The reproduction of inequalities in access to educational statistics

Detalhes bibliográficos
Autor(a) principal: Menezes , Vitor Matheus Oliveira de
Data de Publicação: 2023
Outros Autores: Bento, Fabiana da Silva, Garcia, Beatriz Silva
Tipo de documento: Artigo
Idioma: por
eng
Título da fonte: Cadernos de Pesquisa (Fundação Carlos Chagas. Online)
Texto Completo: https://publicacoes.fcc.org.br/cp/article/view/10153
Resumo: This article analyzes the factors that restrict the availability of educational data. Focusing on secondary school, the article demonstrates that most of those municipalities and schools which, in 2022, did not have data available for the Sistema de Avaliação da Educação Básica [Basic Education Assessment System] (Saeb), either presented low average proficiency indicators in 2019, or did not have data available in 2019. By means of logistic regression, the article demonstrates that the likelihood of a municipality achieving the minimum participation rate for the Saeb, in 2022, was greater amongst those with a high average proficiency in 2019, a greater number of enrollments, and more effective responses to the Covid-19 pandemic. The results demonstrate a reproduction of educational inequalities in the availability of data.
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spelling The reproduction of inequalities in access to educational statisticsLa reproducción de las desigualdades en el acceso a las estadísticas educativasLa reproduction des inégalités dans l’access aux statistiques de l’éducationA reprodução das desigualdades no acesso às estatísticas educacionaisEducação BásicaIndicadores EducacionaisSaebDesigualdades SocioeducacionaisEducação BásicaIndicadores educacionaisIdebDesigualdades SocioeducacionaisBasic EducationEducational IndicatorsSaebSocio-educational InequalitiesEducación BásicaIndicadores EducativosSaebDesigualdades SocioeducativasÉducation de BaseIndicateurs ÉducatifsSaebInégalités Socio-éducativesThis article analyzes the factors that restrict the availability of educational data. Focusing on secondary school, the article demonstrates that most of those municipalities and schools which, in 2022, did not have data available for the Sistema de Avaliação da Educação Básica [Basic Education Assessment System] (Saeb), either presented low average proficiency indicators in 2019, or did not have data available in 2019. By means of logistic regression, the article demonstrates that the likelihood of a municipality achieving the minimum participation rate for the Saeb, in 2022, was greater amongst those with a high average proficiency in 2019, a greater number of enrollments, and more effective responses to the Covid-19 pandemic. The results demonstrate a reproduction of educational inequalities in the availability of data.Este artículo analiza cuales factores condicionan la disponibilidad de los datos educativos. Centrándose en la educación secundaria, el artículo demuestra que los municipios y las escuelas que, en 2022, no contaban con datos disponibles para el Sistema de Avaliação da Educação Básica [Sistema de Evaluación de la Educación Básica] (Saeb) presentaron, en su mayoría, bajos indicadores en el promedio de competencia en 2019, o tampoco tenían datos disponibles en 2019. Por medio de una regresión logística, el artículo demuestra que la probabilidad de que un municipio haya alcanzado la tasa mínima de participación para el Saeb, en 2022, fue mayor entre aquellos con alto promedio de competencia en 2019, mayor cantidad de matrículas y respuestas más efectivas a la pandemia de covid-19. Los resultados indican una reproducción de las desigualdades educativas en la disponibilidad de los datos.Cet article analyse les facteurs qui conditionnent la disponibilité des données sur l’éducation. Centré sur l’enseignement secondaire, l’article montre que les municipalités et les écoles qui, en 2022, ne disposaient pas de données à intégrer dans le Sistema de Avaliação da Educação Básica [Système d’évaluation de l’enseignement de base] (Saeb) avaient, pour la plupart, de faibles indicateurs moyens de performance en 2019, ou ne disposaient pas de données en 2019. À l’aide d’une régression logistique, l’article montre que la probabilité qu’une municipalité atteigne le taux de participation minimum requis par le Saeb en 2022 était plus élevé parmi celles avec un indicateur moyen de performance élevé en 2019, un plus grand nombre d’inscriptions scolaires et des réponses plus efficaces à la pandémie de covid-19. Les résultats indiquent une reproduction des inégalités éducatives dans la disponibilité des données.Este artigo analisa quais fatores condicionam a disponibilidade dos dados educacionais. Com foco no ensino médio, o artigo demonstra que os municípios e as escolas que, em 2022, não tinham dados disponíveis para o Sistema de Avaliação da Educação Básica (Saeb) apresentaram, em sua maioria, baixos indicadores médios de proficiência em 2019, ou também não tinham dados disponíveis em 2019. Por meio de uma regressão logística, o artigo demonstra que a probabilidade de um município ter alcançado a taxa mínima de participação para o Saeb, em 2022, foi maior entre aqueles com alta proficiência média em 2019, maior quantidade de matrículas e respostas mais efetivas à pandemia de covid-19. Os resultados indicam uma reprodução das desigualdades educacionais na disponibilidade dos dados.Fundação Carlos Chagas2023-10-03info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfapplication/pdfhttps://publicacoes.fcc.org.br/cp/article/view/10153Cadernos de Pesquisa; Vol. 53 (2023); e10153Cadernos de Pesquisa; Vol. 53 (2023); e10153Cadernos de Pesquisa; Vol. 53 (2023); e10153Cadernos de Pesquisa; v. 53 (2023); e101531980-53140100-1574reponame:Cadernos de Pesquisa (Fundação Carlos Chagas. Online)instname:Fundação Carlos Chagas (FCC)instacron:FCCporenghttps://publicacoes.fcc.org.br/cp/article/view/10153/4668https://publicacoes.fcc.org.br/cp/article/view/10153/4669https://publicacoes.fcc.org.br/cp/article/view/10153/4778https://publicacoes.fcc.org.br/cp/article/view/10153/4779https://publicacoes.fcc.org.br/cp/article/view/10153/4780https://publicacoes.fcc.org.br/cp/article/view/10153/4781Copyright (c) 2023 Cadernos de Pesquisahttps://creativecommons.org/licenses/by-nc/4.0info:eu-repo/semantics/openAccessMenezes , Vitor Matheus Oliveira deBento, Fabiana da SilvaGarcia, Beatriz Silva2024-04-04T12:04:30Zoai:ojs.publicacoes.fcc.org.br:article/10153Revistahttp://publicacoes.fcc.org.br/ojs/index.php/cp/indexPRIhttps://old.scielo.br/oai/scielo-oai.phpcadpesq@fcc.org.br||cadpesq@fcc.org.br1980-53140100-1574opendoar:2024-04-04T12:04:30Cadernos de Pesquisa (Fundação Carlos Chagas. Online) - Fundação Carlos Chagas (FCC)false
dc.title.none.fl_str_mv The reproduction of inequalities in access to educational statistics
La reproducción de las desigualdades en el acceso a las estadísticas educativas
La reproduction des inégalités dans l’access aux statistiques de l’éducation
A reprodução das desigualdades no acesso às estatísticas educacionais
title The reproduction of inequalities in access to educational statistics
spellingShingle The reproduction of inequalities in access to educational statistics
Menezes , Vitor Matheus Oliveira de
Educação Básica
Indicadores Educacionais
Saeb
Desigualdades Socioeducacionais
Educação Básica
Indicadores educacionais
Ideb
Desigualdades Socioeducacionais
Basic Education
Educational Indicators
Saeb
Socio-educational Inequalities
Educación Básica
Indicadores Educativos
Saeb
Desigualdades Socioeducativas
Éducation de Base
Indicateurs Éducatifs
Saeb
Inégalités Socio-éducatives
title_short The reproduction of inequalities in access to educational statistics
title_full The reproduction of inequalities in access to educational statistics
title_fullStr The reproduction of inequalities in access to educational statistics
title_full_unstemmed The reproduction of inequalities in access to educational statistics
title_sort The reproduction of inequalities in access to educational statistics
author Menezes , Vitor Matheus Oliveira de
author_facet Menezes , Vitor Matheus Oliveira de
Bento, Fabiana da Silva
Garcia, Beatriz Silva
author_role author
author2 Bento, Fabiana da Silva
Garcia, Beatriz Silva
author2_role author
author
dc.contributor.author.fl_str_mv Menezes , Vitor Matheus Oliveira de
Bento, Fabiana da Silva
Garcia, Beatriz Silva
dc.subject.por.fl_str_mv Educação Básica
Indicadores Educacionais
Saeb
Desigualdades Socioeducacionais
Educação Básica
Indicadores educacionais
Ideb
Desigualdades Socioeducacionais
Basic Education
Educational Indicators
Saeb
Socio-educational Inequalities
Educación Básica
Indicadores Educativos
Saeb
Desigualdades Socioeducativas
Éducation de Base
Indicateurs Éducatifs
Saeb
Inégalités Socio-éducatives
topic Educação Básica
Indicadores Educacionais
Saeb
Desigualdades Socioeducacionais
Educação Básica
Indicadores educacionais
Ideb
Desigualdades Socioeducacionais
Basic Education
Educational Indicators
Saeb
Socio-educational Inequalities
Educación Básica
Indicadores Educativos
Saeb
Desigualdades Socioeducativas
Éducation de Base
Indicateurs Éducatifs
Saeb
Inégalités Socio-éducatives
description This article analyzes the factors that restrict the availability of educational data. Focusing on secondary school, the article demonstrates that most of those municipalities and schools which, in 2022, did not have data available for the Sistema de Avaliação da Educação Básica [Basic Education Assessment System] (Saeb), either presented low average proficiency indicators in 2019, or did not have data available in 2019. By means of logistic regression, the article demonstrates that the likelihood of a municipality achieving the minimum participation rate for the Saeb, in 2022, was greater amongst those with a high average proficiency in 2019, a greater number of enrollments, and more effective responses to the Covid-19 pandemic. The results demonstrate a reproduction of educational inequalities in the availability of data.
publishDate 2023
dc.date.none.fl_str_mv 2023-10-03
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://publicacoes.fcc.org.br/cp/article/view/10153
url https://publicacoes.fcc.org.br/cp/article/view/10153
dc.language.iso.fl_str_mv por
eng
language por
eng
dc.relation.none.fl_str_mv https://publicacoes.fcc.org.br/cp/article/view/10153/4668
https://publicacoes.fcc.org.br/cp/article/view/10153/4669
https://publicacoes.fcc.org.br/cp/article/view/10153/4778
https://publicacoes.fcc.org.br/cp/article/view/10153/4779
https://publicacoes.fcc.org.br/cp/article/view/10153/4780
https://publicacoes.fcc.org.br/cp/article/view/10153/4781
dc.rights.driver.fl_str_mv Copyright (c) 2023 Cadernos de Pesquisa
https://creativecommons.org/licenses/by-nc/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2023 Cadernos de Pesquisa
https://creativecommons.org/licenses/by-nc/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/pdf
dc.publisher.none.fl_str_mv Fundação Carlos Chagas
publisher.none.fl_str_mv Fundação Carlos Chagas
dc.source.none.fl_str_mv Cadernos de Pesquisa; Vol. 53 (2023); e10153
Cadernos de Pesquisa; Vol. 53 (2023); e10153
Cadernos de Pesquisa; Vol. 53 (2023); e10153
Cadernos de Pesquisa; v. 53 (2023); e10153
1980-5314
0100-1574
reponame:Cadernos de Pesquisa (Fundação Carlos Chagas. Online)
instname:Fundação Carlos Chagas (FCC)
instacron:FCC
instname_str Fundação Carlos Chagas (FCC)
instacron_str FCC
institution FCC
reponame_str Cadernos de Pesquisa (Fundação Carlos Chagas. Online)
collection Cadernos de Pesquisa (Fundação Carlos Chagas. Online)
repository.name.fl_str_mv Cadernos de Pesquisa (Fundação Carlos Chagas. Online) - Fundação Carlos Chagas (FCC)
repository.mail.fl_str_mv cadpesq@fcc.org.br||cadpesq@fcc.org.br
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