Given that none of our models reached our thresholds of good fit, we ran the common factor, EXT-ARF and BD-SUB models and included data-driven residual correlations among indicators. The primary purpose of these analyses was to determine the extent to which the parameter estimates in our primary models were influenced by inadequate fit. Factor loadings and correlations were stable across models with and without residual correlations (Figure S1, Table S5). The factor correlations between the externalizing and addiction risk factors (EXT-ARF model) were 0.90 and 0.88 in models with and without residual correlations, respectively. Factor correlations between the behavioural disinhibition and substance use factors (BD-SUB model) were 0.87 and 0.86 in models with and without residual correlations, respectively.
