. Author manuscript; available in PMC: 2020 Aug 13.

Published in final edited form as: Dev Psychopathol. 2020 Aug;32(3):945–959. doi: 10.1017/S0954579419000919

Table 2.

Fit statistics across the growth mixture class solutions (N = 1,307)

						SC N (%)
Classes	AIC	BIC	Adj BIC	Entropy	VLMR (p)	C1	C2	C3	C4	C5
2	65643.792	65897.391	65741.741	.913	235.011 (.234)	1214 (93%)	93 (7%)
3	65406.623	65696.450	65518.565	.874	−76.479 (.108)	112 (9%)	106 (8%)	1089 (83%)
4	65246.560	65572.616	65372.494	.886	89.780 (.298)	1075 (82%)	104 (8%)	84 (6%)	44 (3%)
5	65130.657	65492.941	65270.584	.888	−34.602 (.139)	111 (8%)	1033 (79%)	34 (3%)	12 (1%)	106 (8%)

Note: AIC = Akaike information criterion; BIC = Bayesian information criteria; VLMR = Vuong-Lo-Mendell-Rubin Likelihood ratio test; SC = smallest class size. Lower values of AIC and BIC and higher values of entropy and probabilities indicate better model fit. Chosen class is shown in bold.