Literature DB >> 22878779

Examining school-based bullying interventions using multilevel discrete time hazard modeling.

Stephanie L Ayers1, M Alex Wagaman, Jennifer Mullins Geiger, Monica Bermudez-Parsai, E C Hedberg.   

Abstract

Although schools have been trying to address bullying by utilizing different approaches that stop or reduce the incidence of bullying, little remains known about what specific intervention strategies are most successful in reducing bullying in the school setting. Using the social-ecological framework, this paper examines school-based disciplinary interventions often used to deliver consequences to deter the reoccurrence of bullying and aggressive behaviors among school-aged children. Data for this study are drawn from the School-Wide Information System (SWIS) with the final analytic sample consisting of 1,221 students in grades K - 12 who received an office disciplinary referral for bullying during the first semester. Using Kaplan-Meier Failure Functions and Multi-level discrete time hazard models, determinants of the probability of a student receiving a second referral over time were examined. Of the seven interventions tested, only Parent-Teacher Conference (AOR = 0.65, p < .01) and Loss of Privileges (AOR = 0.71, p < .10) were significant in reducing the rate of the reoccurrence of bullying and aggressive behaviors. By using a social-ecological framework, schools can develop strategies that deter the reoccurrence of bullying by identifying key factors that enhance a sense of connection between the students' mesosystems as well as utilizing disciplinary strategies that take into consideration student's microsystem roles.

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Year:  2012        PMID: 22878779      PMCID: PMC3896994          DOI: 10.1007/s11121-012-0280-7

Source DB:  PubMed          Journal:  Prev Sci        ISSN: 1389-4986


  21 in total

Review 1.  Zero tolerance, zero evidence: an analysis of school disciplinary practice.

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Journal:  New Dir Youth Dev       Date:  2001

2.  Bullying: who does what, when and where? Involvement of children, teachers and parents in bullying behavior.

Authors:  M Fekkes; F I M Pijpers; S P Verloove-Vanhorick
Journal:  Health Educ Res       Date:  2004-07-14

3.  Estimating Multi-Level Discrete-Time Hazard Models Using Cross-Sectional Data: Neighborhood Effects on the Onset of Adolescent Cigarette Use.

Authors:  Sean F Reardon; Robert T Brennan; Stephen L Buka
Journal:  Multivariate Behav Res       Date:  2002-07-01       Impact factor: 5.923

4.  Effects of a skills-based prevention program on bullying and bully victimization among elementary school children.

Authors:  Jeffrey M Jenson; William A Dieterich
Journal:  Prev Sci       Date:  2007-10-30

5.  Adolescent bullying involvement and perceived family, peer and school relations: commonalities and differences across race/ethnicity.

Authors:  Aubrey L Spriggs; Ronald J Iannotti; Tonja R Nansel; Denise L Haynie
Journal:  J Adolesc Health       Date:  2007-07-12       Impact factor: 5.012

Review 6.  Antibullying programs in schools: how effective are evaluation practices?

Authors:  Wendy Ryan; J David Smith
Journal:  Prev Sci       Date:  2009-09

7.  Bullying behaviors among US youth: prevalence and association with psychosocial adjustment.

Authors:  T R Nansel; M Overpeck; R S Pilla; W J Ruan; B Simons-Morton; P Scheidt
Journal:  JAMA       Date:  2001-04-25       Impact factor: 56.272

8.  Bullying, depression, and suicidal ideation in Finnish adolescents: school survey.

Authors:  R Kaltiala-Heino; M Rimpelä; M Marttunen; A Rimpelä; P Rantanen
Journal:  BMJ       Date:  1999-08-07

9.  The effect of non-family experiences on age of marriage in a setting of rapid social change.

Authors:  Scott T Yabiku
Journal:  Popul Stud (Camb)       Date:  2005-11

10.  Bully prevention in positive behavior support.

Authors:  Scott W Ross; Robert H Horner
Journal:  J Appl Behav Anal       Date:  2009
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  5 in total

Review 1.  Effect of aggression and bullying on children and adolescents: implications for prevention and intervention.

Authors:  Stephen S Leff; Tracy Evian Waasdorp
Journal:  Curr Psychiatry Rep       Date:  2013-03       Impact factor: 5.285

2.  Psychosocial profile of bullies, victims, and bully-victims: a cross-sectional study.

Authors:  Marie Leiner; Alok Kumar Dwivedi; Maria Theresa Villanos; Namrata Singh; Dan Blunk; Jesus Peinado
Journal:  Front Pediatr       Date:  2014-01-14       Impact factor: 3.418

3.  Effect of education based on socio-ecological theory on bullying in students: an educational study.

Authors:  Hedayatallah Shams; Gholamreza Garmaroudi; Saharnaz Nedjat; Mir Saeed Yekaninejad
Journal:  Electron Physician       Date:  2018-07-25

4.  Protocol for the design of an instrument to measure preadolescent children's self-report of covert aggression and bullying.

Authors:  Helen Jean Nelson; Garth Edward Kendall; Sharyn Burns; Kimberly Schonert-Reichl
Journal:  BMJ Open       Date:  2015-11-09       Impact factor: 2.692

5.  School Bullies' Intention to Change Behavior Following Teacher Interventions: Effects of Empathy Arousal, Condemning of Bullying, and Blaming of the Perpetrator.

Authors:  Claire F Garandeau; Annina Vartio; Elisa Poskiparta; Christina Salmivalli
Journal:  Prev Sci       Date:  2016-11
  5 in total

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