N: 200
| questao13_1 | questao13_2 | questao13_3 | questao13_4 | |
|---|---|---|---|---|
| Mean | 2.62 | 2.49 | 2.13 | 2.42 |
| Std.Dev | 0.62 | 0.69 | 0.71 | 0.74 |
| Min | 1.00 | 1.00 | 1.00 | 1.00 |
| Q1 | 2.00 | 2.00 | 2.00 | 2.00 |
| Median | 3.00 | 2.50 | 2.00 | 2.00 |
| Q3 | 3.00 | 3.00 | 3.00 | 3.00 |
| Max | 4.00 | 4.00 | 4.00 | 4.00 |
| MAD | 1.48 | 0.74 | 0.00 | 1.48 |
| IQR | 1.00 | 1.00 | 1.00 | 1.00 |
| CV | 0.24 | 0.28 | 0.33 | 0.31 |
| Skewness | 0.33 | -0.06 | 0.40 | 0.20 |
| SE.Skewness | 0.17 | 0.17 | 0.17 | 0.17 |
| Kurtosis | -0.58 | -0.26 | 0.23 | -0.26 |
| N.Valid | 200.00 | 200.00 | 200.00 | 200.00 |
| Pct.Valid | 100.00 | 100.00 | 100.00 | 100.00 |
## lavaan 0.6-5 ended normally after 28 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of free parameters 22
##
## Number of observations 200
##
## Model Test User Model:
##
## Test statistic 170.340
## Degrees of freedom 44
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 1877.649
## Degrees of freedom 55
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.931
## Tucker-Lewis Index (TLI) 0.913
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.120
## 90 Percent confidence interval - lower 0.101
## 90 Percent confidence interval - upper 0.139
## P-value RMSEA <= 0.05 0.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.114
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Unstructured
## Standard errors Standard
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## f1 =~
## questao17_2 1.000 0.311 0.654
## questao17_3 1.094 0.085 12.935 0.000 0.341 0.761
## questao17_4 1.254 0.095 13.260 0.000 0.390 0.820
## questao17_5 0.970 0.080 12.180 0.000 0.302 0.702
## questao17_6 1.170 0.092 12.729 0.000 0.364 0.735
## questao17_7 1.326 0.103 12.823 0.000 0.413 0.675
## questao17_8 1.215 0.110 11.085 0.000 0.379 0.526
## questao17_9 1.181 0.110 10.713 0.000 0.368 0.466
## questao17_10 1.140 0.100 11.407 0.000 0.355 0.509
## questao17_11 1.032 0.090 11.433 0.000 0.321 0.537
## questao17_12 0.835 0.088 9.465 0.000 0.260 0.363
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .questao17_2 0.130 0.015 8.701 0.000 0.130 0.573
## .questao17_3 0.084 0.018 4.573 0.000 0.084 0.421
## .questao17_4 0.074 0.023 3.245 0.001 0.074 0.328
## .questao17_5 0.094 0.024 3.865 0.000 0.094 0.507
## .questao17_6 0.113 0.025 4.504 0.000 0.113 0.459
## .questao17_7 0.204 0.035 5.783 0.000 0.204 0.545
## .questao17_8 0.374 0.047 8.035 0.000 0.374 0.723
## .questao17_9 0.487 0.071 6.815 0.000 0.487 0.782
## .questao17_10 0.360 0.047 7.589 0.000 0.360 0.741
## .questao17_11 0.254 0.032 7.838 0.000 0.254 0.711
## .questao17_12 0.447 0.056 7.909 0.000 0.447 0.868
## f1 0.097 0.011 9.072 0.000 1.000 1.000
## f1 total
## alpha 0.8572688 0.8572688
## omega 0.8466839 0.8466839
## omega2 0.8466839 0.8466839
## omega3 0.8072993 0.8072993
## avevar 0.3375274 0.3375274
##
##
## ANOVA results using conhecimento_soma as the dependent variable
##
##
## Predictor SS df MS F p partial_eta2
## (Intercept) 6313.37 1 6313.37 773.50 .000
## factor(sexo) 0.65 1 0.65 0.08 .779 .00
## factor(curso_categ) 39.58 2 19.79 2.42 .092 .03
## factor(orient_polit_categ) 23.40 1 23.40 2.87 .092 .02
## factor(sabe_sobre_a_cnv) 3.87 1 3.87 0.47 .492 .00
## Error 1248.80 153 8.16
## CI_90_partial_eta2
##
## [.00, .02]
## [.00, .08]
## [.00, .07]
## [.00, .03]
##
##
## Note: Values in square brackets indicate the bounds of the 90% confidence interval for partial eta-squared
síntese: escala ok
N: 200
| questao10_1 | questao10_2 | questao10_3 | questao10_4 | questao10_5 | |
|---|---|---|---|---|---|
| Mean | 1.51 | 3.06 | 1.44 | 2.65 | 1.52 |
| Std.Dev | 1.02 | 1.44 | 0.85 | 1.25 | 0.97 |
| Min | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| Q1 | 1.00 | 2.00 | 1.00 | 2.00 | 1.00 |
| Median | 1.00 | 4.00 | 1.00 | 3.00 | 1.00 |
| Q3 | 1.00 | 4.00 | 1.50 | 4.00 | 2.00 |
| Max | 5.00 | 5.00 | 4.00 | 5.00 | 5.00 |
| MAD | 0.00 | 1.48 | 0.00 | 1.48 | 0.00 |
| IQR | 0.00 | 2.00 | 0.25 | 2.00 | 1.00 |
| CV | 0.68 | 0.47 | 0.60 | 0.47 | 0.64 |
| Skewness | 1.90 | -0.22 | 1.89 | 0.10 | 1.88 |
| SE.Skewness | 0.17 | 0.17 | 0.17 | 0.17 | 0.17 |
| Kurtosis | 2.31 | -1.43 | 2.39 | -1.26 | 2.58 |
| N.Valid | 200.00 | 200.00 | 200.00 | 199.00 | 200.00 |
| Pct.Valid | 100.00 | 100.00 | 100.00 | 99.50 | 100.00 |
| questao10_6 | questao10_7 | questao10_8 | |
|---|---|---|---|
| Mean | 3.27 | 1.18 | 1.35 |
| Std.Dev | 1.27 | 0.53 | 0.81 |
| Min | 1.00 | 1.00 | 1.00 |
| Q1 | 2.00 | 1.00 | 1.00 |
| Median | 4.00 | 1.00 | 1.00 |
| Q3 | 4.00 | 1.00 | 1.00 |
| Max | 5.00 | 5.00 | 5.00 |
| MAD | 1.48 | 0.00 | 0.00 |
| IQR | 2.00 | 0.00 | 0.00 |
| CV | 0.39 | 0.45 | 0.60 |
| Skewness | -0.36 | 3.86 | 2.41 |
| SE.Skewness | 0.17 | 0.17 | 0.17 |
| Kurtosis | -1.14 | 17.92 | 5.03 |
| N.Valid | 200.00 | 200.00 | 200.00 |
| Pct.Valid | 100.00 | 100.00 | 100.00 |
## lavaan 0.6-5 ended normally after 43 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of free parameters 17
##
## Used Total
## Number of observations 199 200
##
## Model Test User Model:
##
## Test statistic 28.298
## Degrees of freedom 19
## P-value (Chi-square) 0.078
##
## Model Test Baseline Model:
##
## Test statistic 323.256
## Degrees of freedom 28
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.969
## Tucker-Lewis Index (TLI) 0.954
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.050
## 90 Percent confidence interval - lower 0.000
## 90 Percent confidence interval - upper 0.086
## P-value RMSEA <= 0.05 0.467
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.069
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Unstructured
## Standard errors Standard
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## f1 =~
## questao10_1 1.000 0.668 0.652
## questao10_3 1.144 0.210 5.454 0.000 0.764 0.893
## questao10_5 0.932 0.172 5.431 0.000 0.622 0.639
## questao10_7 0.415 0.086 4.847 0.000 0.277 0.517
## questao10_8 0.887 0.169 5.252 0.000 0.592 0.727
## f2 =~
## questao10_2 1.000 1.288 0.896
## questao10_4 0.588 0.169 3.467 0.001 0.757 0.606
## questao10_6 0.386 0.108 3.590 0.000 0.497 0.390
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## f1 ~~
## f2 0.154 0.039 3.954 0.000 0.179 0.179
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .questao10_1 0.603 0.191 3.161 0.002 0.603 0.575
## .questao10_3 0.149 0.171 0.869 0.385 0.149 0.203
## .questao10_5 0.560 0.172 3.256 0.001 0.560 0.591
## .questao10_7 0.210 0.094 2.246 0.025 0.210 0.733
## .questao10_8 0.313 0.153 2.049 0.040 0.313 0.472
## .questao10_2 0.409 0.527 0.775 0.438 0.409 0.198
## .questao10_4 0.988 0.206 4.804 0.000 0.988 0.633
## .questao10_6 1.381 0.140 9.855 0.000 1.381 0.848
## f1 0.446 0.112 3.966 0.000 1.000 1.000
## f2 1.658 0.515 3.221 0.001 1.000 1.000
## f1 f2 total
## alpha 0.8090168 0.6646599 0.6730485
## omega 0.8231697 0.6993383 0.7929815
## omega2 0.8231697 0.6993383 0.7929815
## omega3 0.8192565 0.6845480 0.8129552
## avevar 0.5011440 0.4715273 0.4837221
síntese: escala ok (emoçoes negativas marginais)
N: 200
| questao15_1 | questao15_2 | questao15_3 | questao15_4 | questao15_5 | |
|---|---|---|---|---|---|
| Mean | 2.23 | 4.49 | 1.85 | 3.33 | 1.80 |
| Std.Dev | 1.03 | 0.65 | 0.82 | 1.02 | 0.88 |
| Min | 1.00 | 2.00 | 1.00 | 1.00 | 1.00 |
| Q1 | 1.00 | 4.00 | 1.00 | 3.00 | 1.00 |
| Median | 2.00 | 5.00 | 2.00 | 3.00 | 2.00 |
| Q3 | 3.00 | 5.00 | 2.00 | 4.00 | 2.00 |
| Max | 5.00 | 5.00 | 5.00 | 5.00 | 5.00 |
| MAD | 1.48 | 0.00 | 1.48 | 1.48 | 1.48 |
| IQR | 2.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| CV | 0.46 | 0.14 | 0.44 | 0.31 | 0.49 |
| Skewness | 0.66 | -1.20 | 0.77 | -0.46 | 1.23 |
| SE.Skewness | 0.17 | 0.17 | 0.17 | 0.17 | 0.17 |
| Kurtosis | -0.21 | 1.65 | 0.36 | -0.19 | 1.47 |
| N.Valid | 200.00 | 200.00 | 200.00 | 200.00 | 200.00 |
| Pct.Valid | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 |
| questao15_6 | questao15_7 | questao15_8 | |
|---|---|---|---|
| Mean | 1.96 | 3.40 | 4.41 |
| Std.Dev | 0.83 | 0.98 | 0.72 |
| Min | 1.00 | 1.00 | 1.00 |
| Q1 | 1.00 | 3.00 | 4.00 |
| Median | 2.00 | 3.00 | 5.00 |
| Q3 | 2.00 | 4.00 | 5.00 |
| Max | 5.00 | 5.00 | 5.00 |
| MAD | 1.48 | 1.48 | 0.00 |
| IQR | 1.00 | 1.00 | 1.00 |
| CV | 0.42 | 0.29 | 0.16 |
| Skewness | 0.82 | -0.37 | -1.33 |
| SE.Skewness | 0.17 | 0.17 | 0.17 |
| Kurtosis | 0.91 | -0.17 | 2.48 |
| N.Valid | 200.00 | 200.00 | 200.00 |
| Pct.Valid | 100.00 | 100.00 | 100.00 |
## lavaan 0.6-5 ended normally after 33 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of free parameters 17
##
## Number of observations 200
##
## Model Test User Model:
##
## Test statistic 16.037
## Degrees of freedom 19
## P-value (Chi-square) 0.655
##
## Model Test Baseline Model:
##
## Test statistic 246.206
## Degrees of freedom 28
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 1.000
## Tucker-Lewis Index (TLI) 1.020
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.000
## 90 Percent confidence interval - lower 0.000
## 90 Percent confidence interval - upper 0.051
## P-value RMSEA <= 0.05 0.944
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.052
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Unstructured
## Standard errors Standard
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## f1 =~
## questao15_1 1.000 0.501 0.484
## questao15_3 1.337 0.268 4.997 0.000 0.670 0.818
## questao15_5 0.803 0.172 4.669 0.000 0.402 0.458
## questao15_6 0.699 0.147 4.742 0.000 0.350 0.423
## f2 =~
## questao15_2 1.000 0.401 0.617
## questao15_4 0.977 0.239 4.092 0.000 0.392 0.385
## questao15_7 1.103 0.249 4.432 0.000 0.442 0.450
## questao15_8 0.933 0.195 4.777 0.000 0.374 0.517
##
## Covariances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## f1 ~~
## f2 -0.122 0.025 -4.830 0.000 -0.606 -0.606
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .questao15_1 0.819 0.123 6.647 0.000 0.819 0.765
## .questao15_3 0.222 0.127 1.742 0.081 0.222 0.331
## .questao15_5 0.609 0.113 5.384 0.000 0.609 0.790
## .questao15_6 0.564 0.092 6.151 0.000 0.564 0.821
## .questao15_2 0.261 0.073 3.597 0.000 0.261 0.619
## .questao15_4 0.883 0.113 7.785 0.000 0.883 0.852
## .questao15_7 0.770 0.112 6.899 0.000 0.770 0.798
## .questao15_8 0.384 0.089 4.335 0.000 0.384 0.733
## f1 0.251 0.069 3.621 0.000 1.000 1.000
## f2 0.161 0.045 3.596 0.000 1.000 1.000
## f1 f2 total
## alpha 0.6140056 0.5627097 0.1827325
## omega 0.6255779 0.5297487 0.3600161
## omega2 0.6255779 0.5297487 0.3600161
## omega3 0.6239756 0.5075887 0.3469508
## avevar 0.3077554 0.2204061 0.2658593
N: 200
| questao17_10 | questao17_11 | questao17_12 | questao17_2 | questao17_3 | |
|---|---|---|---|---|---|
| Mean | 1.90 | 1.56 | 1.78 | 1.34 | 1.27 |
| Std.Dev | 0.70 | 0.60 | 0.72 | 0.48 | 0.45 |
| Min | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| Q1 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| Median | 2.00 | 2.00 | 2.00 | 1.00 | 1.00 |
| Q3 | 2.00 | 2.00 | 2.00 | 2.00 | 2.00 |
| Max | 4.00 | 3.00 | 4.00 | 2.00 | 2.00 |
| MAD | 0.00 | 1.48 | 0.74 | 0.00 | 0.00 |
| IQR | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| CV | 0.37 | 0.38 | 0.40 | 0.35 | 0.35 |
| Skewness | 0.32 | 0.52 | 0.67 | 0.65 | 1.00 |
| SE.Skewness | 0.17 | 0.17 | 0.17 | 0.17 | 0.17 |
| Kurtosis | -0.34 | -0.66 | 0.28 | -1.59 | -1.00 |
| N.Valid | 200.00 | 200.00 | 200.00 | 200.00 | 200.00 |
| Pct.Valid | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 |
| questao17_4 | questao17_5 | questao17_6 | questao17_7 | questao17_8 | |
|---|---|---|---|---|---|
| Mean | 1.31 | 1.23 | 1.34 | 1.66 | 1.75 |
| Std.Dev | 0.48 | 0.43 | 0.50 | 0.61 | 0.72 |
| Min | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| Q1 | 1.00 | 1.00 | 1.00 | 1.00 | 1.00 |
| Median | 1.00 | 1.00 | 1.00 | 2.00 | 2.00 |
| Q3 | 2.00 | 1.00 | 2.00 | 2.00 | 2.00 |
| Max | 3.00 | 3.00 | 3.00 | 3.00 | 4.00 |
| MAD | 0.00 | 0.00 | 0.00 | 0.00 | 1.48 |
| IQR | 1.00 | 0.00 | 1.00 | 1.00 | 1.00 |
| CV | 0.36 | 0.35 | 0.37 | 0.37 | 0.41 |
| Skewness | 0.93 | 1.49 | 0.92 | 0.34 | 0.48 |
| SE.Skewness | 0.17 | 0.17 | 0.17 | 0.17 | 0.17 |
| Kurtosis | -0.78 | 0.76 | -0.59 | -0.69 | -0.68 |
| N.Valid | 200.00 | 200.00 | 200.00 | 200.00 | 200.00 |
| Pct.Valid | 100.00 | 100.00 | 100.00 | 100.00 | 100.00 |
| questao17_9 | |
|---|---|
| Mean | 1.68 |
| Std.Dev | 0.79 |
| Min | 1.00 |
| Q1 | 1.00 |
| Median | 2.00 |
| Q3 | 2.00 |
| Max | 4.00 |
| MAD | 1.48 |
| IQR | 1.00 |
| CV | 0.47 |
| Skewness | 1.00 |
| SE.Skewness | 0.17 |
| Kurtosis | 0.41 |
| N.Valid | 200.00 |
| Pct.Valid | 100.00 |
## lavaan 0.6-5 ended normally after 28 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of free parameters 22
##
## Number of observations 200
##
## Model Test User Model:
##
## Test statistic 170.340
## Degrees of freedom 44
## P-value (Chi-square) 0.000
##
## Model Test Baseline Model:
##
## Test statistic 1877.649
## Degrees of freedom 55
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 0.931
## Tucker-Lewis Index (TLI) 0.913
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.120
## 90 Percent confidence interval - lower 0.101
## 90 Percent confidence interval - upper 0.139
## P-value RMSEA <= 0.05 0.000
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.114
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Unstructured
## Standard errors Standard
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## f1 =~
## questao17_2 1.000 0.311 0.654
## questao17_3 1.094 0.085 12.935 0.000 0.341 0.761
## questao17_4 1.254 0.095 13.260 0.000 0.390 0.820
## questao17_5 0.970 0.080 12.180 0.000 0.302 0.702
## questao17_6 1.170 0.092 12.729 0.000 0.364 0.735
## questao17_7 1.326 0.103 12.823 0.000 0.413 0.675
## questao17_8 1.215 0.110 11.085 0.000 0.379 0.526
## questao17_9 1.181 0.110 10.713 0.000 0.368 0.466
## questao17_10 1.140 0.100 11.407 0.000 0.355 0.509
## questao17_11 1.032 0.090 11.433 0.000 0.321 0.537
## questao17_12 0.835 0.088 9.465 0.000 0.260 0.363
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .questao17_2 0.130 0.015 8.701 0.000 0.130 0.573
## .questao17_3 0.084 0.018 4.573 0.000 0.084 0.421
## .questao17_4 0.074 0.023 3.245 0.001 0.074 0.328
## .questao17_5 0.094 0.024 3.865 0.000 0.094 0.507
## .questao17_6 0.113 0.025 4.504 0.000 0.113 0.459
## .questao17_7 0.204 0.035 5.783 0.000 0.204 0.545
## .questao17_8 0.374 0.047 8.035 0.000 0.374 0.723
## .questao17_9 0.487 0.071 6.815 0.000 0.487 0.782
## .questao17_10 0.360 0.047 7.589 0.000 0.360 0.741
## .questao17_11 0.254 0.032 7.838 0.000 0.254 0.711
## .questao17_12 0.447 0.056 7.909 0.000 0.447 0.868
## f1 0.097 0.011 9.072 0.000 1.000 1.000
## f1 total
## alpha 0.8572688 0.8572688
## omega 0.8466839 0.8466839
## omega2 0.8466839 0.8466839
## omega3 0.8072993 0.8072993
## avevar 0.3375274 0.3375274
N: 200
| questao11 | questao14_1 | questao14_2 | questao22_1 | |
|---|---|---|---|---|
| Mean | 3.31 | 3.88 | 1.40 | 1.14 |
| Std.Dev | 0.88 | 0.36 | 0.66 | 0.34 |
| Min | 1.00 | 2.00 | 1.00 | 1.00 |
| Q1 | 3.00 | 4.00 | 1.00 | 1.00 |
| Median | 3.50 | 4.00 | 1.00 | 1.00 |
| Q3 | 4.00 | 4.00 | 2.00 | 1.00 |
| Max | 5.00 | 4.00 | 4.00 | 2.00 |
| MAD | 0.74 | 0.00 | 0.00 | 0.00 |
| IQR | 1.00 | 0.00 | 1.00 | 0.00 |
| CV | 0.26 | 0.09 | 0.47 | 0.30 |
| Skewness | -0.46 | -2.87 | 1.46 | 2.12 |
| SE.Skewness | 0.17 | 0.17 | 0.17 | 0.17 |
| Kurtosis | -0.63 | 7.96 | 1.22 | 2.51 |
| N.Valid | 200.00 | 200.00 | 200.00 | 200.00 |
| Pct.Valid | 100.00 | 100.00 | 100.00 | 100.00 |
## lavaan 0.6-5 ended normally after 30 iterations
##
## Estimator DWLS
## Optimization method NLMINB
## Number of free parameters 8
##
## Number of observations 200
##
## Model Test User Model:
##
## Test statistic 0.636
## Degrees of freedom 2
## P-value (Chi-square) 0.728
##
## Model Test Baseline Model:
##
## Test statistic 38.161
## Degrees of freedom 6
## P-value 0.000
##
## User Model versus Baseline Model:
##
## Comparative Fit Index (CFI) 1.000
## Tucker-Lewis Index (TLI) 1.127
##
## Root Mean Square Error of Approximation:
##
## RMSEA 0.000
## 90 Percent confidence interval - lower 0.000
## 90 Percent confidence interval - upper 0.100
## P-value RMSEA <= 0.05 0.822
##
## Standardized Root Mean Square Residual:
##
## SRMR 0.019
##
## Parameter Estimates:
##
## Information Expected
## Information saturated (h1) model Unstructured
## Standard errors Standard
##
## Latent Variables:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## f1 =~
## questao11 1.000 0.148 0.169
## questao14_1 -1.666 0.818 -2.037 0.042 -0.247 -0.686
## questao14_2 2.824 1.353 2.087 0.037 0.419 0.637
## questao22_1 1.099 0.515 2.135 0.033 0.163 0.476
##
## Variances:
## Estimate Std.Err z-value P(>|z|) Std.lv Std.all
## .questao11 0.746 0.066 11.283 0.000 0.746 0.971
## .questao14_1 0.069 0.042 1.628 0.104 0.069 0.530
## .questao14_2 0.257 0.103 2.491 0.013 0.257 0.594
## .questao22_1 0.091 0.023 4.019 0.000 0.091 0.773
## f1 0.022 0.017 1.293 0.196 1.000 1.000
## f1 total
## alpha -0.03968438 -0.03968438
## omega 0.16745394 0.16745394
## omega2 0.16745394 0.16745394
## omega3 0.16627619 0.16627619
## avevar 0.19720335 0.19720335
síntese: baixa consistência