Table 2.

Model fit statistics for latent class analysis specifying 1–5 class solutions

Classes	LL	AIC	BIC	SSA-BIC	Entropy	LMR-LRT, p-value	BLRT, p-value
1	−5176.77	10401.54	10492.02	10415.93	-	-	-
2	−4873.07	9840.13	10017.39	9868.32	0.846	602.86, <0.001	<0.001
3	−4776.54	9690.98	9954.98	9732.95	0.911	193.70, 0.001	<0.001
4	−4694.77	9575.55	9926.29	9631.31	0.933	161.29, 0.01	<0.001
5	−4652.67	9537.35	9974.84	9606.90	0.936	83.57, 0.60	<0.001

The bolded row represents the model with the best fit to the data

LL Loglikelihood, AIC Akaike’s Information Criterion, BIC Bayesian Information Criterion, SSA-BIC Sample size adjusted BIC, LMR-LRT Lo-Mendell-Rubin Adjusted Likelihood Ratio Test, BLRT Bootstrapped Likelihood Ratio Test