# Actividad 3.
# Alhelí Acosta de la Rosa // A01382195
# Ana Gabriela Sánchez Ruiz // A00828813
# Andrea Natalia Padilla Cedeño // A01197560
# Litzy Duque González // A01382189
# Rodrigo Gutiérrez Del Bosque // A01382212
library(lavaan)
## This is lavaan 0.6-14
## lavaan is FREE software! Please report any bugs.
library(lavaanPlot)
# lavaan = Latent Variable Analysis
# Importar la base de datos
bd <- read.csv("C:/Users/andre/Desktop/Generación de escenarios/Estadística multivariante/Datos_SEM_Eng.csv")
# Entender la base de datos
summary(bd)
## ID GEN EXPER EDAD
## Min. : 1.0 Min. :0.0000 Min. : 0.00 Min. :22.00
## 1st Qu.: 56.5 1st Qu.:0.0000 1st Qu.:15.00 1st Qu.:37.50
## Median :112.0 Median :1.0000 Median :20.00 Median :44.00
## Mean :112.0 Mean :0.5919 Mean :21.05 Mean :43.95
## 3rd Qu.:167.5 3rd Qu.:1.0000 3rd Qu.:27.50 3rd Qu.:51.00
## Max. :223.0 Max. :1.0000 Max. :50.00 Max. :72.00
## RPD01 RPD02 RPD03 RPD05 RPD06
## Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.00 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:3.000
## Median :5.000 Median :4.00 Median :5.000 Median :5.000 Median :5.000
## Mean :4.596 Mean :4.09 Mean :4.789 Mean :4.327 Mean :4.798
## 3rd Qu.:6.000 3rd Qu.:6.00 3rd Qu.:7.000 3rd Qu.:6.000 3rd Qu.:7.000
## Max. :7.000 Max. :7.00 Max. :7.000 Max. :7.000 Max. :7.000
## RPD07 RPD08 RPD09 RPD10
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:2.000 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:2.500
## Median :4.000 Median :5.000 Median :5.000 Median :5.000
## Mean :3.794 Mean :4.735 Mean :4.466 Mean :4.435
## 3rd Qu.:5.500 3rd Qu.:7.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## RRE02 RRE03 RRE04 RRE05 RRE06
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.0
## 1st Qu.:5.000 1st Qu.:5.000 1st Qu.:5.000 1st Qu.:5.000 1st Qu.:4.0
## Median :6.000 Median :6.000 Median :6.000 Median :6.000 Median :6.0
## Mean :5.691 Mean :5.534 Mean :5.668 Mean :5.623 Mean :5.3
## 3rd Qu.:7.000 3rd Qu.:7.000 3rd Qu.:7.000 3rd Qu.:7.000 3rd Qu.:7.0
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.0
## RRE07 RRE10 RMA02 RMA03
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:5.000 1st Qu.:3.000 1st Qu.:3.000
## Median :6.000 Median :6.000 Median :4.000 Median :5.000
## Mean :5.305 Mean :5.664 Mean :4.215 Mean :4.377
## 3rd Qu.:7.000 3rd Qu.:7.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## RMA04 RMA05 RMA06 RMA07
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:5.000 1st Qu.:4.000
## Median :5.000 Median :5.000 Median :6.000 Median :5.000
## Mean :4.686 Mean :4.637 Mean :5.511 Mean :4.767
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:7.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## RMA08 RMA09 RMA10 RCO02 RCO03
## Min. :1.000 Min. :1.000 Min. :1.00 Min. :1.000 Min. :1.000
## 1st Qu.:4.000 1st Qu.:3.000 1st Qu.:3.00 1st Qu.:5.000 1st Qu.:5.000
## Median :5.000 Median :5.000 Median :5.00 Median :6.000 Median :6.000
## Mean :4.942 Mean :4.614 Mean :4.43 Mean :5.336 Mean :5.574
## 3rd Qu.:6.500 3rd Qu.:6.000 3rd Qu.:6.00 3rd Qu.:7.000 3rd Qu.:7.000
## Max. :7.000 Max. :7.000 Max. :7.00 Max. :7.000 Max. :7.000
## RCO04 RCO05 RCO06 RCO07
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:5.000 1st Qu.:5.000 1st Qu.:5.000 1st Qu.:5.000
## Median :6.000 Median :6.000 Median :6.000 Median :6.000
## Mean :5.704 Mean :5.668 Mean :5.619 Mean :5.632
## 3rd Qu.:7.000 3rd Qu.:7.000 3rd Qu.:7.000 3rd Qu.:7.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## EN01 EN02 EN04 EN05
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :1.000
## 1st Qu.:3.000 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:4.000
## Median :5.000 Median :6.000 Median :5.000 Median :5.000
## Mean :4.717 Mean :5.004 Mean :4.883 Mean :4.928
## 3rd Qu.:6.000 3rd Qu.:7.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## EN06 EN07 EN08 EVI01
## Min. :1.000 Min. :1.000 Min. :1.000 Min. :0.000
## 1st Qu.:3.000 1st Qu.:3.000 1st Qu.:4.000 1st Qu.:4.000
## Median :5.000 Median :5.000 Median :5.000 Median :5.000
## Mean :4.767 Mean :4.578 Mean :4.776 Mean :5.013
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:6.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## EVI02 EVI03 EDE01 EDE02
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:4.000 1st Qu.:4.000 1st Qu.:5.000 1st Qu.:5.000
## Median :6.000 Median :6.000 Median :6.000 Median :6.000
## Mean :5.076 Mean :4.973 Mean :5.305 Mean :5.543
## 3rd Qu.:6.000 3rd Qu.:6.000 3rd Qu.:7.000 3rd Qu.:7.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
## EDE03 EAB01 EAB02 EAB03
## Min. :0.000 Min. :0.000 Min. :0.000 Min. :0.000
## 1st Qu.:6.000 1st Qu.:5.000 1st Qu.:5.000 1st Qu.:5.000
## Median :7.000 Median :6.000 Median :6.000 Median :6.000
## Mean :6.135 Mean :5.605 Mean :5.821 Mean :5.363
## 3rd Qu.:7.000 3rd Qu.:7.000 3rd Qu.:7.000 3rd Qu.:7.000
## Max. :7.000 Max. :7.000 Max. :7.000 Max. :7.000
# Tipos de fórmula
# Regresión ~
# Definición de variable latente =~
# Varianzas y covarianzas ~~
# Intercepto ~1
# Estructura del modelo
## Parte 1
model_p1 <- "
desapego =~ RPD02 + RPD03 + RPD05 + RPD06 + RPD07 + RPD08 + RPD09 + RPD10
relajacion =~ RRE02 + RRE03 + RRE04 + RRE05 + RRE06 + RRE07 + RRE10
maestria =~ RMA03 + RMA04 + RMA05 + RMA07 + RMA08 + RMA09 + RMA10
control =~ RCO02 + RCO03 + RCO04 + RCO05 + RCO06 + RCO07
# Second order factor life_satisfaction
recuperacion =~ desapego + relajacion + maestria + control
"
fit <- cfa(model_p1, bd)
summary(fit, fit.measures = TRUE, standardized = TRUE)
## lavaan 0.6.14 ended normally after 45 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 60
##
## Number of observations 223
##
## Model Test User Model:
##
## Test statistic 970.578
## Degrees of freedom 346
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 6830.254
## Degrees of freedom 378
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.903
## Tucker-Lewis Index (TLI) 0.894
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -9515.025
## Loglikelihood unrestricted model (H1) -9029.736
##
## Akaike (AIC) 19150.050
## Bayesian (BIC) 19354.480
## Sample-size adjusted Bayesian (SABIC) 19164.333
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.090
## 90 Percent confidence interval - lower 0.083
## 90 Percent confidence interval - upper 0.097
## P-value H_0: RMSEA <= 0.050 0.000
## P-value H_0: RMSEA >= 0.080 0.993
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.060
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Structured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## desapego =~
## RPD02 1.000 1.648 0.846
## RPD03 0.947 0.066 14.366 0.000 1.561 0.785
## RPD05 1.096 0.064 17.123 0.000 1.806 0.872
## RPD06 0.927 0.068 13.543 0.000 1.528 0.756
## RPD07 1.027 0.064 15.996 0.000 1.693 0.839
## RPD08 0.993 0.066 15.149 0.000 1.635 0.812
## RPD09 1.119 0.064 17.494 0.000 1.843 0.882
## RPD10 1.141 0.065 17.579 0.000 1.879 0.885
## relajacion =~
## RRE02 1.000 1.274 0.849
## RRE03 1.120 0.065 17.221 0.000 1.426 0.870
## RRE04 1.025 0.058 17.709 0.000 1.306 0.883
## RRE05 1.055 0.056 18.761 0.000 1.344 0.910
## RRE06 1.245 0.074 16.862 0.000 1.586 0.860
## RRE07 1.117 0.071 15.690 0.000 1.423 0.825
## RRE10 0.815 0.067 12.123 0.000 1.038 0.698
## maestria =~
## RMA03 1.000 1.592 0.783
## RMA04 1.047 0.070 14.949 0.000 1.666 0.878
## RMA05 1.008 0.069 14.564 0.000 1.605 0.861
## RMA07 0.975 0.067 14.551 0.000 1.552 0.860
## RMA08 0.989 0.068 14.644 0.000 1.575 0.864
## RMA09 0.917 0.067 13.611 0.000 1.460 0.818
## RMA10 0.928 0.071 13.084 0.000 1.477 0.793
## control =~
## RCO02 1.000 1.630 0.854
## RCO03 0.948 0.049 19.172 0.000 1.545 0.912
## RCO04 0.796 0.044 18.104 0.000 1.297 0.886
## RCO05 0.818 0.043 18.986 0.000 1.333 0.907
## RCO06 0.835 0.046 18.213 0.000 1.360 0.889
## RCO07 0.835 0.046 18.053 0.000 1.361 0.884
## recuperacion =~
## desapego 1.000 0.717 0.717
## relajacion 0.963 0.105 9.159 0.000 0.893 0.893
## maestria 0.797 0.115 6.917 0.000 0.592 0.592
## control 1.118 0.125 8.950 0.000 0.811 0.811
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .RPD02 1.080 0.116 9.270 0.000 1.080 0.285
## .RPD03 1.515 0.156 9.738 0.000 1.515 0.383
## .RPD05 1.030 0.115 8.932 0.000 1.030 0.240
## .RPD06 1.754 0.178 9.880 0.000 1.754 0.429
## .RPD07 1.209 0.129 9.345 0.000 1.209 0.297
## .RPD08 1.386 0.145 9.571 0.000 1.386 0.341
## .RPD09 0.968 0.111 8.755 0.000 0.968 0.222
## .RPD10 0.982 0.113 8.710 0.000 0.982 0.218
## .RRE02 0.626 0.068 9.274 0.000 0.626 0.278
## .RRE03 0.654 0.073 9.013 0.000 0.654 0.243
## .RRE04 0.481 0.055 8.794 0.000 0.481 0.220
## .RRE05 0.374 0.046 8.148 0.000 0.374 0.171
## .RRE06 0.887 0.097 9.151 0.000 0.887 0.261
## .RRE07 0.950 0.100 9.504 0.000 0.950 0.319
## .RRE10 1.136 0.113 10.092 0.000 1.136 0.513
## .RMA03 1.594 0.166 9.605 0.000 1.594 0.386
## .RMA04 0.829 0.097 8.534 0.000 0.829 0.230
## .RMA05 0.902 0.102 8.833 0.000 0.902 0.259
## .RMA07 0.847 0.096 8.842 0.000 0.847 0.260
## .RMA08 0.840 0.096 8.776 0.000 0.840 0.253
## .RMA09 1.056 0.113 9.344 0.000 1.056 0.331
## .RMA10 1.285 0.135 9.540 0.000 1.285 0.371
## .RCO02 0.984 0.105 9.380 0.000 0.984 0.270
## .RCO03 0.485 0.058 8.392 0.000 0.485 0.169
## .RCO04 0.462 0.052 8.962 0.000 0.462 0.215
## .RCO05 0.382 0.045 8.510 0.000 0.382 0.177
## .RCO06 0.493 0.055 8.914 0.000 0.493 0.211
## .RCO07 0.515 0.057 8.984 0.000 0.515 0.218
## .desapego 1.319 0.197 6.692 0.000 0.486 0.486
## .relajacion 0.330 0.089 3.702 0.000 0.203 0.203
## .maestria 1.646 0.253 6.513 0.000 0.650 0.650
## .control 0.911 0.160 5.691 0.000 0.343 0.343
## recuperacion 1.396 0.274 5.093 0.000 1.000 1.000
lavaanPlot(model = fit, coefs = TRUE, covs = TRUE)
## Parte 2
model_p2 <- "
energia =~ EN01 + EN02 + EN04 + EN05 + EN06 + EN07 + EN08
"
fit2 <- cfa(model_p2, bd)
summary(fit2, fit.measures = TRUE, standardized = TRUE)
## lavaan 0.6.14 ended normally after 32 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 14
##
## Number of observations 223
##
## Model Test User Model:
##
## Test statistic 47.222
## Degrees of freedom 14
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 2324.436
## Degrees of freedom 21
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.986
## Tucker-Lewis Index (TLI) 0.978
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -2017.154
## Loglikelihood unrestricted model (H1) -1993.543
##
## Akaike (AIC) 4062.308
## Bayesian (BIC) 4110.008
## Sample-size adjusted Bayesian (SABIC) 4065.641
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.103
## 90 Percent confidence interval - lower 0.072
## 90 Percent confidence interval - upper 0.136
## P-value H_0: RMSEA <= 0.050 0.004
## P-value H_0: RMSEA >= 0.080 0.892
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.012
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Structured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## energia =~
## EN01 1.000 1.674 0.893
## EN02 1.029 0.044 23.192 0.000 1.723 0.933
## EN04 0.999 0.044 22.583 0.000 1.672 0.924
## EN05 0.999 0.042 23.649 0.000 1.672 0.939
## EN06 0.986 0.042 23.722 0.000 1.651 0.940
## EN07 1.049 0.046 22.856 0.000 1.755 0.928
## EN08 1.036 0.043 24.173 0.000 1.734 0.946
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .EN01 0.711 0.074 9.651 0.000 0.711 0.202
## .EN02 0.444 0.049 9.012 0.000 0.444 0.130
## .EN04 0.481 0.052 9.214 0.000 0.481 0.147
## .EN05 0.375 0.042 8.830 0.000 0.375 0.118
## .EN06 0.359 0.041 8.798 0.000 0.359 0.116
## .EN07 0.499 0.055 9.129 0.000 0.499 0.139
## .EN08 0.353 0.041 8.580 0.000 0.353 0.105
## energia 2.801 0.327 8.565 0.000 1.000 1.000
lavaanPlot(model = fit2, coefs = TRUE, covs = TRUE)
# EN
# Parte 3
model_p3 <- "
# Engagement
vigor =~ EVI01 + EVI02 + EVI03
dedicacion =~ EDE01 + EDE02 + EDE03
absorcion =~ EAB01 + EAB02
engagement =~ vigor + dedicacion + absorcion
# Recuperación
desapego =~ RPD02 + RPD03 + RPD05 + RPD06 + RPD07 + RPD08 + RPD09 + RPD10
relajacion =~ RRE02 + RRE03 + RRE04 + RRE05 + RRE06 + RRE07 + RRE10
maestria =~ RMA03 + RMA04 + RMA05 + RMA07 + RMA08 + RMA09 + RMA10
control =~ RCO02 + RCO03 + RCO04 + RCO05 + RCO06 + RCO07
recuperacion =~ desapego + relajacion + maestria + control
# Energía
energia =~ EN01 + EN02 + EN04 + EN05 + EN06 + EN07 + EN08
#Final
ambiente =~ engagement + recuperacion + energia
"
fit3 <- cfa(model_p3, bd)
summary(fit3, fit.measures = TRUE, standardized = TRUE)
## lavaan 0.6.14 ended normally after 72 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of model parameters 96
##
## Number of observations 223
##
## Model Test User Model:
##
## Test statistic 2077.771
## Degrees of freedom 850
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 12369.625
## Degrees of freedom 903
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.893
## Tucker-Lewis Index (TLI) 0.886
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -13968.683
## Loglikelihood unrestricted model (H1) -12929.798
##
## Akaike (AIC) 28129.367
## Bayesian (BIC) 28456.455
## Sample-size adjusted Bayesian (SABIC) 28152.219
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.080
## 90 Percent confidence interval - lower 0.076
## 90 Percent confidence interval - upper 0.085
## P-value H_0: RMSEA <= 0.050 0.000
## P-value H_0: RMSEA >= 0.080 0.576
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.064
##
## Parameter Estimates:
##
## Standard errors Standard
## Information Expected
## Information saturated (h1) model Structured
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## vigor =~
## EVI01 1.000 1.684 0.967
## EVI02 0.985 0.028 35.256 0.000 1.659 0.962
## EVI03 0.996 0.048 20.569 0.000 1.678 0.836
## dedicacion =~
## EDE01 1.000 1.871 0.953
## EDE02 0.905 0.034 26.515 0.000 1.694 0.922
## EDE03 0.567 0.037 15.448 0.000 1.061 0.750
## absorcion =~
## EAB01 1.000 1.641 0.936
## EAB02 0.656 0.053 12.368 0.000 1.077 0.709
## engagement =~
## vigor 1.000 0.900 0.900
## dedicacion 1.216 0.061 20.021 0.000 0.986 0.986
## absorcion 0.984 0.057 17.201 0.000 0.909 0.909
## desapego =~
## RPD02 1.000 1.654 0.849
## RPD03 0.946 0.065 14.490 0.000 1.564 0.787
## RPD05 1.095 0.063 17.339 0.000 1.811 0.874
## RPD06 0.920 0.068 13.507 0.000 1.521 0.752
## RPD07 1.025 0.063 16.148 0.000 1.696 0.840
## RPD08 0.983 0.065 15.096 0.000 1.626 0.807
## RPD09 1.114 0.063 17.605 0.000 1.842 0.882
## RPD10 1.134 0.064 17.657 0.000 1.876 0.883
## relajacion =~
## RRE02 1.000 1.275 0.850
## RRE03 1.120 0.065 17.289 0.000 1.428 0.871
## RRE04 1.021 0.058 17.623 0.000 1.301 0.880
## RRE05 1.051 0.056 18.686 0.000 1.341 0.908
## RRE06 1.246 0.074 16.921 0.000 1.588 0.861
## RRE07 1.121 0.071 15.838 0.000 1.430 0.829
## RRE10 0.815 0.067 12.135 0.000 1.039 0.698
## maestria =~
## RMA03 1.000 1.587 0.781
## RMA04 1.049 0.071 14.878 0.000 1.666 0.877
## RMA05 1.010 0.070 14.491 0.000 1.604 0.860
## RMA07 0.978 0.067 14.499 0.000 1.552 0.860
## RMA08 0.993 0.068 14.602 0.000 1.576 0.865
## RMA09 0.921 0.068 13.582 0.000 1.462 0.819
## RMA10 0.931 0.071 13.050 0.000 1.477 0.794
## control =~
## RCO02 1.000 1.632 0.855
## RCO03 0.945 0.049 19.161 0.000 1.542 0.910
## RCO04 0.794 0.044 18.094 0.000 1.295 0.884
## RCO05 0.815 0.043 18.923 0.000 1.329 0.904
## RCO06 0.837 0.045 18.404 0.000 1.365 0.892
## RCO07 0.836 0.046 18.201 0.000 1.365 0.887
## recuperacion =~
## desapego 1.000 0.713 0.713
## relajacion 0.895 0.097 9.230 0.000 0.827 0.827
## maestria 0.834 0.115 7.255 0.000 0.620 0.620
## control 1.189 0.125 9.478 0.000 0.860 0.860
## energia =~
## EN01 1.000 1.678 0.895
## EN02 1.027 0.044 23.414 0.000 1.723 0.933
## EN04 0.998 0.044 22.868 0.000 1.675 0.925
## EN05 0.996 0.042 23.835 0.000 1.671 0.939
## EN06 0.983 0.041 23.857 0.000 1.649 0.939
## EN07 1.045 0.045 22.961 0.000 1.753 0.926
## EN08 1.033 0.042 24.399 0.000 1.733 0.946
## ambiente =~
## engagement 1.000 0.678 0.678
## recuperacion 1.009 0.132 7.622 0.000 0.880 0.880
## energia 1.530 0.170 8.987 0.000 0.937 0.937
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .EVI01 0.199 0.039 5.056 0.000 0.199 0.066
## .EVI02 0.224 0.040 5.637 0.000 0.224 0.075
## .EVI03 1.211 0.124 9.770 0.000 1.211 0.301
## .EDE01 0.352 0.064 5.530 0.000 0.352 0.091
## .EDE02 0.509 0.067 7.646 0.000 0.509 0.151
## .EDE03 0.874 0.088 9.945 0.000 0.874 0.437
## .EAB01 0.379 0.128 2.952 0.003 0.379 0.123
## .EAB02 1.149 0.121 9.492 0.000 1.149 0.498
## .RPD02 1.059 0.115 9.239 0.000 1.059 0.279
## .RPD03 1.505 0.155 9.731 0.000 1.505 0.381
## .RPD05 1.011 0.114 8.896 0.000 1.011 0.236
## .RPD06 1.777 0.180 9.896 0.000 1.777 0.434
## .RPD07 1.199 0.128 9.334 0.000 1.199 0.294
## .RPD08 1.415 0.147 9.606 0.000 1.415 0.349
## .RPD09 0.973 0.111 8.771 0.000 0.973 0.223
## .RPD10 0.995 0.114 8.745 0.000 0.995 0.220
## .RRE02 0.624 0.067 9.253 0.000 0.624 0.277
## .RRE03 0.648 0.072 8.978 0.000 0.648 0.241
## .RRE04 0.492 0.056 8.829 0.000 0.492 0.225
## .RRE05 0.384 0.047 8.201 0.000 0.384 0.176
## .RRE06 0.880 0.097 9.122 0.000 0.880 0.259
## .RRE07 0.930 0.098 9.459 0.000 0.930 0.313
## .RRE10 1.136 0.113 10.087 0.000 1.136 0.513
## .RMA03 1.607 0.167 9.623 0.000 1.607 0.389
## .RMA04 0.831 0.097 8.550 0.000 0.831 0.230
## .RMA05 0.905 0.102 8.851 0.000 0.905 0.260
## .RMA07 0.845 0.096 8.846 0.000 0.845 0.260
## .RMA08 0.836 0.095 8.772 0.000 0.836 0.252
## .RMA09 1.051 0.113 9.342 0.000 1.051 0.330
## .RMA10 1.282 0.134 9.542 0.000 1.282 0.370
## .RCO02 0.978 0.104 9.392 0.000 0.978 0.269
## .RCO03 0.493 0.058 8.476 0.000 0.493 0.172
## .RCO04 0.468 0.052 9.016 0.000 0.468 0.218
## .RCO05 0.393 0.046 8.618 0.000 0.393 0.182
## .RCO06 0.479 0.054 8.882 0.000 0.479 0.204
## .RCO07 0.505 0.056 8.971 0.000 0.505 0.213
## .EN01 0.696 0.072 9.660 0.000 0.696 0.198
## .EN02 0.443 0.049 9.063 0.000 0.443 0.130
## .EN04 0.473 0.051 9.236 0.000 0.473 0.144
## .EN05 0.377 0.042 8.907 0.000 0.377 0.119
## .EN06 0.366 0.041 8.898 0.000 0.366 0.119
## .EN07 0.507 0.055 9.209 0.000 0.507 0.142
## .EN08 0.353 0.041 8.657 0.000 0.353 0.105
## .vigor 0.537 0.084 6.415 0.000 0.189 0.189
## .dedicacion 0.099 0.087 1.128 0.259 0.028 0.028
## .absorcion 0.469 0.138 3.393 0.001 0.174 0.174
## .engagement 1.244 0.172 7.218 0.000 0.541 0.541
## .desapego 1.345 0.193 6.975 0.000 0.492 0.492
## .relajacion 0.513 0.085 6.006 0.000 0.315 0.315
## .maestria 1.552 0.239 6.508 0.000 0.616 0.616
## .control 0.695 0.126 5.530 0.000 0.261 0.261
## .recuperacion 0.314 0.102 3.078 0.002 0.226 0.226
## .energia 0.345 0.169 2.044 0.041 0.123 0.123
## ambiente 1.056 0.217 4.867 0.000 1.000 1.000
lavaanPlot(model = fit3, coefs = TRUE, covs = TRUE)