Katharine B Parodi, Melissa K Holt, Pooja Aradhya, Jennifer Greif Green, Gabriel J Merrin
{"title":"A Longitudinal Analysis of Risk and Protective Factors of Bias-Based Bullying Victimization Among Adolescents.","authors":"Katharine B Parodi, Melissa K Holt, Pooja Aradhya, Jennifer Greif Green, Gabriel J Merrin","doi":"10.1177/08862605251318276","DOIUrl":null,"url":null,"abstract":"<p><p>Bias-based bullying (i.e., bullying targeting actual or perceived aspects of one's identity) is a form of interpersonal victimization that has adverse consequences for youth functioning. While research has documented foundational knowledge on bias-based bullying, few studies have incorporated a multilevel longitudinal approach to examining theorized risk and protective factors of this complex phenomenon. The current study addresses this gap by investigating predictors (e.g., school climate and state laws) at multiple social-ecological levels and comparing the magnitude of coefficients. Three data sources were used: (a) data from a sample of adolescents (<i>N</i> = 639) participating in a four-wave longitudinal study regarding their experiences with bias-based bullying, (b) external data on enumerated anti-bullying laws, and (c) external data on protected categories in state hate crime statutes. We estimated a series of latent growth curve models to examine trajectories of bias-based bullying victimization over the 18-month study period and added social-ecological predictors (sociodemographic characteristics, peer support, family support, school climate, enumerated anti-bullying laws, and an index of protected categories in state hate crime laws) of bias-based bullying victimization. Key findings documented that sexual minority youth and youth identifying as another racial identity, non-Hispanic had higher initial bias-based bullying victimization scores, with sexual minority youth decreasing at a significantly more rapid rate than heterosexual youth. Peer support, family support, school climate, and enumerated anti-bullying laws were significantly associated with the intercept factor (i.e., initial status) of bias-based bullying victimization. Notably, school climate emerged as an important protective factor in the fully adjusted model, predicting initial bias-based bullying victimization scores. This study provides new information on risk and protective factors and is critical for tailoring prevention and intervention efforts to mitigate this form of victimization. Bolstering support for vulnerable youth and promoting a positive school climate are recommended.</p>","PeriodicalId":16289,"journal":{"name":"Journal of Interpersonal Violence","volume":" ","pages":"8862605251318276"},"PeriodicalIF":2.6000,"publicationDate":"2025-02-23","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"0","resultStr":null,"platform":"Semanticscholar","paperid":null,"PeriodicalName":"Journal of Interpersonal Violence","FirstCategoryId":"102","ListUrlMain":"https://doi.org/10.1177/08862605251318276","RegionNum":3,"RegionCategory":"心理学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q1","JCRName":"CRIMINOLOGY & PENOLOGY","Score":null,"Total":0}
引用次数: 0
Abstract
Bias-based bullying (i.e., bullying targeting actual or perceived aspects of one's identity) is a form of interpersonal victimization that has adverse consequences for youth functioning. While research has documented foundational knowledge on bias-based bullying, few studies have incorporated a multilevel longitudinal approach to examining theorized risk and protective factors of this complex phenomenon. The current study addresses this gap by investigating predictors (e.g., school climate and state laws) at multiple social-ecological levels and comparing the magnitude of coefficients. Three data sources were used: (a) data from a sample of adolescents (N = 639) participating in a four-wave longitudinal study regarding their experiences with bias-based bullying, (b) external data on enumerated anti-bullying laws, and (c) external data on protected categories in state hate crime statutes. We estimated a series of latent growth curve models to examine trajectories of bias-based bullying victimization over the 18-month study period and added social-ecological predictors (sociodemographic characteristics, peer support, family support, school climate, enumerated anti-bullying laws, and an index of protected categories in state hate crime laws) of bias-based bullying victimization. Key findings documented that sexual minority youth and youth identifying as another racial identity, non-Hispanic had higher initial bias-based bullying victimization scores, with sexual minority youth decreasing at a significantly more rapid rate than heterosexual youth. Peer support, family support, school climate, and enumerated anti-bullying laws were significantly associated with the intercept factor (i.e., initial status) of bias-based bullying victimization. Notably, school climate emerged as an important protective factor in the fully adjusted model, predicting initial bias-based bullying victimization scores. This study provides new information on risk and protective factors and is critical for tailoring prevention and intervention efforts to mitigate this form of victimization. Bolstering support for vulnerable youth and promoting a positive school climate are recommended.
期刊介绍:
The Journal of Interpersonal Violence is devoted to the study and treatment of victims and perpetrators of interpersonal violence. It provides a forum of discussion of the concerns and activities of professionals and researchers working in domestic violence, child sexual abuse, rape and sexual assault, physical child abuse, and violent crime. With its dual focus on victims and victimizers, the journal will publish material that addresses the causes, effects, treatment, and prevention of all types of violence. JIV only publishes reports on individual studies in which the scientific method is applied to the study of some aspect of interpersonal violence. Research may use qualitative or quantitative methods. JIV does not publish reviews of research, individual case studies, or the conceptual analysis of some aspect of interpersonal violence. Outcome data for program or intervention evaluations must include a comparison or control group.