Abstract
Violence in schools is one of the main concerns in Latin American countries and is one of the main threats for schools to be effective in providing high-quality education. For this work, data from ICCS 2016 is used to fit decision trees and cluster robust logistic regression models to explore how some schools immersed in violent environments manage to be resilient to violence. Our results show that the variables most consistently associated with higher probabilities of a school being resilient to violence are those related to the students’ attitudes and to a lesser extent, students’ civic knowledge and family background. The paper concludes by discussing the possible policy and practice implications in the context of each of the countries analysed.
| Original language | English |
|---|---|
| Article number | 101839 |
| Journal | International Journal of Educational Research |
| Volume | 109 |
| DOIs | |
| Publication status | Published - 20 Jul 2021 |
Funding
This paper was supported by the Universidad Internacional de la Rioja and the International Mobility Programme (On the move) of the Society of Spanish Researchers in the United Kingdom (CERU by its acronym in Spanish) 2018/19.
| Funders |
|---|
| CERU |
| Society of Spanish Researchers in the United Kingdom |
UN SDGs
This output contributes to the following UN Sustainable Development Goals (SDGs)
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SDG 16 Peace, Justice and Strong Institutions
Keywords
- Cluster robust logistic regression
- Data mining
- ICCS
- Resilient schools
- School violence
ASJC Scopus subject areas
- Education
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