Table 1.
Model | χ2 | df | p | RMSEA | SRMR | CFI | Model Comparison | ΔRMSEA | ΔSRMR | ΔCFI |
---|---|---|---|---|---|---|---|---|---|---|
Authentic leadership | ||||||||||
M1. Configural invariance | 565.324 | 177 | <0.001 | 0.055 | 0.042 | 0.936 | - | - | - | - |
M2. Metric invariance | 595.747 | 195 | <0.001 | 0.053 | 0.044 | 0.934 | M2 vs. M1 | 0.002 | 0.002 | 0.002 |
M 3. Scalar invariance | 902.881 | 221 | <0.001 | 0.065 | 0.116 | 0.887 | M3 vs. M2 | 0.012 | 0.072 | 0.047 |
M 4. Partial scalar invariance | 565.324 | 177 | <0.001 | 0.064 | 0.116 | 0.893 | M4 vs. M2 | 0.011 | 0.072 | 0.041 |
Personal initiative | ||||||||||
M1. Configural invariance | 185.559 | 42 | <0.001 | 0.069 | 0.050 | 0.934 | - | - | - | - |
M2. Metric invariance | 218.633 | 54 | <0.001 | 0.065 | 0.066 | 0.924 | M2 vs. M1 | 0.004 | 0.016 | 0.010 |
M 3. Scalar invariance | 450.180 | 68 | <0.001 | 0.088 | 0.071 | 0.824 | M3 vs. M2 | 0.023 | 0.005 | 0.100 |
M 4. Partial scalar invariance | 185.559 | 42 | <0.001 | 0.088 | 0.069 | 0.828 | M4 vs. M2 | 0.023 | 0.003 | 0.096 |
Work engagement | ||||||||||
M1. Configural invariance | 259.246 | 72 | <0.001 | 0.060 | 0.040 | 0.957 | - | - | - | - |
M2. Metric invariance | 314.451 | 84 | <0.001 | 0.061 | 0.067 | 0.947 | M2 vs. M1 | 0.001 | 0.027 | 0.010 |
M 3. Scalar invariance | 648.429 | 102 | <0.001 | 0.086 | 0.074 | 0.874 | M3 vs. M2 | 0.019 | 0.007 | 0.073 |
M 4. Partial scalar invariance | 259.246 | 72 | <0.001 | 0.085 | 0.075 | 0.880 | M4 vs. M2 | 0.024 | 0.008 | 0.067 |
Innovative behaviour | ||||||||||
M1. Configural invariance | 43.56 | 18 | 0.001 | 0.045 | 0.028 | 0.992 | - | - | - | - |
M2. Metric invariance | 68.24 | 28 | 0.001 | 0.045 | 0.048 | 0.987 | M2 vs. M1 | 0.000 | 0.021 | 0.005 |
M3. Scalar invariance | 76.269 | 30 | 0.001 | 0.047 | 0.062 | 0.985 | M3 vs. M2 | 0.002 | 0.013 | 0.002 |
Note. RMSEA = Root Mean Square Error of Approximation; SRMR = Standardized Root Mean Square Residual; CFI = Comparative Fit Index. To evaluate the model fit, we applied the recommended model fit criteria: for RMSEA and SRMR values below 0.08 indicate acceptable fit, and values above 0.10 indicate poor fit; for CFI, values higher than 0.90 show an acceptable model fit [77,78].