Frequency, Power Differential, and Intentionality and the Relationship to Anxiety, Depression, and Self-Esteem for Victims of Bullying
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Bullying behavior is related to higher levels of internalizing distress and can be defined as including three aspects: frequency, intentionality, and power differential. However, bullying behavior is most often measured using only one aspect: frequency.
The current study investigated the relative importance of several important constructs associated with bullying and their relations to social-emotional outcomes. Specifically, three aspects of bullying behavior were assessed: frequency, intentionality, and power differential.
The relations between these aspects of victims of bullying and social-emotional outcomes were investigated in a sample of 612 7th and 8th grade students in a large suburban middle school.
Results showed that power differential and intentionality meaningfully contributed to anxiety, depression, and self-esteem over and above frequency.
Our findings demonstrate strong support for the utility of assessing power differential and intentionality along with frequency of victimization experiences, as there was predictive power in intentionality and power differential above and beyond frequency in relation to concurrent levels of anxiety, depression, and self-esteem.
KeywordsBullying Victimization Power Intention
- Aiken, L. S., & West, S. G. (1991). Multiple regression: Testing and interpreting interactions. Newbury Park, CA: Sage.Google Scholar
- Arseneault, L., Walsh, E., Trzesniewski, K., Newcombe, R., Caspi, A., & Moffitt, T. E. (2006). Bullying victimization uniquely contributes to adjustment problems in young children: A nationally representative cohort study. Pediatrics, 118, 130–138. doi: 10.1542/peds.2005-2388.PubMedCrossRefGoogle Scholar
- Cohen, J. (1988). Statistical power for the behavioral sciences (2nd ed.). Hillsdale, NJ: Erlbaum.Google Scholar
- Cohen, J., Cohen, P., West, S. G., & Aiken, L. S. (2003). Applied multiple regression/correlation analysis for the behavioral sciences (3rd ed.). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
- Cornell, D. G., Sheras, P. L., & Cole, J. C. M. (2006). Assessment of bullying. In S. R. Jimerson & M. J. Furlong (Eds.), Handbook of school violence and school safety: From research to practice (pp. 191–209). Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
- Davidson, L. M., & Demaray, M. K. (2007). Social support as a moderator between victimization and internalizing/externalizing distress from bullying. School Psychology Review, 36, 383–405.Google Scholar
- Demaray, M. K., & Malecki, C. K. (2003). Perceptions of the frequency and importance of social support by students classified as victims, bullies, and bully/victims in an urban middle school. School Psychology Review, 32, 471–489.Google Scholar
- Espelage, D. L., & Holt, M. K. (2001). Bullying and victimization during early adolescence: Peer influences and psychosocial correlates. In R. A. Geffner, M. Loring, & C. Young (Eds.), Bullying behavior: Current issues, research, and interventions (pp. 123–142). New York: The Hawthorne Press.Google Scholar
- Espelage, D. L., Mebane, S., Swearer, S. M., & Turner, R. (2003). Gender differences in bullying: Moving beyond mean level differences. In D. L. Espelage & S. M. Swearer (Eds.), Bullying in American schools: A social ecological perspective on prevention and intervention. Mahwah, NJ: Lawrence Erlbaum Associates.Google Scholar
- Espelage, D. L., & Swearer, S. M. (2003). Research on school bullying and victimization: What have we learned and where do we go from here? School Psychology Review, 32, 365–383.Google Scholar
- Furlong, M. J., & Chung, A. (1995). Who are the victims of school violence? A comparison of student non-victims and multi-victims. Education & Treatment of Children, 18(3), 282–298.Google Scholar
- Kingery, P. (2001). The National School Crime and Safety Survey—Revised Student Form 1. Washington, DC: The Hamilton-Fish Institute.Google Scholar
- Menard, S. (1995). Applied logistical regression analysis: Sage University Series no quantitative applications in the social sciences. Thousand Oaks, CA: Sage.Google Scholar
- Nansel, T. R., Overpeck, M., Pilla, R. S., Rualn, W. J., Simons-Morton, B., & Scheidt, P. (2001). Bullying behaviors among US youth: Prevalence and association with psychosocial adjustment. Journal of the American Medical Association, 285, 2094–2100. doi: 10.1001/jama.285.16.2094.PubMedCentralPubMedCrossRefGoogle Scholar
- Reynolds, C. R., & Kamphaus, R. W. (2004). The Behavioral Assessment System for Children-Second Edition. Circle Pines, MN: American Guidance Service Inc.Google Scholar
- Swearer, S. M. (2001). Bully survey. Unpublished survey, University of Nebraska-Lincoln.Google Scholar
- Swearer, S. M., Song, S. Y., Cary, P. T., Eagle, J. W., & Mickelson, W. T. (2001). Psychosocial correlates in bullying and victimization: The relationship between depression, anxiety, and bully/victim status. In R. A. Geffner, M. Loring, & C. Young (Eds.), Bullying behavior: Current issues, research, and interventions (pp. 95–121). New York: The Hawthorne Press.Google Scholar