As shown in Figure S1, three classes were identified as the three-class model had a lower Bayesian Information Criterion (BIC) than the two-class solution, the Lo-Mendel-Rubin Adjusted Likelihood Ratio Test (LMR-ALRT) p-value for the 4 class solution (p = 0.1002) was not significant, and the entropy for the 3 class solution (0.917) was high (fit statistics in Table S2; parameter estimates for the best-fitting model in Table S3). Classification probabilities were high (0.975, 0.928, 0.977). Sensitivity analyses with 10-unit intervals of cannabis use frequency were similar (Table S2; Supplemental Materials). Broadly speaking (Table 1), the classes represented (a) users who consistently used cannabis infrequently during the entire period of follow-up, and included never users of cannabis, that we termed the “no-low” use class (N = 844); (b) another class that included individuals with very high frequency of initial use that continued to escalate during the follow-up period and remained elevated at the final assessment, that we termed the “high” use class (n=186); and (c) a class that included escalating use that involved similar high use at baseline but a less
