A META-ANALYSIS OF THE PREDICTORS OF CYBERBULLYING PERPETRATION AND VICTIMIZATION
Abstract
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.
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Higher aggressive cognition predicts increased cyberbullying victimization.
“Research by Guo37 supports that higher aggressive cognition predicts increased cyberbullying victimization.”
From Umbrella review of meta-analyses on the risk factors, protective factors, consequences and interventions of cyberbullying victimization (2024) · cites this paper as [37]
Females, compared with males, are at a slightly higher risk of cyberbullying victimization.
“Meta-analyses consistently show that females (versus males) are at a slightly higher risk of cyberbullying victimization37,64–66,103,107,117.”
From Umbrella review of meta-analyses on the risk factors, protective factors, consequences and interventions of cyberbullying victimization (2024) · cites this paper as [37]
Age has a nonlinear relationship with cyberbullying victimization, with victimization rates increasing with age but only until adulthood.
“Existing findings indicate a nonlinear relationship between age and cyberbullying victimization, with victimization rates increasing with age28,37,67,117,123 but only until adulthood64.”
From Umbrella review of meta-analyses on the risk factors, protective factors, consequences and interventions of cyberbullying victimization (2024) · cites this paper as [37]
Unfavourable school climates lacking proper teacher-student interactions are consistently associated with small increases in cyberbullying victimization.
“Ten meta-analyses reveal that unfavourable school climates lacking proper teacher–student interactions have been consistently associated with small increases in cyberbullying victimization28,37,67,73,82,99,104,108,118,132.”
From Umbrella review of meta-analyses on the risk factors, protective factors, consequences and interventions of cyberbullying victimization (2024) · cites this paper as [37]
Strong family relationships have a small positive correlation with reduced risk of cyberbullying victimization.
“Nine meta-analyses indicate a small positive correlation between strong family relationships and a reduced risk of cyberbullying victimization28,37,64,67,73,99,103,104,123.”
From Umbrella review of meta-analyses on the risk factors, protective factors, consequences and interventions of cyberbullying victimization (2024) · cites this paper as [37]
Increased internet and digital media use has a small but significant association with higher cyberbullying victimization rates.
“A small but significant association was observed between increased internet and digital media use and higher cyberbullying victimization rates across seven meta-analyses37,67,73,82,99,104,127.”
From Umbrella review of meta-analyses on the risk factors, protective factors, consequences and interventions of cyberbullying victimization (2024) · cites this paper as [37]
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- Authors
- Guo, S.
- Affiliations
- University of South Carolina (US)
- Corresponding author
- Guo, Siying
- ORCID
- Guo, Siying
- Venue
- Psychology in the Schools
- Publisher
- Wiley
- Published
- 2016-02-29
- Volume
- 53
- Issue
- 4
- Pages
- 432-453
- ISSN
- 0033-3085 (ISSN-L)
- OpenAlex
- W2286468323
- Cited by
- 299
- References
- 108
- Citations by year
- 2026: 18 · 2025: 22 · 2024: 34 · 2023: 48 · 2022: 36 · 2021: 46 · 2020: 34 · 2019: 26 · 2018: 17 · 2017: 12 · 2016: 4
- FWCI
- 3.08
- Type
- journal article
- Language
- en
- Open access
- closed
- Licence
- Locations
- Psychology in the Schools (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Social Sciences › Sociology and Political Science › Workplace Violence and Bullying
- Keywords
- cyberbullying, cyberbullying perpetration, cyber victimization, predictors of cyberbullying, demographic factors, personal factors, contextual factors, moderators, cyberbullying prevention, cyberbullying intervention
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