Table 4. Fit Indices for GGMM for Boys and Girls.
Number of latent classes | Boys | Girls | |||
---|---|---|---|---|---|
CP | DS | BIC | AIC | BIC | AIC |
3 Classes | 4 Classes | 35386.4 | 34533.0 | 40296.4 | 39410.2 |
4 Classes | 3 Classes | 35272.0 | 34274.3 | 39386.5 | 38349.5 |
4 Classes | 4 Classes | 34988.6 | 33836.6 | 39342.9 | 38146.3 |
4 Classes | 5 Classes | 35069.0 | 33763.1 | 39648.6 | 38111.7 |
5 Classes | 4 Classes | 35006.3 | 33784.5 | 39396.3 | 37989.6 |
5 Classes | 5 Classes | 35406.2 | 34075.9 | 39350.2 | 37968.3 |
Note: BIC is Baysian information criterion and AIC is Akaike information Criterion. Smaller values of BIC and AIC indicate better fit of the model.