TABLE 2. Fit Indices by Class.

Class	Log Likelihood	FP	AIC	BIC	SABIC	VLMR-LRTa	LMR Adj LRTa	Entropy	Smallest CP (%)
Unconditional model
2	−7,671.47	34	15,410.941	15,536.869	15,429.041	< 0.0001	< 0.0001	0.917	26
3	−7,513.338	46	15,118.675	15,289.049	15,143.165	0.0005	0.0005	0.925	19
4	−7,414.969	58	14,945.937	15,160.757	14,976.815	0.0525	0.0551	0.936	10
5	−7,342.776	70	14,825.552	15,084.817	14,862.818	0.1495	0.1535	0.956	9
6	−7,272.998	82	14,709.997	15,013.707	14,753.652	0.113	0.1169	0.963	3
Model with covariates
2	−7,630.321	39	15,338.641	15,483.089	15,359.404	< 0.0001	< 0.0001	0.914	27
3	−7,434.22	56	14,980.441	15,187.853	15,010.254	0.0002	0.0002	0.928	22
4	−7,349.938	73	14,845.877	15,116.253	14,884.74	0.0871	0.0901	0.946	9
5	−7,265.272	90	14,710.545	15,043.885	14,758.458	0.256	0.2605	0.942	5
6	−7,211.814	107	14,637.627	15,033.932	14,694.591	0.2398	0.2398	0.949	4

^aH0: K–1 classes; H1: K

adj—adjusted; AIC—Akaike information criterion; BIC—Bayesian information criterion; CP—class proportion; FP—free parameters; H—hypothesis; LMR—Lo-Mendell-Rubin; LRT—likelihood ratio test; SABIC—sample size–adjusted Bayesian information criterion; VLMR—Vuong-Lo-Mendell-Rubin

Note. For the bootstrapped LRT, p < 0.0001 for all classes in both models.