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A META‐ANALYSIS OF THE PREDICTORS OF CYBERBULLYING PERPETRATION AND VICTIMIZATION
Author(s) -
Guo Siying
Publication year - 2016
Publication title -
psychology in the schools
Language(s) - English
Resource type - Journals
SCImago Journal Rank - 0.738
H-Index - 75
eISSN - 1520-6807
pISSN - 0033-3085
DOI - 10.1002/pits.21914
Subject(s) - psychology , meta analysis , psychological intervention , clinical psychology , intervention (counseling) , human factors and ergonomics , poison control , developmental psychology , medicine , psychiatry , environmental health
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.