. Author manuscript; available in PMC: 2021 Jul 29.

Published in final edited form as: J Appl Dev Psychol. 2015 Jan-Feb;36:39–52. doi: 10.1016/j.appdev.2014.10.001

Table 1.

Fit indices for profile solutions.

Solution	AIC	BIC	Entropy	LRT^a	Number of classes <5% of sample
2-class	188,044.81	188,136.87	.74	6939.85 (p < .0001)	0
3-class	185,078.07	185,205.54	.84	2912.59 (p < .0001)	1
4-class	183,760.41	183,923.28	.75	1299.06 (p < .0001)	1
5-class	182,435.49	182,633.77	.80	1480.36 (p < .0001)	1
6-class	181,828.49	182,062.18	.80	603.70 (p < .01)	3

Note. AIC = Akaike Information Criterion; BIC = Bayesian Information Criterion; LRT = Vuong-Lo-Mendell-Rubin likelihood ratio test.

Compared to a solution with one fewer class.