Previous studies so far have investigated various aspects of cyberbullying. Using meta‐analytic approaches, the study was primarily to determine the target factors predicting individuals’ perpetration and victimization in cyberbullying. A meta‐analysis of 77 studies containing 418 primary effect sizes was conducted to exam the relative magnitude of demographic, individual, and contextual predictors. Several study characteristics (i.e., sample age, sample gender, study location, publication status, and publication year) were further analyzed as moderators. The results showed the average effect size of each predictor for both cyberbully and cybervictim groups. Several significant shared and unique predictors were identified as important factors for designing effective prevention and intervention programs. The implications of the findings for future research were discussed in relation to interventions on cyberbullying.

Few studies have been conducted to investigate typologies of perpetration and victimization of traditional and cyber bullying together to develop a risk profile by considering factors from different contexts. National data from the 2009–2010 Health Behavior in School-Aged Children study in the United States was utilized for these purposes. Four latent classes were identified: severe bully-victims, moderate bullies, moderate victims and those not involved. Various individual, family, peer and school factors were found to be associated with bullying involvement. The risk profiles developed based on these factors can be used to provide a theoretical background for researchers and practical guides for schools to offer interventions to students, which will benefit adolescent development in the long run.

The study examines the longitudinal relationship between religious involvement and substance use within emerging adulthood, accounting for changes in religious involvement over time and exploring variations across age, sex, race/ethnicity, and substance (i.e., alcohol, marijuana, and hard drugs). To this end, random effects models are used focusing on 11 waves of the National Longitudinal Survey of Youth, 1997. The findings demonstrate that increases in religious attendance are associated with reduced odds of all forms of substance use. In addition, the religious attendance–substance use relationship becomes weaker with age. Overall, religious attendance has a similar relationship with substance use among males and females, as well as Whites and non-Whites, with a few notable exceptions.

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The Pediatric Symptom Checklist-17 was originally used in primary care settings with parents to identify their children’s behavioral and emotional problems, but there has been some research supporting use of this scale in school settings. This study examined: (a) the factor structure and measurement invariance of the teacher-rated Pediatric Symptom Checklist-17 and (b) complex relationships among demographic characteristics, behavioral and emotional problems, and learning outcomes using structural equation modeling in elementary schools. A sample of 508 children in grades one and two were rated by their teachers with the Pediatric Symptom Checklist-17. Measures of Academic Progress test was utilized to measure participants’ learning outcomes in reading and math. The results confirmed a three-factor structure of the Pediatric Symptom Checklist-17 (internalizing problems, externalizing problems, and attention problems) and attested the measurement invariance across different demographic groups (i.e. gender, ethnicity, and grade levels). Boys were more likely to have severe attention problems which were associated with lower learning outcomes as seen by Measures of Academic Progress reading and math scores. Attention problems mediated the relationship between gender and learning outcomes. This study has implications for the use of the Pediatric Symptom Checklist-17 in school-based settings. Additionally, it highlights the potential relationships among gender, attention problems, and learning outcomes.