Empirically Based Classification of Peer Violence in a Nationally Representative Sample of Adolescents: a Latent Class Analysis
| Autor: | Éva Jármi, Dóra Várnai, Zsolt Horváth, Róbert Urbán, Gyöngyi Kökönyei, Zsolt Demetrovics, Ágnes Németh |
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| Rok vydání: | 2021 |
| Předmět: |
High probability
medicine.medical_specialty Peer violence Public health 05 social sciences Health behaviour 050301 education Multinomial logistic regression analysis Latent class model Developmental psychology Psychiatry and Mental health Health psychology medicine 0501 psychology and cognitive sciences Class membership Psychology 0503 education 050104 developmental & child psychology |
| Zdroj: | INT J MEN HEALTH ADD INTERNATIONAL JOURNAL OF MENTAL HEALTH AND ADDICTION. |
| Popis: | 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. |
| Databáze: | OpenAIRE |
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