Table 2.

Model Fit Statistics for Latent Class Analyses, Factor Analyses, and Factor Mixture Analyses.

Model	Log L	Parameters	AIC	cAIC	BIC	aBIC	Entropy
Latent class analyses
2 Class	−6901.84	34	13871.67	14016.60	13982.60	13874.90	.99
3 Class	−6829.06	46	13750.12	13946.20	13900.20	13754.49	.99
4 Class	−6751.02	58	13618.04	13865.27	13807.27	13623.54	.99
Factor analyses
1 Dimension	−6250.61	26	12553.23	12664.06	12638.06	12555.70
2 Dimension	−6929.63	46	13951.26	14147.34	14101.34	13955.62
Factor mixture analyses
1 Dimension
2 Class	−6811.46	48	13718.92	13923.53	13875.53	13723.48	.99
3 Class	−6615.28	61	13352.53	13612.56	13551.56	13358.33	.92
4 Class	−6363.23	74	12874.45	13189.89	13115.89	12881.48	.99
2 Dimension
2 Class	−6695.34	59	13508.69	13760.18	13701.18	13514.29	.98
3 Class	−6636.97	72	13417.94	13724.86	13652.86	13424.78	.96

Note. AIC = Akaike information criterion; aBIC = adjusted BIC; BIC = Bayesian information criterion; cAIC = consistent AIC; Log L = log likelihood. Bold indicates the best-fitting model.