Table 1.

Fit statistics from the mixture model.

Model	AIC	BIC	sBIC	Entropy	Post. Prob.
2-class	8704028.27	8704661.99	8704477.67	0.957	0.986
3-class	8587074.65	8588003.38	8587733.25	0.921	0.869
4-class	7567653.29	7568877.03	7568521.09	0.980	0.989
5-class	7519572.55	7521091.30	7520649.55	0.940	0.895
6-class	7478289.65	7480103.41	7479575.85	0.983	0.939
7-class	7437821.89	7439930.65	7439317.29	0.952	0.885
8-class	7268011.70	7270415.47	7269716.30	0.908	0.826

The bolded row represents the chosen solution.

AIC Akaike’s information criteria, BIC Bayesian information criteria, sBIC sample-size-adjusted Bayesian information criteria, Post. Prob. Average posterior probabilities of membership in assigned class.