Table 2. Fittings indices of configural invariance ESEM models with different factors (parent and teacher data).
| Model | χ2(df), p = | RMSEA | CFI | NNFI | Δχ2(Δdf), p = | ΔCFI |
|---|---|---|---|---|---|---|
| Parent data (n = 216) | ||||||
| 3-factor | 1276.011(1047),0.000 | .032 | .941 | .931 | ||
| 4-factor | 1157.900(996), 0.000 | .027 | .958 | .949 | 120.703(51),0.000 | 0.017 |
| 5-factor | 1036.759(945), 0.020 | .021 | .976 | .969 | 115.412(51),0.000 | 0.018 |
| 6-factor | 954.825(894), 0.077 | .018 | .984 | .979 | 87.032(51),0.001 | 0.008 |
| 7-factor | 875.184(843), 0.215 | .013 | .992 | .988 | 84.214(51),0.002 | 0.008 |
| Teacher data (n = 189) | ||||||
| 3-factor | 1293.662(1047),0.000 | .035 | .954 | .946 | ||
| 4-factor | 1165.792(996), 0.000 | .030 | .968 | .961 | 126.787(51),0.000 | .014 |
| 5-factor | 1037.104(945), 0.019 | .023 | .983 | .978 | 120.284(51),0.000 | .015 |
| 6-factor | 959.046(894), 0.065 | .020 | .988 | .983 | 79.623(51), 0.006 | .005 |
| 7-factor | 878.693(843), 0.191 | .015 | .993 | .990 | 84.144(51), 0.002 | .005 |
Note. RMSEA = root mean square error of approximation; CFI = comparative fit index; NNFI = non-normal fit index. N = number of participants with at least one completed baseline or follow-up measure