Infl uential typology in the academic performance of university students

The present work addresses a statistical report focused on characterizing the academic performance of university students, from the determination of associated variables, applying statistical techniques of Multivariate Analysis. The analyzes performed are based on data from a survey conducted in 201...

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Fecha de publicación:
2018
Institución:
Universidad Católica de Pereira
Repositorio:
Repositorio Institucional - RIBUC
Idioma:
spa
OAI Identifier:
oai:repositorio.ucp.edu.co:10785/13349
Acceso en línea:
https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/22
http://hdl.handle.net/10785/13349
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openAccess
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https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES
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network_acronym_str RepoRIBUC
network_name_str Repositorio Institucional - RIBUC
repository_id_str
spelling Infl uential typology in the academic performance of university studentsTipología influyente en el rendimiento académico de alumnos universitariosTipologia influente no desempenho acadêmico de estudantes universitáriosThe present work addresses a statistical report focused on characterizing the academic performance of university students, from the determination of associated variables, applying statistical techniques of Multivariate Analysis. The analyzes performed are based on data from a survey conducted in 2015, among the students of the Faculty of Exact, Physical and Natural Sciences and the Faculty of Philosophy, Humanities and Arts of the National University of San Juan. Through a Factorial Analysis of Multiple Correspondences, Cluster Analysis and Logistic Discrimination Analysis, it was possible to identify types of students and influential variables that diff erentiate the students according to their performance. The results contribute to bring tools that allow a valid diagnosis to eff ectively guide the interventions made by the educational institution.El presente trabajo aborda un informe estadístico centrado en caracterizar el rendimiento académico de alumnos universitarios, a partir de la determinación de variables asociadas, aplicando técnicas estadísticas del Análisis Multivariado. Los análisis efectuados se basan en datos provenientes de una encuesta realizada en el año 2015, a los alumnos de la Facultad de Ciencias Exactas Físicas y Naturales, de la Facultad de Filosofía, Humanidades y Artes de la Universidad Nacional de San Juan, Argentina. Mediante un Análisis Factorial de Correspondencias Múltiples, Análisis de Conglomerados y Análisis de Discriminación Logística, se pudieron identifi car tipologías de alumnos y variables infl uyentes que diferencian a los alumnos según su rendimiento. Los resultados aportan herramientas que permiten realizar un válido diagnóstico para orientar de manera efectiva las intervenciones que realice la institución educativa.O presente trabalho aborda um relatório estatístico centrado na caracterização do desempenho acadêmico de universitários, a partir da determinação de variáveis associadas, aplicando técnicas estatísticas de análise multivariada. As análises realizadas baseiam-se em dados de uma pesquisa realizada em 2015, entre os alunos da Faculdade de Ciências Exatas, Físicas e Naturais e da Faculdade de Filosofi a, Humanidades e Artes da Universidade Nacional de San Juan. Por meio de uma Análise Fatorial de Correspondências Múltiplas, Análise de Cluster e Análise de Discriminação Logística, foi possível identifi car tipos de alunos e variáveis influentes que diferenciam os alunos de acordo com seu desempenho. Os resultados contribuem pelo fornecimento de ferramentas que permitem um diagnóstico válido para orientar efetivamente as intervenções realizadas pela instituição de ensino.Universidad Católica de Pereira2023-08-29T03:48:42Z2023-08-29T03:48:42Z2018-10-05Artículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionhttp://purl.org/coar/resource_type/c_2df8fbb1application/pdfapplication/xmlhttps://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2210.31908/19098367.3710http://hdl.handle.net/10785/13349Entre ciencia e ingeniería; Vol 12 No 23 (2018); 109-116Entre Ciencia e Ingeniería; Vol. 12 Núm. 23 (2018); 109-116Entre ciencia e ingeniería; v. 12 n. 23 (2018); 109-1162539-41691909-8367spahttps://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/22/19https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/22/1157https://creativecommons.org/licenses/by-nc/4.0/deed.es_ESinfo:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Ruiz, Susana B.Herrera, Myriam BeatrizRomagnano, María R.Mallea, Lilian AdrianaLund, María Inésoai:repositorio.ucp.edu.co:10785/133492025-01-27T23:58:07Z
dc.title.none.fl_str_mv Infl uential typology in the academic performance of university students
Tipología influyente en el rendimiento académico de alumnos universitarios
Tipologia influente no desempenho acadêmico de estudantes universitários
title Infl uential typology in the academic performance of university students
spellingShingle Infl uential typology in the academic performance of university students
title_short Infl uential typology in the academic performance of university students
title_full Infl uential typology in the academic performance of university students
title_fullStr Infl uential typology in the academic performance of university students
title_full_unstemmed Infl uential typology in the academic performance of university students
title_sort Infl uential typology in the academic performance of university students
description The present work addresses a statistical report focused on characterizing the academic performance of university students, from the determination of associated variables, applying statistical techniques of Multivariate Analysis. The analyzes performed are based on data from a survey conducted in 2015, among the students of the Faculty of Exact, Physical and Natural Sciences and the Faculty of Philosophy, Humanities and Arts of the National University of San Juan. Through a Factorial Analysis of Multiple Correspondences, Cluster Analysis and Logistic Discrimination Analysis, it was possible to identify types of students and influential variables that diff erentiate the students according to their performance. The results contribute to bring tools that allow a valid diagnosis to eff ectively guide the interventions made by the educational institution.
publishDate 2018
dc.date.none.fl_str_mv 2018-10-05
2023-08-29T03:48:42Z
2023-08-29T03:48:42Z
dc.type.none.fl_str_mv Artículo de revista
http://purl.org/coar/resource_type/c_6501
http://purl.org/coar/version/c_970fb48d4fbd8a85
info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
dc.type.coar.fl_str_mv http://purl.org/coar/resource_type/c_2df8fbb1
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/22
10.31908/19098367.3710
http://hdl.handle.net/10785/13349
url https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/22
http://hdl.handle.net/10785/13349
identifier_str_mv 10.31908/19098367.3710
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/22/19
https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/22/1157
dc.rights.none.fl_str_mv https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES
info:eu-repo/semantics/openAccess
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rights_invalid_str_mv https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES
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eu_rights_str_mv openAccess
dc.format.none.fl_str_mv application/pdf
application/xml
dc.publisher.none.fl_str_mv Universidad Católica de Pereira
publisher.none.fl_str_mv Universidad Católica de Pereira
dc.source.none.fl_str_mv Entre ciencia e ingeniería; Vol 12 No 23 (2018); 109-116
Entre Ciencia e Ingeniería; Vol. 12 Núm. 23 (2018); 109-116
Entre ciencia e ingeniería; v. 12 n. 23 (2018); 109-116
2539-4169
1909-8367
institution Universidad Católica de Pereira
repository.name.fl_str_mv
repository.mail.fl_str_mv
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