Table 1.

Fit and Parameters for Latent Growth Mixture Models

# of classes	# of parameters	BIC	SABIC	−2LL	VLMR -2LL Difference	VLMR p-value	LMR -2LL Difference	LMR p-value	Entropy
1	18	9172.78	9115.64	−4530.26	--	--	--	--	--
2	23	9150.85	9077.85	−4503.71	53.11	.0002	51.46	.0003	0.742
3	28	9124.60	9035.72	−4474.99	59.09	.0003	57.25	.0003	0.785
4	33	9114.44	9009.70	−4454.32	41.34	.044	40.05	.048	0.823
5	38	9044.11	8923.49	−4403.56	42.15	.438	40.84	.447	0.924

Note. Boldface data reflect the best-fitting model based on fit criteria described earlier in the article. −2LL = −2 log likelihood; BIC = Bayesian Information Criteria; LMR = Lo-Mendell-Rubin Adjusted Likelihood Ratio Test; SABIC = Sample-Size Adjusted BIC; VLMR = Vuong-Lo-Mendell-Rubin Likelihood Ratio Test.