Pulse Brain · Growing Health Evidence Index
Peer-reviewed

Predicting Undergraduates' Self-Reported Engagement in Traditional and Cyberbullying from Attitudes

Mike Boulton, J. T. A. Lloyd, James Down, Hedda Marx

Cyberpsychology Behavior and Social Networking · 2012

Read source ↗ All evidence

Summary

Studies indicate that attitudes predict traditional forms of bullying. Fewer studies have tested this for cyberbullying, in which the harassment is delivered via electronic communication technology. The current study represents the first direct comparison of attitudes toward the two forms of bullying among undergraduates (N=405). It also tested the hypothesis that engagement in traditional and cyberbullying could be predicted from attitudes toward bullying behavior, bullies, and victims. Results indicated that participants held least favorable attitudes toward physical bullying/bullies, more accepting attitudes toward verbal bullying/bullies, and attitudes toward forms of cyberbullying/bullies somewhere in between. Significant sex differences were also obtained; women expressed significant

Subject
Other / interdisciplinary
Source type
Peer-reviewed study
System type
Other
DOI
10.1089/cyber.2011.0369
Catalogue ID
SNmojj22w1-7hkfl8
Pulse AI · ask about this record

Dig deeper with Pulse AI.

Pulse AI has read the whole catalogue. Ask about this record, its theme, or how the findings apply to UK farming and policy — every answer cites the underlying studies.