4.251 0.034 123.309 0.000 4.251 4.573
## .sts_cwr (.89.) 3.803 0.044 86.263 0.000 3.803 3.600
## .sts_nst (.90.) 3.304 0.047 69.696 0.000 3.304 2.621
## Efficcy -0.014 0.036 -0.385 0.700 -0.025 -0.025
## Trust 0.024 0.082 0.297 0.767 0.017 0.017
## PrsnlCn -0.034 0.076 -0.448 0.654 -0.028 -0.028
## SlfDtrm -0.234 0.056 -4.141 0.000 -0.254 -0.254
## Meaning -0.046 0.038 -1.206 0.228 -0.073 -0.073
## .Stsfctn -0.018 0.051 -0.350 0.726 -0.032 -0.032
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_workcnfdnt 0.570 0.289 1.975 0.048 0.570 0.660
## .emp_workcpblty -0.266 0.489 -0.545 0.586 -0.266 -0.240
## .emp_mastrsklls 0.580 0.176 3.301 0.001 0.580 0.781
## .emp_cpbltysccs 0.372 0.282 1.322 0.186 0.372 0.541
## .emp_trstcwrkrs 0.851 0.313 2.717 0.007 0.851 0.289
## .emp_trustshare 0.454 0.350 1.295 0.195 0.454 0.163
## .emp_trustprmss 0.317 0.338 0.937 0.349 0.317 0.126
## .emp_coworkrscr 0.507 0.388 1.306 0.191 0.507 0.189
## .emp_workimpact 1.115 0.371 3.004 0.003 1.115 0.437
## .emp_controlunt 0.896 0.371 2.415 0.016 0.896 0.373
## .emp_infuencent 0.903 0.378 2.386 0.017 0.903 0.324
## .emp_opinincnts 0.949 0.470 2.021 0.043 0.949 0.301
## .emp_workautnmy 0.650 0.386 1.682 0.093 0.650 0.434
## .emp_decidmywrk 0.444 0.440 1.009 0.313 0.444 0.283
## .emp_independnc 0.223 0.383 0.580 0.562 0.223 0.139
## .emp_persnlnttv 0.748 0.382 1.961 0.050 0.748 0.511
## .emp_workimp 0.672 0.309 2.176 0.030 0.672 0.632
## .emp_workmeanng 0.236 0.328 0.720 0.471 0.236 0.199
## .emp_carework 0.413 0.298 1.386 0.166 0.413 0.497
## .emp_workspecil 0.020 0.441 0.044 0.965 0.020 0.016
## .satis_mywork 0.560 0.149 3.760 0.000 0.560 0.648
## .sats_cwrkrswrk 0.071 0.196 0.361 0.718 0.071 0.063
## .satis_inst 0.898 0.167 5.388 0.000 0.898 0.565
## Efficacy 0.294 0.051 5.764 0.000 1.000 1.000
## Trust 2.096 0.140 14.998 0.000 1.000 1.000
## PersonalCnsqnc 1.438 0.134 10.740 0.000 1.000 1.000
## SelfDetermintn 0.848 0.116 7.300 0.000 1.000 1.000
## Meaning 0.391 0.061 6.415 0.000 1.000 1.000
## .Satisfaction 0.148 0.040 3.742 0.000 0.487 0.487summary(MG4, stand = T, fit = T)## lavaan 0.6-9 ended normally after 161 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 174
## Number of equality constraints 60
##
## Number of observations per group: Used Total
## 0 605 635
## 1 115 121
##
## Model Test User Model:
##
## Test statistic 589.662
## Degrees of freedom 484
## P-value (Chi-square) 0.001
## Test statistic for each group:
## 0 430.587
## 1 159.075
##
## Model Test Baseline Model:
##
## Test statistic 15860.597
## Degrees of freedom 506
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.993
## Tucker-Lewis Index (TLI) 0.993
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.025
## 90 Percent confidence interval - lower 0.017
## 90 Percent confidence interval - upper 0.031
## P-value RMSEA <= 0.05 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.073
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Unstructured
##
##
## Group 1 [0]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.653 0.823
## emp_wrk 0.835 0.051 16.372 0.000 0.545 0.768
## emp_mst (.p3.) 0.744 0.046 16.025 0.000 0.486 0.558
## emp_cpb (.p4.) 1.035 0.059 17.529 0.000 0.676 0.845
## Trust =~
## emp_trs 1.000 1.516 0.892
## emp_trs (.p6.) 1.053 0.033 32.086 0.000 1.597 0.927
## emp_trs (.p7.) 1.025 0.032 31.905 0.000 1.554 0.926
## emp_cwr (.p8.) 1.020 0.033 31.259 0.000 1.546 0.890
## PersonalConsequence =~
## emp_wrk 1.000 1.281 0.784
## emp_cnt (.10.) 1.025 0.037 27.967 0.000 1.313 0.807
## emp_nfn (.11.) 1.145 0.040 28.791 0.000 1.467 0.859
## emp_pnn (.12.) 1.237 0.042 29.173 0.000 1.584 0.912
## SelfDetermination =~
## emp_wrk 1.000 0.726 0.733
## emp_dcd 0.906 0.047 19.342 0.000 0.658 0.750
## emp_ndp (.15.) 1.270 0.058 21.763 0.000 0.923 0.856
## emp_prs (.16.) 0.921 0.045 20.662 0.000 0.669 0.783
## Meaning =~
## emp_wrk 1.000 0.555 0.708
## emp_wrk (.18.) 1.558 0.083 18.706 0.000 0.865 0.904
## emp_crw (.19.) 1.034 0.060 17.317 0.000 0.574 0.772
## emp_wrk 1.222 0.072 17.020 0.000 0.678 0.759
## Satisfaction =~
## sts_myw 1.000 0.501 0.552
## sts_cwr (.22.) 1.852 0.081 22.826 0.000 0.928 0.837
## sts_nst (.23.) 1.507 0.069 21.941 0.000 0.755 0.609
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy -0.104 0.054 -1.945 0.052 -0.136 -0.136
## Trust 0.188 0.033 5.776 0.000 0.568 0.568
## PersonalCnsqnc 0.032 0.047 0.684 0.494 0.082 0.082
## SelfDetermintn 0.180 0.052 3.439 0.001 0.261 0.261
## Meaning 0.208 0.054 3.851 0.000 0.231 0.231
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.168 0.017 9.709 0.000 0.170 0.170
## PersonalCnsqnc 0.171 0.017 10.308 0.000 0.204 0.204
## SelfDetermintn 0.238 0.016 14.951 0.000 0.501 0.501
## Meaning 0.216 0.014 15.133 0.000 0.596 0.596
## Trust ~~
## PersonalCnsqnc 1.529 0.055 28.011 0.000 0.787 0.787
## SelfDetermintn 0.413 0.024 17.376 0.000 0.375 0.375
## Meaning 0.229 0.016 13.903 0.000 0.272 0.272
## PersonalConsequence ~~
## SelfDetermintn 0.515 0.027 18.747 0.000 0.554 0.554
## Meaning 0.219 0.017 13.175 0.000 0.308 0.308
## SelfDetermination ~~
## Meaning 0.162 0.011 14.230 0.000 0.402 0.402
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.449 0.030 214.109 0.000 6.449 8.130
## .emp_wrk (.69.) 6.496 0.029 227.023 0.000 6.496 9.150
## .emp_mst (.70.) 6.262 0.033 192.431 0.000 6.262 7.201
## .emp_cpb (.71.) 6.460 0.030 213.187 0.000 6.460 8.079
## .emp_trs (.72.) 4.585 0.064 71.428 0.000 4.585 2.698
## .emp_trs (.73.) 4.786 0.065 73.121 0.000 4.786 2.779
## .emp_trs (.74.) 4.739 0.064 74.168 0.000 4.739 2.825
## .emp_cwr (.75.) 4.984 0.066 75.455 0.000 4.984 2.870
## .emp_wrk (.76.) 5.164 0.062 83.375 0.000 5.164 3.159
## .emp_cnt (.77.) 5.135 0.062 83.098 0.000 5.135 3.157
## .emp_nfn (.78.) 4.940 0.065 76.059 0.000 4.940 2.891
## .emp_pnn (.79.) 5.177 0.066 78.408 0.000 5.177 2.979
## .emp_wrk (.80.) 6.245 0.038 163.206 0.000 6.245 6.304
## .emp_dcd (.81.) 6.339 0.035 183.626 0.000 6.339 7.225
## .emp_ndp (.82.) 6.181 0.042 146.235 0.000 6.181 5.735
## .emp_prs (.83.) 6.347 0.033 190.950 0.000 6.347 7.433
## .emp_wrk (.84.) 6.472 0.030 215.452 0.000 6.472 8.252
## .emp_wrk (.85.) 6.222 0.037 167.699 0.000 6.222 6.501
## .emp_crw (.86.) 6.556 0.029 229.422 0.000 6.556 8.813
## .emp_wrk (.87.) 6.345 0.035 179.709 0.000 6.345 7.095
## .sts_myw (.88.) 4.251 0.034 123.305 0.000 4.251 4.686
## .sts_cwr (.89.) 3.803 0.044 86.267 0.000 3.803 3.430
## .sts_nst (.90.) 3.304 0.047 69.695 0.000 3.304 2.664
## Efficcy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PrsnlCn 0.000 0.000 0.000
## SlfDtrm 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Stsfctn 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.203 0.077 2.652 0.008 0.203 0.323
## .emp_wrk (.30.) 0.207 0.075 2.741 0.006 0.207 0.410
## .emp_mst (.31.) 0.521 0.068 7.635 0.000 0.521 0.688
## .emp_cpb (.32.) 0.183 0.080 2.297 0.022 0.183 0.286
## .emp_trs (.33.) 0.590 0.157 3.759 0.000 0.590 0.204
## .emp_trs (.34.) 0.417 0.174 2.394 0.017 0.417 0.140
## .emp_trs (.35.) 0.400 0.167 2.395 0.017 0.400 0.142
## .emp_cwr (.36.) 0.624 0.187 3.334 0.001 0.624 0.207
## .emp_wrk (.37.) 1.030 0.162 6.364 0.000 1.030 0.386
## .emp_cnt (.38.) 0.923 0.162 5.701 0.000 0.923 0.349
## .emp_nfn (.39.) 0.767 0.171 4.481 0.000 0.767 0.263
## .emp_pnn (.40.) 0.510 0.198 2.571 0.010 0.510 0.169
## .emp_wrk (.41.) 0.454 0.109 4.166 0.000 0.454 0.463
## .emp_dcd (.42.) 0.337 0.089 3.795 0.000 0.337 0.438
## .emp_ndp (.43.) 0.310 0.131 2.372 0.018 0.310 0.267
## .emp_prs (.44.) 0.282 0.069 4.114 0.000 0.282 0.387
## .emp_wrk (.45.) 0.307 0.077 3.989 0.000 0.307 0.499
## .emp_wrk (.46.) 0.168 0.108 1.561 0.119 0.168 0.183
## .emp_crw (.47.) 0.224 0.080 2.810 0.005 0.224 0.404
## .emp_wrk (.48.) 0.339 0.094 3.622 0.000 0.339 0.424
## .sts_myw (.49.) 0.572 0.068 8.418 0.000 0.572 0.695
## .sts_cwr (.50.) 0.369 0.094 3.909 0.000 0.369 0.300
## .sts_nst (.51.) 0.968 0.074 13.077 0.000 0.968 0.629
## Efficcy 0.426 0.036 11.725 0.000 1.000 1.000
## Trust 2.298 0.103 22.318 0.000 1.000 1.000
## PrsnlCn 1.641 0.088 18.731 0.000 1.000 1.000
## SlfDtrm 0.527 0.042 12.632 0.000 1.000 1.000
## Meaning 0.308 0.027 11.567 0.000 1.000 1.000
## .Stsfctn 0.074 0.019 3.988 0.000 0.295 0.295
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.562 0.780
## emp_wrk 1.944 0.239 8.147 0.000 1.092 0.923
## emp_mst (.p3.) 0.744 0.046 16.025 0.000 0.418 0.501
## emp_cpb (.p4.) 1.035 0.059 17.529 0.000 0.581 0.806
## Trust =~
## emp_trs 1.000 1.452 0.884
## emp_trs (.p6.) 1.053 0.033 32.086 0.000 1.530 0.921
## emp_trs (.p7.) 1.025 0.032 31.905 0.000 1.488 0.920
## emp_cwr (.p8.) 1.020 0.033 31.259 0.000 1.481 0.882
## PersonalConsequence =~
## emp_wrk 1.000 1.219 0.769
## emp_cnt (.10.) 1.025 0.037 27.967 0.000 1.249 0.793
## emp_nfn (.11.) 1.145 0.040 28.791 0.000 1.396 0.847
## emp_pnn (.12.) 1.237 0.042 29.173 0.000 1.508 0.904
## SelfDetermination =~
## emp_wrk 1.000 0.937 0.812
## emp_dcd 1.148 0.100 11.429 0.000 1.076 0.880
## emp_ndp (.15.) 1.270 0.058 21.763 0.000 1.190 0.906
## emp_prs (.16.) 0.921 0.045 20.662 0.000 0.863 0.852
## Meaning =~
## emp_wrk 1.000 0.638 0.755
## emp_wrk (.18.) 1.558 0.083 18.706 0.000 0.993 0.924
## emp_crw (.19.) 1.034 0.060 17.317 0.000 0.659 0.813
## emp_wrk 1.660 0.171 9.720 0.000 1.058 0.876
## Satisfaction =~
## sts_myw 1.000 0.520 0.567
## sts_cwr (.22.) 1.852 0.081 22.826 0.000 0.964 0.846
## sts_nst (.23.) 1.507 0.069 21.941 0.000 0.784 0.623
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy 0.089 0.131 0.680 0.496 0.096 0.096
## Trust 0.172 0.071 2.417 0.016 0.481 0.481
## PersonalCnsqnc 0.027 0.117 0.233 0.816 0.064 0.064
## SelfDetermintn 0.065 0.114 0.571 0.568 0.117 0.117
## Meaning 0.158 0.146 1.085 0.278 0.194 0.194
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.199 0.040 5.020 0.000 0.244 0.244
## PersonalCnsqnc 0.131 0.036 3.613 0.000 0.191 0.191
## SelfDetermintn 0.196 0.035 5.576 0.000 0.372 0.372
## Meaning 0.230 0.030 7.562 0.000 0.641 0.641
## Trust ~~
## PersonalCnsqnc 1.383 0.079 17.441 0.000 0.781 0.781
## SelfDetermintn 0.775 0.064 12.120 0.000 0.569 0.569
## Meaning 0.343 0.044 7.808 0.000 0.370 0.370
## PersonalConsequence ~~
## SelfDetermintn 0.803 0.071 11.293 0.000 0.703 0.703
## Meaning 0.215 0.041 5.292 0.000 0.277 0.277
## SelfDetermination ~~
## Meaning 0.315 0.041 7.751 0.000 0.528 0.528
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.449 0.030 214.109 0.000 6.449 8.955
## .emp_wrk (.69.) 6.496 0.029 227.023 0.000 6.496 5.493
## .emp_mst (.70.) 6.262 0.033 192.431 0.000 6.262 7.511
## .emp_cpb (.71.) 6.460 0.030 213.187 0.000 6.460 8.953
## .emp_trs (.72.) 4.585 0.064 71.428 0.000 4.585 2.791
## .emp_trs (.73.) 4.786 0.065 73.121 0.000 4.786 2.883
## .emp_trs (.74.) 4.739 0.064 74.168 0.000 4.739 2.931
## .emp_cwr (.75.) 4.984 0.066 75.455 0.000 4.984 2.969
## .emp_wrk (.76.) 5.164 0.062 83.375 0.000 5.164 3.255
## .emp_cnt (.77.) 5.135 0.062 83.098 0.000 5.135 3.258
## .emp_nfn (.78.) 4.940 0.065 76.059 0.000 4.940 2.997
## .emp_pnn (.79.) 5.177 0.066 78.408 0.000 5.177 3.103
## .emp_wrk (.80.) 6.245 0.038 163.206 0.000 6.245 5.411
## .emp_dcd (.81.) 6.339 0.035 183.626 0.000 6.339 5.185
## .emp_ndp (.82.) 6.181 0.042 146.235 0.000 6.181 4.703
## .emp_prs (.83.) 6.347 0.033 190.950 0.000 6.347 6.265
## .emp_wrk (.84.) 6.472 0.030 215.452 0.000 6.472 7.663
## .emp_wrk (.85.) 6.222 0.037 167.699 0.000 6.222 5.792
## .emp_crw (.86.) 6.556 0.029 229.422 0.000 6.556 8.080
## .emp_wrk (.87.) 6.345 0.035 179.709 0.000 6.345 5.252
## .sts_myw (.88.) 4.251 0.034 123.305 0.000 4.251 4.631
## .sts_cwr (.89.) 3.803 0.044 86.267 0.000 3.803 3.339
## .sts_nst (.90.) 3.304 0.047 69.695 0.000 3.304 2.626
## Efficcy -0.011 0.038 -0.297 0.766 -0.020 -0.020
## Trust 0.024 0.082 0.297 0.767 0.017 0.017
## PrsnlCn -0.034 0.076 -0.448 0.654 -0.028 -0.028
## SlfDtrm -0.234 0.056 -4.146 0.000 -0.250 -0.250
## Meaning -0.048 0.039 -1.228 0.219 -0.075 -0.075
## .Stsfctn -0.019 0.050 -0.381 0.703 -0.036 -0.036
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.203 0.077 2.652 0.008 0.203 0.392
## .emp_wrk (.30.) 0.207 0.075 2.741 0.006 0.207 0.148
## .emp_mst (.31.) 0.521 0.068 7.635 0.000 0.521 0.749
## .emp_cpb (.32.) 0.183 0.080 2.297 0.022 0.183 0.351
## .emp_trs (.33.) 0.590 0.157 3.759 0.000 0.590 0.219
## .emp_trs (.34.) 0.417 0.174 2.394 0.017 0.417 0.151
## .emp_trs (.35.) 0.400 0.167 2.395 0.017 0.400 0.153
## .emp_cwr (.36.) 0.624 0.187 3.334 0.001 0.624 0.221
## .emp_wrk (.37.) 1.030 0.162 6.364 0.000 1.030 0.409
## .emp_cnt (.38.) 0.923 0.162 5.701 0.000 0.923 0.372
## .emp_nfn (.39.) 0.767 0.171 4.481 0.000 0.767 0.282
## .emp_pnn (.40.) 0.510 0.198 2.571 0.010 0.510 0.183
## .emp_wrk (.41.) 0.454 0.109 4.166 0.000 0.454 0.341
## .emp_dcd (.42.) 0.337 0.089 3.795 0.000 0.337 0.225
## .emp_ndp (.43.) 0.310 0.131 2.372 0.018 0.310 0.180
## .emp_prs (.44.) 0.282 0.069 4.114 0.000 0.282 0.275
## .emp_wrk (.45.) 0.307 0.077 3.989 0.000 0.307 0.430
## .emp_wrk (.46.) 0.168 0.108 1.561 0.119 0.168 0.145
## .emp_crw (.47.) 0.224 0.080 2.810 0.005 0.224 0.340
## .emp_wrk (.48.) 0.339 0.094 3.622 0.000 0.339 0.233
## .sts_myw (.49.) 0.572 0.068 8.418 0.000 0.572 0.679
## .sts_cwr (.50.) 0.369 0.094 3.909 0.000 0.369 0.284
## .sts_nst (.51.) 0.968 0.074 13.077 0.000 0.968 0.611
## Efficcy 0.315 0.052 6.088 0.000 1.000 1.000
## Trust 2.109 0.125 16.891 0.000 1.000 1.000
## PrsnlCn 1.487 0.117 12.702 0.000 1.000 1.000
## SlfDtrm 0.878 0.104 8.481 0.000 1.000 1.000
## Meaning 0.407 0.056 7.203 0.000 1.000 1.000
## .Stsfctn 0.115 0.032 3.596 0.000 0.425 0.425summary(MG5, stand = T, fit = T)## lavaan 0.6-9 ended normally after 290 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 174
## Number of equality constraints 66
##
## Number of observations per group: Used Total
## 0 605 635
## 1 115 121
##
## Model Test User Model:
##
## Test statistic 617.986
## Degrees of freedom 490
## P-value (Chi-square) 0.000
## Test statistic for each group:
## 0 432.727
## 1 185.259
##
## Model Test Baseline Model:
##
## Test statistic 15860.597
## Degrees of freedom 506
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.992
## Tucker-Lewis Index (TLI) 0.991
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.027
## 90 Percent confidence interval - lower 0.020
## 90 Percent confidence interval - upper 0.033
## P-value RMSEA <= 0.05 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.075
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Unstructured
##
##
## Group 1 [0]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.640 0.811
## emp_wrk 0.854 0.051 16.613 0.000 0.546 0.769
## emp_mst (.p3.) 0.742 0.046 16.011 0.000 0.475 0.549
## emp_cpb (.p4.) 1.035 0.059 17.453 0.000 0.662 0.833
## Trust =~
## emp_trs 1.000 1.505 0.891
## emp_trs (.p6.) 1.052 0.033 32.071 0.000 1.584 0.926
## emp_trs (.p7.) 1.024 0.032 31.893 0.000 1.541 0.925
## emp_cwr (.p8.) 1.019 0.033 31.250 0.000 1.533 0.888
## PersonalConsequence =~
## emp_wrk 1.000 1.272 0.782
## emp_cnt (.10.) 1.023 0.037 27.958 0.000 1.302 0.804
## emp_nfn (.11.) 1.145 0.040 28.786 0.000 1.456 0.857
## emp_pnn (.12.) 1.237 0.042 29.175 0.000 1.573 0.910
## SelfDetermination =~
## emp_wrk 1.000 0.746 0.743
## emp_dcd 0.889 0.046 19.534 0.000 0.664 0.750
## emp_ndp (.15.) 1.272 0.058 21.748 0.000 0.949 0.857
## emp_prs (.16.) 0.907 0.044 20.619 0.000 0.676 0.788
## Meaning =~
## emp_wrk 1.000 0.564 0.716
## emp_wrk (.18.) 1.552 0.083 18.677 0.000 0.875 0.904
## emp_crw (.19.) 1.029 0.059 17.315 0.000 0.581 0.776
## emp_wrk 1.206 0.070 17.177 0.000 0.681 0.758
## Satisfaction =~
## sts_myw 1.000 0.501 0.552
## sts_cwr (.22.) 1.852 0.081 22.827 0.000 0.928 0.837
## sts_nst (.23.) 1.507 0.069 21.943 0.000 0.755 0.609
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy -0.101 0.055 -1.838 0.066 -0.129 -0.129
## Trust 0.194 0.035 5.560 0.000 0.584 0.584
## PersonalCnsqnc 0.029 0.050 0.590 0.555 0.074 0.074
## SelfDetermintn 0.170 0.050 3.420 0.001 0.253 0.253
## Meaning 0.202 0.053 3.827 0.000 0.227 0.227
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.168 0.017 9.720 0.000 0.174 0.174
## PersonalCnsqnc 0.171 0.017 10.323 0.000 0.210 0.210
## SelfDetermintn 0.238 0.016 14.956 0.000 0.499 0.499
## Meaning 0.216 0.014 15.138 0.000 0.597 0.597
## Trust ~~
## PersonalCnsqnc 1.531 0.055 28.013 0.000 0.800 0.800
## SelfDetermintn 0.417 0.024 17.422 0.000 0.371 0.371
## Meaning 0.230 0.017 13.925 0.000 0.271 0.271
## PersonalConsequence ~~
## SelfDetermintn 0.520 0.028 18.798 0.000 0.548 0.548
## Meaning 0.221 0.017 13.194 0.000 0.308 0.308
## SelfDetermination ~~
## Meaning 0.164 0.011 14.264 0.000 0.389 0.389
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.449 0.030 213.752 0.000 6.449 8.170
## .emp_wrk (.69.) 6.495 0.029 227.676 0.000 6.495 9.139
## .emp_mst (.70.) 6.262 0.033 192.157 0.000 6.262 7.241
## .emp_cpb (.71.) 6.460 0.030 212.605 0.000 6.460 8.127
## .emp_trs (.72.) 4.585 0.064 71.426 0.000 4.585 2.715
## .emp_trs (.73.) 4.786 0.065 73.121 0.000 4.786 2.797
## .emp_trs (.74.) 4.739 0.064 74.169 0.000 4.739 2.844
## .emp_cwr (.75.) 4.984 0.066 75.456 0.000 4.984 2.887
## .emp_wrk (.76.) 5.164 0.062 83.374 0.000 5.164 3.174
## .emp_cnt (.77.) 5.135 0.062 83.102 0.000 5.135 3.172
## .emp_nfn (.78.) 4.940 0.065 76.059 0.000 4.940 2.908
## .emp_pnn (.79.) 5.177 0.066 78.406 0.000 5.177 2.995
## .emp_wrk (.80.) 6.245 0.038 163.278 0.000 6.245 6.222
## .emp_dcd (.81.) 6.340 0.035 183.366 0.000 6.340 7.168
## .emp_ndp (.82.) 6.180 0.042 146.340 0.000 6.180 5.582
## .emp_prs (.83.) 6.346 0.033 191.050 0.000 6.346 7.391
## .emp_wrk (.84.) 6.471 0.030 215.523 0.000 6.471 8.214
## .emp_wrk (.85.) 6.222 0.037 167.885 0.000 6.222 6.422
## .emp_crw (.86.) 6.556 0.029 229.566 0.000 6.556 8.759
## .emp_wrk (.87.) 6.346 0.035 179.342 0.000 6.346 7.069
## .sts_myw (.88.) 4.251 0.034 123.305 0.000 4.251 4.686
## .sts_cwr (.89.) 3.803 0.044 86.267 0.000 3.803 3.430
## .sts_nst (.90.) 3.304 0.047 69.695 0.000 3.304 2.664
## Efficcy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PrsnlCn 0.000 0.000 0.000
## SlfDtrm 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Stsfctn 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.213 0.076 2.803 0.005 0.213 0.343
## .emp_wrk (.30.) 0.206 0.075 2.735 0.006 0.206 0.409
## .emp_mst (.31.) 0.522 0.068 7.666 0.000 0.522 0.699
## .emp_cpb (.32.) 0.193 0.079 2.443 0.015 0.193 0.305
## .emp_trs (.33.) 0.588 0.157 3.747 0.000 0.588 0.206
## .emp_trs (.34.) 0.419 0.174 2.407 0.016 0.419 0.143
## .emp_trs (.35.) 0.403 0.167 2.416 0.016 0.403 0.145
## .emp_cwr (.36.) 0.628 0.187 3.356 0.001 0.628 0.211
## .emp_wrk (.37.) 1.030 0.162 6.361 0.000 1.030 0.389
## .emp_cnt (.38.) 0.927 0.162 5.727 0.000 0.927 0.354
## .emp_nfn (.39.) 0.766 0.171 4.479 0.000 0.766 0.266
## .emp_pnn (.40.) 0.512 0.198 2.586 0.010 0.512 0.171
## .emp_wrk (.41.) 0.451 0.109 4.144 0.000 0.451 0.448
## .emp_dcd (.42.) 0.342 0.089 3.860 0.000 0.342 0.437
## .emp_ndp (.43.) 0.325 0.130 2.503 0.012 0.325 0.265
## .emp_prs (.44.) 0.280 0.068 4.087 0.000 0.280 0.379
## .emp_wrk (.45.) 0.302 0.077 3.929 0.000 0.302 0.487
## .emp_wrk (.46.) 0.172 0.107 1.603 0.109 0.172 0.183
## .emp_crw (.47.) 0.223 0.080 2.800 0.005 0.223 0.398
## .emp_wrk (.48.) 0.342 0.094 3.656 0.000 0.342 0.425
## .sts_myw (.49.) 0.572 0.068 8.417 0.000 0.572 0.695
## .sts_cwr (.50.) 0.369 0.094 3.911 0.000 0.369 0.300
## .sts_nst (.51.) 0.968 0.074 13.078 0.000 0.968 0.629
## Efficcy (.52.) 0.410 0.034 11.979 0.000 1.000 1.000
## Trust (.53.) 2.265 0.100 22.652 0.000 1.000 1.000
## PrsnlCn (.54.) 1.618 0.085 18.939 0.000 1.000 1.000
## SlfDtrm (.55.) 0.557 0.042 13.319 0.000 1.000 1.000
## Meaning (.56.) 0.318 0.027 11.934 0.000 1.000 1.000
## .Stsfctn (.57.) 0.074 0.019 3.958 0.000 0.293 0.293
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.640 0.811
## emp_wrk 1.687 0.177 9.522 0.000 1.080 0.922
## emp_mst (.p3.) 0.742 0.046 16.011 0.000 0.475 0.549
## emp_cpb (.p4.) 1.035 0.059 17.453 0.000 0.662 0.833
## Trust =~
## emp_trs 1.000 1.505 0.891
## emp_trs (.p6.) 1.052 0.033 32.071 0.000 1.584 0.926
## emp_trs (.p7.) 1.024 0.032 31.893 0.000 1.541 0.925
## emp_cwr (.p8.) 1.019 0.033 31.250 0.000 1.533 0.888
## PersonalConsequence =~
## emp_wrk 1.000 1.272 0.782
## emp_cnt (.10.) 1.023 0.037 27.958 0.000 1.302 0.804
## emp_nfn (.11.) 1.145 0.040 28.786 0.000 1.456 0.857
## emp_pnn (.12.) 1.237 0.042 29.175 0.000 1.573 0.910
## SelfDetermination =~
## emp_wrk 1.000 0.746 0.743
## emp_dcd 1.250 0.107 11.691 0.000 0.932 0.847
## emp_ndp (.15.) 1.272 0.058 21.748 0.000 0.949 0.857
## emp_prs (.16.) 0.907 0.044 20.619 0.000 0.676 0.788
## Meaning =~
## emp_wrk 1.000 0.564 0.716
## emp_wrk (.18.) 1.552 0.083 18.677 0.000 0.875 0.904
## emp_crw (.19.) 1.029 0.059 17.315 0.000 0.581 0.776
## emp_wrk 1.783 0.174 10.239 0.000 1.006 0.864
## Satisfaction =~
## sts_myw 1.000 0.520 0.567
## sts_cwr (.22.) 1.852 0.081 22.827 0.000 0.963 0.846
## sts_nst (.23.) 1.507 0.069 21.943 0.000 0.784 0.623
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy 0.509 2.158 0.236 0.813 0.627 0.627
## Trust 0.343 0.825 0.415 0.678 0.992 0.992
## PersonalCnsqnc -1.834 7.438 -0.247 0.805 -4.483 -4.483
## SelfDetermintn 4.347 17.053 0.255 0.799 6.233 6.233
## Meaning -3.299 14.362 -0.230 0.818 -3.577 -3.577
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.204 0.041 4.969 0.000 0.212 0.212
## PersonalCnsqnc 0.132 0.038 3.497 0.000 0.162 0.162
## SelfDetermintn 0.196 0.035 5.538 0.000 0.410 0.410
## Meaning 0.232 0.030 7.645 0.000 0.643 0.643
## Trust ~~
## PersonalCnsqnc 1.386 0.079 17.471 0.000 0.724 0.724
## SelfDetermintn 0.758 0.063 11.993 0.000 0.675 0.675
## Meaning 0.337 0.043 7.825 0.000 0.397 0.397
## PersonalConsequence ~~
## SelfDetermintn 0.802 0.059 13.610 0.000 0.845 0.845
## Meaning 0.207 0.039 5.368 0.000 0.289 0.289
## SelfDetermination ~~
## Meaning 0.314 0.032 9.859 0.000 0.745 0.745
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.449 0.030 213.752 0.000 6.449 8.170
## .emp_wrk (.69.) 6.495 0.029 227.676 0.000 6.495 5.544
## .emp_mst (.70.) 6.262 0.033 192.157 0.000 6.262 7.241
## .emp_cpb (.71.) 6.460 0.030 212.605 0.000 6.460 8.127
## .emp_trs (.72.) 4.585 0.064 71.426 0.000 4.585 2.715
## .emp_trs (.73.) 4.786 0.065 73.121 0.000 4.786 2.797
## .emp_trs (.74.) 4.739 0.064 74.169 0.000 4.739 2.844
## .emp_cwr (.75.) 4.984 0.066 75.456 0.000 4.984 2.887
## .emp_wrk (.76.) 5.164 0.062 83.374 0.000 5.164 3.174
## .emp_cnt (.77.) 5.135 0.062 83.102 0.000 5.135 3.172
## .emp_nfn (.78.) 4.940 0.065 76.059 0.000 4.940 2.908
## .emp_pnn (.79.) 5.177 0.066 78.406 0.000 5.177 2.995
## .emp_wrk (.80.) 6.245 0.038 163.278 0.000 6.245 6.222
## .emp_dcd (.81.) 6.340 0.035 183.366 0.000 6.340 5.760
## .emp_ndp (.82.) 6.180 0.042 146.340 0.000 6.180 5.582
## .emp_prs (.83.) 6.346 0.033 191.050 0.000 6.346 7.391
## .emp_wrk (.84.) 6.471 0.030 215.523 0.000 6.471 8.214
## .emp_wrk (.85.) 6.222 0.037 167.885 0.000 6.222 6.422
## .emp_crw (.86.) 6.556 0.029 229.566 0.000 6.556 8.759
## .emp_wrk (.87.) 6.346 0.035 179.342 0.000 6.346 5.452
## .sts_myw (.88.) 4.251 0.034 123.305 0.000 4.251 4.631
## .sts_cwr (.89.) 3.803 0.044 86.267 0.000 3.803 3.340
## .sts_nst (.90.) 3.304 0.047 69.695 0.000 3.304 2.626
## Efficcy -0.007 0.040 -0.179 0.858 -0.011 -0.011
## Trust 0.024 0.082 0.297 0.767 0.016 0.016
## PrsnlCn -0.034 0.076 -0.449 0.654 -0.027 -0.027
## SlfDtrm -0.227 0.055 -4.118 0.000 -0.305 -0.305
## Meaning -0.045 0.038 -1.199 0.231 -0.080 -0.080
## .Stsfctn 0.732 2.985 0.245 0.806 1.408 1.408
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.213 0.076 2.803 0.005 0.213 0.343
## .emp_wrk (.30.) 0.206 0.075 2.735 0.006 0.206 0.150
## .emp_mst (.31.) 0.522 0.068 7.666 0.000 0.522 0.699
## .emp_cpb (.32.) 0.193 0.079 2.443 0.015 0.193 0.305
## .emp_trs (.33.) 0.588 0.157 3.747 0.000 0.588 0.206
## .emp_trs (.34.) 0.419 0.174 2.407 0.016 0.419 0.143
## .emp_trs (.35.) 0.403 0.167 2.416 0.016 0.403 0.145
## .emp_cwr (.36.) 0.628 0.187 3.356 0.001 0.628 0.211
## .emp_wrk (.37.) 1.030 0.162 6.361 0.000 1.030 0.389
## .emp_cnt (.38.) 0.927 0.162 5.727 0.000 0.927 0.354
## .emp_nfn (.39.) 0.766 0.171 4.479 0.000 0.766 0.266
## .emp_pnn (.40.) 0.512 0.198 2.586 0.010 0.512 0.171
## .emp_wrk (.41.) 0.451 0.109 4.144 0.000 0.451 0.448
## .emp_dcd (.42.) 0.342 0.089 3.860 0.000 0.342 0.282
## .emp_ndp (.43.) 0.325 0.130 2.503 0.012 0.325 0.265
## .emp_prs (.44.) 0.280 0.068 4.087 0.000 0.280 0.379
## .emp_wrk (.45.) 0.302 0.077 3.929 0.000 0.302 0.487
## .emp_wrk (.46.) 0.172 0.107 1.603 0.109 0.172 0.183
## .emp_crw (.47.) 0.223 0.080 2.800 0.005 0.223 0.398
## .emp_wrk (.48.) 0.342 0.094 3.656 0.000 0.342 0.253
## .sts_myw (.49.) 0.572 0.068 8.417 0.000 0.572 0.679
## .sts_cwr (.50.) 0.369 0.094 3.911 0.000 0.369 0.284
## .sts_nst (.51.) 0.968 0.074 13.078 0.000 0.968 0.612
## Efficcy (.52.) 0.410 0.034 11.979 0.000 1.000 1.000
## Trust (.53.) 2.265 0.100 22.652 0.000 1.000 1.000
## PrsnlCn (.54.) 1.618 0.085 18.939 0.000 1.000 1.000
## SlfDtrm (.55.) 0.557 0.042 13.319 0.000 1.000 1.000
## Meaning (.56.) 0.318 0.027 11.934 0.000 1.000 1.000
## .Stsfctn (.57.) 0.074 0.019 3.958 0.000 0.272 0.272summary(PMG5, stand = T, fit = T)## lavaan 0.6-9 ended normally after 94 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 174
## Number of equality constraints 65
##
## Number of observations per group: Used Total
## 0 605 635
## 1 115 121
##
## Model Test User Model:
##
## Test statistic 604.320
## Degrees of freedom 489
## P-value (Chi-square) 0.000
## Test statistic for each group:
## 0 432.618
## 1 171.703
##
## Model Test Baseline Model:
##
## Test statistic 15860.597
## Degrees of freedom 506
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.992
## Tucker-Lewis Index (TLI) 0.992
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.026
## 90 Percent confidence interval - lower 0.018
## 90 Percent confidence interval - upper 0.032
## P-value RMSEA <= 0.05 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.074
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Unstructured
##
##
## Group 1 [0]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.640 0.811
## emp_wrk 0.854 0.051 16.619 0.000 0.547 0.769
## emp_mst (.p3.) 0.743 0.046 16.019 0.000 0.475 0.550
## emp_cpb (.p4.) 1.034 0.059 17.458 0.000 0.662 0.833
## Trust =~
## emp_trs 1.000 1.506 0.891
## emp_trs (.p6.) 1.053 0.033 32.068 0.000 1.585 0.926
## emp_trs (.p7.) 1.024 0.032 31.889 0.000 1.541 0.925
## emp_cwr (.p8.) 1.019 0.033 31.245 0.000 1.534 0.889
## PersonalConsequence =~
## emp_wrk 1.000 1.272 0.782
## emp_cnt (.10.) 1.023 0.037 27.953 0.000 1.302 0.804
## emp_nfn (.11.) 1.145 0.040 28.781 0.000 1.457 0.857
## emp_pnn (.12.) 1.237 0.042 29.170 0.000 1.574 0.911
## SelfDetermination =~
## emp_wrk 1.000 0.727 0.734
## emp_dcd 0.906 0.047 19.343 0.000 0.659 0.751
## emp_ndp (.15.) 1.270 0.058 21.761 0.000 0.923 0.857
## emp_prs (.16.) 0.921 0.045 20.659 0.000 0.669 0.783
## Meaning =~
## emp_wrk 1.000 0.565 0.717
## emp_wrk (.18.) 1.549 0.083 18.679 0.000 0.875 0.903
## emp_crw (.19.) 1.028 0.059 17.318 0.000 0.580 0.776
## emp_wrk 1.205 0.070 17.173 0.000 0.681 0.758
## Satisfaction =~
## sts_myw 1.000 0.506 0.556
## sts_cwr (.22.) 1.851 0.081 22.834 0.000 0.937 0.838
## sts_nst (.23.) 1.505 0.069 21.935 0.000 0.762 0.612
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy -0.098 0.055 -1.773 0.076 -0.124 -0.124
## Trust 0.190 0.035 5.500 0.000 0.565 0.565
## PersonalCnsqnc 0.032 0.050 0.646 0.518 0.081 0.081
## SelfDetermintn 0.175 0.053 3.289 0.001 0.252 0.252
## Meaning 0.196 0.052 3.749 0.000 0.219 0.219
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.168 0.017 9.704 0.000 0.174 0.174
## PersonalCnsqnc 0.171 0.017 10.320 0.000 0.209 0.209
## SelfDetermintn 0.236 0.016 14.941 0.000 0.508 0.508
## Meaning 0.216 0.014 15.141 0.000 0.597 0.597
## Trust ~~
## PersonalCnsqnc 1.531 0.055 28.014 0.000 0.799 0.799
## SelfDetermintn 0.414 0.024 17.403 0.000 0.378 0.378
## Meaning 0.231 0.017 13.953 0.000 0.272 0.272
## PersonalConsequence ~~
## SelfDetermintn 0.515 0.027 18.749 0.000 0.557 0.557
## Meaning 0.221 0.017 13.200 0.000 0.308 0.308
## SelfDetermination ~~
## Meaning 0.163 0.011 14.264 0.000 0.398 0.398
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.449 0.030 213.749 0.000 6.449 8.170
## .emp_wrk (.69.) 6.495 0.029 227.681 0.000 6.495 9.139
## .emp_mst (.70.) 6.262 0.033 192.151 0.000 6.262 7.241
## .emp_cpb (.71.) 6.460 0.030 212.607 0.000 6.460 8.127
## .emp_trs (.72.) 4.585 0.064 71.426 0.000 4.585 2.715
## .emp_trs (.73.) 4.786 0.065 73.121 0.000 4.786 2.797
## .emp_trs (.74.) 4.739 0.064 74.170 0.000 4.739 2.844
## .emp_cwr (.75.) 4.984 0.066 75.456 0.000 4.984 2.887
## .emp_wrk (.76.) 5.164 0.062 83.374 0.000 5.164 3.174
## .emp_cnt (.77.) 5.135 0.062 83.102 0.000 5.135 3.172
## .emp_nfn (.78.) 4.940 0.065 76.059 0.000 4.940 2.908
## .emp_pnn (.79.) 5.177 0.066 78.406 0.000 5.177 2.995
## .emp_wrk (.80.) 6.245 0.038 163.205 0.000 6.245 6.304
## .emp_dcd (.81.) 6.339 0.035 183.629 0.000 6.339 7.225
## .emp_ndp (.82.) 6.181 0.042 146.233 0.000 6.181 5.735
## .emp_prs (.83.) 6.347 0.033 190.950 0.000 6.347 7.432
## .emp_wrk (.84.) 6.471 0.030 215.515 0.000 6.471 8.214
## .emp_wrk (.85.) 6.222 0.037 167.880 0.000 6.222 6.423
## .emp_crw (.86.) 6.556 0.029 229.559 0.000 6.556 8.759
## .emp_wrk (.87.) 6.345 0.035 179.360 0.000 6.345 7.067
## .sts_myw (.88.) 4.251 0.034 123.303 0.000 4.251 4.670
## .sts_cwr (.89.) 3.803 0.044 86.265 0.000 3.803 3.400
## .sts_nst (.90.) 3.304 0.047 69.697 0.000 3.304 2.655
## Efficcy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PrsnlCn 0.000 0.000 0.000
## SlfDtrm 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Stsfctn 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.213 0.076 2.800 0.005 0.213 0.342
## .emp_wrk (.30.) 0.206 0.075 2.735 0.006 0.206 0.409
## .emp_mst (.31.) 0.522 0.068 7.657 0.000 0.522 0.698
## .emp_cpb (.32.) 0.193 0.079 2.448 0.014 0.193 0.306
## .emp_trs (.33.) 0.586 0.157 3.735 0.000 0.586 0.206
## .emp_trs (.34.) 0.417 0.174 2.393 0.017 0.417 0.142
## .emp_trs (.35.) 0.402 0.167 2.408 0.016 0.402 0.145
## .emp_cwr (.36.) 0.627 0.187 3.351 0.001 0.627 0.211
## .emp_wrk (.37.) 1.029 0.162 6.351 0.000 1.029 0.389
## .emp_cnt (.38.) 0.925 0.162 5.717 0.000 0.925 0.353
## .emp_nfn (.39.) 0.764 0.171 4.464 0.000 0.764 0.265
## .emp_pnn (.40.) 0.510 0.198 2.571 0.010 0.510 0.171
## .emp_wrk (.41.) 0.453 0.109 4.158 0.000 0.453 0.462
## .emp_dcd (.42.) 0.336 0.089 3.784 0.000 0.336 0.436
## .emp_ndp (.43.) 0.309 0.131 2.361 0.018 0.309 0.266
## .emp_prs (.44.) 0.282 0.069 4.108 0.000 0.282 0.386
## .emp_wrk (.45.) 0.302 0.077 3.920 0.000 0.302 0.486
## .emp_wrk (.46.) 0.174 0.107 1.617 0.106 0.174 0.185
## .emp_crw (.47.) 0.223 0.080 2.803 0.005 0.223 0.398
## .emp_wrk (.48.) 0.343 0.094 3.661 0.000 0.343 0.425
## .sts_myw (.49.) 0.572 0.068 8.422 0.000 0.572 0.691
## .sts_cwr (.50.) 0.373 0.094 3.958 0.000 0.373 0.298
## .sts_nst (.51.) 0.969 0.074 13.094 0.000 0.969 0.625
## Efficcy (.52.) 0.410 0.034 11.983 0.000 1.000 1.000
## Trust (.53.) 2.267 0.100 22.656 0.000 1.000 1.000
## PrsnlCn (.54.) 1.619 0.086 18.923 0.000 1.000 1.000
## SlfDtrm 0.528 0.042 12.640 0.000 1.000 1.000
## Meaning (.56.) 0.319 0.027 11.918 0.000 1.000 1.000
## .Stsfctn (.57.) 0.081 0.018 4.590 0.000 0.315 0.315
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.640 0.811
## emp_wrk 1.686 0.177 9.520 0.000 1.079 0.922
## emp_mst (.p3.) 0.743 0.046 16.019 0.000 0.475 0.550
## emp_cpb (.p4.) 1.034 0.059 17.458 0.000 0.662 0.833
## Trust =~
## emp_trs 1.000 1.506 0.891
## emp_trs (.p6.) 1.053 0.033 32.068 0.000 1.585 0.926
## emp_trs (.p7.) 1.024 0.032 31.889 0.000 1.541 0.925
## emp_cwr (.p8.) 1.019 0.033 31.245 0.000 1.534 0.889
## PersonalConsequence =~
## emp_wrk 1.000 1.272 0.782
## emp_cnt (.10.) 1.023 0.037 27.953 0.000 1.302 0.804
## emp_nfn (.11.) 1.145 0.040 28.781 0.000 1.457 0.857
## emp_pnn (.12.) 1.237 0.042 29.170 0.000 1.574 0.911
## SelfDetermination =~
## emp_wrk 1.000 0.937 0.812
## emp_dcd 1.147 0.100 11.422 0.000 1.075 0.880
## emp_ndp (.15.) 1.270 0.058 21.761 0.000 1.191 0.906
## emp_prs (.16.) 0.921 0.045 20.659 0.000 0.863 0.852
## Meaning =~
## emp_wrk 1.000 0.565 0.717
## emp_wrk (.18.) 1.549 0.083 18.679 0.000 0.875 0.903
## emp_crw (.19.) 1.028 0.059 17.318 0.000 0.580 0.776
## emp_wrk 1.774 0.174 10.196 0.000 1.002 0.863
## Satisfaction =~
## sts_myw 1.000 0.498 0.550
## sts_cwr (.22.) 1.851 0.081 22.834 0.000 0.922 0.834
## sts_nst (.23.) 1.505 0.069 21.935 0.000 0.750 0.606
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy -0.001 0.118 -0.010 0.992 -0.002 -0.002
## Trust 0.144 0.051 2.840 0.005 0.437 0.437
## PersonalCnsqnc 0.062 0.088 0.706 0.480 0.158 0.158
## SelfDetermintn 0.011 0.116 0.092 0.926 0.020 0.020
## Meaning 0.355 0.190 1.867 0.062 0.403 0.403
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust 0.204 0.041 4.971 0.000 0.212 0.212
## PersonalCnsqnc 0.131 0.038 3.477 0.001 0.161 0.161
## SelfDetermintn 0.202 0.036 5.591 0.000 0.337 0.337
## Meaning 0.232 0.031 7.614 0.000 0.643 0.643
## Trust ~~
## PersonalCnsqnc 1.381 0.079 17.422 0.000 0.721 0.721
## SelfDetermintn 0.775 0.064 12.116 0.000 0.549 0.549
## Meaning 0.331 0.043 7.700 0.000 0.389 0.389
## PersonalConsequence ~~
## SelfDetermintn 0.803 0.071 11.291 0.000 0.673 0.673
## Meaning 0.209 0.040 5.244 0.000 0.292 0.292
## SelfDetermination ~~
## Meaning 0.309 0.040 7.720 0.000 0.584 0.584
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.449 0.030 213.749 0.000 6.449 8.170
## .emp_wrk (.69.) 6.495 0.029 227.681 0.000 6.495 5.548
## .emp_mst (.70.) 6.262 0.033 192.151 0.000 6.262 7.241
## .emp_cpb (.71.) 6.460 0.030 212.607 0.000 6.460 8.127
## .emp_trs (.72.) 4.585 0.064 71.426 0.000 4.585 2.715
## .emp_trs (.73.) 4.786 0.065 73.121 0.000 4.786 2.797
## .emp_trs (.74.) 4.739 0.064 74.170 0.000 4.739 2.844
## .emp_cwr (.75.) 4.984 0.066 75.456 0.000 4.984 2.887
## .emp_wrk (.76.) 5.164 0.062 83.374 0.000 5.164 3.174
## .emp_cnt (.77.) 5.135 0.062 83.102 0.000 5.135 3.172
## .emp_nfn (.78.) 4.940 0.065 76.059 0.000 4.940 2.908
## .emp_pnn (.79.) 5.177 0.066 78.406 0.000 5.177 2.995
## .emp_wrk (.80.) 6.245 0.038 163.205 0.000 6.245 5.412
## .emp_dcd (.81.) 6.339 0.035 183.629 0.000 6.339 5.189
## .emp_ndp (.82.) 6.181 0.042 146.233 0.000 6.181 4.703
## .emp_prs (.83.) 6.347 0.033 190.950 0.000 6.347 6.266
## .emp_wrk (.84.) 6.471 0.030 215.515 0.000 6.471 8.214
## .emp_wrk (.85.) 6.222 0.037 167.880 0.000 6.222 6.423
## .emp_crw (.86.) 6.556 0.029 229.559 0.000 6.556 8.759
## .emp_wrk (.87.) 6.345 0.035 179.360 0.000 6.345 5.468
## .sts_myw (.88.) 4.251 0.034 123.303 0.000 4.251 4.694
## .sts_cwr (.89.) 3.803 0.044 86.265 0.000 3.803 3.439
## .sts_nst (.90.) 3.304 0.047 69.697 0.000 3.304 2.671
## Efficcy -0.007 0.040 -0.179 0.858 -0.011 -0.011
## Trust 0.024 0.082 0.297 0.767 0.016 0.016
## PrsnlCn -0.034 0.076 -0.449 0.654 -0.027 -0.027
## SlfDtrm -0.234 0.056 -4.146 0.000 -0.250 -0.250
## Meaning -0.046 0.038 -1.200 0.230 -0.081 -0.081
## .Stsfctn -0.022 0.051 -0.438 0.662 -0.045 -0.045
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.213 0.076 2.800 0.005 0.213 0.342
## .emp_wrk (.30.) 0.206 0.075 2.735 0.006 0.206 0.151
## .emp_mst (.31.) 0.522 0.068 7.657 0.000 0.522 0.698
## .emp_cpb (.32.) 0.193 0.079 2.448 0.014 0.193 0.306
## .emp_trs (.33.) 0.586 0.157 3.735 0.000 0.586 0.206
## .emp_trs (.34.) 0.417 0.174 2.393 0.017 0.417 0.142
## .emp_trs (.35.) 0.402 0.167 2.408 0.016 0.402 0.145
## .emp_cwr (.36.) 0.627 0.187 3.351 0.001 0.627 0.211
## .emp_wrk (.37.) 1.029 0.162 6.351 0.000 1.029 0.389
## .emp_cnt (.38.) 0.925 0.162 5.717 0.000 0.925 0.353
## .emp_nfn (.39.) 0.764 0.171 4.464 0.000 0.764 0.265
## .emp_pnn (.40.) 0.510 0.198 2.571 0.010 0.510 0.171
## .emp_wrk (.41.) 0.453 0.109 4.158 0.000 0.453 0.340
## .emp_dcd (.42.) 0.336 0.089 3.784 0.000 0.336 0.225
## .emp_ndp (.43.) 0.309 0.131 2.361 0.018 0.309 0.179
## .emp_prs (.44.) 0.282 0.069 4.108 0.000 0.282 0.275
## .emp_wrk (.45.) 0.302 0.077 3.920 0.000 0.302 0.486
## .emp_wrk (.46.) 0.174 0.107 1.617 0.106 0.174 0.185
## .emp_crw (.47.) 0.223 0.080 2.803 0.005 0.223 0.398
## .emp_wrk (.48.) 0.343 0.094 3.661 0.000 0.343 0.255
## .sts_myw (.49.) 0.572 0.068 8.422 0.000 0.572 0.698
## .sts_cwr (.50.) 0.373 0.094 3.958 0.000 0.373 0.305
## .sts_nst (.51.) 0.969 0.074 13.094 0.000 0.969 0.633
## Efficcy (.52.) 0.410 0.034 11.983 0.000 1.000 1.000
## Trust (.53.) 2.267 0.100 22.656 0.000 1.000 1.000
## PrsnlCn (.54.) 1.619 0.086 18.923 0.000 1.000 1.000
## SlfDtrm 0.879 0.104 8.483 0.000 1.000 1.000
## Meaning (.56.) 0.319 0.027 11.918 0.000 1.000 1.000
## .Stsfctn (.57.) 0.081 0.018 4.590 0.000 0.326 0.326summary(MG6, stand = T, fit = T)## lavaan 0.6-9 ended normally after 139 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 174
## Number of equality constraints 75
##
## Number of observations per group: Used Total
## 0 605 635
## 1 115 121
##
## Model Test User Model:
##
## Test statistic 680.754
## Degrees of freedom 499
## P-value (Chi-square) 0.000
## Test statistic for each group:
## 0 438.351
## 1 242.403
##
## Model Test Baseline Model:
##
## Test statistic 15860.597
## Degrees of freedom 506
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.988
## Tucker-Lewis Index (TLI) 0.988
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.032
## 90 Percent confidence interval - lower 0.026
## 90 Percent confidence interval - upper 0.038
## P-value RMSEA <= 0.05 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.077
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Unstructured
##
##
## Group 1 [0]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.640 0.811
## emp_wrk 0.855 0.051 16.640 0.000 0.547 0.770
## emp_mst (.p3.) 0.740 0.046 16.002 0.000 0.474 0.548
## emp_cpb (.p4.) 1.036 0.059 17.439 0.000 0.663 0.835
## Trust =~
## emp_trs 1.000 1.503 0.890
## emp_trs (.p6.) 1.054 0.033 31.994 0.000 1.585 0.926
## emp_trs (.p7.) 1.025 0.032 31.820 0.000 1.540 0.924
## emp_cwr (.p8.) 1.021 0.033 31.157 0.000 1.535 0.889
## PersonalConsequence =~
## emp_wrk 1.000 1.273 0.783
## emp_cnt (.10.) 1.022 0.037 27.927 0.000 1.301 0.804
## emp_nfn (.11.) 1.144 0.040 28.746 0.000 1.457 0.857
## emp_pnn (.12.) 1.236 0.042 29.133 0.000 1.574 0.911
## SelfDetermination =~
## emp_wrk 1.000 0.746 0.751
## emp_dcd 0.860 0.044 19.641 0.000 0.642 0.738
## emp_ndp (.15.) 1.250 0.058 21.645 0.000 0.933 0.860
## emp_prs (.16.) 0.884 0.043 20.563 0.000 0.660 0.772
## Meaning =~
## emp_wrk 1.000 0.566 0.719
## emp_wrk (.18.) 1.543 0.083 18.636 0.000 0.874 0.902
## emp_crw (.19.) 1.019 0.059 17.288 0.000 0.577 0.771
## emp_wrk 1.188 0.069 17.285 0.000 0.673 0.755
## Satisfaction =~
## sts_myw 1.000 0.502 0.553
## sts_cwr (.22.) 1.852 0.081 22.828 0.000 0.930 0.837
## sts_nst (.23.) 1.506 0.069 21.939 0.000 0.757 0.610
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy -0.083 0.053 -1.569 0.117 -0.106 -0.106
## Trust 0.184 0.032 5.802 0.000 0.550 0.550
## PersonalCnsqnc 0.047 0.046 1.021 0.307 0.120 0.120
## SelfDetermintn 0.143 0.051 2.809 0.005 0.213 0.213
## Meaning 0.188 0.052 3.636 0.000 0.212 0.212
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust (.58.) 0.173 0.016 10.589 0.000 0.180 0.180
## PrsnlCn (.59.) 0.165 0.015 10.681 0.000 0.203 0.203
## SlfDtrm (.60.) 0.237 0.015 15.292 0.000 0.496 0.496
## Meaning (.61.) 0.218 0.014 15.518 0.000 0.601 0.601
## Trust ~~
## PrsnlCn (.62.) 1.505 0.053 28.592 0.000 0.786 0.786
## SlfDtrm (.63.) 0.458 0.024 18.886 0.000 0.408 0.408
## Meaning (.64.) 0.242 0.016 14.898 0.000 0.284 0.284
## PersonalConsequence ~~
## SlfDtrm (.65.) 0.553 0.028 19.685 0.000 0.582 0.582
## Meaning (.66.) 0.221 0.016 13.749 0.000 0.306 0.306
## SelfDetermination ~~
## Meaning (.67.) 0.176 0.012 15.038 0.000 0.416 0.416
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.449 0.030 213.733 0.000 6.449 8.170
## .emp_wrk (.69.) 6.495 0.029 227.712 0.000 6.495 9.133
## .emp_mst (.70.) 6.262 0.033 192.153 0.000 6.262 7.241
## .emp_cpb (.71.) 6.460 0.030 212.562 0.000 6.460 8.127
## .emp_trs (.72.) 4.585 0.064 71.429 0.000 4.585 2.715
## .emp_trs (.73.) 4.786 0.065 73.119 0.000 4.786 2.797
## .emp_trs (.74.) 4.739 0.064 74.171 0.000 4.739 2.844
## .emp_cwr (.75.) 4.984 0.066 75.452 0.000 4.984 2.887
## .emp_wrk (.76.) 5.164 0.062 83.371 0.000 5.164 3.174
## .emp_cnt (.77.) 5.135 0.062 83.105 0.000 5.135 3.172
## .emp_nfn (.78.) 4.940 0.065 76.059 0.000 4.940 2.908
## .emp_pnn (.79.) 5.177 0.066 78.405 0.000 5.177 2.995
## .emp_wrk (.80.) 6.244 0.038 163.306 0.000 6.244 6.283
## .emp_dcd (.81.) 6.341 0.035 183.104 0.000 6.341 7.294
## .emp_ndp (.82.) 6.178 0.042 146.471 0.000 6.178 5.691
## .emp_prs (.83.) 6.346 0.033 191.134 0.000 6.346 7.419
## .emp_wrk (.84.) 6.471 0.030 215.617 0.000 6.471 8.214
## .emp_wrk (.85.) 6.221 0.037 168.129 0.000 6.221 6.422
## .emp_crw (.86.) 6.556 0.029 229.768 0.000 6.556 8.759
## .emp_wrk (.87.) 6.346 0.035 178.851 0.000 6.346 7.122
## .sts_myw (.88.) 4.251 0.034 123.305 0.000 4.251 4.682
## .sts_cwr (.89.) 3.803 0.044 86.266 0.000 3.803 3.422
## .sts_nst (.90.) 3.304 0.047 69.696 0.000 3.304 2.662
## Efficcy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PrsnlCn 0.000 0.000 0.000
## SlfDtrm 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Stsfctn 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.213 0.076 2.801 0.005 0.213 0.343
## .emp_wrk (.30.) 0.206 0.076 2.730 0.006 0.206 0.408
## .emp_mst (.31.) 0.524 0.068 7.687 0.000 0.524 0.700
## .emp_cpb (.32.) 0.192 0.079 2.425 0.015 0.192 0.303
## .emp_trs (.33.) 0.593 0.157 3.780 0.000 0.593 0.208
## .emp_trs (.34.) 0.416 0.174 2.388 0.017 0.416 0.142
## .emp_trs (.35.) 0.406 0.167 2.429 0.015 0.406 0.146
## .emp_cwr (.36.) 0.624 0.187 3.328 0.001 0.624 0.209
## .emp_wrk (.37.) 1.026 0.162 6.331 0.000 1.026 0.388
## .emp_cnt (.38.) 0.928 0.162 5.733 0.000 0.928 0.354
## .emp_nfn (.39.) 0.765 0.171 4.464 0.000 0.765 0.265
## .emp_pnn (.40.) 0.509 0.198 2.565 0.010 0.509 0.170
## .emp_wrk (.41.) 0.430 0.110 3.925 0.000 0.430 0.436
## .emp_dcd (.42.) 0.344 0.088 3.897 0.000 0.344 0.455
## .emp_ndp (.43.) 0.308 0.131 2.346 0.019 0.308 0.261
## .emp_prs (.44.) 0.296 0.068 4.335 0.000 0.296 0.404
## .emp_wrk (.45.) 0.300 0.077 3.894 0.000 0.300 0.483
## .emp_wrk (.46.) 0.175 0.107 1.632 0.103 0.175 0.187
## .emp_crw (.47.) 0.227 0.080 2.851 0.004 0.227 0.405
## .emp_wrk (.48.) 0.341 0.094 3.642 0.000 0.341 0.430
## .sts_myw (.49.) 0.572 0.068 8.418 0.000 0.572 0.694
## .sts_cwr (.50.) 0.369 0.094 3.921 0.000 0.369 0.299
## .sts_nst (.51.) 0.968 0.074 13.085 0.000 0.968 0.628
## Efficcy (.52.) 0.410 0.034 11.971 0.000 1.000 1.000
## Trust (.53.) 2.260 0.100 22.598 0.000 1.000 1.000
## PrsnlCn (.54.) 1.621 0.086 18.912 0.000 1.000 1.000
## SlfDtrm 0.557 0.044 12.725 0.000 1.000 1.000
## Meaning (.56.) 0.321 0.027 11.921 0.000 1.000 1.000
## .Stsfctn (.57.) 0.078 0.018 4.424 0.000 0.308 0.308
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.640 0.811
## emp_wrk 1.674 0.171 9.781 0.000 1.072 0.921
## emp_mst (.p3.) 0.740 0.046 16.002 0.000 0.474 0.548
## emp_cpb (.p4.) 1.036 0.059 17.439 0.000 0.663 0.835
## Trust =~
## emp_trs 1.000 1.503 0.890
## emp_trs (.p6.) 1.054 0.033 31.994 0.000 1.585 0.926
## emp_trs (.p7.) 1.025 0.032 31.820 0.000 1.540 0.924
## emp_cwr (.p8.) 1.021 0.033 31.157 0.000 1.535 0.889
## PersonalConsequence =~
## emp_wrk 1.000 1.273 0.783
## emp_cnt (.10.) 1.022 0.037 27.927 0.000 1.301 0.804
## emp_nfn (.11.) 1.144 0.040 28.746 0.000 1.457 0.857
## emp_pnn (.12.) 1.236 0.042 29.133 0.000 1.574 0.911
## SelfDetermination =~
## emp_wrk 1.000 0.907 0.810
## emp_dcd 1.331 0.119 11.213 0.000 1.207 0.899
## emp_ndp (.15.) 1.250 0.058 21.645 0.000 1.134 0.898
## emp_prs (.16.) 0.884 0.043 20.563 0.000 0.802 0.828
## Meaning =~
## emp_wrk 1.000 0.566 0.719
## emp_wrk (.18.) 1.543 0.083 18.636 0.000 0.874 0.902
## emp_crw (.19.) 1.019 0.059 17.288 0.000 0.577 0.771
## emp_wrk 1.952 0.180 10.853 0.000 1.105 0.884
## Satisfaction =~
## sts_myw 1.000 0.515 0.563
## sts_cwr (.22.) 1.852 0.081 22.828 0.000 0.953 0.843
## sts_nst (.23.) 1.506 0.069 21.939 0.000 0.775 0.619
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy -0.059 0.101 -0.582 0.561 -0.073 -0.073
## Trust 0.209 0.056 3.738 0.000 0.610 0.610
## PersonalCnsqnc -0.073 0.075 -0.968 0.333 -0.180 -0.180
## SelfDetermintn 0.210 0.063 3.358 0.001 0.370 0.370
## Meaning 0.329 0.113 2.902 0.004 0.362 0.362
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust (.58.) 0.173 0.016 10.589 0.000 0.180 0.180
## PrsnlCn (.59.) 0.165 0.015 10.681 0.000 0.203 0.203
## SlfDtrm (.60.) 0.237 0.015 15.292 0.000 0.408 0.408
## Meaning (.61.) 0.218 0.014 15.518 0.000 0.601 0.601
## Trust ~~
## PrsnlCn (.62.) 1.505 0.053 28.592 0.000 0.786 0.786
## SlfDtrm (.63.) 0.458 0.024 18.886 0.000 0.336 0.336
## Meaning (.64.) 0.242 0.016 14.898 0.000 0.284 0.284
## PersonalConsequence ~~
## SlfDtrm (.65.) 0.553 0.028 19.685 0.000 0.479 0.479
## Meaning (.66.) 0.221 0.016 13.749 0.000 0.306 0.306
## SelfDetermination ~~
## Meaning (.67.) 0.176 0.012 15.038 0.000 0.342 0.342
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.449 0.030 213.733 0.000 6.449 8.170
## .emp_wrk (.69.) 6.495 0.029 227.712 0.000 6.495 5.581
## .emp_mst (.70.) 6.262 0.033 192.153 0.000 6.262 7.241
## .emp_cpb (.71.) 6.460 0.030 212.562 0.000 6.460 8.127
## .emp_trs (.72.) 4.585 0.064 71.429 0.000 4.585 2.715
## .emp_trs (.73.) 4.786 0.065 73.119 0.000 4.786 2.797
## .emp_trs (.74.) 4.739 0.064 74.171 0.000 4.739 2.844
## .emp_cwr (.75.) 4.984 0.066 75.452 0.000 4.984 2.887
## .emp_wrk (.76.) 5.164 0.062 83.371 0.000 5.164 3.174
## .emp_cnt (.77.) 5.135 0.062 83.105 0.000 5.135 3.172
## .emp_nfn (.78.) 4.940 0.065 76.059 0.000 4.940 2.908
## .emp_pnn (.79.) 5.177 0.066 78.405 0.000 5.177 2.995
## .emp_wrk (.80.) 6.244 0.038 163.306 0.000 6.244 5.578
## .emp_dcd (.81.) 6.341 0.035 183.104 0.000 6.341 4.725
## .emp_ndp (.82.) 6.178 0.042 146.471 0.000 6.178 4.894
## .emp_prs (.83.) 6.346 0.033 191.134 0.000 6.346 6.547
## .emp_wrk (.84.) 6.471 0.030 215.617 0.000 6.471 8.214
## .emp_wrk (.85.) 6.221 0.037 168.129 0.000 6.221 6.422
## .emp_crw (.86.) 6.556 0.029 229.768 0.000 6.556 8.759
## .emp_wrk (.87.) 6.346 0.035 178.851 0.000 6.346 5.076
## .sts_myw (.88.) 4.251 0.034 123.305 0.000 4.251 4.647
## .sts_cwr (.89.) 3.803 0.044 86.266 0.000 3.803 3.364
## .sts_nst (.90.) 3.304 0.047 69.696 0.000 3.304 2.637
## Efficcy -0.007 0.040 -0.172 0.863 -0.011 -0.011
## Trust 0.024 0.082 0.297 0.767 0.016 0.016
## PrsnlCn -0.034 0.076 -0.449 0.653 -0.027 -0.027
## SlfDtrm -0.223 0.055 -4.084 0.000 -0.246 -0.246
## Meaning -0.042 0.037 -1.157 0.247 -0.075 -0.075
## .Stsfctn 0.013 0.051 0.263 0.792 0.026 0.026
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.213 0.076 2.801 0.005 0.213 0.343
## .emp_wrk (.30.) 0.206 0.076 2.730 0.006 0.206 0.152
## .emp_mst (.31.) 0.524 0.068 7.687 0.000 0.524 0.700
## .emp_cpb (.32.) 0.192 0.079 2.425 0.015 0.192 0.303
## .emp_trs (.33.) 0.593 0.157 3.780 0.000 0.593 0.208
## .emp_trs (.34.) 0.416 0.174 2.388 0.017 0.416 0.142
## .emp_trs (.35.) 0.406 0.167 2.429 0.015 0.406 0.146
## .emp_cwr (.36.) 0.624 0.187 3.328 0.001 0.624 0.209
## .emp_wrk (.37.) 1.026 0.162 6.331 0.000 1.026 0.388
## .emp_cnt (.38.) 0.928 0.162 5.733 0.000 0.928 0.354
## .emp_nfn (.39.) 0.765 0.171 4.464 0.000 0.765 0.265
## .emp_pnn (.40.) 0.509 0.198 2.565 0.010 0.509 0.170
## .emp_wrk (.41.) 0.430 0.110 3.925 0.000 0.430 0.343
## .emp_dcd (.42.) 0.344 0.088 3.897 0.000 0.344 0.191
## .emp_ndp (.43.) 0.308 0.131 2.346 0.019 0.308 0.193
## .emp_prs (.44.) 0.296 0.068 4.335 0.000 0.296 0.315
## .emp_wrk (.45.) 0.300 0.077 3.894 0.000 0.300 0.483
## .emp_wrk (.46.) 0.175 0.107 1.632 0.103 0.175 0.187
## .emp_crw (.47.) 0.227 0.080 2.851 0.004 0.227 0.405
## .emp_wrk (.48.) 0.341 0.094 3.642 0.000 0.341 0.218
## .sts_myw (.49.) 0.572 0.068 8.418 0.000 0.572 0.683
## .sts_cwr (.50.) 0.369 0.094 3.921 0.000 0.369 0.289
## .sts_nst (.51.) 0.968 0.074 13.085 0.000 0.968 0.617
## Efficcy (.52.) 0.410 0.034 11.971 0.000 1.000 1.000
## Trust (.53.) 2.260 0.100 22.598 0.000 1.000 1.000
## PrsnlCn (.54.) 1.621 0.086 18.912 0.000 1.000 1.000
## SlfDtrm 0.823 0.101 8.110 0.000 1.000 1.000
## Meaning (.56.) 0.321 0.027 11.921 0.000 1.000 1.000
## .Stsfctn (.57.) 0.078 0.018 4.424 0.000 0.293 0.293summary(PMG6, stand = T, fit = T)## lavaan 0.6-9 ended normally after 139 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 174
## Number of equality constraints 73
##
## Number of observations per group: Used Total
## 0 605 635
## 1 115 121
##
## Model Test User Model:
##
## Test statistic 629.955
## Degrees of freedom 497
## P-value (Chi-square) 0.000
## Test statistic for each group:
## 0 434.511
## 1 195.445
##
## Model Test Baseline Model:
##
## Test statistic 15860.597
## Degrees of freedom 506
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.991
## Tucker-Lewis Index (TLI) 0.991
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.027
## 90 Percent confidence interval - lower 0.020
## 90 Percent confidence interval - upper 0.034
## P-value RMSEA <= 0.05 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.076
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Unstructured
##
##
## Group 1 [0]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.640 0.811
## emp_wrk 0.854 0.051 16.661 0.000 0.547 0.769
## emp_mst (.p3.) 0.741 0.046 16.023 0.000 0.475 0.549
## emp_cpb (.p4.) 1.035 0.059 17.454 0.000 0.663 0.834
## Trust =~
## emp_trs 1.000 1.505 0.891
## emp_trs (.p6.) 1.052 0.033 32.057 0.000 1.584 0.926
## emp_trs (.p7.) 1.023 0.032 31.882 0.000 1.540 0.924
## emp_cwr (.p8.) 1.018 0.033 31.230 0.000 1.533 0.888
## PersonalConsequence =~
## emp_wrk 1.000 1.273 0.783
## emp_cnt (.10.) 1.021 0.037 27.953 0.000 1.300 0.803
## emp_nfn (.11.) 1.143 0.040 28.778 0.000 1.456 0.857
## emp_pnn (.12.) 1.237 0.042 29.171 0.000 1.576 0.912
## SelfDetermination =~
## emp_wrk 1.000 0.730 0.737
## emp_dcd 0.897 0.046 19.429 0.000 0.655 0.747
## emp_ndp (.15.) 1.263 0.058 21.739 0.000 0.922 0.855
## emp_prs (.16.) 0.916 0.044 20.670 0.000 0.669 0.783
## Meaning =~
## emp_wrk 1.000 0.567 0.719
## emp_wrk (.18.) 1.540 0.083 18.638 0.000 0.872 0.901
## emp_crw (.19.) 1.019 0.059 17.290 0.000 0.577 0.771
## emp_wrk 1.187 0.069 17.287 0.000 0.673 0.755
## Satisfaction =~
## sts_myw 1.000 0.504 0.555
## sts_cwr (.22.) 1.851 0.081 22.837 0.000 0.933 0.837
## sts_nst (.23.) 1.505 0.069 21.942 0.000 0.759 0.611
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy -0.092 0.054 -1.724 0.085 -0.117 -0.117
## Trust 0.187 0.032 5.776 0.000 0.557 0.557
## PersonalCnsqnc 0.041 0.046 0.889 0.374 0.104 0.104
## SelfDetermintn 0.167 0.052 3.229 0.001 0.242 0.242
## Meaning 0.184 0.052 3.546 0.000 0.207 0.207
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust (.58.) 0.173 0.016 10.588 0.000 0.180 0.180
## PrsnlCn (.59.) 0.165 0.015 10.679 0.000 0.203 0.203
## SlfDtrm (.60.) 0.235 0.015 15.293 0.000 0.502 0.502
## Meaning (.61.) 0.218 0.014 15.529 0.000 0.602 0.602
## Trust ~~
## PrsnlCn (.62.) 1.508 0.053 28.637 0.000 0.786 0.786
## SlfDtrm 0.416 0.024 17.419 0.000 0.378 0.378
## Meaning (.64.) 0.242 0.016 14.898 0.000 0.284 0.284
## PersonalConsequence ~~
## SlfDtrm 0.519 0.028 18.781 0.000 0.558 0.558
## Meaning (.66.) 0.221 0.016 13.762 0.000 0.307 0.307
## SelfDetermination ~~
## Meaning (.67.) 0.173 0.012 14.988 0.000 0.418 0.418
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.449 0.030 213.739 0.000 6.449 8.170
## .emp_wrk (.69.) 6.495 0.029 227.698 0.000 6.495 9.136
## .emp_mst (.70.) 6.262 0.033 192.151 0.000 6.262 7.241
## .emp_cpb (.71.) 6.460 0.030 212.585 0.000 6.460 8.127
## .emp_trs (.72.) 4.585 0.064 71.425 0.000 4.585 2.715
## .emp_trs (.73.) 4.786 0.065 73.120 0.000 4.786 2.797
## .emp_trs (.74.) 4.739 0.064 74.171 0.000 4.739 2.844
## .emp_cwr (.75.) 4.984 0.066 75.456 0.000 4.984 2.887
## .emp_wrk (.76.) 5.164 0.062 83.371 0.000 5.164 3.174
## .emp_cnt (.77.) 5.135 0.062 83.108 0.000 5.135 3.172
## .emp_nfn (.78.) 4.940 0.065 76.061 0.000 4.940 2.908
## .emp_pnn (.79.) 5.177 0.066 78.402 0.000 5.177 2.995
## .emp_wrk (.80.) 6.245 0.038 163.189 0.000 6.245 6.304
## .emp_dcd (.81.) 6.339 0.035 183.627 0.000 6.339 7.224
## .emp_ndp (.82.) 6.181 0.042 146.243 0.000 6.181 5.732
## .emp_prs (.83.) 6.347 0.033 190.953 0.000 6.347 7.432
## .emp_wrk (.84.) 6.471 0.030 215.609 0.000 6.471 8.214
## .emp_wrk (.85.) 6.221 0.037 168.125 0.000 6.221 6.422
## .emp_crw (.86.) 6.556 0.029 229.759 0.000 6.556 8.759
## .emp_wrk (.87.) 6.346 0.035 178.870 0.000 6.346 7.120
## .sts_myw (.88.) 4.251 0.034 123.303 0.000 4.251 4.677
## .sts_cwr (.89.) 3.803 0.044 86.266 0.000 3.803 3.413
## .sts_nst (.90.) 3.304 0.047 69.697 0.000 3.304 2.659
## Efficcy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PrsnlCn 0.000 0.000 0.000
## SlfDtrm 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Stsfctn 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.213 0.076 2.796 0.005 0.213 0.342
## .emp_wrk (.30.) 0.207 0.075 2.736 0.006 0.207 0.409
## .emp_mst (.31.) 0.523 0.068 7.671 0.000 0.523 0.699
## .emp_cpb (.32.) 0.193 0.079 2.439 0.015 0.193 0.305
## .emp_trs (.33.) 0.587 0.157 3.739 0.000 0.587 0.206
## .emp_trs (.34.) 0.417 0.174 2.398 0.016 0.417 0.143
## .emp_trs (.35.) 0.406 0.167 2.431 0.015 0.406 0.146
## .emp_cwr (.36.) 0.629 0.187 3.362 0.001 0.629 0.211
## .emp_wrk (.37.) 1.026 0.162 6.330 0.000 1.026 0.387
## .emp_cnt (.38.) 0.931 0.162 5.753 0.000 0.931 0.355
## .emp_nfn (.39.) 0.767 0.171 4.480 0.000 0.767 0.266
## .emp_pnn (.40.) 0.504 0.198 2.542 0.011 0.504 0.169
## .emp_wrk (.41.) 0.448 0.109 4.108 0.000 0.448 0.457
## .emp_dcd (.42.) 0.340 0.089 3.841 0.000 0.340 0.442
## .emp_ndp (.43.) 0.312 0.131 2.388 0.017 0.312 0.269
## .emp_prs (.44.) 0.282 0.069 4.118 0.000 0.282 0.387
## .emp_wrk (.45.) 0.300 0.077 3.890 0.000 0.300 0.483
## .emp_wrk (.46.) 0.177 0.107 1.652 0.099 0.177 0.189
## .emp_crw (.47.) 0.227 0.080 2.852 0.004 0.227 0.405
## .emp_wrk (.48.) 0.342 0.094 3.654 0.000 0.342 0.430
## .sts_myw (.49.) 0.572 0.068 8.418 0.000 0.572 0.692
## .sts_cwr (.50.) 0.371 0.094 3.938 0.000 0.371 0.299
## .sts_nst (.51.) 0.969 0.074 13.091 0.000 0.969 0.627
## Efficcy (.52.) 0.410 0.034 11.981 0.000 1.000 1.000
## Trust (.53.) 2.266 0.100 22.646 0.000 1.000 1.000
## PrsnlCn (.54.) 1.622 0.086 18.929 0.000 1.000 1.000
## SlfDtrm 0.533 0.042 12.665 0.000 1.000 1.000
## Meaning (.56.) 0.321 0.027 11.920 0.000 1.000 1.000
## .Stsfctn (.57.) 0.078 0.018 4.413 0.000 0.307 0.307
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.640 0.811
## emp_wrk 1.679 0.172 9.783 0.000 1.075 0.921
## emp_mst (.p3.) 0.741 0.046 16.023 0.000 0.475 0.549
## emp_cpb (.p4.) 1.035 0.059 17.454 0.000 0.663 0.834
## Trust =~
## emp_trs 1.000 1.505 0.891
## emp_trs (.p6.) 1.052 0.033 32.057 0.000 1.584 0.926
## emp_trs (.p7.) 1.023 0.032 31.882 0.000 1.540 0.924
## emp_cwr (.p8.) 1.018 0.033 31.230 0.000 1.533 0.888
## PersonalConsequence =~
## emp_wrk 1.000 1.273 0.783
## emp_cnt (.10.) 1.021 0.037 27.953 0.000 1.300 0.803
## emp_nfn (.11.) 1.143 0.040 28.778 0.000 1.456 0.857
## emp_pnn (.12.) 1.237 0.042 29.171 0.000 1.576 0.912
## SelfDetermination =~
## emp_wrk 1.000 0.939 0.814
## emp_dcd 1.142 0.101 11.327 0.000 1.072 0.878
## emp_ndp (.15.) 1.263 0.058 21.739 0.000 1.185 0.905
## emp_prs (.16.) 0.916 0.044 20.670 0.000 0.860 0.851
## Meaning =~
## emp_wrk 1.000 0.567 0.719
## emp_wrk (.18.) 1.540 0.083 18.638 0.000 0.872 0.901
## emp_crw (.19.) 1.019 0.059 17.290 0.000 0.577 0.771
## emp_wrk 1.943 0.179 10.828 0.000 1.101 0.883
## Satisfaction =~
## sts_myw 1.000 0.508 0.558
## sts_cwr (.22.) 1.851 0.081 22.837 0.000 0.940 0.839
## sts_nst (.23.) 1.505 0.069 21.942 0.000 0.765 0.614
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficacy -0.051 0.106 -0.476 0.634 -0.064 -0.064
## Trust 0.199 0.056 3.555 0.000 0.589 0.589
## PersonalCnsqnc -0.085 0.090 -0.940 0.347 -0.212 -0.212
## SelfDetermintn 0.168 0.090 1.871 0.061 0.311 0.311
## Meaning 0.375 0.114 3.301 0.001 0.419 0.419
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust (.58.) 0.173 0.016 10.588 0.000 0.180 0.180
## PrsnlCn (.59.) 0.165 0.015 10.679 0.000 0.203 0.203
## SlfDtrm (.60.) 0.235 0.015 15.293 0.000 0.390 0.390
## Meaning (.61.) 0.218 0.014 15.529 0.000 0.602 0.602
## Trust ~~
## PrsnlCn (.62.) 1.508 0.053 28.637 0.000 0.786 0.786
## SlfDtrm 0.774 0.064 12.102 0.000 0.548 0.548
## Meaning (.64.) 0.242 0.016 14.898 0.000 0.284 0.284
## PersonalConsequence ~~
## SlfDtrm 0.809 0.071 11.326 0.000 0.677 0.677
## Meaning (.66.) 0.221 0.016 13.762 0.000 0.307 0.307
## SelfDetermination ~~
## Meaning (.67.) 0.173 0.012 14.988 0.000 0.325 0.325
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.449 0.030 213.739 0.000 6.449 8.170
## .emp_wrk (.69.) 6.495 0.029 227.698 0.000 6.495 5.565
## .emp_mst (.70.) 6.262 0.033 192.151 0.000 6.262 7.241
## .emp_cpb (.71.) 6.460 0.030 212.585 0.000 6.460 8.127
## .emp_trs (.72.) 4.585 0.064 71.425 0.000 4.585 2.715
## .emp_trs (.73.) 4.786 0.065 73.120 0.000 4.786 2.797
## .emp_trs (.74.) 4.739 0.064 74.171 0.000 4.739 2.844
## .emp_cwr (.75.) 4.984 0.066 75.456 0.000 4.984 2.887
## .emp_wrk (.76.) 5.164 0.062 83.371 0.000 5.164 3.174
## .emp_cnt (.77.) 5.135 0.062 83.108 0.000 5.135 3.172
## .emp_nfn (.78.) 4.940 0.065 76.061 0.000 4.940 2.908
## .emp_pnn (.79.) 5.177 0.066 78.402 0.000 5.177 2.995
## .emp_wrk (.80.) 6.245 0.038 163.189 0.000 6.245 5.416
## .emp_dcd (.81.) 6.339 0.035 183.627 0.000 6.339 5.192
## .emp_ndp (.82.) 6.181 0.042 146.243 0.000 6.181 4.716
## .emp_prs (.83.) 6.347 0.033 190.953 0.000 6.347 6.281
## .emp_wrk (.84.) 6.471 0.030 215.609 0.000 6.471 8.214
## .emp_wrk (.85.) 6.221 0.037 168.125 0.000 6.221 6.422
## .emp_crw (.86.) 6.556 0.029 229.759 0.000 6.556 8.759
## .emp_wrk (.87.) 6.346 0.035 178.870 0.000 6.346 5.091
## .sts_myw (.88.) 4.251 0.034 123.303 0.000 4.251 4.666
## .sts_cwr (.89.) 3.803 0.044 86.266 0.000 3.803 3.395
## .sts_nst (.90.) 3.304 0.047 69.697 0.000 3.304 2.651
## Efficcy -0.007 0.040 -0.175 0.861 -0.011 -0.011
## Trust 0.024 0.082 0.297 0.767 0.016 0.016
## PrsnlCn -0.034 0.076 -0.449 0.653 -0.027 -0.027
## SlfDtrm -0.235 0.057 -4.145 0.000 -0.250 -0.250
## Meaning -0.043 0.037 -1.159 0.246 -0.075 -0.075
## .Stsfctn 0.008 0.053 0.151 0.880 0.016 0.016
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.213 0.076 2.796 0.005 0.213 0.342
## .emp_wrk (.30.) 0.207 0.075 2.736 0.006 0.207 0.152
## .emp_mst (.31.) 0.523 0.068 7.671 0.000 0.523 0.699
## .emp_cpb (.32.) 0.193 0.079 2.439 0.015 0.193 0.305
## .emp_trs (.33.) 0.587 0.157 3.739 0.000 0.587 0.206
## .emp_trs (.34.) 0.417 0.174 2.398 0.016 0.417 0.143
## .emp_trs (.35.) 0.406 0.167 2.431 0.015 0.406 0.146
## .emp_cwr (.36.) 0.629 0.187 3.362 0.001 0.629 0.211
## .emp_wrk (.37.) 1.026 0.162 6.330 0.000 1.026 0.387
## .emp_cnt (.38.) 0.931 0.162 5.753 0.000 0.931 0.355
## .emp_nfn (.39.) 0.767 0.171 4.480 0.000 0.767 0.266
## .emp_pnn (.40.) 0.504 0.198 2.542 0.011 0.504 0.169
## .emp_wrk (.41.) 0.448 0.109 4.108 0.000 0.448 0.337
## .emp_dcd (.42.) 0.340 0.089 3.841 0.000 0.340 0.228
## .emp_ndp (.43.) 0.312 0.131 2.388 0.017 0.312 0.182
## .emp_prs (.44.) 0.282 0.069 4.118 0.000 0.282 0.276
## .emp_wrk (.45.) 0.300 0.077 3.890 0.000 0.300 0.483
## .emp_wrk (.46.) 0.177 0.107 1.652 0.099 0.177 0.189
## .emp_crw (.47.) 0.227 0.080 2.852 0.004 0.227 0.405
## .emp_wrk (.48.) 0.342 0.094 3.654 0.000 0.342 0.220
## .sts_myw (.49.) 0.572 0.068 8.418 0.000 0.572 0.689
## .sts_cwr (.50.) 0.371 0.094 3.938 0.000 0.371 0.296
## .sts_nst (.51.) 0.969 0.074 13.091 0.000 0.969 0.624
## Efficcy (.52.) 0.410 0.034 11.981 0.000 1.000 1.000
## Trust (.53.) 2.266 0.100 22.646 0.000 1.000 1.000
## PrsnlCn (.54.) 1.622 0.086 18.929 0.000 1.000 1.000
## SlfDtrm 0.881 0.104 8.452 0.000 1.000 1.000
## Meaning (.56.) 0.321 0.027 11.920 0.000 1.000 1.000
## .Stsfctn (.57.) 0.078 0.018 4.413 0.000 0.302 0.302#summary(MG7, stand = T, fit = T) #Already presented above
summary(MG8, stand = T, fit = T)## lavaan 0.6-9 ended normally after 130 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of model parameters 168
## Number of equality constraints 78
##
## Number of observations per group: Used Total
## 0 605 635
## 1 115 121
##
## Model Test User Model:
##
## Test statistic 673.031
## Degrees of freedom 508
## P-value (Chi-square) 0.000
## Test statistic for each group:
## 0 443.564
## 1 229.467
##
## Model Test Baseline Model:
##
## Test statistic 15860.597
## Degrees of freedom 506
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.989
## Tucker-Lewis Index (TLI) 0.989
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.030
## 90 Percent confidence interval - lower 0.024
## 90 Percent confidence interval - upper 0.036
## P-value RMSEA <= 0.05 1.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.077
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Unstructured
##
##
## Group 1 [0]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.640 0.811
## emp_wrk 0.855 0.051 16.665 0.000 0.547 0.771
## emp_mst (.p3.) 0.738 0.046 15.997 0.000 0.473 0.547
## emp_cpb (.p4.) 1.037 0.059 17.446 0.000 0.664 0.835
## Trust =~
## emp_trs 1.000 1.508 0.893
## emp_trs (.p6.) 1.052 0.033 32.036 0.000 1.587 0.927
## emp_trs (.p7.) 1.022 0.032 31.860 0.000 1.541 0.925
## emp_cwr (.p8.) 1.018 0.033 31.209 0.000 1.535 0.889
## PersonalConsequence =~
## emp_wrk 1.000 1.271 0.781
## emp_cnt (.10.) 1.020 0.036 27.953 0.000 1.296 0.801
## emp_nfn (.11.) 1.144 0.040 28.781 0.000 1.453 0.855
## emp_pnn (.12.) 1.239 0.042 29.176 0.000 1.574 0.910
## SelfDetermination =~
## emp_wrk 1.000 0.738 0.744
## emp_dcd 0.895 0.046 19.426 0.000 0.660 0.753
## emp_ndp (.15.) 1.264 0.058 21.681 0.000 0.932 0.864
## emp_prs (.16.) 0.910 0.044 20.564 0.000 0.671 0.786
## Meaning =~
## emp_wrk 1.000 0.565 0.717
## emp_wrk (.18.) 1.545 0.083 18.637 0.000 0.873 0.901
## emp_crw (.19.) 1.018 0.059 17.273 0.000 0.575 0.768
## emp_wrk 1.186 0.069 17.297 0.000 0.670 0.754
## Satisfaction =~
## sts_myw 1.000 0.502 0.553
## sts_cwr (.22.) 1.847 0.081 22.763 0.000 0.927 0.835
## sts_nst (.23.) 1.511 0.069 21.892 0.000 0.758 0.611
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficcy (.24.) -0.034 0.045 -0.752 0.452 -0.043 -0.043
## Trust (.25.) 0.164 0.027 6.074 0.000 0.492 0.492
## PrsnlCn (.26.) 0.075 0.038 1.992 0.046 0.190 0.190
## SlfDtrm (.27.) 0.087 0.036 2.431 0.015 0.128 0.128
## Meaning (.28.) 0.202 0.048 4.173 0.000 0.227 0.227
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust (.58.) 0.171 0.016 10.500 0.000 0.177 0.177
## PrsnlCn (.59.) 0.165 0.015 10.662 0.000 0.203 0.203
## SlfDtrm (.60.) 0.234 0.015 15.256 0.000 0.495 0.495
## Meaning (.61.) 0.217 0.014 15.509 0.000 0.600 0.600
## Trust ~~
## PrsnlCn (.62.) 1.502 0.052 28.607 0.000 0.784 0.784
## SlfDtrm 0.427 0.024 17.854 0.000 0.383 0.383
## Meaning (.64.) 0.242 0.016 14.910 0.000 0.285 0.285
## PersonalConsequence ~~
## SlfDtrm 0.525 0.028 18.887 0.000 0.560 0.560
## Meaning (.66.) 0.219 0.016 13.677 0.000 0.305 0.305
## SelfDetermination ~~
## Meaning (.67.) 0.175 0.012 15.109 0.000 0.420 0.420
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.448 0.030 216.465 0.000 6.448 8.169
## .emp_wrk (.69.) 6.494 0.028 232.071 0.000 6.494 9.148
## .emp_mst (.70.) 6.261 0.032 194.286 0.000 6.261 7.240
## .emp_cpb (.71.) 6.458 0.030 217.142 0.000 6.458 8.125
## .emp_trs (.72.) 4.589 0.063 72.943 0.000 4.589 2.717
## .emp_trs (.73.) 4.791 0.064 75.098 0.000 4.791 2.800
## .emp_trs (.74.) 4.743 0.062 76.357 0.000 4.743 2.846
## .emp_cwr (.75.) 4.988 0.064 77.534 0.000 4.988 2.890
## .emp_wrk (.76.) 5.159 0.061 85.088 0.000 5.159 3.170
## .emp_cnt (.77.) 5.129 0.060 85.096 0.000 5.129 3.168
## .emp_nfn (.78.) 4.934 0.063 77.928 0.000 4.934 2.904
## .emp_pnn (.79.) 5.171 0.064 80.233 0.000 5.171 2.991
## .emp_wrk (.80.) 6.220 0.038 164.724 0.000 6.220 6.274
## .emp_dcd (.81.) 6.316 0.034 185.469 0.000 6.316 7.205
## .emp_ndp (.82.) 6.144 0.041 148.657 0.000 6.144 5.691
## .emp_prs (.83.) 6.329 0.033 192.134 0.000 6.329 7.408
## .emp_wrk (.84.) 6.467 0.030 216.994 0.000 6.467 8.209
## .emp_wrk (.85.) 6.213 0.036 171.227 0.000 6.213 6.413
## .emp_crw (.86.) 6.551 0.028 232.057 0.000 6.551 8.752
## .emp_wrk (.87.) 6.336 0.035 183.390 0.000 6.336 7.137
## .sts_myw (.88.) 4.245 0.034 125.433 0.000 4.245 4.677
## .sts_cwr (.89.) 3.789 0.042 90.892 0.000 3.789 3.413
## .sts_nst (.90.) 3.295 0.046 71.131 0.000 3.295 2.655
## Efficcy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PrsnlCn 0.000 0.000 0.000
## SlfDtrm 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Stsfctn 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.213 0.076 2.803 0.005 0.213 0.343
## .emp_wrk (.30.) 0.205 0.076 2.711 0.007 0.205 0.406
## .emp_mst (.31.) 0.525 0.068 7.702 0.000 0.525 0.701
## .emp_cpb (.32.) 0.192 0.079 2.423 0.015 0.192 0.303
## .emp_trs (.33.) 0.580 0.157 3.689 0.000 0.580 0.203
## .emp_trs (.34.) 0.411 0.174 2.357 0.018 0.411 0.140
## .emp_trs (.35.) 0.402 0.167 2.407 0.016 0.402 0.145
## .emp_cwr (.36.) 0.625 0.187 3.335 0.001 0.625 0.210
## .emp_wrk (.37.) 1.033 0.162 6.384 0.000 1.033 0.390
## .emp_cnt (.38.) 0.941 0.162 5.828 0.000 0.941 0.359
## .emp_nfn (.39.) 0.776 0.171 4.535 0.000 0.776 0.269
## .emp_pnn (.40.) 0.511 0.198 2.576 0.010 0.511 0.171
## .emp_wrk (.41.) 0.438 0.109 4.010 0.000 0.438 0.446
## .emp_dcd (.42.) 0.332 0.089 3.744 0.000 0.332 0.433
## .emp_ndp (.43.) 0.296 0.131 2.259 0.024 0.296 0.254
## .emp_prs (.44.) 0.279 0.069 4.073 0.000 0.279 0.383
## .emp_wrk (.45.) 0.302 0.077 3.920 0.000 0.302 0.486
## .emp_wrk (.46.) 0.177 0.107 1.648 0.099 0.177 0.189
## .emp_crw (.47.) 0.230 0.079 2.891 0.004 0.230 0.410
## .emp_wrk (.48.) 0.340 0.094 3.629 0.000 0.340 0.431
## .sts_myw (.49.) 0.572 0.068 8.414 0.000 0.572 0.694
## .sts_cwr (.50.) 0.373 0.094 3.972 0.000 0.373 0.303
## .sts_nst (.51.) 0.965 0.074 13.007 0.000 0.965 0.626
## Efficcy (.52.) 0.410 0.034 11.976 0.000 1.000 1.000
## Trust (.53.) 2.273 0.100 22.657 0.000 1.000 1.000
## PrsnlCn (.54.) 1.614 0.085 18.914 0.000 1.000 1.000
## SlfDtrm 0.544 0.043 12.765 0.000 1.000 1.000
## Meaning (.56.) 0.319 0.027 11.907 0.000 1.000 1.000
## .Stsfctn (.57.) 0.086 0.017 5.024 0.000 0.343 0.343
##
##
## Group 2 [1]:
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy =~
## emp_wrk 1.000 0.640 0.811
## emp_wrk 1.708 0.173 9.895 0.000 1.093 0.924
## emp_mst (.p3.) 0.738 0.046 15.997 0.000 0.473 0.547
## emp_cpb (.p4.) 1.037 0.059 17.446 0.000 0.664 0.835
## Trust =~
## emp_trs 1.000 1.508 0.893
## emp_trs (.p6.) 1.052 0.033 32.036 0.000 1.587 0.927
## emp_trs (.p7.) 1.022 0.032 31.860 0.000 1.541 0.925
## emp_cwr (.p8.) 1.018 0.033 31.209 0.000 1.535 0.889
## PersonalConsequence =~
## emp_wrk 1.000 1.271 0.781
## emp_cnt (.10.) 1.020 0.036 27.953 0.000 1.296 0.801
## emp_nfn (.11.) 1.144 0.040 28.781 0.000 1.453 0.855
## emp_pnn (.12.) 1.239 0.042 29.176 0.000 1.574 0.910
## SelfDetermination =~
## emp_wrk 1.000 0.936 0.816
## emp_dcd 1.166 0.104 11.226 0.000 1.091 0.884
## emp_ndp (.15.) 1.264 0.058 21.681 0.000 1.183 0.908
## emp_prs (.16.) 0.910 0.044 20.564 0.000 0.852 0.850
## Meaning =~
## emp_wrk 1.000 0.565 0.717
## emp_wrk (.18.) 1.545 0.083 18.637 0.000 0.873 0.901
## emp_crw (.19.) 1.018 0.059 17.273 0.000 0.575 0.768
## emp_wrk 2.034 0.182 11.185 0.000 1.149 0.892
## Satisfaction =~
## sts_myw 1.000 0.517 0.564
## sts_cwr (.22.) 1.847 0.081 22.763 0.000 0.955 0.842
## sts_nst (.23.) 1.511 0.069 21.892 0.000 0.781 0.622
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfaction ~
## Efficcy (.24.) -0.034 0.045 -0.752 0.452 -0.042 -0.042
## Trust (.25.) 0.164 0.027 6.074 0.000 0.478 0.478
## PrsnlCn (.26.) 0.075 0.038 1.992 0.046 0.185 0.185
## SlfDtrm (.27.) 0.087 0.036 2.431 0.015 0.158 0.158
## Meaning (.28.) 0.202 0.048 4.173 0.000 0.221 0.221
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Efficacy ~~
## Trust (.58.) 0.171 0.016 10.500 0.000 0.177 0.177
## PrsnlCn (.59.) 0.165 0.015 10.662 0.000 0.203 0.203
## SlfDtrm (.60.) 0.234 0.015 15.256 0.000 0.390 0.390
## Meaning (.61.) 0.217 0.014 15.509 0.000 0.600 0.600
## Trust ~~
## PrsnlCn (.62.) 1.502 0.052 28.607 0.000 0.784 0.784
## SlfDtrm 0.757 0.062 12.155 0.000 0.537 0.537
## Meaning (.64.) 0.242 0.016 14.910 0.000 0.285 0.285
## PersonalConsequence ~~
## SlfDtrm 0.773 0.070 11.080 0.000 0.650 0.650
## Meaning (.66.) 0.219 0.016 13.677 0.000 0.305 0.305
## SelfDetermination ~~
## Meaning (.67.) 0.175 0.012 15.109 0.000 0.331 0.331
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.68.) 6.448 0.030 216.465 0.000 6.448 8.169
## .emp_wrk (.69.) 6.494 0.028 232.071 0.000 6.494 5.489
## .emp_mst (.70.) 6.261 0.032 194.286 0.000 6.261 7.240
## .emp_cpb (.71.) 6.458 0.030 217.142 0.000 6.458 8.125
## .emp_trs (.72.) 4.589 0.063 72.943 0.000 4.589 2.717
## .emp_trs (.73.) 4.791 0.064 75.098 0.000 4.791 2.800
## .emp_trs (.74.) 4.743 0.062 76.357 0.000 4.743 2.846
## .emp_cwr (.75.) 4.988 0.064 77.534 0.000 4.988 2.890
## .emp_wrk (.76.) 5.159 0.061 85.088 0.000 5.159 3.170
## .emp_cnt (.77.) 5.129 0.060 85.096 0.000 5.129 3.168
## .emp_nfn (.78.) 4.934 0.063 77.928 0.000 4.934 2.904
## .emp_pnn (.79.) 5.171 0.064 80.233 0.000 5.171 2.991
## .emp_wrk (.80.) 6.220 0.038 164.724 0.000 6.220 5.425
## .emp_dcd (.81.) 6.316 0.034 185.469 0.000 6.316 5.118
## .emp_ndp (.82.) 6.144 0.041 148.657 0.000 6.144 4.719
## .emp_prs (.83.) 6.329 0.033 192.134 0.000 6.329 6.315
## .emp_wrk (.84.) 6.467 0.030 216.994 0.000 6.467 8.209
## .emp_wrk (.85.) 6.213 0.036 171.227 0.000 6.213 6.413
## .emp_crw (.86.) 6.551 0.028 232.057 0.000 6.551 8.752
## .emp_wrk (.87.) 6.336 0.035 183.390 0.000 6.336 4.919
## .sts_myw (.88.) 4.245 0.034 125.433 0.000 4.245 4.634
## .sts_cwr (.89.) 3.789 0.042 90.892 0.000 3.789 3.344
## .sts_nst (.90.) 3.295 0.046 71.131 0.000 3.295 2.626
## Efficcy 0.000 0.000 0.000
## Trust 0.000 0.000 0.000
## PrsnlCn 0.000 0.000 0.000
## SlfDtrm 0.000 0.000 0.000
## Meaning 0.000 0.000 0.000
## .Stsfctn 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .emp_wrk (.29.) 0.213 0.076 2.803 0.005 0.213 0.343
## .emp_wrk (.30.) 0.205 0.076 2.711 0.007 0.205 0.146
## .emp_mst (.31.) 0.525 0.068 7.702 0.000 0.525 0.701
## .emp_cpb (.32.) 0.192 0.079 2.423 0.015 0.192 0.303
## .emp_trs (.33.) 0.580 0.157 3.689 0.000 0.580 0.203
## .emp_trs (.34.) 0.411 0.174 2.357 0.018 0.411 0.140
## .emp_trs (.35.) 0.402 0.167 2.407 0.016 0.402 0.145
## .emp_cwr (.36.) 0.625 0.187 3.335 0.001 0.625 0.210
## .emp_wrk (.37.) 1.033 0.162 6.384 0.000 1.033 0.390
## .emp_cnt (.38.) 0.941 0.162 5.828 0.000 0.941 0.359
## .emp_nfn (.39.) 0.776 0.171 4.535 0.000 0.776 0.269
## .emp_pnn (.40.) 0.511 0.198 2.576 0.010 0.511 0.171
## .emp_wrk (.41.) 0.438 0.109 4.010 0.000 0.438 0.333
## .emp_dcd (.42.) 0.332 0.089 3.744 0.000 0.332 0.218
## .emp_ndp (.43.) 0.296 0.131 2.259 0.024 0.296 0.175
## .emp_prs (.44.) 0.279 0.069 4.073 0.000 0.279 0.278
## .emp_wrk (.45.) 0.302 0.077 3.920 0.000 0.302 0.486
## .emp_wrk (.46.) 0.177 0.107 1.648 0.099 0.177 0.189
## .emp_crw (.47.) 0.230 0.079 2.891 0.004 0.230 0.410
## .emp_wrk (.48.) 0.340 0.094 3.629 0.000 0.340 0.205
## .sts_myw (.49.) 0.572 0.068 8.414 0.000 0.572 0.682
## .sts_cwr (.50.) 0.373 0.094 3.972 0.000 0.373 0.291
## .sts_nst (.51.) 0.965 0.074 13.007 0.000 0.965 0.613
## Efficcy (.52.) 0.410 0.034 11.976 0.000 1.000 1.000
## Trust (.53.) 2.273 0.100 22.657 0.000 1.000 1.000
## PrsnlCn (.54.) 1.614 0.085 18.914 0.000 1.000 1.000
## SlfDtrm 0.876 0.103 8.504 0.000 1.000 1.000
## Meaning (.56.) 0.319 0.027 11.907 0.000 1.000 1.000
## .Stsfctn (.57.) 0.086 0.017 5.024 0.000 0.323 0.323#Cronbach's Alpha
alpha(select(data, emp_workconfident, emp_workcapability, emp_masterskills, emp_capabilitysuccess)) #Efficacy##
## Reliability analysis
## Call: alpha(x = select(data, emp_workconfident, emp_workcapability,
## emp_masterskills, emp_capabilitysuccess))
##
## raw_alpha std.alpha G6(smc) average_r S/N ase mean sd median_r
## 0.83 0.83 0.8 0.55 4.9 0.01 6.4 0.67 0.57
##
## lower alpha upper 95% confidence boundaries
## 0.81 0.83 0.85
##
## Reliability if an item is dropped:
## raw_alpha std.alpha G6(smc) average_r S/N alpha se var.r
## emp_workconfident 0.76 0.76 0.69 0.52 3.3 0.015 0.0069
## emp_workcapability 0.82 0.82 0.76 0.61 4.7 0.011 0.0033
## emp_masterskills 0.80 0.80 0.74 0.58 4.1 0.012 0.0086
## emp_capabilitysuccess 0.75 0.75 0.67 0.50 3.0 0.016 0.0059
## med.r
## emp_workconfident 0.56
## emp_workcapability 0.58
## emp_masterskills 0.56
## emp_capabilitysuccess 0.49
##
## Item statistics
## n raw.r std.r r.cor r.drop mean sd
## emp_workconfident 751 0.84 0.84 0.78 0.71 6.4 0.80
## emp_workcapability 749 0.76 0.76 0.63 0.57 6.5 0.82
## emp_masterskills 744 0.80 0.79 0.68 0.62 6.3 0.86
## emp_capabilitysuccess 747 0.86 0.86 0.82 0.74 6.5 0.82
##
## Non missing response frequency for each item
## 1 2 3 4 5 6 7 miss
## emp_workconfident 0.00 0.00 0.01 0.01 0.08 0.32 0.58 0.01
## emp_workcapability 0.01 0.00 0.00 0.01 0.06 0.33 0.59 0.01
## emp_masterskills 0.00 0.01 0.01 0.01 0.13 0.38 0.47 0.02
## emp_capabilitysuccess 0.00 0.00 0.01 0.01 0.07 0.32 0.59 0.01alpha(select(data, emp_trustcoworkers, emp_trustshare, emp_trustpromises, emp_coworkerscare)) #Trust##
## Reliability analysis
## Call: alpha(x = select(data, emp_trustcoworkers, emp_trustshare, emp_trustpromises,
## emp_coworkerscare))
##
## raw_alpha std.alpha G6(smc) average_r S/N ase mean sd median_r
## 0.95 0.95 0.93 0.82 18 0.0031 4.8 1.6 0.82
##
## lower alpha upper 95% confidence boundaries
## 0.94 0.95 0.95
##
## Reliability if an item is dropped:
## raw_alpha std.alpha G6(smc) average_r S/N alpha se var.r
## emp_trustcoworkers 0.93 0.93 0.90 0.82 13 0.0044 5.5e-04
## emp_trustshare 0.93 0.93 0.90 0.81 13 0.0047 8.5e-04
## emp_trustpromises 0.93 0.93 0.90 0.81 13 0.0046 1.3e-03
## emp_coworkerscare 0.94 0.94 0.92 0.84 16 0.0036 4.6e-05
## med.r
## emp_trustcoworkers 0.80
## emp_trustshare 0.80
## emp_trustpromises 0.80
## emp_coworkerscare 0.84
##
## Item statistics
## n raw.r std.r r.cor r.drop mean sd
## emp_trustcoworkers 750 0.93 0.93 0.91 0.88 4.6 1.7
## emp_trustshare 751 0.94 0.94 0.92 0.89 4.8 1.7
## emp_trustpromises 746 0.94 0.94 0.91 0.89 4.7 1.7
## emp_coworkerscare 745 0.91 0.91 0.86 0.84 5.0 1.7
##
## Non missing response frequency for each item
## 1 2 3 4 5 6 7 miss
## emp_trustcoworkers 0.05 0.11 0.12 0.12 0.24 0.28 0.09 0.01
## emp_trustshare 0.06 0.08 0.10 0.12 0.22 0.29 0.14 0.01
## emp_trustpromises 0.05 0.08 0.08 0.16 0.21 0.30 0.11 0.01
## emp_coworkerscare 0.06 0.06 0.07 0.12 0.21 0.30 0.18 0.01alpha(select(data, emp_workimpact, emp_controlunit, emp_infuenceunit, emp_opinioncounts)) #Personal Consequence##
## Reliability analysis
## Call: alpha(x = select(data, emp_workimpact, emp_controlunit, emp_infuenceunit,
## emp_opinioncounts))
##
## raw_alpha std.alpha G6(smc) average_r S/N ase mean sd median_r
## 0.91 0.91 0.89 0.71 9.6 0.0056 5.1 1.5 0.73
##
## lower alpha upper 95% confidence boundaries
## 0.9 0.91 0.92
##
## Reliability if an item is dropped:
## raw_alpha std.alpha G6(smc) average_r S/N alpha se var.r
## emp_workimpact 0.89 0.89 0.86 0.73 8.1 0.0070 0.00528
## emp_controlunit 0.90 0.90 0.85 0.74 8.6 0.0065 0.00084
## emp_infuenceunit 0.85 0.85 0.80 0.66 5.8 0.0093 0.00576
## emp_opinioncounts 0.87 0.87 0.83 0.69 6.8 0.0082 0.00881
## med.r
## emp_workimpact 0.77
## emp_controlunit 0.74
## emp_infuenceunit 0.65
## emp_opinioncounts 0.71
##
## Item statistics
## n raw.r std.r r.cor r.drop mean sd
## emp_workimpact 750 0.86 0.86 0.79 0.75 5.1 1.7
## emp_controlunit 749 0.85 0.85 0.79 0.74 5.1 1.6
## emp_infuenceunit 748 0.92 0.92 0.90 0.86 4.9 1.7
## emp_opinioncounts 747 0.90 0.89 0.85 0.81 5.1 1.8
##
## Non missing response frequency for each item
## 1 2 3 4 5 6 7 miss
## emp_workimpact 0.04 0.07 0.08 0.10 0.21 0.29 0.22 0.01
## emp_controlunit 0.04 0.06 0.08 0.12 0.22 0.27 0.22 0.01
## emp_infuenceunit 0.05 0.07 0.09 0.12 0.22 0.25 0.19 0.01
## emp_opinioncounts 0.05 0.08 0.06 0.07 0.20 0.30 0.23 0.01alpha(select(data, emp_workautonomy, emp_decidemywork, emp_independence, emp_personalinitiative)) #Self-determination##
## Reliability analysis
## Call: alpha(x = select(data, emp_workautonomy, emp_decidemywork, emp_independence,
## emp_personalinitiative))
##
## raw_alpha std.alpha G6(smc) average_r S/N ase mean sd median_r
## 0.89 0.89 0.86 0.66 7.7 0.0067 6.2 0.89 0.66
##
## lower alpha upper 95% confidence boundaries
## 0.87 0.89 0.9
##
## Reliability if an item is dropped:
## raw_alpha std.alpha G6(smc) average_r S/N alpha se
## emp_workautonomy 0.86 0.86 0.81 0.67 6.1 0.0088
## emp_decidemywork 0.84 0.84 0.79 0.63 5.2 0.0100
## emp_independence 0.82 0.82 0.76 0.60 4.5 0.0115
## emp_personalinitiative 0.89 0.89 0.85 0.73 8.2 0.0068
## var.r med.r
## emp_workautonomy 0.0079 0.63
## emp_decidemywork 0.0126 0.63
## emp_independence 0.0063 0.61
## emp_personalinitiative 0.0024 0.74
##
## Item statistics
## n raw.r std.r r.cor r.drop mean sd
## emp_workautonomy 749 0.86 0.85 0.79 0.74 6.2 1.04
## emp_decidemywork 748 0.88 0.89 0.84 0.79 6.3 0.97
## emp_independence 750 0.92 0.91 0.89 0.84 6.1 1.14
## emp_personalinitiative 747 0.79 0.80 0.69 0.65 6.3 0.96
##
## Non missing response frequency for each item
## 1 2 3 4 5 6 7 miss
## emp_workautonomy 0.00 0.01 0.01 0.01 0.14 0.34 0.48 0.01
## emp_decidemywork 0.00 0.01 0.02 0.01 0.10 0.35 0.51 0.01
## emp_independence 0.01 0.01 0.03 0.03 0.12 0.33 0.47 0.01
## emp_personalinitiative 0.00 0.01 0.01 0.03 0.11 0.33 0.51 0.01alpha(select(data, emp_workimp, emp_workmeaning, emp_carework, emp_workspecial)) #Meaning##
## Reliability analysis
## Call: alpha(x = select(data, emp_workimp, emp_workmeaning, emp_carework,
## emp_workspecial))
##
## raw_alpha std.alpha G6(smc) average_r S/N ase mean sd median_r
## 0.87 0.87 0.85 0.64 7 0.0072 6.4 0.76 0.65
##
## lower alpha upper 95% confidence boundaries
## 0.86 0.87 0.89
##
## Reliability if an item is dropped:
## raw_alpha std.alpha G6(smc) average_r S/N alpha se var.r med.r
## emp_workimp 0.87 0.88 0.83 0.70 7.1 0.0077 0.0011 0.70
## emp_workmeaning 0.83 0.83 0.78 0.61 4.8 0.0107 0.0096 0.64
## emp_carework 0.84 0.84 0.80 0.64 5.4 0.0096 0.0083 0.64
## emp_workspecial 0.80 0.81 0.74 0.58 4.1 0.0121 0.0074 0.56
##
## Item statistics
## n raw.r std.r r.cor r.drop mean sd
## emp_workimp 751 0.78 0.79 0.68 0.64 6.5 0.82
## emp_workmeaning 751 0.88 0.87 0.82 0.77 6.2 1.00
## emp_carework 750 0.83 0.84 0.77 0.72 6.5 0.77
## emp_workspecial 746 0.91 0.90 0.87 0.82 6.3 0.95
##
## Non missing response frequency for each item
## 1 2 3 4 5 6 7 miss
## emp_workimp 0 0.00 0.01 0.01 0.07 0.31 0.59 0.01
## emp_workmeaning 0 0.01 0.02 0.01 0.13 0.36 0.46 0.01
## emp_carework 0 0.00 0.01 0.01 0.05 0.28 0.65 0.01
## emp_workspecial 0 0.00 0.01 0.02 0.10 0.32 0.54 0.01alpha(select(data, satis_mywork, satis_coworkerswork, satis_inst)) #Satisfaction##
## Reliability analysis
## Call: alpha(x = select(data, satis_mywork, satis_coworkerswork, satis_inst))
##
## raw_alpha std.alpha G6(smc) average_r S/N ase mean sd median_r
## 0.7 0.71 0.62 0.45 2.4 0.018 3.8 0.88 0.45
##
## lower alpha upper 95% confidence boundaries
## 0.67 0.7 0.74
##
## Reliability if an item is dropped:
## raw_alpha std.alpha G6(smc) average_r S/N alpha se var.r
## satis_mywork 0.66 0.66 0.50 0.50 2.0 0.025 NA
## satis_coworkerswork 0.60 0.62 0.45 0.45 1.6 0.027 NA
## satis_inst 0.56 0.57 0.40 0.40 1.3 0.031 NA
## med.r
## satis_mywork 0.50
## satis_coworkerswork 0.45
## satis_inst 0.40
##
## Item statistics
## n raw.r std.r r.cor r.drop mean sd
## satis_mywork 752 0.73 0.78 0.58 0.49 4.2 0.92
## satis_coworkerswork 750 0.80 0.79 0.63 0.53 3.8 1.14
## satis_inst 749 0.84 0.82 0.67 0.57 3.3 1.24
##
## Non missing response frequency for each item
## 1 2 3 4 5 miss
## satis_mywork 0.02 0.06 0.05 0.43 0.45 0.01
## satis_coworkerswork 0.06 0.11 0.11 0.46 0.27 0.01
## satis_inst 0.11 0.19 0.15 0.40 0.14 0.01