Table 1.

Growth mixture model fit for binge drinking and marijuana use

	BIC	Entropy	Class proportions	L-M-R test	L-M-R p-value
Binge drinking model
2 classes	15389.15	0.99	3.78 96.22	274.96	<0.01
3 classes	15242.77	0.97	11.21 3.52 85.27	155.28	<0.01
4 classes	15175.08	0.95	2.82 78.58 9.91 8.69	80.79	0.68
Marijuana use model
2 classes	5841.40	0.95	73.96 26.04	300.58	<0.001
3 classes	5691.71	0.95	10.89 18.15 70.96	158.41	<0.001
4 classes	5653. 50	0.94	17.96 69.34 6.63 6.10	52.89	0.36

Note. Model fit is shown for the linear binge drinking model and linear marijuana use model; Model fit was based on the following criteria: 1) Bayesian Information Criterion (BIC), with lower numbers indicating better model fit; 2) Entropy closer to 1, which identifies better fitting classification of posterior probability class values; 3) Class estimates based on posterior probabilities consisting of no less than 5% of the total sample, which supports improved replicability; 4) Lo-Mendell-Rubin (LMR) adjusted likelihood ratio test, which compares the fit of the k class model to the k-1 (i.e., 4 versus 3 class model); and 5) Class interpretability.