1,192
Views
9
CrossRef citations to date
0
Altmetric
Articles

Bullying in Middle Schools: Results from a Four-School Survey

, , , , &
Pages 264-279 | Received 09 Oct 2007, Accepted 14 Mar 2008, Published online: 10 Jun 2009
 

Abstract

The suicide of a cyberbullied student prompted the school-aged authors of this article to administer a Child Abuse Prevention Services survey to 587 students in seventh and eighth grades at four schools. Results showed that 4 of 5 students felt bullying is a problem, with 1 in 3 admitting to having bullied someone. Of those who did nothing when they witnessed bullying, 4 of 10 gave as the reason, “It wasn't my business.” While three quarters of respondents felt “safe/very safe” in school, many are perpetrators (one third) and victims (half). With over half reporting doing nothing the last time they saw someone being bullied, and 1 in 4 stating they did not intervene because they “didn't care,” a concerning level of apathy toward bullying was revealed.

We thank the Child Abuse Prevention Services (CAPS), Roslyn, New York, for sharing its survey instrument used for this study; Dr. Duolao Wang, a statistician at the University of London who offered invaluable guidance and expertise; the middle schools for agreeing to be part of this study; Paul Auster who administered surveys at one school; the parents of the teen authors of this article who gave ongoing support; and Jeffrey Johnston's family, whose efforts made the Florida CitationAnti-Bullying Bill (2007) possible. We dedicate this article to Jeffrey Johnston.

Log in via your institution

Log in to Taylor & Francis Online

PDF download + Online access

  • 48 hours access to article PDF & online version
  • Article PDF can be downloaded
  • Article PDF can be printed
USD 53.00 Add to cart

Issue Purchase

  • 30 days online access to complete issue
  • Article PDFs can be downloaded
  • Article PDFs can be printed
USD 291.00 Add to cart

* Local tax will be added as applicable

Related Research

People also read lists articles that other readers of this article have read.

Recommended articles lists articles that we recommend and is powered by our AI driven recommendation engine.

Cited by lists all citing articles based on Crossref citations.
Articles with the Crossref icon will open in a new tab.