Table 2.

Latent class models and fit indices

Model	Log-likelihood	BIC	SSA-BIC	AIC	Entropy	LMR-A p-value	BLRT p-value
2 classes	−3523.010	7288.315	7151.965	7132.020	0.781	0.029	<0.001
3 classes	−3433.024	7232.310	7026.199	6996.048	0.817	0.066	<0.001
4 classes	−3382.025	7254.278	6978.406	6938.051	0.808	0.401	<0.001
5 classes	−3338.211	7290.613	6944.981	6894.421	0.848	0.639	<0.001a

Note. BIC, Bayesian Information Criterion; SSA-BIC, Sample-Size Adjusted BIC; AIC, Akaike Information Criterion; LMRA-A, Lo-Mendell-Rubin adjusted likelihood ratio test; BLRT, bootstrap likelihood ratio test.

^aThe best log-likelihood value was not replicated in 32 out of 50 bootstrap draws. The p-value may not be trustworthy due to local maxima.