Although cyberbullying is characterized by worrying prevalence rates and associated with a broad range of detrimental consequences, there is a lack of scientifically based and evaluated preventive strategies. Therefore, the present study introduces a theory-based cyberbullying prevention program (Media Heroes; German original: Medienhelden) and evaluates its effectiveness. In a pretest-posttest design (9-month interval), schools were asked to randomly assign their participating classes to either control or intervention group. Longitudinal data were available from 593 middle school students (M Age = 13.3 years, 53 % girls) out of 35 classes, who provided information on cyberbullying behavior as well as socio-demographic and psychosocial variables. While the present results revealed worrying prevalence rates of cyberbullying in middle school, multilevel analyses clearly demonstrate the program's effectiveness in reducing cyberbullying behavior within intervention classes in contrast to classes of the control group. Hence, this study presents a promising program which evidentially prevents cyberbullying in schools.

In recently published studies on cyberbullying, students are frequently categorized into distinct (cyber-)bully, and (cyber-)victim clusters based on theoretical assumptions and arbitrary cutoff scores adapted from traditional bullying research. The present study identified involvement classes empirically using latent class analysis (LCA), to compare the classification of cyber-and traditional bullying and to compare LCA and the conventional approach. Participants were 6,260 students (M = 14.8 years, SD = 1.6; 49.1% male) from six European countries. LCA resulted in three classes for cyberbullying and four classes for traditional bullying. Cyber-and traditional bullying differed from each other, as did LCA and the conventional approach. Country, age and gender differences were found. Implications for the field of traditional and cyberbullying research are discussed.

The present research provides insight into substance use patterns across Europe by using a large international adolescent sample, multidimensional indicators and a variety of substances. Substance use patterns are helpful when targeting policy and prevention strategies.

The standardized, indicated school-based prevention program "Networks Against School Shootings" combines a threat assessment approach with a general model of prevention of emergency situations in schools through early intervention in student psychosocial crises and training teachers to recognize warning signs of targeted school violence. An evaluation study in 98 German schools with 3,473 school staff participants (M age = 46.2 years) used a quasi-experimental comparison group design with three measurement points (pre, post, and 7 months followup) with schools randomly allocated to implementation conditions. The study found increases in teachers' expertise and evaluation skills, enhanced abilities to identify students experiencing a psychosocial crisis, and positive secondary effects (e.g., teacher-student interaction, feelings of safety).

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