Table 3.

Model Fit Indices for Mixture Model Analysis of Housing Stability

	AIC	BIC	ABIC	Entropy	LMR LR Test p-values	ALMR LR Test p-value	Sample proportion per class	Classification accuracy	BLRT p-value
1-Class	97,888.464	97,939.485	97,910.891	–			2141	–	–
2-Class	93,144.013	93,212.041	93,173.916	.944	p < .001	p < .001	(1304; 61%), (837; 39%)	.979–.984	p < .001
3-Class	91,663.649	91,748.684	91,701.027	.948	p < .01	p < .01	(1240; 58%), (794; 37%), (107; 5%)	.974–.979	p < .001
4-Class	90,635.439	90,737.482	90,680.293	.951	.466	.475	(1203; 56%), (93; 5%), (778; 36%), (67; 3%)	.972–.987	p < .001

Note. AIC Akaike information criterion; BIC Bayesian information criterion; ABIC Sample-size adjusted BIC; LMR LR Vuong-Lo-Mendell-Rubin Likelihood Ratio Test; ALMR LR Lo-Mendell-Rubin Adjusted LRT Test; BLRT Bootstrap likelihood ratio test