Table 2. Multi-group invariance analysis across gender.
| Models |
χ2 |
df |
χ2/df |
∆χ2 |
∆df |
CFI |
IFI |
SRMR |
RMSEA (90% CI) |
| Model 1 |
139.15 |
74 |
1.88 |
- |
- |
.97 |
.97 |
.029 |
.045 (.033-.056) |
| Model 2 |
149.61 |
80 |
1.87 |
10.45 |
6 |
.97 |
.97 |
.030 |
.044 (.033-.055) |
| Model 3 |
157.84 |
84 |
1.87 |
18.68* |
10 |
.97 |
.97 |
.032 |
.045 (.034-.055) |
| Model 4 |
185.71 |
94 |
1.97 |
46.56* |
20 |
.96 |
.96 |
.044 |
.047 (.037-.057) |
| Model 5 |
189.51 |
95 |
1.99 |
50.35* |
21 |
.96 |
.96 |
.046 |
.047 (.037-.057) |
| Model 6 |
223.91 |
103 |
2.17 |
84.75* |
29 |
.95 |
.95 |
.046 |
.051 (.042-.061) |
Note. Model 1 = unconstrained; Model 2 = invariant measurement weights; Model 3 = invariant structural weights; Model 4 = invariant structural covariances; Model 5 = invariant structural residuals; Model 6 = invariant measurement residuals.* p < 0.05
