Table 3.
Invariance testing.
| Model | df | AIC | BIC | Chisq | Pr (>Chisq) |
|---|---|---|---|---|---|
| Configural | 12 | −2750.6 | −2665.4 | 8.2065 | |
| Equal loadings | 13 | −2752.6 | −2670.7 | 8.2066 | 0.0001 (0.99) |
| Equal loadings and intercepts | 14 | −2748.6 | −2670.0 | 14.2058 | 5.9992 (0.01)⁎ |
The fit indices for the invariance testing. df, degrees of freedom; AIC, Akaike Information Criterion; BIC, Bayesian Information Criterion; Chi-square difference, difference between the chi-square of the model with the previous one; Pr(>Chisq), p-value of the chi-square difference test (ANOVA).
⁎
p < 0.05.