TABLE 2.

Model Fit by Different Number of Classes

Likelihood		BIC	AIC	SSBIC	LMR LR test	VLMR LR test	Bootstrap LR Test	Entropy
1	−47467.668	95390.663	95045.336	95215.898
2	−43833.858	88586.649	87889.715	88233.941	<.001	<.001	<.001	0.821
3	−42935.032	87252.605	86204.065	86721.954	<0.0001	<0.0001	<.0001	0.884
4	−42199.038	86244.222	84844.076	85535.629	<0.0001	<0.0001	<0.0001	0.813
5	−41904.745	86119.242	84367.49	85232.707	0.7604	0.7604	<.0001	0.762
6	−41646.907	86067.173	83963.815	85002.695	0.6229	0.6232	<.0001	0.750
7	−41460.344	86157.653	83702.689	84915.233	0.7604	0.7604	<.0001	0.757

Note. Entropy at an omnibus index of >0.8 indicates good classification. BIC = Bayesian information criterion; AIC = Alkaike information criterion; SSBIC = sample size adjusted BIC; LMR LR = Lo-Mendell-Rubin likelihood ratio test; VLMR LR = Vuong-Lo-Mendell-Rubin likelihood ratio test; LR = likelihood ratio.