Table 2.

Fit Statistics for the Latent Class Analysis Models

Classes	BIC	Entropy	N1	N2	N3	N4	P Value
1	39,988	—	483	—	—	—	—
2	39,646	0.83	373	110	—	—	0.0075
3	39,529	0.88	355	109	19	—	0.2479
4*	39,456	0.85	270	107	87	19	0.6859

Definition of abbreviation: BIC = Bayesian information criteria.

Each row represents a single model comprising K classes. N1–N4 are the number of observations in each class and the P value represents the Vuong-Lo-Mendell-Rubin test, which tests whether a model comprising a K class is a better fit than a K-1 class.

^*Seventeen perturbed starting value run(s) did not converge or were rejected in the third stage.