Please use this identifier to cite or link to this item: http://www.repositorio.ufop.br/jspui/handle/123456789/9515
Title: The relevance of the school socioeconomic composition and school proportion of repeaters on grade repetition in Brazil : a multilevel logistic model of PISA 2012.
Authors: Ferrão, Maria Eugénia
Costa, Patrícia Mota
Matos, Daniel Abud Seabra
Keywords: Grade repetition
Educational inequity
School composition effect
Multilevel model
Issue Date: 2017
Citation: FERRÃO, M. E.; COSTA, P. M.; MATOS, D. A. S. The relevance of the school socioeconomic composition and school proportion of repeaters on grade repetition in Brazil: a multilevel logistic model of PISA 2012. Large-scale Assessments in Education, v. 5, p. 7-20, 2017. Disponível em: <https://largescaleassessmentsineducation.springeropen.com/articles/10.1186/s40536-017-0036-8>. Acesso em: 16 jan. 2018.
Abstract: The paper extends the literature on grade repetition in Brazil by (a) describing and synthesizing the main research findings and contributions since 1940, (b) enlarging the understanding of the inequity mechanism in education, and (c) providing new find‑ ings on the effects of the school socioeconomic composition and school proportion of repeaters on the individual probability of grade repetition. Based on the analyses of empirical distributions and multilevel logistic modelling of PISA 2012 data, the findings indicate that higher student socioeconomic status is associated with lower probabil‑ ity of repetition, there is a cumulative risk of repetition after an early repetition, the school socioeconomic composition is strongly correlated with the school proportion of repeaters, and both are related to the individual probability of repetition. The results suggest the existence of a pattern that cumulatively reinforces the effects of social disadvantage, in which the school plays a central role.
URI: http://www.repositorio.ufop.br/handle/123456789/9515
metadata.dc.identifier.doi: https://doi.org/10.1186/s40536-017-0036-8
ISSN: 2196-0739
metadata.dc.rights.license: This article is distributed under the terms of the Creative Commons Attribution 4.0 International License (http://creativecommons.org/licenses/by/4.0/), which permits unrestricted use, distribution, and reproduction in any medium, provided you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons license, and indicate if changes were made. Fonte: o próprio artigo.
Appears in Collections:DEEDU - Artigos publicados em periódicos

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