Predictors of Students’ Mathematics Achievement in Secondary Education

Abstract Acknowledging the relevance of mathematics education, as well the evidence about predictors related to achievement in this domain, the present study performed a predictive analysis of students’ mathematics achievement in the National Exam for Secondary Education, employing the Regression Tree Method and a model with 53 predictors. Results indicated that the model explained 29.97% of the mathematics achievement variance. Certain variables are related to worse achievement in mathematics: Students’ family monthly income equal or smaller than 2 minimum wages, be female, have not attended Primary and Secondary Education in private schools, live in North, North East and Center West regions of Brazil, be highly motivated to perform the exam to obtain Secondary Education certificate or scholarship. The results obtained highlight the role of variables related to the individual, school and family as predictors of mathematics achievement.

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Main Authors: Gomes,Cristiano Mauro Assis, Fleith,Denise de Souza, Marinho-Araujo,Claisy Maria, Rabelo,Mauro Luiz
Format: Digital revista
Language:English
Published: Instituto de Psicologia, Universidade de Brasília 2020
Online Access:http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-37722020000100407
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spelling oai:scielo:S0102-377220200001004072021-01-04Predictors of Students’ Mathematics Achievement in Secondary EducationGomes,Cristiano Mauro AssisFleith,Denise de SouzaMarinho-Araujo,Claisy MariaRabelo,Mauro Luiz mathematics secondary education prediction regression tree National Exam for Secondary Education Abstract Acknowledging the relevance of mathematics education, as well the evidence about predictors related to achievement in this domain, the present study performed a predictive analysis of students’ mathematics achievement in the National Exam for Secondary Education, employing the Regression Tree Method and a model with 53 predictors. Results indicated that the model explained 29.97% of the mathematics achievement variance. Certain variables are related to worse achievement in mathematics: Students’ family monthly income equal or smaller than 2 minimum wages, be female, have not attended Primary and Secondary Education in private schools, live in North, North East and Center West regions of Brazil, be highly motivated to perform the exam to obtain Secondary Education certificate or scholarship. The results obtained highlight the role of variables related to the individual, school and family as predictors of mathematics achievement.info:eu-repo/semantics/openAccessInstituto de Psicologia, Universidade de BrasíliaPsicologia: Teoria e Pesquisa v.36 20202020-01-01info:eu-repo/semantics/articletext/htmlhttp://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-37722020000100407en10.1590/0102.3772e3638
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libraryname SciELO
language English
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author Gomes,Cristiano Mauro Assis
Fleith,Denise de Souza
Marinho-Araujo,Claisy Maria
Rabelo,Mauro Luiz
spellingShingle Gomes,Cristiano Mauro Assis
Fleith,Denise de Souza
Marinho-Araujo,Claisy Maria
Rabelo,Mauro Luiz
Predictors of Students’ Mathematics Achievement in Secondary Education
author_facet Gomes,Cristiano Mauro Assis
Fleith,Denise de Souza
Marinho-Araujo,Claisy Maria
Rabelo,Mauro Luiz
author_sort Gomes,Cristiano Mauro Assis
title Predictors of Students’ Mathematics Achievement in Secondary Education
title_short Predictors of Students’ Mathematics Achievement in Secondary Education
title_full Predictors of Students’ Mathematics Achievement in Secondary Education
title_fullStr Predictors of Students’ Mathematics Achievement in Secondary Education
title_full_unstemmed Predictors of Students’ Mathematics Achievement in Secondary Education
title_sort predictors of students’ mathematics achievement in secondary education
description Abstract Acknowledging the relevance of mathematics education, as well the evidence about predictors related to achievement in this domain, the present study performed a predictive analysis of students’ mathematics achievement in the National Exam for Secondary Education, employing the Regression Tree Method and a model with 53 predictors. Results indicated that the model explained 29.97% of the mathematics achievement variance. Certain variables are related to worse achievement in mathematics: Students’ family monthly income equal or smaller than 2 minimum wages, be female, have not attended Primary and Secondary Education in private schools, live in North, North East and Center West regions of Brazil, be highly motivated to perform the exam to obtain Secondary Education certificate or scholarship. The results obtained highlight the role of variables related to the individual, school and family as predictors of mathematics achievement.
publisher Instituto de Psicologia, Universidade de Brasília
publishDate 2020
url http://old.scielo.br/scielo.php?script=sci_arttext&pid=S0102-37722020000100407
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AT marinhoaraujoclaisymaria predictorsofstudentsmathematicsachievementinsecondaryeducation
AT rabelomauroluiz predictorsofstudentsmathematicsachievementinsecondaryeducation
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