Table 1.
Fit Information for RMLCAs Modeling Past 12-Month Marijuana Use from Ages 18 through 50 with 1-9 Latent Classes
| Classes | df | AIC | BIC | a-BIC | VLMRa | Entropy | loglikelihood | Stability |
|---|---|---|---|---|---|---|---|---|
| 1 | 175114 | 143786.7 | 143944.9 | 143875.0 | −71871.3 | 1.000 | ||
| 2 | 175601 | 109999.3 | 110323.0 | 110180.0 | 0.000 | 0.935 | −54954.6 | 1.000 |
| 3 | 175907 | 102107.1 | 102596.2 | 102380.1 | 0.000 | 0.892 | −50985.5 | 1.000 |
| 4 | 175953 | 99342.6 | 99997.2 | 99708.0 | 0.640 | 0.847 | −49580.3 | 1.000 |
| 5 | 176002 | 98032.1 | 98852.1 | 98489.8 | 0.761 | 0.852 | −48902.0 | 1.000 |
| 6 | 175992 | 97153.8 | 98139.3 | 97703.9 | 0.762 | 0.832 | −48439.9 | 0.692 |
| 7 | 176004 | 96549.3 | 97700.2 | 97191.8 | 0.772 | 0.834 | −48114.7 | 0.540 |
| 8 | 175992 | 96100.7 | 97417.0 | 96835.5 | 0.761 | 0.836 | −47867.3 | 0.564 |
| 9 | 175972 | 95791.9 | 97273.7 | 96619.1 | 0.760 | 0.837 | −47689.9 | 0.100 |
Notes: Unweighted n=9.831. 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; 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.
a
P-values for both the Vuong-Lo-Mendell-Rubin likelihood ratio test and Lo-Mendell-Rubin adjusted likelihood ratio test were identical; only the VLMR shown.