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This study examined differences in predictors of marijuana use versus quantity of marijuana use across the high school years, using annual assessments from theOregon Youth Study (OYS) and a two‐part model for semicontinuous data. TheOYSis a community sample of at‐risk boys followed from age 10 years. To capture dynamic prediction effects, change scores of predictors, as well as baseline scores, were included. Baseline predictors predominantly showed associations with the intercepts but not with the slopes of growth models. Change scores for parental monitoring, peer substance use, and antisocial behavior and deviant associations were associated with both parts of the model. Findings highlight the importance of looking at marijuana use compared with the quantity of marijuana use.

The purpose of this study was to evaluate the impact of different operationalizations of offending behavior on the identified trajectories of offending and to relate findings to hypothesized dual taxonomy models. Prior research with 203 young men from the Oregon Youth Study identified six offender pathways, based on self‐report data (Wiesner and Capaldi, 2003). The current study used official records data (number of arrests) for the same sample. Semiparametric groupbased modeling indicated three distinctive arrest trajectories: high‐level chronics, low‐level chronics, and rare offenders. Both chronic arrest trajectory groups were characterized by relatively equal rates of early onset offenders, which indicates, therefore, some divergence from hypothesized dual taxonomies. Overall, this study demonstrated limited convergence of trajectory findings across official records versus selfreport measures of offending behavior.

Female romantic partners' influence on official crime occurrence for men across a 12‐year period in early adulthood was examined within a comprehensive dynamic prediction model, including both social learning and social control predictors. We hypothesized that relationship stability, rather than attachment to partner, would be associated with reduced likelihood of crime, whereas women's antisocial behavior would be a risk factor, along with deviant peer association. Models were tested on a sample of at‐risk men [the Oregon Youth Study (OYS)] using zero‐inflated Poisson (ZIP) modeling predicting 1) arrest persistence (class and count) and 2) arrest onset class. The findings indicated that women's antisocial behavior was predictive of both onset and persistence of arrests for men and that deviant peer association was predictive of persistence. Relationship stability was protective against persistence.