Table 3.
Model | χ2 | d.f. | RMSEAa | CFIb | GFIc | BICd | BIC Difference |
---|---|---|---|---|---|---|---|
1st order Oblique 3-Factor Oblique |
1064.68 | 218 | .06 | .96 | .92 | −470.73 | |
2nd Order Single- Factor Model |
1084.95 | 224 | .06 | .96 | .91 | −492.72 | 21.99 |
Root Mean Squared Error Approximation.
Comparative Fit Index.
Goodness of Fit Index.
Bayesian Information Criterion =χ2 - ln(N) × d.f., where χ2 is the Minimum Function Chi-square, N is the sample size, and d.f. is the degree of freedom of the model.