Librerias y Carga de Base de Datos

bd = read_xlsx('DATOS_SEM_Eng.xlsx')
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

Análisis factorial confirmatorio sobre el constructo de experiencias de recuperación

Regresion ~ Definicion de variables latente =~ Varianzas y covarianzas ~~ Intercepto ~1

Estructura del modelo

modelo = ' # regresiones
           # Definciones de variables latentes
              desapego =~ RPD01+RPD02+RPD03+RPD05+RPD06+RPD07+RPD08+RPD09+RPD10
              relajacion =~ RRE02+RRE03+RRE04+RRE05+RRE06+RRE07+RRE10
              dominio =~ RMA02+RMA03+RMA04+RMA05+RMA06+RMA07+RMA08+RMA09+RMA10
              control_tiempo =~ RCO02+RCO03+RCO04+RCO05+RCO06+RCO07
              
           # Second Order Factor recuperacion
           recuperacion =~ desapego + relajacion + dominio + control_tiempo
           # Varianzas y covarianzas
           # Interceptos
         '

Analisis Factorial Confirmatorio (CFA)

fit = cfa(modelo, bd)
summary(fit,fit.measures=TRUE, standardized = TRUE)
## lavaan 0.6.14 ended normally after 47 iterations
## 
##   Estimator                                         ML
##   Optimization method                           NLMINB
##   Number of model parameters                        66
## 
##   Number of observations                           223
## 
## Model Test User Model:
##                                                       
##   Test statistic                              1221.031
##   Degrees of freedom                               430
##   P-value (Chi-square)                           0.000
## 
## Model Test Baseline Model:
## 
##   Test statistic                              7522.157
##   Degrees of freedom                               465
##   P-value                                        0.000
## 
## User Model versus Baseline Model:
## 
##   Comparative Fit Index (CFI)                    0.888
##   Tucker-Lewis Index (TLI)                       0.879
## 
## Loglikelihood and Information Criteria:
## 
##   Loglikelihood user model (H0)             -10616.148
##   Loglikelihood unrestricted model (H1)     -10005.632
##                                                       
##   Akaike (AIC)                               21364.296
##   Bayesian (BIC)                             21589.169
##   Sample-size adjusted Bayesian (SABIC)      21380.007
## 
## Root Mean Square Error of Approximation:
## 
##   RMSEA                                          0.091
##   90 Percent confidence interval - lower         0.085
##   90 Percent confidence interval - upper         0.097
##   P-value H_0: RMSEA <= 0.050                    0.000
##   P-value H_0: RMSEA >= 0.080                    0.998
## 
## Standardized Root Mean Square Residual:
## 
##   SRMR                                           0.075
## 
## 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 =~                                                            
##     RPD01              1.000                               1.386    0.788
##     RPD02              1.206    0.082   14.780    0.000    1.672    0.858
##     RPD03              1.143    0.085   13.374    0.000    1.584    0.797
##     RPD05              1.312    0.086   15.244    0.000    1.818    0.878
##     RPD06              1.088    0.089   12.266    0.000    1.507    0.745
##     RPD07              1.229    0.085   14.440    0.000    1.703    0.844
##     RPD08              1.164    0.087   13.447    0.000    1.613    0.800
##     RPD09              1.317    0.087   15.153    0.000    1.826    0.874
##     RPD10              1.346    0.088   15.258    0.000    1.866    0.878
##   relajacion =~                                                          
##     RRE02              1.000                               1.274    0.849
##     RRE03              1.120    0.065   17.227    0.000    1.427    0.870
##     RRE04              1.025    0.058   17.713    0.000    1.306    0.883
##     RRE05              1.055    0.056   18.758    0.000    1.344    0.910
##     RRE06              1.245    0.074   16.869    0.000    1.586    0.860
##     RRE07              1.117    0.071   15.689    0.000    1.423    0.825
##     RRE10              0.815    0.067   12.120    0.000    1.038    0.698
##   dominio =~                                                             
##     RMA02              1.000                               1.407    0.730
##     RMA03              1.155    0.096   12.079    0.000    1.626    0.800
##     RMA04              1.178    0.089   13.274    0.000    1.658    0.873
##     RMA05              1.141    0.087   13.072    0.000    1.606    0.861
##     RMA06              0.645    0.075    8.597    0.000    0.908    0.579
##     RMA07              1.103    0.084   13.061    0.000    1.552    0.860
##     RMA08              1.109    0.085   12.994    0.000    1.560    0.856
##     RMA09              1.028    0.084   12.246    0.000    1.447    0.810
##     RMA10              1.055    0.088   12.044    0.000    1.485    0.798
##   control_tiempo =~                                                      
##     RCO02              1.000                               1.630    0.854
##     RCO03              0.948    0.049   19.182    0.000    1.545    0.912
##     RCO04              0.796    0.044   18.110    0.000    1.297    0.886
##     RCO05              0.818    0.043   18.990    0.000    1.333    0.907
##     RCO06              0.834    0.046   18.216    0.000    1.360    0.888
##     RCO07              0.835    0.046   18.057    0.000    1.361    0.884
##   recuperacion =~                                                        
##     desapego           1.000                               0.713    0.713
##     relajacion         1.149    0.131    8.787    0.000    0.892    0.892
##     dominio            0.858    0.129    6.666    0.000    0.603    0.603
##     control_tiempo     1.341    0.156    8.605    0.000    0.813    0.813
## 
## Variances:
##                    Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
##    .RPD01             1.172    0.120    9.782    0.000    1.172    0.379
##    .RPD02             0.999    0.108    9.228    0.000    0.999    0.263
##    .RPD03             1.441    0.148    9.733    0.000    1.441    0.365
##    .RPD05             0.987    0.110    8.964    0.000    0.987    0.230
##    .RPD06             1.817    0.182    9.967    0.000    1.817    0.444
##    .RPD07             1.173    0.125    9.383    0.000    1.173    0.288
##    .RPD08             1.460    0.150    9.714    0.000    1.460    0.360
##    .RPD09             1.032    0.114    9.021    0.000    1.032    0.236
##    .RPD10             1.034    0.115    8.955    0.000    1.034    0.229
##    .RRE02             0.626    0.068    9.274    0.000    0.626    0.278
##    .RRE03             0.653    0.073    9.011    0.000    0.653    0.243
##    .RRE04             0.481    0.055    8.794    0.000    0.481    0.220
##    .RRE05             0.374    0.046    8.153    0.000    0.374    0.172
##    .RRE06             0.886    0.097    9.149    0.000    0.886    0.260
##    .RRE07             0.950    0.100    9.505    0.000    0.950    0.319
##    .RRE10             1.137    0.113   10.093    0.000    1.137    0.513
##    .RMA02             1.740    0.175    9.931    0.000    1.740    0.468
##    .RMA03             1.485    0.155    9.575    0.000    1.485    0.360
##    .RMA04             0.855    0.097    8.772    0.000    0.855    0.237
##    .RMA05             0.899    0.100    8.967    0.000    0.899    0.259
##    .RMA06             1.631    0.159   10.281    0.000    1.631    0.664
##    .RMA07             0.845    0.094    8.977    0.000    0.845    0.260
##    .RMA08             0.886    0.098    9.034    0.000    0.886    0.267
##    .RMA09             1.094    0.115    9.500    0.000    1.094    0.343
##    .RMA10             1.259    0.131    9.590    0.000    1.259    0.363
##    .RCO02             0.983    0.105    9.379    0.000    0.983    0.270
##    .RCO03             0.484    0.058    8.391    0.000    0.484    0.169
##    .RCO04             0.462    0.052    8.963    0.000    0.462    0.215
##    .RCO05             0.382    0.045    8.513    0.000    0.382    0.177
##    .RCO06             0.494    0.055    8.917    0.000    0.494    0.211
##    .RCO07             0.515    0.057    8.985    0.000    0.515    0.218
##    .desapego          0.943    0.152    6.207    0.000    0.491    0.491
##    .relajacion        0.333    0.089    3.757    0.000    0.205    0.205
##    .dominio           1.260    0.212    5.942    0.000    0.636    0.636
##    .control_tiempo    0.900    0.159    5.666    0.000    0.339    0.339
##     recuperacion      0.978    0.202    4.833    0.000    1.000    1.000
lavaanPlot(model = fit, coefs = TRUE, covs = TRUE)

Parte 2 Analisis Factorial Confirmatorio del constructo de energia recuperada

Estructura del modelo

modelo2 = ' # regresiones
           # Definciones de variables latentes
              energia =~ EN01+EN02+EN04+EN05+EN06+EN07+EN08
              
           # Second Order Factor recuperacion

           # Varianzas y covarianzas
           # Interceptos
         '

Analisis Factorial Confirmatorio (CFA)

fit2 = cfa(modelo2, 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)

Análisis de senderos para determinar el efecto mediador de la energía recuperada en el engagement laboral

Estructura del modelo

modelo3 = ' # regresiones
            # Definciones de variables latentes
              desapego =~ RPD01+RPD02+RPD03+RPD05+RPD06+RPD07+RPD08+RPD09+RPD10
              relajacion =~ RRE02+RRE03+RRE04+RRE05+RRE06+RRE07+RRE10
              dominio =~ RMA02+RMA03+RMA04+RMA05+RMA06+RMA07+RMA08+RMA09+RMA10
              control_tiempo =~ RCO02+RCO03+RCO04+RCO05+RCO06+RCO07
              
            # Second Order Factor recuperacion
              recuperacion =~ desapego + relajacion + dominio + control_tiempo

            # Definciones de variables latentes
              energia =~ EN01+EN02+EN04+EN05+EN06+EN07+EN08

            # Definciones de variables latentes
              vigor =~EVI01+EVI02+EVI03
              dedicacion =~ EDE01+EDE02+EDE03
              absorcion =~ EAB01+EAB02+EAB03 
              
           # Second Order Factor recuperacion
           engagement =~ vigor + dedicacion + absorcion
           
           # Third Order Factor ambiente
           ambiente =~ recuperacion+energia+engagement
           # Varianzas y covarianzas
           # Interceptos
         '

Analisis Factorial Confirmatorio (CFA)

fit3 = cfa(modelo3, bd)
summary(fit3,fit.measures=TRUE, standardized = TRUE)
## lavaan 0.6.14 ended normally after 67 iterations
## 
##   Estimator                                         ML
##   Optimization method                           NLMINB
##   Number of model parameters                       104
## 
##   Number of observations                           223
## 
## Model Test User Model:
##                                                       
##   Test statistic                              2501.954
##   Degrees of freedom                              1024
##   P-value (Chi-square)                           0.000
## 
## Model Test Baseline Model:
## 
##   Test statistic                             13350.303
##   Degrees of freedom                              1081
##   P-value                                        0.000
## 
## User Model versus Baseline Model:
## 
##   Comparative Fit Index (CFI)                    0.880
##   Tucker-Lewis Index (TLI)                       0.873
## 
## Loglikelihood and Information Criteria:
## 
##   Loglikelihood user model (H0)             -15454.903
##   Loglikelihood unrestricted model (H1)     -14203.926
##                                                       
##   Akaike (AIC)                               31117.805
##   Bayesian (BIC)                             31472.151
##   Sample-size adjusted Bayesian (SABIC)      31142.562
## 
## Root Mean Square Error of Approximation:
## 
##   RMSEA                                          0.080
##   90 Percent confidence interval - lower         0.076
##   90 Percent confidence interval - upper         0.084
##   P-value H_0: RMSEA <= 0.050                    0.000
##   P-value H_0: RMSEA >= 0.080                    0.578
## 
## Standardized Root Mean Square Residual:
## 
##   SRMR                                           0.074
## 
## 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 =~                                                            
##     RPD01              1.000                               1.387    0.789
##     RPD02              1.209    0.081   14.865    0.000    1.677    0.861
##     RPD03              1.144    0.085   13.419    0.000    1.587    0.798
##     RPD05              1.313    0.086   15.317    0.000    1.822    0.879
##     RPD06              1.082    0.089   12.214    0.000    1.501    0.742
##     RPD07              1.229    0.085   14.487    0.000    1.705    0.845
##     RPD08              1.157    0.086   13.375    0.000    1.604    0.796
##     RPD09              1.315    0.087   15.163    0.000    1.824    0.873
##     RPD10              1.343    0.088   15.247    0.000    1.863    0.877
##   relajacion =~                                                          
##     RRE02              1.000                               1.275    0.850
##     RRE03              1.120    0.065   17.296    0.000    1.429    0.871
##     RRE04              1.021    0.058   17.625    0.000    1.301    0.880
##     RRE05              1.051    0.056   18.687    0.000    1.341    0.908
##     RRE06              1.246    0.074   16.924    0.000    1.588    0.861
##     RRE07              1.121    0.071   15.838    0.000    1.430    0.829
##     RRE10              0.814    0.067   12.134    0.000    1.038    0.698
##   dominio =~                                                             
##     RMA02              1.000                               1.407    0.729
##     RMA03              1.152    0.096   12.041    0.000    1.621    0.798
##     RMA04              1.178    0.089   13.265    0.000    1.658    0.873
##     RMA05              1.141    0.087   13.057    0.000    1.605    0.860
##     RMA06              0.648    0.075    8.625    0.000    0.911    0.581
##     RMA07              1.104    0.085   13.062    0.000    1.553    0.861
##     RMA08              1.110    0.085   13.001    0.000    1.561    0.857
##     RMA09              1.030    0.084   12.257    0.000    1.448    0.811
##     RMA10              1.056    0.088   12.047    0.000    1.486    0.798
##   control_tiempo =~                                                      
##     RCO02              1.000                               1.632    0.855
##     RCO03              0.945    0.049   19.173    0.000    1.543    0.910
##     RCO04              0.794    0.044   18.100    0.000    1.295    0.884
##     RCO05              0.814    0.043   18.926    0.000    1.329    0.904
##     RCO06              0.837    0.045   18.407    0.000    1.365    0.892
##     RCO07              0.836    0.046   18.205    0.000    1.365    0.887
##   recuperacion =~                                                        
##     desapego           1.000                               0.711    0.711
##     relajacion         1.070    0.121    8.840    0.000    0.827    0.827
##     dominio            0.900    0.129    6.960    0.000    0.631    0.631
##     control_tiempo     1.423    0.157    9.063    0.000    0.860    0.860
##   energia =~                                                             
##     EN01               1.000                               1.678    0.896
##     EN02               1.027    0.044   23.415    0.000    1.723    0.933
##     EN04               0.998    0.044   22.871    0.000    1.675    0.925
##     EN05               0.996    0.042   23.836    0.000    1.671    0.939
##     EN06               0.983    0.041   23.857    0.000    1.649    0.939
##     EN07               1.045    0.045   22.964    0.000    1.753    0.926
##     EN08               1.033    0.042   24.398    0.000    1.733    0.946
##   vigor =~                                                               
##     EVI01              1.000                               1.684    0.967
##     EVI02              0.985    0.028   35.282    0.000    1.659    0.962
##     EVI03              0.996    0.048   20.546    0.000    1.677    0.836
##   dedicacion =~                                                          
##     EDE01              1.000                               1.868    0.952
##     EDE02              0.907    0.034   26.376    0.000    1.695    0.922
##     EDE03              0.571    0.037   15.539    0.000    1.066    0.754
##   absorcion =~                                                           
##     EAB01              1.000                               1.607    0.917
##     EAB02              0.711    0.051   13.823    0.000    1.143    0.752
##     EAB03              0.735    0.063   11.600    0.000    1.181    0.671
##   engagement =~                                                          
##     vigor              1.000                               0.901    0.901
##     dedicacion         1.213    0.061   19.812    0.000    0.985    0.985
##     absorcion          0.958    0.059   16.371    0.000    0.904    0.904
##   ambiente =~                                                            
##     recuperacion       1.000                               0.880    0.880
##     energia            1.814    0.225    8.058    0.000    0.938    0.938
##     engagement         1.186    0.160    7.402    0.000    0.678    0.678
## 
## Variances:
##                    Estimate  Std.Err  z-value  P(>|z|)   Std.lv  Std.all
##    .RPD01             1.168    0.119    9.781    0.000    1.168    0.378
##    .RPD02             0.983    0.107    9.202    0.000    0.983    0.259
##    .RPD03             1.434    0.147    9.729    0.000    1.434    0.363
##    .RPD05             0.972    0.109    8.938    0.000    0.972    0.227
##    .RPD06             1.836    0.184    9.980    0.000    1.836    0.449
##    .RPD07             1.165    0.124    9.377    0.000    1.165    0.286
##    .RPD08             1.486    0.153    9.740    0.000    1.486    0.366
##    .RPD09             1.037    0.115    9.036    0.000    1.037    0.238
##    .RPD10             1.046    0.116    8.984    0.000    1.046    0.232
##    .RRE02             0.623    0.067    9.252    0.000    0.623    0.277
##    .RRE03             0.647    0.072    8.976    0.000    0.647    0.241
##    .RRE04             0.492    0.056    8.829    0.000    0.492    0.225
##    .RRE05             0.384    0.047    8.203    0.000    0.384    0.176
##    .RRE06             0.880    0.097    9.122    0.000    0.880    0.259
##    .RRE07             0.930    0.098    9.460    0.000    0.930    0.313
##    .RRE10             1.136    0.113   10.087    0.000    1.136    0.513
##    .RMA02             1.741    0.175    9.935    0.000    1.741    0.468
##    .RMA03             1.499    0.156    9.594    0.000    1.499    0.363
##    .RMA04             0.857    0.098    8.785    0.000    0.857    0.238
##    .RMA05             0.903    0.101    8.983    0.000    0.903    0.260
##    .RMA06             1.626    0.158   10.280    0.000    1.626    0.662
##    .RMA07             0.844    0.094    8.979    0.000    0.844    0.259
##    .RMA08             0.882    0.098    9.031    0.000    0.882    0.266
##    .RMA09             1.090    0.115    9.498    0.000    1.090    0.342
##    .RMA10             1.257    0.131    9.592    0.000    1.257    0.363
##    .RCO02             0.978    0.104    9.391    0.000    0.978    0.269
##    .RCO03             0.493    0.058    8.474    0.000    0.493    0.172
##    .RCO04             0.468    0.052    9.016    0.000    0.468    0.218
##    .RCO05             0.393    0.046    8.621    0.000    0.393    0.182
##    .RCO06             0.479    0.054    8.884    0.000    0.479    0.205
##    .RCO07             0.505    0.056    8.972    0.000    0.505    0.213
##    .EN01              0.696    0.072    9.660    0.000    0.696    0.198
##    .EN02              0.443    0.049    9.064    0.000    0.443    0.130
##    .EN04              0.473    0.051    9.236    0.000    0.473    0.144
##    .EN05              0.378    0.042    8.907    0.000    0.378    0.119
##    .EN06              0.366    0.041    8.899    0.000    0.366    0.119
##    .EN07              0.507    0.055    9.209    0.000    0.507    0.142
##    .EN08              0.353    0.041    8.658    0.000    0.353    0.105
##    .EVI01             0.199    0.039    5.047    0.000    0.199    0.065
##    .EVI02             0.224    0.040    5.620    0.000    0.224    0.075
##    .EVI03             1.213    0.124    9.773    0.000    1.213    0.301
##    .EDE01             0.363    0.065    5.605    0.000    0.363    0.094
##    .EDE02             0.506    0.067    7.567    0.000    0.506    0.150
##    .EDE03             0.864    0.087    9.921    0.000    0.864    0.432
##    .EAB01             0.490    0.103    4.767    0.000    0.490    0.159
##    .EAB02             1.003    0.109    9.186    0.000    1.003    0.434
##    .EAB03             1.706    0.176    9.719    0.000    1.706    0.550
##    .desapego          0.952    0.149    6.396    0.000    0.495    0.495
##    .relajacion        0.514    0.085    6.023    0.000    0.316    0.316
##    .dominio           1.191    0.200    5.956    0.000    0.602    0.602
##    .control_tiempo    0.694    0.125    5.538    0.000    0.261    0.261
##    .recuperacion      0.219    0.073    3.021    0.003    0.226    0.226
##    .energia           0.339    0.168    2.015    0.044    0.120    0.120
##    .vigor             0.536    0.085    6.327    0.000    0.189    0.189
##    .dedicacion        0.102    0.090    1.142    0.253    0.029    0.029
##    .absorcion         0.472    0.112    4.233    0.000    0.183    0.183
##    .engagement        1.243    0.172    7.213    0.000    0.540    0.540
##     ambiente          0.753    0.172    4.381    0.000    1.000    1.000
lavaanPlot(model = fit3, coefs = TRUE, covs = TRUE)
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