Table 1.

Summary of Latent Class Analysis Information Criteria (N = 2,137)

# classes	MLL	AIC	BIC	aBIC	Entropy	LMR-LRT1
1	-173262.52	347521.10	350343.31	116525.09	--	--
2	-54319.42	108846.80	109435.84	109105.41	0.894	7661.74
3	-53391.99	107099.98	107994.80	107492.81	0.931	1854.86
4	-52849.69	106123.39	107324.03	106650.48	0.937	1084.60
5	-52437.69	105407.38	106913.84	106068.73	0.937	824.00
6	-52122.50	104885.01	106697.30	105680.63	0.916	630.38
7	-51822.60	104393.21	106511.33	105323.09	0.920	599.80

Notes. MLL = Maximum log-likelihood, AIC = Akaike information criterion, BIC = Bayesian information criterion, aBIC = adjusted Bayesian information criterion, LMR-LRT = Lo-Mendell-Rubin adjusted Likelihood Ratio Test. ¹ LMR-LRT k(-1) Model comparisons were all significant at p < .001. The four-class solution was identified as optimal and highlighted in boldface