The DOI matches its Crossref record; 30 of the 30 references it cites were found in a registry or an index.
Traditional bullying as a potential warning sign of cyberbullying
Abstract
Although traditional bullying and cyberbullying share features in common, they differ in important ways. For example, cyberbullying is often characterized by perceived anonymity and can occur any time of the day or night. Conversely, perpetrators of traditional bullying are known to the victim, and most traditional bullying occurs at school. Yet, some researchers have suggested that involvement in the two types of bullying may be related. However, little research has modeled the system of relationships among the perpetration and victimization of traditional bullying and cyberbullying. The present study uses path analysis to arrive at a suitable model of these relationships, and describes the gender differences in these relationships. Students ( N = 4,531) in grades 6 through 12 completed a survey examining their involvement in traditional bullying and cyberbullying. Analysis proceeded by making fit comparisons among hypothesized path models. More frequent traditional bullying perpetration and victimization were associated with higher frequency of their electronic counterparts. However, the relationship between traditional perpetration and victimization was stronger for females than males as was the effect of traditional victimization on cyber-victimization. Implications for school practitioners are presented.
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“The worst psychological impact has been related to being a bully/victim.”
From A review of cyberbullying and suggestions for online psychological therapy (2015) · cites this paper as Kowalski et al., 2012
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Metadata
- Authors
- Kowalski, R. M., Morgan, C. A., & Limber, S. P.
- Affiliations
- Clemson University (US)
- Corresponding author
- Kowalski, Robin M.
- Venue
- School Psychology International
- Publisher
- SAGE Publications
- Published
- 2012-09-20
- Volume
- 33
- Issue
- 5
- Pages
- 505-519
- ISSN
- 0143-0343 (ISSN-L)
- 1461-7374
- OpenAlex
- W2098202740
- Cited by
- 310
- References
- 30
- Citations by year
- 2026: 5 · 2025: 7 · 2024: 17 · 2023: 25 · 2022: 25 · 2021: 27 · 2020: 30 · 2019: 23 · 2018: 24 · 2017: 23 · 2016: 20 · 2015: 38 · 2014: 24 · 2013: 16 · 2012: 6
- FWCI
- 40.57
- Type
- journal article
- Language
- en
- Open access
- closed
- Locations
- School Psychology International (publishedVersion)
- Topics
- Social Sciences › Psychology › Social Psychology › Bullying, Victimization, and Aggression
- Social Sciences › Business, Management and Accounting › Organizational Behavior and Human Resource Management › Workplace Violence and Bullying
- Physical Sciences › Computer Science › Artificial Intelligence › Hate Speech and Cyberbullying Detection
- Keywords
- traditional bullying, cyberbullying, bullying perpetration, bullying victimization, warning signs, gender differences, school students, perceived anonymity, path analysis
About these checks
Registry, retraction, Cites and statistics results are computed, not judged, with one exception: a printed reference that no index lists is read once by a model before it counts as a citation error. Claims are extracted by a model and kept only when their quote appears verbatim in the text; each cited source is then checked, with a model’s help, for whether it says what the claim relies on. Those verdicts can be wrong — read the claim’s quote and the cited source before relying on one.
Statistics and arithmetic are recomputed, not judged.
Confidence bands are shown only for fields calibrated on our annotated test set. None is calibrated yet, so no band is shown.
What counts as a claim ›How we measure confidence ›How we check this ›
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