Table 3.
Fit of model compared to
saturated modela |
Difference in fit of
modelsb |
||||||||
---|---|---|---|---|---|---|---|---|---|
Model | −2LL | df | χ 2 | Δ df | p | AIC | Δ χ 2 | Δ df | p |
Saturated | 11010.859 | 2338 | |||||||
Full | 11097.563 | 2388 | 86.704 | 50 | <.001 | −13.296 | |||
Reduced | 11107.291 | 2395 | 96.432 | 57 | <.001 | −17.568 | 9.728 | 7 | .205 |
Note. −2LL= log likelihood statistic; df= degrees of freedom; χ 2= chi-square fit statistic; AIC= Akaike’s information criterion.
Overall fit of the model determined by the difference in -2LL of the model and that of a saturated model.
Relative fit of the model determined by the χ 2 difference (Δχ2) between full model and reduced model, in which all nonsignificant paths were dropped.