STUDENT DROPOUT IN A BRAZLIAN PUBLIC UNIVERSITY: A SURVIVAL ANALYSIS

Detalhes bibliográficos
Autor(a) principal: Klitzke, Melina
Data de Publicação: 2021
Outros Autores: Carvalhaes, Flavio
Tipo de documento: preprint
Idioma: por
Título da fonte: SciELO Preprints
Texto Completo: https://preprints.scielo.org/index.php/scielo/preprint/view/3339
Resumo: The aim of this paper is to analyze whether educational factors and degree choice, sociodemographic origin and academic integration are associated with dropout in the first three years of a student at the Federal University of Rio de Janeiro (UFRJ). We operationalize dropout as the student's permanent departure from the undergraduate course h/she was enrolled. Dropout was analyzed using statistical models of discrete-time survival, which allows treating the data in its longitudinal structure. The institution's microdata were used for the three-year follow-up of the cohort that joined in the first half of 2014. Results point that during the time analyzed, the moments of greatest risk of dropout were the first, second and fifth semester. The factors that were associated with dropout were educational and degree choice, and the accumulated income coefficient per semester (CRa), which in this study was configured as a proxy for academic integration. These findings highlight the importance of understanding decision-making processes for entering and continuing studies.
id SCI-1_addcf986ad0ac8f787d4b7e03f687f16
oai_identifier_str oai:ops.preprints.scielo.org:preprint/3339
network_acronym_str SCI-1
network_name_str SciELO Preprints
repository_id_str
spelling STUDENT DROPOUT IN A BRAZLIAN PUBLIC UNIVERSITY: A SURVIVAL ANALYSISLA DESERCIÓN DEL CURSO EN UNA UNIVERSIDAD PÚBLICA BRASILEÑA: UN ANÁLISIS DE SUPERVIVENCIA FATORES ASSOCIADOS À EVASÃO DE CURSO NA UFRJ: UMA ANÁLISE DE SOBREVIVÊNCIAEducação superiorevasão de cursoanálise de sobrevivênciaUFRJHigher educationdropoutsurvival analysisUFRJEducación superiordeserciónanálisis de supervivênciaUFRJThe aim of this paper is to analyze whether educational factors and degree choice, sociodemographic origin and academic integration are associated with dropout in the first three years of a student at the Federal University of Rio de Janeiro (UFRJ). We operationalize dropout as the student's permanent departure from the undergraduate course h/she was enrolled. Dropout was analyzed using statistical models of discrete-time survival, which allows treating the data in its longitudinal structure. The institution's microdata were used for the three-year follow-up of the cohort that joined in the first half of 2014. Results point that during the time analyzed, the moments of greatest risk of dropout were the first, second and fifth semester. The factors that were associated with dropout were educational and degree choice, and the accumulated income coefficient per semester (CRa), which in this study was configured as a proxy for academic integration. These findings highlight the importance of understanding decision-making processes for entering and continuing studies.El objetivo de este trabajo es analizar si los factores educativos y la elección de cursos, el origen sociodemográfico y la integración académica están asociados con la deserción en los primeros tres años de un estudiante de la Universidad Federal de Río de Janeiro (UFRJ). Se utilizó el concepto de deserción de cursos, que es la salida definitiva del alumno del curso original. La deserción se analizó mediante modelos estadísticos de supervivencia en tiempo discreto, lo que permite tratar los datos en su estructura longitudinal. Los microdatos de la institución se utilizaron para el seguimiento de tres años de la cohorte que se incorporó en el primer semestre de 2014. Entre los principales resultados, cabe destacar: durante el tiempo analizado, los momentos de mayor riesgo de deserción fueron los primeros, segundo y quinto semestre. Los factores que se asociaron a la deserción fueron la educación y la elección de cursos, y el coeficiente de ingresos acumulados por semestre (CRa), que en este estudio se configuró como un proxy de la integración académica. Estos resultados demuestran la importancia de comprender los procesos de toma de decisiones para ingresar y continuar estudios.O objetivo deste artigo é analisar se fatores educacionais e de escolha de curso, origem sociodemográfica e integração acadêmica formal estão associados à evasão nos três primeiros anos do estudante na Universidade Federal do Rio de Janeiro (UFRJ). Empregou-se o conceito de evasão de curso, que é a saída definitiva do estudante do curso de origem. A evasão foi analisada por meio de modelos estatísticos de sobrevivência em tempo discreto, o que permite tratar os dados em sua estrutura longitudinal. Foram utilizados os microdados da instituição para o acompanhamento de três anos da coorte que ingressou no primeiro semestre de 2014. Os resultados apontam que, durante o tempo analisado, os momentos de maior risco de evasão foram o primeiro, o segundo e o quinto semestre das trajetórias dos estudantes nos cursos. Os fatores que se mostraram associados à evasão foram os educacionais e de escolha de curso, e o Coeficiente de Rendimento acumulado por semestre (CRa) que neste estudo se configurou como proxy de integração acadêmica formal. Esses achados revelam a importância de entender processos decisórios de entrada e continuação dos estudos.   SciELO PreprintsSciELO PreprintsSciELO Preprints2021-12-20info:eu-repo/semantics/preprintinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://preprints.scielo.org/index.php/scielo/preprint/view/333910.1590/SciELOPreprints.3339porhttps://preprints.scielo.org/index.php/scielo/article/view/3339/6009Copyright (c) 2021 Melina Klitzke, Flavio Carvalhaeshttps://creativecommons.org/licenses/by/4.0info:eu-repo/semantics/openAccessKlitzke, MelinaCarvalhaes, Flavioreponame:SciELO Preprintsinstname:SciELOinstacron:SCI2021-12-08T23:01:12Zoai:ops.preprints.scielo.org:preprint/3339Servidor de preprintshttps://preprints.scielo.org/index.php/scieloONGhttps://preprints.scielo.org/index.php/scielo/oaiscielo.submission@scielo.orgopendoar:2021-12-08T23:01:12SciELO Preprints - SciELOfalse
dc.title.none.fl_str_mv STUDENT DROPOUT IN A BRAZLIAN PUBLIC UNIVERSITY: A SURVIVAL ANALYSIS
LA DESERCIÓN DEL CURSO EN UNA UNIVERSIDAD PÚBLICA BRASILEÑA: UN ANÁLISIS DE SUPERVIVENCIA
FATORES ASSOCIADOS À EVASÃO DE CURSO NA UFRJ: UMA ANÁLISE DE SOBREVIVÊNCIA
title STUDENT DROPOUT IN A BRAZLIAN PUBLIC UNIVERSITY: A SURVIVAL ANALYSIS
spellingShingle STUDENT DROPOUT IN A BRAZLIAN PUBLIC UNIVERSITY: A SURVIVAL ANALYSIS
Klitzke, Melina
Educação superior
evasão de curso
análise de sobrevivência
UFRJ
Higher education
dropout
survival analysis
UFRJ
Educación superior
deserción
análisis de supervivência
UFRJ
title_short STUDENT DROPOUT IN A BRAZLIAN PUBLIC UNIVERSITY: A SURVIVAL ANALYSIS
title_full STUDENT DROPOUT IN A BRAZLIAN PUBLIC UNIVERSITY: A SURVIVAL ANALYSIS
title_fullStr STUDENT DROPOUT IN A BRAZLIAN PUBLIC UNIVERSITY: A SURVIVAL ANALYSIS
title_full_unstemmed STUDENT DROPOUT IN A BRAZLIAN PUBLIC UNIVERSITY: A SURVIVAL ANALYSIS
title_sort STUDENT DROPOUT IN A BRAZLIAN PUBLIC UNIVERSITY: A SURVIVAL ANALYSIS
author Klitzke, Melina
author_facet Klitzke, Melina
Carvalhaes, Flavio
author_role author
author2 Carvalhaes, Flavio
author2_role author
dc.contributor.author.fl_str_mv Klitzke, Melina
Carvalhaes, Flavio
dc.subject.por.fl_str_mv Educação superior
evasão de curso
análise de sobrevivência
UFRJ
Higher education
dropout
survival analysis
UFRJ
Educación superior
deserción
análisis de supervivência
UFRJ
topic Educação superior
evasão de curso
análise de sobrevivência
UFRJ
Higher education
dropout
survival analysis
UFRJ
Educación superior
deserción
análisis de supervivência
UFRJ
description The aim of this paper is to analyze whether educational factors and degree choice, sociodemographic origin and academic integration are associated with dropout in the first three years of a student at the Federal University of Rio de Janeiro (UFRJ). We operationalize dropout as the student's permanent departure from the undergraduate course h/she was enrolled. Dropout was analyzed using statistical models of discrete-time survival, which allows treating the data in its longitudinal structure. The institution's microdata were used for the three-year follow-up of the cohort that joined in the first half of 2014. Results point that during the time analyzed, the moments of greatest risk of dropout were the first, second and fifth semester. The factors that were associated with dropout were educational and degree choice, and the accumulated income coefficient per semester (CRa), which in this study was configured as a proxy for academic integration. These findings highlight the importance of understanding decision-making processes for entering and continuing studies.
publishDate 2021
dc.date.none.fl_str_mv 2021-12-20
dc.type.driver.fl_str_mv info:eu-repo/semantics/preprint
info:eu-repo/semantics/publishedVersion
format preprint
status_str publishedVersion
dc.identifier.uri.fl_str_mv https://preprints.scielo.org/index.php/scielo/preprint/view/3339
10.1590/SciELOPreprints.3339
url https://preprints.scielo.org/index.php/scielo/preprint/view/3339
identifier_str_mv 10.1590/SciELOPreprints.3339
dc.language.iso.fl_str_mv por
language por
dc.relation.none.fl_str_mv https://preprints.scielo.org/index.php/scielo/article/view/3339/6009
dc.rights.driver.fl_str_mv Copyright (c) 2021 Melina Klitzke, Flavio Carvalhaes
https://creativecommons.org/licenses/by/4.0
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Copyright (c) 2021 Melina Klitzke, Flavio Carvalhaes
https://creativecommons.org/licenses/by/4.0
eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
dc.publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
publisher.none.fl_str_mv SciELO Preprints
SciELO Preprints
SciELO Preprints
dc.source.none.fl_str_mv reponame:SciELO Preprints
instname:SciELO
instacron:SCI
instname_str SciELO
instacron_str SCI
institution SCI
reponame_str SciELO Preprints
collection SciELO Preprints
repository.name.fl_str_mv SciELO Preprints - SciELO
repository.mail.fl_str_mv scielo.submission@scielo.org
_version_ 1797047825891065856