Family background and school performance: an approach with binary variables from SARESP results

Detalhes bibliográficos
Autor(a) principal: Bassetto, Camila Fernanda [UNESP]
Data de Publicação: 2019
Tipo de documento: Artigo
Idioma: por
Título da fonte: Repositório Institucional da UNESP
Texto Completo: http://dx.doi.org/10.20947/s0102-3098a0077
http://hdl.handle.net/11449/201249
Resumo: This study researches the impact of outside school factors on individuals’ schooling. Income and maternal schooling are taken into consideration when measuring the effect of familiar aspects on students’ performance in Mathematics. Therefore, we used data referring to the Mathematics grade of students in 3rd year High School, and the answers provided by their parents for the socioeconomic questionnaire, applied by SARESP in its 2013 edition. Models with binary variables are proposed and estimates for parameters are obtained with SPSS. Results show that students from families with higher incomes indicate better educational performance, but there are restrictions. The level of maternal education positively influences student’s performance, but is limited to appropriate proficiency levels.
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spelling Family background and school performance: an approach with binary variables from SARESP resultsFondo familiar y desempeño escolar: Un enfoque con variables binarias a partir de los resultados del SARESPBackground familiar e desempenho escolar: Uma abordagem com variáveis binárias a partir dos resultados do SARESPBinary variablesFamily incomeMaternal educationProficiency in mathematicsSARESPThis study researches the impact of outside school factors on individuals’ schooling. Income and maternal schooling are taken into consideration when measuring the effect of familiar aspects on students’ performance in Mathematics. Therefore, we used data referring to the Mathematics grade of students in 3rd year High School, and the answers provided by their parents for the socioeconomic questionnaire, applied by SARESP in its 2013 edition. Models with binary variables are proposed and estimates for parameters are obtained with SPSS. Results show that students from families with higher incomes indicate better educational performance, but there are restrictions. The level of maternal education positively influences student’s performance, but is limited to appropriate proficiency levels.Faculdade de Ciências e Letras (FCL) Universidade Estadual Paulista “Júlio de Mesquita Filho” (Unesp)Faculdade de Ciências e Letras (FCL) Universidade Estadual Paulista “Júlio de Mesquita Filho” (Unesp)Universidade Estadual Paulista (Unesp)Bassetto, Camila Fernanda [UNESP]2020-12-12T02:27:54Z2020-12-12T02:27:54Z2019-01-01info:eu-repo/semantics/publishedVersioninfo:eu-repo/semantics/articleapplication/pdfhttp://dx.doi.org/10.20947/s0102-3098a0077Revista Brasileira de Estudos de Populacao, v. 36.0102-3098http://hdl.handle.net/11449/20124910.20947/s0102-3098a0077S0102-309820190001001532-s2.0-85073711369S0102-30982019000100153.pdfScopusreponame:Repositório Institucional da UNESPinstname:Universidade Estadual Paulista (UNESP)instacron:UNESPporRevista Brasileira de Estudos de Populacaoinfo:eu-repo/semantics/openAccess2024-06-10T18:11:07Zoai:repositorio.unesp.br:11449/201249Repositório InstitucionalPUBhttp://repositorio.unesp.br/oai/requestopendoar:29462024-08-05T19:35:03.719090Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)false
dc.title.none.fl_str_mv Family background and school performance: an approach with binary variables from SARESP results
Fondo familiar y desempeño escolar: Un enfoque con variables binarias a partir de los resultados del SARESP
Background familiar e desempenho escolar: Uma abordagem com variáveis binárias a partir dos resultados do SARESP
title Family background and school performance: an approach with binary variables from SARESP results
spellingShingle Family background and school performance: an approach with binary variables from SARESP results
Bassetto, Camila Fernanda [UNESP]
Binary variables
Family income
Maternal education
Proficiency in mathematics
SARESP
title_short Family background and school performance: an approach with binary variables from SARESP results
title_full Family background and school performance: an approach with binary variables from SARESP results
title_fullStr Family background and school performance: an approach with binary variables from SARESP results
title_full_unstemmed Family background and school performance: an approach with binary variables from SARESP results
title_sort Family background and school performance: an approach with binary variables from SARESP results
author Bassetto, Camila Fernanda [UNESP]
author_facet Bassetto, Camila Fernanda [UNESP]
author_role author
dc.contributor.none.fl_str_mv Universidade Estadual Paulista (Unesp)
dc.contributor.author.fl_str_mv Bassetto, Camila Fernanda [UNESP]
dc.subject.por.fl_str_mv Binary variables
Family income
Maternal education
Proficiency in mathematics
SARESP
topic Binary variables
Family income
Maternal education
Proficiency in mathematics
SARESP
description This study researches the impact of outside school factors on individuals’ schooling. Income and maternal schooling are taken into consideration when measuring the effect of familiar aspects on students’ performance in Mathematics. Therefore, we used data referring to the Mathematics grade of students in 3rd year High School, and the answers provided by their parents for the socioeconomic questionnaire, applied by SARESP in its 2013 edition. Models with binary variables are proposed and estimates for parameters are obtained with SPSS. Results show that students from families with higher incomes indicate better educational performance, but there are restrictions. The level of maternal education positively influences student’s performance, but is limited to appropriate proficiency levels.
publishDate 2019
dc.date.none.fl_str_mv 2019-01-01
2020-12-12T02:27:54Z
2020-12-12T02:27:54Z
dc.type.status.fl_str_mv info:eu-repo/semantics/publishedVersion
dc.type.driver.fl_str_mv info:eu-repo/semantics/article
format article
status_str publishedVersion
dc.identifier.uri.fl_str_mv http://dx.doi.org/10.20947/s0102-3098a0077
Revista Brasileira de Estudos de Populacao, v. 36.
0102-3098
http://hdl.handle.net/11449/201249
10.20947/s0102-3098a0077
S0102-30982019000100153
2-s2.0-85073711369
S0102-30982019000100153.pdf
url http://dx.doi.org/10.20947/s0102-3098a0077
http://hdl.handle.net/11449/201249
identifier_str_mv Revista Brasileira de Estudos de Populacao, v. 36.
0102-3098
10.20947/s0102-3098a0077
S0102-30982019000100153
2-s2.0-85073711369
S0102-30982019000100153.pdf
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv Revista Brasileira de Estudos de Populacao
dc.rights.driver.fl_str_mv info:eu-repo/semantics/openAccess
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.source.none.fl_str_mv Scopus
reponame:Repositório Institucional da UNESP
instname:Universidade Estadual Paulista (UNESP)
instacron:UNESP
instname_str Universidade Estadual Paulista (UNESP)
instacron_str UNESP
institution UNESP
reponame_str Repositório Institucional da UNESP
collection Repositório Institucional da UNESP
repository.name.fl_str_mv Repositório Institucional da UNESP - Universidade Estadual Paulista (UNESP)
repository.mail.fl_str_mv
_version_ 1808129089853194240

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