PAQUETES Y DATOS
knitr::opts_chunk$set(echo = TRUE)
library(haven)
library(MVN)
## Registered S3 method overwritten by 'GGally':
## method from
## +.gg ggplot2
## sROC 0.1-2 loaded
library(lavaan)
## This is lavaan 0.6-7
## lavaan is BETA software! Please report any bugs.
library(dplyr)
##
## Attaching package: 'dplyr'
## The following objects are masked from 'package:stats':
##
## filter, lag
## The following objects are masked from 'package:base':
##
## intersect, setdiff, setequal, union
############# DATOS - BASE TALIS #############
data <- read_sas("btgchlt3.sas7bdat")
############# PROFESORES - TALIS #############
#"T3DISC","T3STUD", "T3STAKE"
talis <- data[c(
"TT3G41A", "TT3G41B","TT3G41C", "TT3G41D",
"TT3G49A", "TT3G49B","TT3G49C", "TT3G49D",
"TT3G48A","TT3G48B","TT3G48C","TT3G48D","TT3G48E",
#"T3WELS","T3WLOAD", "T3STBEH"
"TT3G51A", "TT3G51B","TT3G51C", "TT3G51D",
"TT3G52A", "TT3G52B","TT3G52C", "TT3G52D", "TT3G52E",
"TT3G52F","TT3G52G","TT3G52H",
#"T3JSENV","T3JSPRO", "T3SATAT"
"TT3G53C", "TT3G53E","TT3G53G", "TT3G53J",
"TT3G53A", "TT3G53B","TT3G53D", "TT3G53F",
"TT3G40A","TT3G40B","TT3G40C","TT3G40D","TT3G40E")]
RECODIFICACIÓN
##### CLIMA ESCOLAR #####
# T3DISC
talis$TT3G41A <- recode(talis$TT3G41A,`1`="4",`2`="3",`3`="2",`4`="1")
talis$TT3G41A <- as.numeric(talis$TT3G41A)
talis$TT3G41C <- recode(talis$TT3G41C,`1`="4",`2`="3",`3`="2",`4`="1")
talis$TT3G41C <- as.numeric(talis$TT3G41C)
talis$TT3G41D <- recode(talis$TT3G41D,`1`="4",`2`="3",`3`="2",`4`="1")
talis$TT3G41D <- as.numeric(talis$TT3G41D)
##### STRESS y BIENESTAR LABORAL #####
#WELS
talis$TT3G51B <- recode(talis$TT3G51B,`1`="4",`2`="3",`3`="2",`4`="1")
talis$TT3G51B <- as.numeric(talis$TT3G51B)
##### SATISFACCIÓN LABORAL #####
#T3JSENV
talis$TT3G53C <- recode(talis$TT3G53C,`1`="4",`2`="3",`3`="2",`4`="1")
talis$TT3G53C <- as.numeric(talis$TT3G53C)
#T3JSPRO
talis$TT3G53D <- recode(talis$TT3G53D,`1`="4",`2`="3",`3`="2",`4`="1")
talis$TT3G53D <- as.numeric(talis$TT3G53D)
talis$TT3G53F <- recode(talis$TT3G53F,`1`="4",`2`="3",`3`="2",`4`="1")
talis$TT3G53F <- as.numeric(talis$TT3G53F)
NORMALIDAD DE LOS DATOS
mvn(talis)
## $multivariateNormality
## Test Statistic p value Result
## 1 Mardia Skewness 21465.4744703372 0 NO
## 2 Mardia Kurtosis 77.3768134773053 0 NO
## 3 MVN <NA> <NA> NO
##
## $univariateNormality
## Test Variable Statistic p value Normality
## 1 Shapiro-Wilk TT3G41A 0.8789 <0.001 NO
## 2 Shapiro-Wilk TT3G41B 0.8517 <0.001 NO
## 3 Shapiro-Wilk TT3G41C 0.8709 <0.001 NO
## 4 Shapiro-Wilk TT3G41D 0.8722 <0.001 NO
## 5 Shapiro-Wilk TT3G49A 0.7004 <0.001 NO
## 6 Shapiro-Wilk TT3G49B 0.6647 <0.001 NO
## 7 Shapiro-Wilk TT3G49C 0.7904 <0.001 NO
## 8 Shapiro-Wilk TT3G49D 0.7802 <0.001 NO
## 9 Shapiro-Wilk TT3G48A 0.8719 <0.001 NO
## 10 Shapiro-Wilk TT3G48B 0.8675 <0.001 NO
## 11 Shapiro-Wilk TT3G48C 0.8692 <0.001 NO
## 12 Shapiro-Wilk TT3G48D 0.8617 <0.001 NO
## 13 Shapiro-Wilk TT3G48E 0.8410 <0.001 NO
## 14 Shapiro-Wilk TT3G51A 0.8629 <0.001 NO
## 15 Shapiro-Wilk TT3G51B 0.7971 <0.001 NO
## 16 Shapiro-Wilk TT3G51C 0.8072 <0.001 NO
## 17 Shapiro-Wilk TT3G51D 0.7899 <0.001 NO
## 18 Shapiro-Wilk TT3G52A 0.8771 <0.001 NO
## 19 Shapiro-Wilk TT3G52B 0.8719 <0.001 NO
## 20 Shapiro-Wilk TT3G52C 0.8701 <0.001 NO
## 21 Shapiro-Wilk TT3G52D 0.8735 <0.001 NO
## 22 Shapiro-Wilk TT3G52E 0.8449 <0.001 NO
## 23 Shapiro-Wilk TT3G52F 0.8748 <0.001 NO
## 24 Shapiro-Wilk TT3G52G 0.8788 <0.001 NO
## 25 Shapiro-Wilk TT3G52H 0.6746 <0.001 NO
## 26 Shapiro-Wilk TT3G53C 0.8152 <0.001 NO
## 27 Shapiro-Wilk TT3G53E 0.7365 <0.001 NO
## 28 Shapiro-Wilk TT3G53G 0.7979 <0.001 NO
## 29 Shapiro-Wilk TT3G53J 0.7401 <0.001 NO
## 30 Shapiro-Wilk TT3G53A 0.8526 <0.001 NO
## 31 Shapiro-Wilk TT3G53B 0.7955 <0.001 NO
## 32 Shapiro-Wilk TT3G53D 0.6668 <0.001 NO
## 33 Shapiro-Wilk TT3G53F 0.8220 <0.001 NO
## 34 Shapiro-Wilk TT3G40A 0.7272 <0.001 NO
## 35 Shapiro-Wilk TT3G40B 0.7062 <0.001 NO
## 36 Shapiro-Wilk TT3G40C 0.7036 <0.001 NO
## 37 Shapiro-Wilk TT3G40D 0.7654 <0.001 NO
## 38 Shapiro-Wilk TT3G40E 0.8353 <0.001 NO
##
## $Descriptives
## n Mean Std.Dev Median Min Max 25th 75th Skew
## TT3G41A 1302 2.609831 0.9244290 3 1 4 2 3.00 -0.12765699
## TT3G41B 1302 2.709677 0.7852689 3 1 4 2 3.00 -0.28771839
## TT3G41C 1302 2.697389 0.8664784 3 1 4 2 3.00 -0.22570659
## TT3G41D 1302 2.699693 0.8677233 3 1 4 2 3.00 -0.18481366
## TT3G49A 1302 3.439324 0.5753765 3 1 4 3 4.00 -0.66956717
## TT3G49B 1302 3.578341 0.5678480 4 1 4 3 4.00 -1.15234763
## TT3G49C 1302 3.232719 0.6793802 3 1 4 3 4.00 -0.51593877
## TT3G49D 1302 3.264209 0.7658708 3 1 4 3 4.00 -0.94867776
## TT3G48A 1302 2.505376 0.9058111 3 1 4 2 3.00 -0.16789670
## TT3G48B 1302 2.612135 0.8550291 3 1 4 2 3.00 -0.23628007
## TT3G48C 1302 2.455453 0.8458954 3 1 4 2 3.00 -0.09640946
## TT3G48D 1302 2.578341 0.8361129 3 1 4 2 3.00 -0.25607383
## TT3G48E 1302 2.777266 0.8277504 3 1 4 2 3.00 -0.50915108
## TT3G51A 1302 2.598310 0.8996183 2 1 4 2 3.00 0.14792473
## TT3G51B 1302 2.769585 0.6930397 3 1 4 2 3.00 -0.54483848
## TT3G51C 1302 1.901690 0.8755876 2 1 4 1 2.00 0.86431229
## TT3G51D 1302 1.814132 0.8531805 2 1 4 1 2.00 0.97257254
## TT3G52A 1302 2.378648 0.9137797 2 1 4 2 3.00 0.17344989
## TT3G52B 1302 2.373272 1.0263964 2 1 4 2 3.00 0.16583921
## TT3G52C 1302 2.622120 1.0418170 3 1 4 2 3.75 -0.12426527
## TT3G52D 1302 2.576805 1.0283527 3 1 4 2 3.00 -0.05197981
## TT3G52E 1302 2.199693 1.0702029 2 1 4 1 3.00 0.42042211
## TT3G52F 1302 2.655914 0.9910629 3 1 4 2 3.00 -0.13246663
## TT3G52G 1302 2.450077 0.9795193 2 1 4 2 3.00 0.09305318
## TT3G52H 1302 1.572197 0.8831472 1 1 4 1 2.00 1.47322584
## TT3G53C 1302 3.103687 0.9274208 3 1 4 3 4.00 -0.76115975
## TT3G53E 1302 3.359447 0.7731957 4 1 4 3 4.00 -1.26475582
## TT3G53G 1302 3.175115 0.8409548 3 1 4 3 4.00 -0.91219982
## TT3G53J 1302 3.384793 0.6323455 3 1 4 3 4.00 -0.78281103
## TT3G53A 1302 2.830261 0.8203258 3 1 4 2 3.00 -0.40462612
## TT3G53B 1302 3.179724 0.8931995 3 1 4 3 4.00 -0.91526578
## TT3G53D 1302 3.527650 0.7253532 4 1 4 3 4.00 -1.58145241
## TT3G53F 1302 3.045315 0.9724595 3 1 4 2 4.00 -0.60163706
## TT3G40A 1302 3.362519 0.7855786 4 1 4 3 4.00 -1.33269251
## TT3G40B 1302 3.414747 0.6630913 3 1 4 3 4.00 -1.21873997
## TT3G40C 1302 3.423195 0.6512682 3 1 4 3 4.00 -1.19074752
## TT3G40D 1302 3.268817 0.7218528 3 1 4 3 4.00 -0.95562153
## TT3G40E 1302 2.907066 1.0185652 3 1 4 2 4.00 -0.58991088
## Kurtosis
## TT3G41A -0.82990550
## TT3G41B -0.26439242
## TT3G41C -0.60597275
## TT3G41D -0.64879969
## TT3G49A 0.83003488
## TT3G49B 1.42448154
## TT3G49C -0.02876592
## TT3G49D 0.69334667
## TT3G48A -0.78706122
## TT3G48B -0.55609536
## TT3G48C -0.63470896
## TT3G48D -0.50295231
## TT3G48E -0.14596278
## TT3G51A -0.87163937
## TT3G51B 0.46798175
## TT3G51C 0.16898029
## TT3G51D 0.42497695
## TT3G52A -0.77615249
## TT3G52B -1.10913579
## TT3G52C -1.16856920
## TT3G52D -1.14551272
## TT3G52E -1.08222470
## TT3G52F -1.04237139
## TT3G52G -0.99724650
## TT3G52H 1.17160772
## TT3G53C -0.36241122
## TT3G53E 1.46069881
## TT3G53G 0.33587611
## TT3G53J 0.78026568
## TT3G53A -0.27421035
## TT3G53B 0.04080722
## TT3G53D 2.15271837
## TT3G53F -0.79075775
## TT3G40A 1.62670035
## TT3G40B 2.28617033
## TT3G40C 2.27347136
## TT3G40D 1.14834952
## TT3G40E -0.76993558
MODELOS CONFIRMATORIOS
############# CLIMA ESCOLAR #############
Clima <- '
T3DISC =~ TT3G41A + TT3G41B + TT3G41C + TT3G41D
T3STUD =~ TT3G49A + TT3G49B + TT3G49C + TT3G49D
T3STAKE =~ TT3G48A + TT3G48B + TT3G48C + TT3G48D + TT3G48E
Clima =~ T3DISC+T3STUD+T3STAKE'
fit1 <- cfa(Clima,std.lv= T, estimator = "MLR",meanstructure=T ,data = talis)
summary(fit1,fit.measures=TRUE, standardized=T, rsquare= T)
## lavaan 0.6-7 ended normally after 44 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 42
##
## Used Total
## Number of observations 1374 1963
##
## Model Test User Model:
## Standard Robust
## Test Statistic 520.974 442.315
## Degrees of freedom 62 62
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.178
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 8575.786 6621.601
## Degrees of freedom 78 78
## P-value 0.000 0.000
## Scaling correction factor 1.295
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.946 0.942
## Tucker-Lewis Index (TLI) 0.932 0.927
##
## Robust Comparative Fit Index (CFI) 0.947
## Robust Tucker-Lewis Index (TLI) 0.934
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -17013.882 -17013.882
## Scaling correction factor 1.273
## for the MLR correction
## Loglikelihood unrestricted model (H1) -16753.396 -16753.396
## Scaling correction factor 1.216
## for the MLR correction
##
## Akaike (AIC) 34111.765 34111.765
## Bayesian (BIC) 34331.235 34331.235
## Sample-size adjusted Bayesian (BIC) 34197.818 34197.818
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.073 0.067
## 90 Percent confidence interval - lower 0.068 0.061
## 90 Percent confidence interval - upper 0.079 0.072
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.073
## 90 Percent confidence interval - lower 0.066
## 90 Percent confidence interval - upper 0.079
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.061 0.061
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## T3DISC =~
## TT3G41A 0.691 0.021 32.631 0.000 0.722 0.783
## TT3G41B 0.389 0.022 17.433 0.000 0.406 0.518
## TT3G41C 0.756 0.020 38.431 0.000 0.790 0.913
## TT3G41D 0.697 0.020 35.309 0.000 0.727 0.842
## T3STUD =~
## TT3G49A 0.280 0.039 7.201 0.000 0.404 0.688
## TT3G49B 0.325 0.045 7.216 0.000 0.468 0.813
## TT3G49C 0.353 0.046 7.747 0.000 0.508 0.745
## TT3G49D 0.285 0.039 7.399 0.000 0.411 0.532
## T3STAKE =~
## TT3G48A 0.650 0.030 22.001 0.000 0.748 0.824
## TT3G48B 0.567 0.030 19.058 0.000 0.652 0.764
## TT3G48C 0.628 0.030 21.067 0.000 0.723 0.850
## TT3G48D 0.571 0.027 20.908 0.000 0.656 0.786
## TT3G48E 0.488 0.026 19.020 0.000 0.561 0.679
## Clima =~
## T3DISC 0.300 0.052 5.761 0.000 0.288 0.288
## T3STUD 1.038 0.252 4.120 0.000 0.720 0.720
## T3STAKE 0.568 0.095 5.993 0.000 0.494 0.494
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .TT3G41A 2.608 0.025 104.859 0.000 2.608 2.829
## .TT3G41B 2.708 0.021 128.237 0.000 2.708 3.460
## .TT3G41C 2.694 0.023 115.431 0.000 2.694 3.114
## .TT3G41D 2.705 0.023 116.010 0.000 2.705 3.130
## .TT3G49A 3.434 0.016 216.825 0.000 3.434 5.849
## .TT3G49B 3.574 0.016 229.997 0.000 3.574 6.205
## .TT3G49C 3.233 0.018 175.658 0.000 3.233 4.739
## .TT3G49D 3.256 0.021 156.447 0.000 3.256 4.221
## .TT3G48A 2.507 0.024 102.478 0.000 2.507 2.765
## .TT3G48B 2.619 0.023 113.656 0.000 2.619 3.066
## .TT3G48C 2.461 0.023 107.272 0.000 2.461 2.894
## .TT3G48D 2.582 0.023 114.576 0.000 2.582 3.091
## .TT3G48E 2.779 0.022 124.683 0.000 2.779 3.364
## .T3DISC 0.000 0.000 0.000
## .T3STUD 0.000 0.000 0.000
## .T3STAKE 0.000 0.000 0.000
## Clima 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .TT3G41A 0.329 0.022 15.029 0.000 0.329 0.387
## .TT3G41B 0.448 0.023 19.211 0.000 0.448 0.731
## .TT3G41C 0.124 0.015 8.372 0.000 0.124 0.166
## .TT3G41D 0.218 0.017 12.658 0.000 0.218 0.291
## .TT3G49A 0.182 0.012 15.450 0.000 0.182 0.527
## .TT3G49B 0.113 0.009 12.168 0.000 0.113 0.339
## .TT3G49C 0.207 0.013 15.607 0.000 0.207 0.445
## .TT3G49D 0.427 0.027 15.676 0.000 0.427 0.717
## .TT3G48A 0.263 0.018 14.485 0.000 0.263 0.320
## .TT3G48B 0.304 0.021 14.185 0.000 0.304 0.417
## .TT3G48C 0.200 0.017 12.089 0.000 0.200 0.277
## .TT3G48D 0.267 0.018 14.628 0.000 0.267 0.382
## .TT3G48E 0.368 0.020 18.595 0.000 0.368 0.538
## .T3DISC 1.000 0.917 0.917
## .T3STUD 1.000 0.481 0.481
## .T3STAKE 1.000 0.756 0.756
## Clima 1.000 1.000 1.000
##
## R-Square:
## Estimate
## TT3G41A 0.613
## TT3G41B 0.269
## TT3G41C 0.834
## TT3G41D 0.709
## TT3G49A 0.473
## TT3G49B 0.661
## TT3G49C 0.555
## TT3G49D 0.283
## TT3G48A 0.680
## TT3G48B 0.583
## TT3G48C 0.723
## TT3G48D 0.618
## TT3G48E 0.462
## T3DISC 0.083
## T3STUD 0.519
## T3STAKE 0.244
############# STRESS LABORAL #############
Stress <- '
T3WELS =~ TT3G51A + TT3G51B + TT3G51C + TT3G51D
T3WLOAD =~ TT3G52A + TT3G52B + TT3G52C + TT3G52D +TT3G52E
T3STBEH =~ TT3G52F + TT3G52G + TT3G52H
Stress =~ T3WELS+T3WLOAD+T3STBEH'
fit2 <- cfa(Stress,std.lv= T, estimator = "MLR",meanstructure=T ,data = talis)
summary(fit2,fit.measures=TRUE, standardized=T, rsquare= T)
## lavaan 0.6-7 ended normally after 43 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 39
##
## Used Total
## Number of observations 1894 1963
##
## Model Test User Model:
## Standard Robust
## Test Statistic 705.842 612.837
## Degrees of freedom 51 51
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.152
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 8435.963 6981.437
## Degrees of freedom 66 66
## P-value 0.000 0.000
## Scaling correction factor 1.208
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.922 0.919
## Tucker-Lewis Index (TLI) 0.899 0.895
##
## Robust Comparative Fit Index (CFI) 0.923
## Robust Tucker-Lewis Index (TLI) 0.900
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -26933.562 -26933.562
## Scaling correction factor 1.070
## for the MLR correction
## Loglikelihood unrestricted model (H1) -26580.640 -26580.640
## Scaling correction factor 1.116
## for the MLR correction
##
## Akaike (AIC) 53945.123 53945.123
## Bayesian (BIC) 54161.435 54161.435
## Sample-size adjusted Bayesian (BIC) 54037.532 54037.532
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.082 0.076
## 90 Percent confidence interval - lower 0.077 0.071
## 90 Percent confidence interval - upper 0.088 0.081
## P-value RMSEA <= 0.05 0.000 0.000
##
## Robust RMSEA 0.082
## 90 Percent confidence interval - lower 0.076
## 90 Percent confidence interval - upper 0.088
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.050 0.050
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## T3WELS =~
## TT3G51A 0.478 0.014 33.519 0.000 0.642 0.712
## TT3G51B 0.177 0.014 12.436 0.000 0.238 0.341
## TT3G51C 0.591 0.020 29.427 0.000 0.794 0.896
## TT3G51D 0.538 0.019 27.712 0.000 0.722 0.842
## T3WLOAD =~
## TT3G52A 0.302 0.026 11.588 0.000 0.621 0.685
## TT3G52B 0.374 0.032 11.787 0.000 0.769 0.758
## TT3G52C 0.370 0.032 11.690 0.000 0.761 0.734
## TT3G52D 0.312 0.025 12.670 0.000 0.641 0.618
## TT3G52E 0.267 0.021 12.509 0.000 0.549 0.512
## T3STBEH =~
## TT3G52F 0.316 0.036 8.699 0.000 0.726 0.721
## TT3G52G 0.288 0.035 8.132 0.000 0.661 0.664
## TT3G52H 0.190 0.025 7.487 0.000 0.437 0.477
## Stress =~
## T3WELS 0.896 0.053 16.866 0.000 0.667 0.667
## T3WLOAD 1.796 0.185 9.691 0.000 0.874 0.874
## T3STBEH 2.066 0.286 7.233 0.000 0.900 0.900
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .TT3G51A 2.595 0.021 125.197 0.000 2.595 2.877
## .TT3G51B 2.772 0.016 173.222 0.000 2.772 3.980
## .TT3G51C 1.901 0.020 93.346 0.000 1.901 2.145
## .TT3G51D 1.820 0.020 92.384 0.000 1.820 2.123
## .TT3G52A 2.348 0.021 112.688 0.000 2.348 2.589
## .TT3G52B 2.328 0.023 99.874 0.000 2.328 2.295
## .TT3G52C 2.559 0.024 107.319 0.000 2.559 2.466
## .TT3G52D 2.610 0.024 109.476 0.000 2.610 2.516
## .TT3G52E 2.240 0.025 90.954 0.000 2.240 2.090
## .TT3G52F 2.651 0.023 114.579 0.000 2.651 2.633
## .TT3G52G 2.444 0.023 106.923 0.000 2.444 2.457
## .TT3G52H 1.619 0.021 76.951 0.000 1.619 1.768
## .T3WELS 0.000 0.000 0.000
## .T3WLOAD 0.000 0.000 0.000
## .T3STBEH 0.000 0.000 0.000
## Stress 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .TT3G51A 0.401 0.016 25.689 0.000 0.401 0.493
## .TT3G51B 0.429 0.017 24.555 0.000 0.429 0.883
## .TT3G51C 0.155 0.013 12.019 0.000 0.155 0.198
## .TT3G51D 0.214 0.014 15.016 0.000 0.214 0.291
## .TT3G52A 0.437 0.020 21.402 0.000 0.437 0.531
## .TT3G52B 0.438 0.022 19.615 0.000 0.438 0.425
## .TT3G52C 0.497 0.024 20.444 0.000 0.497 0.462
## .TT3G52D 0.665 0.027 24.742 0.000 0.665 0.618
## .TT3G52E 0.847 0.029 29.274 0.000 0.847 0.738
## .TT3G52F 0.487 0.026 18.434 0.000 0.487 0.481
## .TT3G52G 0.553 0.027 20.419 0.000 0.553 0.559
## .TT3G52H 0.648 0.025 25.418 0.000 0.648 0.773
## .T3WELS 1.000 0.554 0.554
## .T3WLOAD 1.000 0.237 0.237
## .T3STBEH 1.000 0.190 0.190
## Stress 1.000 1.000 1.000
##
## R-Square:
## Estimate
## TT3G51A 0.507
## TT3G51B 0.117
## TT3G51C 0.802
## TT3G51D 0.709
## TT3G52A 0.469
## TT3G52B 0.575
## TT3G52C 0.538
## TT3G52D 0.382
## TT3G52E 0.262
## TT3G52F 0.519
## TT3G52G 0.441
## TT3G52H 0.227
## T3WELS 0.446
## T3WLOAD 0.763
## T3STBEH 0.810
############# SATISFACCIÓN LABORAL #############
Satisfacción <- '
T3JSENV =~ TT3G53C+TT3G53E+TT3G53G+TT3G53J
T3JSPRO =~ TT3G53A+TT3G53B+TT3G53D+TT3G53F
T3SATAT =~ TT3G40A+ TT3G40B+TT3G40C+TT3G40D+TT3G40E
Satisfacción =~ T3JSENV+T3JSPRO+T3SATAT'
fit3 <- cfa(Satisfacción,std.lv= T, estimator = "MLR",meanstructure=T ,data = talis)
summary(fit3,fit.measures=TRUE, standardized=T, rsquare= T)
## lavaan 0.6-7 ended normally after 42 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 42
##
## Used Total
## Number of observations 1376 1963
##
## Model Test User Model:
## Standard Robust
## Test Statistic 319.138 260.332
## Degrees of freedom 62 62
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.226
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 6341.209 4509.942
## Degrees of freedom 78 78
## P-value 0.000 0.000
## Scaling correction factor 1.406
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.959 0.955
## Tucker-Lewis Index (TLI) 0.948 0.944
##
## Robust Comparative Fit Index (CFI) 0.961
## Robust Tucker-Lewis Index (TLI) 0.951
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -18218.793 -18218.793
## Scaling correction factor 1.540
## for the MLR correction
## Loglikelihood unrestricted model (H1) -18059.224 -18059.224
## Scaling correction factor 1.353
## for the MLR correction
##
## Akaike (AIC) 36521.586 36521.586
## Bayesian (BIC) 36741.118 36741.118
## Sample-size adjusted Bayesian (BIC) 36607.701 36607.701
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.055 0.048
## 90 Percent confidence interval - lower 0.049 0.043
## 90 Percent confidence interval - upper 0.061 0.054
## P-value RMSEA <= 0.05 0.084 0.695
##
## Robust RMSEA 0.053
## 90 Percent confidence interval - lower 0.047
## 90 Percent confidence interval - upper 0.060
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.044 0.044
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## T3JSENV =~
## TT3G53C 0.477 0.056 8.450 0.000 0.630 0.680
## TT3G53E 0.423 0.053 7.943 0.000 0.559 0.727
## TT3G53G 0.498 0.061 8.116 0.000 0.658 0.786
## TT3G53J 0.240 0.030 8.050 0.000 0.317 0.504
## T3JSPRO =~
## TT3G53A 0.329 0.044 7.473 0.000 0.448 0.546
## TT3G53B 0.481 0.066 7.301 0.000 0.655 0.737
## TT3G53D 0.377 0.050 7.572 0.000 0.514 0.714
## TT3G53F 0.573 0.074 7.709 0.000 0.782 0.809
## T3SATAT =~
## TT3G40A 0.535 0.026 20.318 0.000 0.546 0.688
## TT3G40B 0.574 0.023 24.542 0.000 0.586 0.873
## TT3G40C 0.558 0.024 23.405 0.000 0.570 0.864
## TT3G40D 0.467 0.026 18.131 0.000 0.477 0.658
## TT3G40E 0.393 0.029 13.647 0.000 0.400 0.396
## Satisfacción =~
## T3JSENV 0.864 0.228 3.782 0.000 0.654 0.654
## T3JSPRO 0.926 0.252 3.672 0.000 0.680 0.680
## T3SATAT 0.200 0.041 4.850 0.000 0.197 0.197
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .TT3G53C 3.099 0.025 124.206 0.000 3.099 3.348
## .TT3G53E 3.360 0.021 162.143 0.000 3.360 4.371
## .TT3G53G 3.177 0.023 140.759 0.000 3.177 3.795
## .TT3G53J 3.387 0.017 199.740 0.000 3.387 5.385
## .TT3G53A 2.834 0.022 128.068 0.000 2.834 3.452
## .TT3G53B 3.182 0.024 132.814 0.000 3.182 3.580
## .TT3G53D 3.531 0.019 182.015 0.000 3.531 4.907
## .TT3G53F 3.049 0.026 117.070 0.000 3.049 3.156
## .TT3G40A 3.354 0.021 156.947 0.000 3.354 4.231
## .TT3G40B 3.408 0.018 188.273 0.000 3.408 5.075
## .TT3G40C 3.416 0.018 192.176 0.000 3.416 5.181
## .TT3G40D 3.266 0.020 167.174 0.000 3.266 4.507
## .TT3G40E 2.909 0.027 106.618 0.000 2.909 2.874
## .T3JSENV 0.000 0.000 0.000
## .T3JSPRO 0.000 0.000 0.000
## .T3SATAT 0.000 0.000 0.000
## Satisfacción 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .TT3G53C 0.460 0.030 15.139 0.000 0.460 0.537
## .TT3G53E 0.279 0.031 8.939 0.000 0.279 0.472
## .TT3G53G 0.268 0.026 10.164 0.000 0.268 0.382
## .TT3G53J 0.295 0.016 18.568 0.000 0.295 0.746
## .TT3G53A 0.473 0.022 21.095 0.000 0.473 0.702
## .TT3G53B 0.360 0.028 12.741 0.000 0.360 0.456
## .TT3G53D 0.254 0.024 10.641 0.000 0.254 0.490
## .TT3G53F 0.323 0.025 12.800 0.000 0.323 0.346
## .TT3G40A 0.331 0.025 13.084 0.000 0.331 0.526
## .TT3G40B 0.107 0.013 8.209 0.000 0.107 0.238
## .TT3G40C 0.110 0.014 8.169 0.000 0.110 0.254
## .TT3G40D 0.298 0.019 15.659 0.000 0.298 0.568
## .TT3G40E 0.864 0.034 25.066 0.000 0.864 0.844
## .T3JSENV 1.000 0.572 0.572
## .T3JSPRO 1.000 0.538 0.538
## .T3SATAT 1.000 0.961 0.961
## Satisfacción 1.000 1.000 1.000
##
## R-Square:
## Estimate
## TT3G53C 0.463
## TT3G53E 0.528
## TT3G53G 0.618
## TT3G53J 0.254
## TT3G53A 0.298
## TT3G53B 0.544
## TT3G53D 0.510
## TT3G53F 0.654
## TT3G40A 0.474
## TT3G40B 0.762
## TT3G40C 0.746
## TT3G40D 0.432
## TT3G40E 0.156
## T3JSENV 0.428
## T3JSPRO 0.462
## T3SATAT 0.039
MODELO ESTRUCTURAL
modelo_estructural <- '
T3DISC =~ TT3G41A + TT3G41B + TT3G41C + TT3G41D
T3STUD =~ TT3G49A + TT3G49B + TT3G49C + TT3G49D
T3STAKE =~ TT3G48A + TT3G48B + TT3G48C + TT3G48D + TT3G48E
T3WELS =~ TT3G51A + TT3G51B + TT3G51C + TT3G51D
T3WLOAD =~ TT3G52A + TT3G52B + TT3G52C + TT3G52D +TT3G52E
T3STBEH =~ TT3G52F + TT3G52G + TT3G52H
T3JSENV =~ TT3G53C+TT3G53E+TT3G53G+TT3G53J
T3JSPRO =~ TT3G53A+TT3G53B+TT3G53D+TT3G53F
T3SATAT =~ TT3G40A+ TT3G40B+TT3G40C+TT3G40D+TT3G40E
Clima =~ T3DISC+T3STUD+T3STAKE
Stress =~ T3WELS+T3WLOAD+T3STBEH
Satisfacción =~ T3JSENV+T3JSPRO+T3SATAT
Satisfacción ~ Clima+Stress
Clima ~~ Stress'
fit4 <- sem(modelo_estructural,std.lv= T, estimator = "MLR",meanstructure=T ,data = talis)
summary(fit4,fit.measures=TRUE, standardized=T, rsquare= T)
## lavaan 0.6-7 ended normally after 97 iterations
##
## Estimator ML
## Optimization method NLMINB
## Number of free parameters 126
##
## Used Total
## Number of observations 1302 1963
##
## Model Test User Model:
## Standard Robust
## Test Statistic 2696.931 2405.775
## Degrees of freedom 653 653
## P-value (Chi-square) 0.000 0.000
## Scaling correction factor 1.121
## Yuan-Bentler correction (Mplus variant)
##
## Model Test Baseline Model:
##
## Test statistic 21497.004 18425.277
## Degrees of freedom 703 703
## P-value 0.000 0.000
## Scaling correction factor 1.167
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.902 0.901
## Tucker-Lewis Index (TLI) 0.894 0.894
##
## Robust Comparative Fit Index (CFI) 0.905
## Robust Tucker-Lewis Index (TLI) 0.898
##
## Loglikelihood and Information Criteria:
##
## Loglikelihood user model (H0) -51635.926 -51635.926
## Scaling correction factor 1.311
## for the MLR correction
## Loglikelihood unrestricted model (H1) -50287.461 -50287.461
## Scaling correction factor 1.152
## for the MLR correction
##
## Akaike (AIC) 103523.852 103523.852
## Bayesian (BIC) 104175.481 104175.481
## Sample-size adjusted Bayesian (BIC) 103775.239 103775.239
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.049 0.045
## 90 Percent confidence interval - lower 0.047 0.044
## 90 Percent confidence interval - upper 0.051 0.047
## P-value RMSEA <= 0.05 0.794 1.000
##
## Robust RMSEA 0.048
## 90 Percent confidence interval - lower 0.046
## 90 Percent confidence interval - upper 0.050
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.063 0.063
##
## Parameter Estimates:
##
## Standard errors Sandwich
## Information bread Observed
## Observed information based on Hessian
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## T3DISC =~
## TT3G41A 0.679 0.021 31.727 0.000 0.723 0.782
## TT3G41B 0.389 0.022 17.657 0.000 0.415 0.528
## TT3G41C 0.743 0.020 36.650 0.000 0.791 0.914
## TT3G41D 0.684 0.020 34.462 0.000 0.729 0.840
## T3STUD =~
## TT3G49A 0.317 0.022 14.734 0.000 0.392 0.681
## TT3G49B 0.370 0.024 15.423 0.000 0.456 0.804
## TT3G49C 0.404 0.020 19.939 0.000 0.498 0.734
## TT3G49D 0.323 0.020 16.440 0.000 0.399 0.521
## T3STAKE =~
## TT3G48A 0.598 0.023 25.858 0.000 0.745 0.823
## TT3G48B 0.523 0.026 20.217 0.000 0.652 0.763
## TT3G48C 0.570 0.025 22.547 0.000 0.711 0.841
## TT3G48D 0.525 0.022 24.357 0.000 0.655 0.784
## TT3G48E 0.457 0.020 23.386 0.000 0.569 0.688
## T3WELS =~
## TT3G51A 0.421 0.022 19.554 0.000 0.631 0.702
## TT3G51B 0.170 0.016 10.667 0.000 0.255 0.368
## TT3G51C 0.524 0.029 18.251 0.000 0.787 0.899
## TT3G51D 0.471 0.027 17.179 0.000 0.707 0.829
## T3WLOAD =~
## TT3G52A 0.358 0.028 12.702 0.000 0.606 0.664
## TT3G52B 0.451 0.034 13.249 0.000 0.764 0.745
## TT3G52C 0.444 0.034 12.971 0.000 0.752 0.722
## TT3G52D 0.385 0.027 14.342 0.000 0.652 0.634
## TT3G52E 0.325 0.023 14.081 0.000 0.551 0.515
## T3STBEH =~
## TT3G52F 0.319 0.042 7.600 0.000 0.695 0.702
## TT3G52G 0.284 0.043 6.672 0.000 0.619 0.632
## TT3G52H 0.174 0.029 5.961 0.000 0.379 0.429
## T3JSENV =~
## TT3G53C 0.352 0.045 7.797 0.000 0.640 0.690
## TT3G53E 0.300 0.041 7.278 0.000 0.544 0.704
## TT3G53G 0.370 0.048 7.738 0.000 0.672 0.800
## TT3G53J 0.175 0.023 7.546 0.000 0.318 0.502
## T3JSPRO =~
## TT3G53A 0.389 0.020 19.913 0.000 0.457 0.557
## TT3G53B 0.563 0.027 20.777 0.000 0.662 0.741
## TT3G53D 0.445 0.023 19.500 0.000 0.523 0.721
## TT3G53F 0.672 0.027 24.846 0.000 0.789 0.812
## T3SATAT =~
## TT3G40A 0.520 0.027 19.081 0.000 0.531 0.676
## TT3G40B 0.564 0.024 23.187 0.000 0.576 0.869
## TT3G40C 0.546 0.024 22.359 0.000 0.557 0.856
## TT3G40D 0.456 0.027 17.172 0.000 0.466 0.645
## TT3G40E 0.388 0.030 12.988 0.000 0.396 0.389
## Clima =~
## T3DISC 0.366 0.050 7.270 0.000 0.344 0.344
## T3STUD 0.723 0.079 9.118 0.000 0.586 0.586
## T3STAKE 0.745 0.070 10.568 0.000 0.597 0.597
## Stress =~
## T3WELS 1.119 0.100 11.218 0.000 0.746 0.746
## T3WLOAD 1.369 0.140 9.807 0.000 0.807 0.807
## T3STBEH 1.937 0.320 6.045 0.000 0.889 0.889
## Satisfacción =~
## T3JSENV 0.627 0.229 2.739 0.006 0.835 0.835
## T3JSPRO 0.255 0.069 3.685 0.000 0.525 0.525
## T3SATAT 0.085 0.025 3.480 0.001 0.202 0.202
##
## Regressions:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Satisfacción ~
## Clima 1.993 0.622 3.207 0.001 0.824 0.824
## Stress -0.367 0.190 -1.931 0.053 -0.152 -0.152
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## Clima ~~
## Stress -0.506 0.054 -9.334 0.000 -0.506 -0.506
##
## Intercepts:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .TT3G41A 2.610 0.026 101.909 0.000 2.610 2.824
## .TT3G41B 2.710 0.022 124.558 0.000 2.710 3.452
## .TT3G41C 2.697 0.024 112.372 0.000 2.697 3.114
## .TT3G41D 2.700 0.024 112.307 0.000 2.700 3.112
## .TT3G49A 3.439 0.016 215.771 0.000 3.439 5.980
## .TT3G49B 3.578 0.016 227.469 0.000 3.578 6.304
## .TT3G49C 3.233 0.019 171.762 0.000 3.233 4.760
## .TT3G49D 3.264 0.021 153.849 0.000 3.264 4.264
## .TT3G48A 2.505 0.025 99.841 0.000 2.505 2.767
## .TT3G48B 2.612 0.024 110.278 0.000 2.612 3.056
## .TT3G48C 2.455 0.023 104.782 0.000 2.455 2.904
## .TT3G48D 2.578 0.023 111.313 0.000 2.578 3.085
## .TT3G48E 2.777 0.023 121.113 0.000 2.777 3.356
## .TT3G51A 2.598 0.025 104.257 0.000 2.598 2.889
## .TT3G51B 2.770 0.019 144.254 0.000 2.770 3.998
## .TT3G51C 1.902 0.024 78.399 0.000 1.902 2.173
## .TT3G51D 1.814 0.024 76.754 0.000 1.814 2.127
## .TT3G52A 2.379 0.025 93.964 0.000 2.379 2.604
## .TT3G52B 2.373 0.028 83.465 0.000 2.373 2.313
## .TT3G52C 2.622 0.029 90.852 0.000 2.622 2.518
## .TT3G52D 2.577 0.028 90.451 0.000 2.577 2.507
## .TT3G52E 2.200 0.030 74.194 0.000 2.200 2.056
## .TT3G52F 2.656 0.027 96.735 0.000 2.656 2.681
## .TT3G52G 2.450 0.027 90.290 0.000 2.450 2.502
## .TT3G52H 1.572 0.024 64.261 0.000 1.572 1.781
## .TT3G53C 3.104 0.026 120.802 0.000 3.104 3.348
## .TT3G53E 3.359 0.021 156.838 0.000 3.359 4.347
## .TT3G53G 3.175 0.023 136.288 0.000 3.175 3.777
## .TT3G53J 3.385 0.018 193.219 0.000 3.385 5.355
## .TT3G53A 2.830 0.023 124.541 0.000 2.830 3.451
## .TT3G53B 3.180 0.025 128.503 0.000 3.180 3.561
## .TT3G53D 3.528 0.020 175.553 0.000 3.528 4.865
## .TT3G53F 3.045 0.027 113.040 0.000 3.045 3.133
## .TT3G40A 3.363 0.022 154.507 0.000 3.363 4.282
## .TT3G40B 3.415 0.018 185.891 0.000 3.415 5.152
## .TT3G40C 3.423 0.018 189.734 0.000 3.423 5.258
## .TT3G40D 3.269 0.020 163.461 0.000 3.269 4.530
## .TT3G40E 2.907 0.028 103.024 0.000 2.907 2.855
## .T3DISC 0.000 0.000 0.000
## .T3STUD 0.000 0.000 0.000
## .T3STAKE 0.000 0.000 0.000
## .T3WELS 0.000 0.000 0.000
## .T3WLOAD 0.000 0.000 0.000
## .T3STBEH 0.000 0.000 0.000
## .T3JSENV 0.000 0.000 0.000
## .T3JSPRO 0.000 0.000 0.000
## .T3SATAT 0.000 0.000 0.000
## Clima 0.000 0.000 0.000
## Stress 0.000 0.000 0.000
## .Satisfacción 0.000 0.000 0.000
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .TT3G41A 0.331 0.022 14.972 0.000 0.331 0.388
## .TT3G41B 0.444 0.024 18.695 0.000 0.444 0.721
## .TT3G41C 0.124 0.015 8.110 0.000 0.124 0.165
## .TT3G41D 0.221 0.018 12.374 0.000 0.221 0.294
## .TT3G49A 0.177 0.011 15.521 0.000 0.177 0.536
## .TT3G49B 0.114 0.009 12.187 0.000 0.114 0.354
## .TT3G49C 0.213 0.014 15.736 0.000 0.213 0.462
## .TT3G49D 0.427 0.028 15.118 0.000 0.427 0.728
## .TT3G48A 0.265 0.018 14.352 0.000 0.265 0.323
## .TT3G48B 0.305 0.022 13.813 0.000 0.305 0.418
## .TT3G48C 0.209 0.017 12.105 0.000 0.209 0.292
## .TT3G48D 0.270 0.019 14.506 0.000 0.270 0.386
## .TT3G48E 0.360 0.020 17.786 0.000 0.360 0.527
## .TT3G51A 0.410 0.019 21.989 0.000 0.410 0.507
## .TT3G51B 0.415 0.020 20.360 0.000 0.415 0.865
## .TT3G51C 0.147 0.016 9.294 0.000 0.147 0.192
## .TT3G51D 0.228 0.018 12.560 0.000 0.228 0.313
## .TT3G52A 0.467 0.026 18.160 0.000 0.467 0.559
## .TT3G52B 0.469 0.028 16.560 0.000 0.469 0.445
## .TT3G52C 0.519 0.030 17.036 0.000 0.519 0.478
## .TT3G52D 0.631 0.032 19.589 0.000 0.631 0.598
## .TT3G52E 0.840 0.035 23.913 0.000 0.840 0.734
## .TT3G52F 0.498 0.033 14.989 0.000 0.498 0.507
## .TT3G52G 0.576 0.034 16.956 0.000 0.576 0.600
## .TT3G52H 0.636 0.032 19.582 0.000 0.636 0.816
## .TT3G53C 0.450 0.029 15.301 0.000 0.450 0.523
## .TT3G53E 0.301 0.032 9.444 0.000 0.301 0.504
## .TT3G53G 0.254 0.026 9.643 0.000 0.254 0.360
## .TT3G53J 0.299 0.017 17.987 0.000 0.299 0.748
## .TT3G53A 0.464 0.023 20.287 0.000 0.464 0.689
## .TT3G53B 0.359 0.029 12.473 0.000 0.359 0.450
## .TT3G53D 0.253 0.024 10.604 0.000 0.253 0.481
## .TT3G53F 0.322 0.026 12.524 0.000 0.322 0.341
## .TT3G40A 0.335 0.026 12.769 0.000 0.335 0.543
## .TT3G40B 0.108 0.014 7.910 0.000 0.108 0.245
## .TT3G40C 0.113 0.014 8.071 0.000 0.113 0.267
## .TT3G40D 0.304 0.020 15.330 0.000 0.304 0.583
## .TT3G40E 0.880 0.036 24.493 0.000 0.880 0.849
## .T3DISC 1.000 0.882 0.882
## .T3STUD 1.000 0.656 0.656
## .T3STAKE 1.000 0.643 0.643
## .T3WELS 1.000 0.444 0.444
## .T3WLOAD 1.000 0.348 0.348
## .T3STBEH 1.000 0.211 0.211
## .T3JSENV 1.000 0.303 0.303
## .T3JSPRO 1.000 0.724 0.724
## .T3SATAT 1.000 0.959 0.959
## Clima 1.000 1.000 1.000
## Stress 1.000 1.000 1.000
## .Satisfacción 1.000 0.171 0.171
##
## R-Square:
## Estimate
## TT3G41A 0.612
## TT3G41B 0.279
## TT3G41C 0.835
## TT3G41D 0.706
## TT3G49A 0.464
## TT3G49B 0.646
## TT3G49C 0.538
## TT3G49D 0.272
## TT3G48A 0.677
## TT3G48B 0.582
## TT3G48C 0.708
## TT3G48D 0.614
## TT3G48E 0.473
## TT3G51A 0.493
## TT3G51B 0.135
## TT3G51C 0.808
## TT3G51D 0.687
## TT3G52A 0.441
## TT3G52B 0.555
## TT3G52C 0.522
## TT3G52D 0.402
## TT3G52E 0.266
## TT3G52F 0.493
## TT3G52G 0.400
## TT3G52H 0.184
## TT3G53C 0.477
## TT3G53E 0.496
## TT3G53G 0.640
## TT3G53J 0.252
## TT3G53A 0.311
## TT3G53B 0.550
## TT3G53D 0.519
## TT3G53F 0.659
## TT3G40A 0.457
## TT3G40B 0.755
## TT3G40C 0.733
## TT3G40D 0.417
## TT3G40E 0.151
## T3DISC 0.118
## T3STUD 0.344
## T3STAKE 0.357
## T3WELS 0.556
## T3WLOAD 0.652
## T3STBEH 0.789
## T3JSENV 0.697
## T3JSPRO 0.276
## T3SATAT 0.041
## Satisfacción 0.829