Model | χ2 (df) | CFI | TLI | RMSEA | 90% CI | CM | ΔCFI | ΔTLI | ΔRMSEA | Δχ2 (df) |
---|---|---|---|---|---|---|---|---|---|---|
Measurement models | ||||||||||
1. Total/configural | 562.107 (368)* | 0.973 | 0.966 | 0.019 | 0.016; 0.022 | – | – | – | – | – |
2. Strong | 600.847 (337)* | 0.969 | 0.963 | 0.020 | 0.017; 0.022 | 1 | − 0.004 | − 0.003 |  + 0.001 | 37.401 (9)* |
3. Strict | 995.875 (352)* | 0.925 | 0.914 | 0.030 | 0.028; 0.032 | 2 | − 0.044 | − 0.049 |  + 0.010 | 382.381 (15)* |
3a. Partial strict | 683.375 (351)* | 0.961 | 0.955 | 0.022 | 0.019; 0.024 | 2 | − 0.008 | − 0.008 |  + 0.002 | 83.117 (14)* |
4. Latent variance | 718.804 (354)* | 0.958 | 0.951 | 0.023 | 0.020; 0.025 | 3a | − 0.003 | − 0.004 |  + 0.001 | 27.705 (3)* |
5. Latent means | 1035.677 (357)* | 0.921 | 0.910 | 0.031 | 0.029; 0.033 | 4 | − 0.037 | − 0.041 |  + 0.008 | 325.984 (3)* |
Latent curve models | ||||||||||
L1. Linear | 542.205 (162)* | 0.911 | 0.896 | 0.038 | 0.034; 0.041 | – | – | – | – | – |
L2. Quadratic | 361.787 (158)* | 0.953 | 0.943 | 0.028 | 0.024; 0.032 | L1 |  + 0.042 |  + 0.047 | − 0.010 | 136.390 (4)* |
Predictive latent curve models | ||||||||||
P1. Full Med | 779.885 (404)* | 0.957 | 0.950 | 0.022 | 0.019; 0.024 | – | – | – | – | – |
P2. Partial Med | 777.268 (401)* | 0.957 | 0.950 | 0.022 | 0.019; 0.024 | P1 | 0.000 | 0.000 | 0.000 | 6.314 (3) |