Few studies have been conducted to perform an in-depth examination of cyberbullying roles and to identify multifaceted factors associated with cyberbullying roles. Using Latent Class Analysis, the current study identified four cyberbullying roles (i.e., cyberbully, cyber victim, cyberbully victim, and noninvolved) based on the data from the 2009–2010 Health Behavior in School-Aged Children study in the United States. Multinomial logistic regressions were constructed to determine the social-ecological factors related to different cyberbullying roles. Certain individual, family, peer, and school factors were found to be associated with distinctive cyberbullying roles. There were common and unique predictors observed that distinguished cyberbullies, cyber victims, and cyberbully victims. Findings suggest the importance of considering both common and unique factors in intervention strategies targeting specific cyberbullying roles. Improving the effectiveness of cyberbullying intervention and prevention programs also requires attention to multifaceted domains and tailoring programs to the population served.

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.

Adopting the integrated model of General Strain Theory (GST), the current study tested the relations between cyberbullying roles (i.e., cyberbully, cybervictim, and cyberbully-victim) and delinquent behaviors (i.e., physical fighting and substance use), as well as the potential mediating effects of delinquent peer association and perceived social attachment from parents, friends, and teachers. This was conducted in a cross-sectional sample of 12,642 American adolescents via the use of structural equation models. The results indicated that being involved in cyberbullying might be not only directly associated with an increase in delinquent behaviors, but also indirectly via delinquent peer associations and perceived social attachment from parents, friends, and teachers. Furthermore, both direct and indirect (mediating) relationships between cyberbullying and delinquency might depend upon specific cyberbullying roles and the types of delinquency. Potential implications for prevention and intervention strategies were discussed.

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.