Investigating factors associated with bullying utilizing latent class analysis among adolescents

Jin LIU, Siying GUO, Rebecca WEISSMAN, Hongdou LIU

Research output: Contribution to journalArticlespeer-review

Abstract

Few studies have been conducted to investigate typologies of perpetration and victimization of traditional and cyber bullying together to develop a risk profile by considering factors from different contexts. National data from the 2009–2010 Health Behavior in School-Aged Children study in the United States was utilized for these purposes. Four latent classes were identified: severe bully-victims, moderate bullies, moderate victims and those not involved. Various individual, family, peer and school factors were found to be associated with bullying involvement. The risk profiles developed based on these factors can be used to provide a theoretical background for researchers and practical guides for schools to offer interventions to students, which will benefit adolescent development in the long run. Copyright © 2020 The Author(s).
Original languageEnglish
JournalSchool Psychology International
Early online date27 Oct 2020
DOIs
Publication statusE-pub ahead of print - 27 Oct 2020

Citation

Liu, J., Guo, S., Weissman, R., & Liu, H. (2020). Investigating factors associated with bullying utilizing latent class analysis among adolescents. School Psychology International. Advance online publication. doi: 10.1177/0143034320967061

Keywords

  • Perpetration and victimization
  • Traditional bullying
  • Cyberbullying
  • Latent class analysis
  • Social-ecological theory
  • PG student publication

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