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There is considerable debate over whether cyberbullying is just another form of bullying, or whether it is a problem distinct enough to require specific intervention. One way to explore this issue is to analyze whether programs designed to prevent traditional bullying help prevent cyberbullying, and whether programs designed to prevent cyberbullying prevent traditional bullying. The main goal of the current study was to analyze the spillover effects of the cyberbullying prevention program Media Heroes (Medienhelden) on traditional bullying. Media Heroes promotes empathy, knowledge of risks and consequences, and strategies that allow bystanders to defend victims from cyberbullying. Mixed ANOVAs were conducted comparing pretest and post-test (6 months after intervention) measures of 722 students (ages 11-17) assigned to a long (15 sessions) intervention, a short (1 day) intervention, and a control group. In addition to confirming the previously reported effects on cyberbullying, Media Heroes was found to reduce traditional bullying. Effects were larger for the long-version of the program than for the short 1-day version. No effects were found on victimization by either cyberbullying or traditional bullying. Strategies to complement traditional and cyberbullying prevention efforts are discussed. Aggr. Behav. 42:157-165, 2016. © 2016 Wiley Periodicals, Inc.

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Adjusting nomination‐based sociometric and peer assessment scores for biases due to variations in group size has been a long‐standing concern for peer relations researchers. The techniques that have been typically used to make these adjustments (e.g., proportion and standardized scores) are known to have fundamental problems that limit their utility. This study introduces a regression‐based procedure that adjusts nomination‐based scores for variations in group size and compares it with the standardization and proportion procedures. Analyses were conducted on sociometric and peer assessment scores of 1594 fourth, fifth, and sixth graders from 63 classrooms. The advantages of the regression‐based procedure over standardization and proportion transformations are outlined. Implications for the accuracy and validity of nomination‐based measures and the research findings based on them are discussed.

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