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 journalArticle

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
JournalInternational Journal of Mental Health and Addiction
DOIs
Publication statusAccepted/In press - 2020

Keywords

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

ASJC Scopus subject areas

  • Psychiatry and Mental health

Fingerprint Dive into the research topics of 'Empirically Based Classification of Peer Violence in a Nationally Representative Sample of Adolescents: a Latent Class Analysis'. Together they form a unique fingerprint.

  • Cite this