Table 1.

Model Fit Indices for Latent Class Models

Models by Number of Classes
	1	2	3	4	5
LMR Testing hypothesis	-------	1 class vs. 2 classes	2 classes vs. 3 classes	3 classes vs. 4 classes	4 classes vs. 5 classes
No. of parameters	20	41	62	83	104
LMR df	-------	21	21	21	21
LMR Coefficient	-------	8,243.30	1,182.88	912.44	548.60
LMR probability	-------	< .001	< .001	< .001	.001
Log likelihood	−33,933.68	−29,654.82	−29,040.82	−28,567.20	−28,282.44
AIC	67,907.36	59,391.63	58,205.65	57,300.39	56,770.89
BIC	68,042.14	59,667.94	58,623.48	57,859.75	57,465.03
Entropy	-------	0.880	0.896	0.866	0.851

Note: LMR: Lo-Mendell Rubin test; df: degrees of freedom; AIC: Akaike information criterion; BIC: Bayesian information criterion