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Analyzing sub-population profiles and risk factors for school bullying

Author

Listed:
  • Lawson, Michael A.
  • Alameda-Lawson, Tania
  • Downer, Jenai
  • Anderson, Elizabeth

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.

Suggested Citation

  • Lawson, Michael A. & Alameda-Lawson, Tania & Downer, Jenai & Anderson, Elizabeth, 2013. "Analyzing sub-population profiles and risk factors for school bullying," Children and Youth Services Review, Elsevier, vol. 35(6), pages 973-983.
    • Handle: RePEc:eee:cysrev:v:35:y:2013:i:6:p:973-983
    DOI: 10.1016/j.childyouth.2013.03.006
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    Cited by:

    1. Yang, Fan & Nelson-Gardell, Debra & Guo, Yuqi, 2018. "The role of strains in negative emotions and bullying behaviors of school-aged children," Children and Youth Services Review, Elsevier, vol. 94(C), pages 290-297.

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