Understanding for Which Students and Classes a Socio-Ecological Aggression Prevention Program Works Best: Testing Individual Student and Class Level Moderators

Author:

Bardach LisaORCID,Yanagida TakuyaORCID,Gradinger PetraORCID,Strohmeier DagmarORCID

Abstract

AbstractSchool-based aggression prevention programs may not be equally effective for all students and classes, depending on student and class characteristics. This study investigated moderators of a cluster randomized controlled socio-ecological aggression prevention program’s effectiveness (change from pretest to posttest, sample: 2,042 preadolescents, mean age = 11.7 years, SD = 0.09, 47.6% girls) and sustainability (change from posttest to follow-up test, sample: 659 preadolescents, mean age = 12.7 years, SD = 0.08, 47.9% girls). The program worked better in multicultural classes, as greater ethnic diversity strengthened the program’s effectiveness and sustainability. Moderating effects of a positive social class climate and higher baseline levels of aggressive behavior and victimization were also found. These results advance socio-ecological theorizing and can help develop more contextualized interventions.

Publisher

Springer Science and Business Media LLC

Subject

Social Sciences (miscellaneous),Developmental and Educational Psychology,Education,Social Psychology

Reference65 articles.

1. Allport, G. W. (1954). The nature of prejudice. Addison-Wesley.

2. Andreou, E., Didaskalou, E., & Vlachou, A. (2008). Outcomes of a curriculum-based anti-bullying intervention program on students’ attitudes and behavior. Emotional and Behavioural Difficulties, 43(4), 235–248. https://doi.org/10.1080/13632750802442110.

3. Bardach, L., Yanagida, T., & Strohmeier, D. (2021). Revisiting the intricate interplay between aggression and preadolescents’ school functioning: Longitudinal predictions and multi-level latent profiles. Developmental Psychology. Advance Online Publication. https://doi.org/10.1037/dev0001317.

4. Bronfenbrenner, U. (1979). The Ecology of Human Development – Experiments by Nature and Design. Harvard University Press.

5. Bovaird, J. A., & Koziol, N. A. (2012). Measurement models for ordered categorical indicators in structural equation modeling. In R. H. Hoyle, D. Kaplan, G. Marcoulides, & S. West (Eds.), Handbook of Structural Equation Modeling (pp. 495–511). The Guilford Press.

Cited by 2 articles. 订阅此论文施引文献 订阅此论文施引文献,注册后可以免费订阅5篇论文的施引文献,订阅后可以查看论文全部施引文献

同舟云学术

1.学者识别学者识别

2.学术分析学术分析

3.人才评估人才评估

"同舟云学术"是以全球学者为主线,采集、加工和组织学术论文而形成的新型学术文献查询和分析系统,可以对全球学者进行文献检索和人才价值评估。用户可以通过关注某些学科领域的顶尖人物而持续追踪该领域的学科进展和研究前沿。经过近期的数据扩容,当前同舟云学术共收录了国内外主流学术期刊6万余种,收集的期刊论文及会议论文总量共计约1.5亿篇,并以每天添加12000余篇中外论文的速度递增。我们也可以为用户提供个性化、定制化的学者数据。欢迎来电咨询!咨询电话:010-8811{复制后删除}0370

www.globalauthorid.com

TOP

Copyright © 2019-2024 北京同舟云网络信息技术有限公司
京公网安备11010802033243号  京ICP备18003416号-3