Publication
Title
Deciding whether to look after them, to like it, or leave it : a multidimensional analysis of predictors of positive and negative bystander behavior in cyberbullying among adolescents
Author
Abstract
Background: Positive bystander behavior in cyberbullying among adolescents may effectively mitigate cyberbullying and its harm for the victim. Limited, scattered, and sometimes only qualitative research is available on predictors of positive (e.g. defending, comforting or reporting) and negative (e.g. passive bystanding, joining, reinforcing) bystander behavior in cyberbullying. A multidimensional model and multilevel analysis were therefore applied in this study. Methods: A sample of 1979 adolescents in 7th -9th grade, in 16 schools and 158 classes participated in the study. Analyses were performed in MLwiN 2.32. Results: Analyses confirmed the multifaceted nature of bystander behavior and behavioral intention. No school level effects, and only limited class effects were found. Strongest individual predictors of positive bystander behavior were a positive intention, and friendship with the victim. Intention for positive bystander behavior was most predicted by positive outcome expectations of their actions for the victim. Negative bystander behavior was most predicted by intentions for negative behavior, and moral disengagement attitudes. Intentions to act as a negative bystander were most predicted by positive attitudes towards passive bystanding and a lack of skills (social, empathic, coping). Moral disengagement at classroom level also predicted positive behavior and behavioral intentions, and negative behavioral intentions, but not negative behavior. Information days for pupils on cyberbullying was a significant school-level predictor of the intention to act as a positive bystander. Conclusions: Future research and interventions should take the multidimensional nature of cyberbullying bystander behavior into account. Implications for research and practice are discussed. (C) 2015 Elsevier Ltd. All rights reserved.
Language
English
Source (journal)
Computers in human behavior. - Elmsford, N.Y.
Publication
Elmsford, N.Y. : 2016
ISSN
0747-5632
Volume/pages
57(2016), p. 398-415
ISI
000370457800044
Full text (Publisher's DOI)
Full text (open access)
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UAntwerpen
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Publication type
Subject
Affiliation
Publications with a UAntwerp address
External links
Web of Science
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Identification
Creation 07.01.2016
Last edited 12.07.2017
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