A META-ANALYSIS OF THE PREDICTORS OF CYBERBULLYING PERPETRATION AND VICTIMIZATION

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 siz...

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Bibliographic Details
Published inPsychology in the schools Vol. 53; no. 4; pp. 432 - 453
Main Author Guo, Siying
Format Journal Article
LanguageEnglish
Published Hoboken Blackwell Publishing Ltd 01.04.2016
Wiley-Blackwell
Wiley Subscription Services, Inc
Subjects
Bullying
Computer Mediated Communication
Effect Size
Intervention
Meta Analysis
Prediction
Prevention
Program Design
Systematic review
Victimization
Victims
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Summary: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.
Bibliography:ark:/67375/WNG-3QFP5W8R-Z
istex:AB80BFF4E0B984255CFD3A442A1CBFB1B0694F4C
ArticleID:PITS21914
The author would like to thank Christi Metcalfe, Jianhong Liu, the editors, and anonymous reviewers for their helpful comments on an earlier draft of this article.
ObjectType-Article-1
SourceType-Scholarly Journals-1
ObjectType-Feature-2
content type line 14
ISSN:0033-3085
1520-6807
DOI:10.1002/pits.21914