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. Author manuscript; available in PMC: 2018 Nov 1.
Published in final edited form as: Addict Behav. 2017 Jun 5;74:134–139. doi: 10.1016/j.addbeh.2017.06.004

Table 1. Fit Information for RMLCAs Modeling Past Two-Week Alcohol Use from Ages 18 through 25/26 with 1-5 Latent Classes.

Classes df AIC BIC a-BIC VLMR a-LMR Entropy Loglikelihood Stability
1 231 7167.4 7217.2 7185.5 -3573.7 1.000
2 219 6581.2 6685.9 6619.2 0.000 0.000 0.653 -3269.6 1.000
3 209 6426.6 6586.1 6484.4 0.006 0.006 0.637 -3181.3 1.000
4 198 6371.9 6586.2 6449.6 0.038 0.040 0.640 -3142.9 0.944
5 188 6377.7 6646.8 6475.3 0.805 0.806 0.648 -3134.9 0.252

Note. Unweighted n = 1,078. RMLCA=repeated measures latent class analysis; AIC=Akaike information criterion; BIC=Bayesian information criterion; a-BIC=adjusted BIC; VLMR=Vuong-Lo-Mendell-Rubin likelihood ratio test; a-LMR=Lo-Mendell-Rubin adjusted likelihood ratio test; Stability=proportion of time the maximum-likelihood solution was selected out of 250 final stage optimizations (preceded by 500 initial stage sets of random starting values). Bold font indicates selected model.