Table 2.

Choosing the Number of Classes: Growth Mixture Modeling Information Criteria

Classes	Parameters	BIC	ABIC	Entropy	LMR LRT	BLRT
1	11	5959.32	5924.46
2	15	5921.11	5873.57	0.838	0.011	0.000
3	19	5885.84	5825.63	0.860	0.042	0.000
4	23	5892.29	5819.41	0.836	0.745	0.040
5*	27	5885.74	5800.18	0.839	0.089	0.000

^*Contains small class (< 5% of the sample): signifies unstable classification

BIC = Bayesian Information Criterion: lower values are better

ABIC = Sample-size Adjusted BIC: lower values are better

Entropy: measure of classification; ranges 0.00–1.00, with values closer to 1.00 being best

LMR LRT = Lo Mendell Rubenstein Likelihood Ratio Test p-value; want p<0.05

BLRT = Bootstrapped Likelihood Ratio Test p-value; want p<0.05