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...
- Autores:
- Tipo de recurso:
- Article of journal
- Fecha de publicación:
- 2018
- Institución:
- Universidad Católica de Pereira
- Repositorio:
- Repositorio Institucional - RIBUC
- Idioma:
- spa
- OAI Identifier:
- oai:repositorio.ucp.edu.co:10785/9697
- Acceso en línea:
- https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/22
http://hdl.handle.net/10785/9697
- Palabra clave:
- Rights
- openAccess
- License
- https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES
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dc.title.eng.fl_str_mv |
Infl uential typology in the academic performance of university students |
dc.title.spa.fl_str_mv |
Tipología influyente en el rendimiento académico de alumnos universitarios |
dc.title.por.fl_str_mv |
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.issued.none.fl_str_mv |
2018-10-05 |
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2022-06-01T19:08:15Z |
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2022-06-01T19:08:15Z |
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Artículo de revista |
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http://purl.org/coar/resource_type/c_2df8fbb1 |
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http://purl.org/coar/version/c_970fb48d4fbd8a85 |
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https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/22 10.31908/19098367.3710 |
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http://hdl.handle.net/10785/9697 |
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https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/22 http://hdl.handle.net/10785/9697 |
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10.31908/19098367.3710 |
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https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/22/19 https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/22/1157 |
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https://creativecommons.org/licenses/by-nc/4.0/deed.es_ES |
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Universidad Católica de Pereira |
dc.source.eng.fl_str_mv |
Entre ciencia e ingeniería; Vol 12 No 23 (2018); 109-116 |
dc.source.spa.fl_str_mv |
Entre Ciencia e Ingeniería; Vol. 12 Núm. 23 (2018); 109-116 |
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Entre ciencia e ingeniería; v. 12 n. 23 (2018); 109-116 |
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2539-4169 1909-8367 |
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Universidad Católica de Pereira |
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Repositorio Institucional de la Universidad Católica de Pereira - RIBUC |
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bdigital@metabiblioteca.com |
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2022-06-01T19:08:15Z2022-06-01T19:08:15Z2018-10-05https://revistas.ucp.edu.co/index.php/entrecienciaeingenieria/article/view/2210.31908/19098367.3710http://hdl.handle.net/10785/9697The 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.application/pdfapplication/xmlspaUniversidad Católica de Pereirahttps://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_abf2Entre 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); 109-1162539-41691909-8367Infl uential typology in the academic performance of university studentsTipología influyente en el rendimiento académico de alumnos universitariosTipologia influente no desempenho acadêmico de estudantes universitáriosArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1http://purl.org/coar/version/c_970fb48d4fbd8a85info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionRuiz, Susana B.Herrera, Myriam BeatrizRomagnano, María R.Mallea, Lilian AdrianaLund, María InésPublication10785/9697oai:repositorio.ucp.edu.co:10785/96972025-01-27 19:00:46.313https://creativecommons.org/licenses/by-nc/4.0/deed.es_ESmetadata.onlyhttps://repositorio.ucp.edu.coRepositorio Institucional de la Universidad Católica de Pereira - RIBUCbdigital@metabiblioteca.com |