Table 6.
Measurement invariance across sex based on CFA
| Model | X2 | df | CFI | BIC | SRMR | RMSEA (90%CI) | ΔCFI | ΔRMSEA |
|---|---|---|---|---|---|---|---|---|
| Non-clinical | ||||||||
| configural | 2338.801 | 224 | 0.904 | 400,015.917 | 0.044 | 0.050 (0.049 0.052) | ||
| metric | 2381.928 | 237 | 0.902 | 399,935.042 | 0.045 | 0.049 (0.048 0.051) | −0.002 | −0.001 |
| scalar | 2983.313 | 250 | 0.876 | 400,540.587 | 0.051 | 0.054 (0.053 0.056) | −0.026 | + 0.005 |
| Partial scalar | 2450.741 | 246 | 0.900 | 399,918.960 | 0.045 | 0.049 (0.047 0.051) | −0.002 | 0.000 |
| clinical | ||||||||
| configural | 341.598 | 226 | 0.924 | 18,797.268 | 0.060 | 0.057 (0.044 0.069) | ||
| metric | 365.170 | 239 | 0.917 | 18,746.046 | 0.072 | 0.058 (0.046 0.070) | −0.007 | + 0.001 |
| scalar | 393.436 | 252 | 0.907 | 18,700.746 | 0.074 | 0.060 (0.048 0.071) | −0.010 | + 0.002 |
| strict | 397.285 | 269 | 0.907 | 18,262.298 | 0.075 | 0.056 (0.044 0.067) | 0.000 | −0.004 |
Note: Measurement invariance across sex analysis based on our newly explored structure (17 items and four factor structure).configural, configural invariance; metric, metric invariance; scalar, scalar invariance; partial scalar, partial scalar invariance; strict, error variance invariance; X2, Chi-square; df, degrees of freedom; CFI, comparative fit index; RMSEA, root-mean-square error of approximation; SRMR, standardized root mean squared residual; BIC, Bayesian information criterion