Table 5.
Measurement invariance across clinical and non-clinical samples based on CFA
| X2 | df | CFI | BIC | SRMR | RMSEA (90%CI) | ΔCFI | ΔRMSEA | |
|---|---|---|---|---|---|---|---|---|
| configural | 418.548 | 226 | 0.922 | 37,843.902 | 0.054 | 0.051 (0.043 0.059) | ||
| metric | 444.234 | 239 | 0.917 | 37,785.676 | 0.061 | 0.051 (0.044 0.059) | −0.005 | 0.000 |
| scalar | 470.730 | 252 | 0.911 | 37,728.430 | 0.062 | 0.052 (0.044 0.059) | −0.006 | + 0.001 |
| strict | 508.677 | 269 | 0.903 | 37,661.713 | 0.065 | 0.052 (0.045 0.059) | −0.007 | 0.000 |
Note: Measurement invariance across clinical and non-clinical samples analysis based on our newly explored structure (17 items and four factor structure). Model a, configural invariance; Model b, metric invariance; Model c, scalar invariance; Model d, 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