Table 1.

Goodness of fit statistics for 1- to 6-class solutions and P values for test of class models.

No. of classes	Fit estimatesa			P valuesb			Entropyc
	AICd	BICe	adj.BICf	Vuong-Lo- Mendell-Rubin likelihood ratio test	Lo-Mendell- Rubin adjusted likelihood ratio test	Bootstrap likelihood ratio test
1	5798	5825	5800
2	5742	5783	5745	<.01	<.01	<.01	.69
3	5709	5764	5714	.23	.24	<.01	.77
4	5673	5742	5679	.06	.07	<.01	.85
5	5647	5730	5654	.24	.26	<.01	.86
6	5630	5727	5638	.08	.10	<.01	.87

^aLower values of AIC, BIC, and adj.BIC indicate better model fit.

^bP values for test against model minus 1 class.

^cEntropy estimates ranges from 0 to 1 and assess the accuracy with which models classify individuals into their most likely class; higher scores represent greater classification accuracy.

^dAkaike information criteria.

^eBayesian information criteria.

^fSample size-adjusted BIC.