TABLE 1.
BIC | Entropy | BLRT | |
---|---|---|---|
2-Class | 19487.120 | 0.838 | 0.0000 |
3-Class | 19328.914 | 0.861 | 0.0000 |
4-Class | 19186.770 | 0.822 | 0.0000 |
5-Class | 19095.853 | 0.840 | 0.0000 |
Note. The BIC is an index used to compare the fit of two or more models estimated from the same data set and smaller values are preferred. Entropy values close to 1 indicate clear delineation of classes. BLRT signifies that the model is significantly better than a model with one fewer class when p values are less than .05. BIC = sample size adjusted Bayesian Information Criterion; BLRT = Bootstrapped Likelihood Ratio.