Table 2.

Latent class model accuracy and fit parameters^* (n=1,396)

Model		LL	# parameters	AIC	BIC	ABIC	VLRT(p)	LRT(p)	BLRT(p)	Entropy
# Classes
Baseline
	2	−3810	11	7643	7701	7666	<0.001	<0.001	0.00	0.67
	3	−3787	17	7609	7699	7645	0.004	0.004	0.00	0.68
	4	−3778	23	7603	7724	7651	0.03	0.03	0.02	0.59
	5	−3774	29	7605	7757	7764	0.05	0.05	0.67	0.60
Follow-up
	2	−3770	11	7562	7619	7584	<0.001	<0.001	0.00	0.72
	3	−3731	17	7494	7583	7529	<0.001	<0.001	0.00	0.59
	4	−3716	23	7479	7600	7527	0.001	0.001	0.00	0.66
	5	−3714	29	7487	7639	7547	0.154	0.157	0.67	0.64

^*Note: LL= loglikelihood; AIC= Akaike Information Criterion; BIC=Bayesian Information Criterion; ABIC=Adjusted BIC; LL= Log Likelihood; VLRT= Vuong, Lo, Mendel & Rubin Test; BLRT= Bootstrap likelihood ratio test; NCVG= Best LL not replicated at maximum random starts