 Analyzing sub-population profiles and risk factors for school bullyingMichael A. Lawson, Tania Alameda-Lawson, Jenai Downer and Elizabeth Anderson Children and Youth Services Review, 2013, vol. 35, issue 6, 973-983 Abstract: Drawing from a local sample of 1822 7th and 8th grade students, this study used Latent Class Analysis (LCA) and Latent Class Regression Analysis (LCRA) to identify sub-population profiles and risk factors for school bullying. Four sub-population profiles of school bullying risk were yielded from this approach. These profiles included students who presented little need for formal services as well as students who manifested needs for wrap-around support. Importantly, additional regression analyses related student membership in particular risk profile groups to the support they receive from peers, teachers, and parents. Several significant practice implications for bullying prevention and Response-to-Intervention (RTI) frameworks accompany the findings. Above all, school bullying interventions should be implemented with prudence because even the best intended ones carry the potential for harm. Keywords: School bullying; Bullying prevention; Risk factor analysis; Peer effects; School mental health (search for similar items in EconPapers) Downloads: (external link) Related works: Export reference: BibTeX RIS (EndNote, ProCite, RefMan) HTML/Text Persistent link: https://EconPapers.repec.org/RePEc:eee:cysrev:v:35:y:2013:i:6:p:973-983 DOI: 10.1016/j.childyouth.2013.03.006 Access Statistics for this article Children and Youth Services Review is currently edited by Duncan Lindsey More articles in Children and Youth Services Review from Elsevier |
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