Cited by 60Bullying, Victimization, and AggressionHate Speech and Cyberbullying DetectionImpact of Technology on Adolescents

Predicting adolescent’s cyberbullying behavior: A longitudinal risk analysis

Barlett, Christopher P.·2015·Journal of Adolescence

Abstract

The current study used the risk factor approach to test the unique and combined influence of several possible risk factors for cyberbullying attitudes and behavior using a four-wave longitudinal design with an adolescent US sample. Participants (N = 96; average age = 15.50 years) completed measures of cyberbullying attitudes, perceptions of anonymity, cyberbullying behavior, and demographics four times throughout the academic school year. Several logistic regression equations were used to test the contribution of these possible risk factors. Results showed that (a) cyberbullying attitudes and previous cyberbullying behavior were important unique risk factors for later cyberbullying behavior, (b) anonymity and previous cyberbullying behavior were valid risk factors for later cyberbullying attitudes, and (c) the likelihood of engaging in later cyberbullying behavior increased with the addition of risk factors. Overall, results show the unique and combined influence of such risk factors for predicting later cyberbullying behavior. Results are discussed in terms of theory.

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Crossref · 10.1016/j.adolescence.2015.02.006

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Authors
Barlett, C. P.
Affiliations
Gettysburg College (US)
Corresponding author
Barlett, Christopher P.
Venue
Journal of Adolescence
Publisher
Wiley
Published
2015-03-29
Volume
41
Issue
1
Pages
86-95
ISSN
  • 0140-1971 (ISSN-L)
  • 1095-9254
OpenAlex
W1985579750
Cited by
60
References
32
Citations by year
2026: 4 · 2024: 2 · 2023: 8 · 2022: 11 · 2021: 2 · 2020: 8 · 2019: 7 · 2018: 6 · 2017: 8 · 2016: 3 · 2015: 1
FWCI
9.84
Type
journal article
Language
en
Open access
closed
Locations
  • Journal of Adolescence (publishedVersion)
  • PubMed (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 › Impact of Technology on Adolescents
Keywords
cyberbullying, adolescents, risk factors, perceived anonymity, longitudinal prediction, bullying perpetration
MeSH terms
Adolescent, Adolescent Behavior, Psychology, Adolescent, Female, Humans, Longitudinal Studies, Male, Risk Factors, Time Factors, Violence, Logistic Models, Crime Victims, Internet, Bullying

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