Table 1. Fit Indices for Latent Class Analysis.

	1	2	3	4
BIC	13900.997	13419.045	13312.442	13256.482
Entropy	–	0.950	0.838	0.837
Class >5%	No	No	No	No
LMR-LRT	–	Sig	Sig	NS

Note: BIC = Bayesian information criterion (smaller values indicate better model fit). Entropy at least.80 (higher values indicates well identified classes). Class >5% (any class smaller than 5% not sufficient). LMR-LRT = Lo-Mendell-Rubin Adjusted Likelihood Ratio Test, test of fit between the model of interest (e.g., three-class model) and the model with one less class (e.g., two-class model). Sig = significant. NS = non-significant.