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Characteristics of the schools resilient to violence. A study based on data from ICCS 2016 in Chile, Mexico and Colombia
dc.contributor.author | Arroyo Resino, Delia | |
dc.contributor.author | Sandoval-Hernandez, Andrés | |
dc.contributor.author | Eryilmaz, Nurullah | |
dc.date | 2021 | |
dc.date.accessioned | 2022-09-05T09:29:59Z | |
dc.date.available | 2022-09-05T09:29:59Z | |
dc.identifier.issn | 0883-0355 | |
dc.identifier.uri | https://reunir.unir.net/handle/123456789/13445 | |
dc.description.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. | es_ES |
dc.language.iso | eng | es_ES |
dc.publisher | International Journal of Educational Research | es_ES |
dc.relation.ispartofseries | ;vol. 109 | |
dc.relation.uri | https://www.sciencedirect.com/science/article/pii/S0883035521001087?via%3Dihub | es_ES |
dc.rights | openAccess | es_ES |
dc.subject | school violence | es_ES |
dc.subject | resilient schools | es_ES |
dc.subject | data mining | es_ES |
dc.subject | cluster robust logistic regression | es_ES |
dc.subject | ICCS | es_ES |
dc.subject | JCR | es_ES |
dc.subject | Scopus | es_ES |
dc.title | Characteristics of the schools resilient to violence. A study based on data from ICCS 2016 in Chile, Mexico and Colombia | es_ES |
dc.type | Articulo Revista Indexada | es_ES |
reunir.tag | ~ARI | es_ES |
dc.identifier.doi | https://doi.org/10.1016/j.ijer.2021.101839 |
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