ABSTRACT
The aim of this study was to determine how trajectory clusters of social status (social preference and perceived popularity) and behavior (direct aggression and prosocial behavior) from age 9 to age 14 predicted adolescents' bullying participant roles at age 16 and 17 (n = 266). Clusters were identified with multivariate growth mixture modeling (GMM). The findings showed that participants' developmental trajectories of social status and social behavior across childhood and early adolescence predicted their bullying participant role involvement in adolescence. Practical implications and suggestions for further research are discussed.
Subject(s)
Adolescent Behavior , Bullying/psychology , Social Identification , Adolescent , Aggression , Child , Female , Humans , Male , Peer Group , Social Behavior , Social EnvironmentABSTRACT
This longitudinal study examines the mediating mechanisms by which the KiVa antibullying program, based on the Participant Role approach, reduces bullying and victimization among elementary school students. Both student-level mechanisms leading to reduced perpetration of bullying and classroom-level mechanisms leading to reductions in bullying and victimization are considered. Analyses are based on a sample of 7,491 students (49.5% boys) nested within 421 classrooms within 77 schools. At the beginning of program implementation, the children were in Grades 4, 5, and 6 (mean age 11.3 years). Multilevel structural equation modeling was used to analyze whether changes in the hypothesized mediators accounted for later reductions in the outcomes. At the student level, antibullying attitudes and perceptions regarding peers' defending behaviors and teacher attitudes toward bullying mediated the effects of KiVa on self-reported bullying perpetration. The effects on peer-reported bullying were only mediated by antibullying attitudes. At the classroom level, the program effects on both self- and peer-reported bullying were mediated by students' collective perceptions of teacher attitudes toward bullying. Also, perceived reinforcing behaviors predicted bullying but did not emerge as a significant mediator. Finally, bullying mediated the effects of the classroom-level factors on victimization. These findings enhance knowledge of the psychosocial developmental processes contributing to bullying and victimization and shed light on the key mechanisms by which school bullying can successfully be counteracted.
Subject(s)
Bullying/psychology , Crime Victims/psychology , Peer Group , Program Evaluation/methods , Social Environment , Students/psychology , Age Factors , Child , Child Behavior/psychology , Crime Victims/statistics & numerical data , Faculty , Female , Finland , Humans , Longitudinal Studies , Male , Schools , Sex Factors , Students/statistics & numerical data , Surveys and QuestionnairesABSTRACT
The purpose of this study was to simultaneously investigate student-, classroom-, and school-level risk factors for victimization. Both peer nominations and students' self-reports of victimization were utilized. The sample consisted of 6731 Finnish elementary school students (3386 girls and 3345 boys) nested in 358 classrooms in 74 schools. The participants were from Grades 3, 4, and 5 (mean age 11years). The results of multilevel analyses indicated that there was considerable variability in, and distinctive risk factors associated with, both peer- and self-reported victimization at all the three levels investigated. Social anxiety and peer rejection synergistically predicted victimization at the student level. At the classroom level, negative social outcome expectations of defending the victim were associated with an increased risk of a student being bullied. Victimization was also common in classrooms and schools where students perceived their teachers to have less disapproving attitudes toward bullying. Furthermore, the effects of the student-level predictors were found to vary across classrooms, and classroom size moderated the effects of social anxiety and peer rejection on victimization. By identifying the risk factors at the multiple levels, and looking into cross-level interactions among these factors, research can help to target interventions at the key ecological factors contributing to victimization, making it possible to maximize the effectiveness of interventions.