Volume 45, Issue 4
(December 2016)

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Volume 45, Issue 4
(December 2016)
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General Versus Specific Methods for Classifying U.S. Students' Bullying Involvement: Investigating Classification Agreement, Prevalence Rates, and Concurrent Validity

Tyler L. Renshaw, Kelsie N. Hammons, and Anthony J. Roberson

Louisiana State University

Correspondence regarding this article should be addressed to Tyler L. Renshaw,
Department of Psychology, Louisiana State University, 236 Audubon Hall, Baton Rouge, LA 70803
; e-mail:

The authors are grateful to Ronald J. Iannotti for making the Health Behavior in School-aged Children survey datasets and their codebooks available for public use.

Tyler L. Renshaw, PhD, NCSP, is an assistant professor in the School Psychology Doctoral Program within the Department of Psychology at Louisiana State University. His orientation toward psychology is grounded in contextual behavioral science, and his research interests are broadly focused on school mental health.

Kelsie N. Hammons is a graduate student in the School Psychology Doctoral Program within the Department of Psychology at Louisiana State University. Her research interests include minimizing disruptive behavior and fostering the well-being of youth at school.

Anthony J. Roberson is a graduate student in the School Psychology Doctoral Program within the Department of Psychology at Louisiana State University. His research interests include applications of positive psychology to improve school mental health services.

Associate Editor: Rich Gilman

Abstract

The purpose of this study is to investigate the differential functionality of 2 general self-report items compared with 18 specific self-report items for classifying U.S. students' bullying involvement. First, by use of four samples from the Health Behavior in School-aged Children survey (HBSC; 1997–1998, N = 15,686; 2001–2002, N = 14,817; 2005–2006, N = 9,227; and 2009–2010, N = 12,642), prevalence rates of bullying involvement were calculated with classifications derived from general and specific items. Next, by use of only the most recent HBSC sample (2009–2010), concurrent validity of the classifications derived from general and specific items was investigated by exploring classification agreement as well as the association of each classification with self-reported student well-being indicators (i.e., life satisfaction, overall health, attitude toward school, academic performance, and general attention). Findings indicate that both bullying involvement classifications yielded drastically different prevalence rates but that trends for both methods suggested bullying involvement is decreasing over time. Results also show that general and specific classification methods had poor agreement but that there were no substantive differences in their associations with student well-being indicators. Implications for research and practice are discussed.

Received: March 25, 2015; Accepted: October 27, 2015;

Copyright 2016 by the National Association of School Psychologists