Table 2.

Comparison of latent class analysis models with different numbers of latent classes based on model selection statistics

Number of latent class	Number of parameters estimated	G2	df	AIC	BIC	X2	Entropy	Maximum log-likelihood
1	9	953	502	22,904	22,956	1584	4.71	-11443.10
2	19	691	492	22,661	22,771	857	4.66	-11311.95
3	29	510	482	22,501	22,669	668	4.63	-11221.81
4	39	457	472	22,468	22,694	575	4.61	-11195.19
5	49	425	462	22,456	22,740	528	4.61	-11179.19
6	59	389	452	22,440	22,782	507	4.60	-11161.22
7	69	366	442	22,437	22,837	491	4.59	-11149.83

Note LCA: latent class analysis; AIC: Akaike information criterion; BIC: Bayesian information criterion. df: degree of freedom; G²: the likelihood-ratio statistic