funding from 23 other federal agencies and foundations. Special acknowledgment is due to Ronald R. Rindfuss and Barbara Entwisle for assistance in the original design. Information on how to obtain the Add Health data files is available on the Add Health website (http://www.cpc.unc.edu/addhealth). No direct support was received from grant P01-HD31921 for this analysis.
Substance use has been closely linked with the structural characteristics of adolescent social networks. Those who drink, smoke, and use drugs typically enjoy an elevated status among their peers. Rates of substance use vary substantially across schools, and indicators of school structure and climate account for at least part of this variation. Emerging research suggests peer-group processes are contingent on school context, but questions remain regarding the school-level mechanisms which condition the influence of network characteristics on substance use. The present study uses multilevel logistic regression models to examine the moderating influence of school connectedness, school drug culture, and global network density on the association between peer network status and marijuana use. The analyses draw on self, peer, and parental data from a sample of 7,548 high-school aged youth nested within 106 schools participating in the National Longitudinal Study of Adolescent to Adult Health (mean age = 15.2; % white = 59 %; male = 45 %). The results indicate that school connectedness significantly reduces the effect of social status on marijuana use. This provides evidence that school-level mechanisms can reduce the instrumentality of marijuana consumption in the status attainment process in adolescence.
Objectives: This study examines the effects of traditional bullying, cyberbullying, and dual-bullying victimization on subsequent delinquent outcomes. Method: Data come from a longitudinal sample of middle school students ( N = 3,271) as part of the evaluation of the Gang Resistance Education and Training (GREAT) program. A hybrid random effects model is used to estimate the between- and within-individual effects of traditional, cyber-, and dual-bullying victimization while controlling for other predictors of delinquency. Outcomes include general delinquency, violent and nonviolent delinquency, and substance use. Results: The findings demonstrate that those who are cyberbullied exhibit a higher propensity for substance use and nonviolent delinquency compared to those who are traditionally bullied. Changes in dual victimization within respondents over time are most strongly related to general delinquency. With one exception, the effect of traditional bullying victimization remained weakest in all of the models. Conclusions: This study finds evidence that victims of cyberbullying may be more likely to engage in delinquent and deviant behavior compared to victims of traditional bullying. Criminologists and antibullying prevention efforts should consider the broader role of cyberbullying victimization in the developmental processes of adolescents.
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