Table 4. Fit statistics for invariance assessment.
| Model | X2 | df | p | Δ X2 | Δ df | p | RMSEA (90% CI) | CFI | ΔCFI | TLI | ΔTLI | Pass? |
|---|---|---|---|---|---|---|---|---|---|---|---|---|
| Measurement Model Estimates | ||||||||||||
| Non-psychiatric | 178.24 | 150 | – | – | – | .042 (.000-.065) | .948 | – | .934 | – | – | |
| Schizophrenia | 169.89 | 150 | – | – | – | .034 (.000-.057) | .960 | – | .949 | – | – | |
| Configural Invariance | 343.84 | 297 | .032 | – | – | – | .038 (.012-.054) | .955 | – | .942 | – | Yes |
| Weak Invariance | 385.63 | 337 | .035 | – | – | – | .036 (.011-.052) | .953 | .002 | .947 | .005 | Yes |
| Strong Invariance | 403.26 | 354 | .036 | – | – | – | .036 (.010-.051) | .952 | .001 | .949 | .002 | Yes |
| Latent Model Estimates | ||||||||||||
| Latent Variance | 405.017 | 357 | .040 | 1.757 | 3 | .624 | .035 (.008-.051) | .953 | .001 | .950 | .001 | Yes |
| Latent Means | 597.823 | 360 | < .001 | 192.806 | 3 | < .001 | .077 (.066-.088) | .769 | .184 | .757 | .193 | No |
CFI = comparative fit index; TLI = Tucker-Lewis; RMSEA = root mean square error of approximation; df = degrees of freedom