TABLE 4.
Fit Indexes for Growth Mixture Models and SEM Trees
| Latent Basis Growth Model |
Three-Class Growth Mixture Model |
Three- Group SEM Tree |
|
|---|---|---|---|
| Number of parameters | 17 | 53 | 51 |
| −2LL | 30,020 | 28,618 | 29,334 |
| BIC | 30,127 | 28,952 | 29,654 |
| AIC | 30,054 | 28,724 | 29,436 |
| aBIC | 30,073 | 28,783 | 29,493 |
| Entropy | — | 0.845 | — |
Note. Given that group formation is exhaustive (not probabilistic) in SEM Trees, the entropy statistic cannot be calculated. LL = log-likelihood; BIC = Bayesian information criterion; AIC = Akaike information criterion; aBIC = sample-siza-adjusted BIC.