Empirically Based Classification of Peer Violence in a Nationally Representative Sample of Adolescents: a Latent Class Analysis

Dóra E. Várnai, Zsolt Horváth, Éva Jármi, Róbert Urbán, Zsolt Demetrovics, Ágnes Németh, Gyöngyi Kökönyei

Research output: Contribution to journalArticlepeer-review

9 Citations (Scopus)
11 Downloads (Pure)

Abstract

The aim of the study was to investigate the pattern of traditional- and cyberbullying, and fighting involvement and identify its most important correlates in a nationally representative sample. We analyzed the data of Hungarian 11–18-year-old adolescents in the framework of the Health Behaviour in School-aged Children Study. A latent class analysis was performed first and afterwards a multinomial logistic regression analysis to examine factors explaining class membership. Four latent classes were identified: “high probability involvement in all forms of violence”; “low involvement in any forms of violence”; “predominantly involved in traditional bullying and fighting”; “high engagement in online victimization”. As no clear victim or perpetrator group was identified, a high overlap between these violence involvement statuses is reinforced.

Original languageEnglish
Pages (from-to)1745-1758
Number of pages14
JournalInternational Journal of Mental Health and Addiction
Volume19
Issue number5
DOIs
Publication statusPublished - Oct 2021
Externally publishedYes

UN SDGs

This output contributes to the following UN Sustainable Development Goals (SDGs)

  1. SDG 16 - Peace, Justice and Strong Institutions
    SDG 16 Peace, Justice and Strong Institutions

Keywords

  • Bullying
  • Cyberbullying
  • Latent class analysis
  • Perpetration
  • Psychosomatic symptoms
  • Victimization

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