Multinomial cross-sectional regression models to estimate and predict the determinants of academic performance: the case of auditor accountant of the Pontifical Catholic University of Valparaíso

The debate on the primary cross-curricular skills or fundamental competencies that must be improved in higher education has increased in the last few years. This is especially important in the new distant learning environments, which bring new challenges to the educational process. Econometric model...

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Autores:
de la Fuente-Mella, Hanns
Campos Espinoza , Ricardo Christian
LAY, NELSON
Lameles, Omar
Pino-Moya, Mario
Ramírez Molina, Reynier Israel
Tipo de recurso:
Article of journal
Fecha de publicación:
2022
Institución:
Corporación Universidad de la Costa
Repositorio:
REDICUC - Repositorio CUC
Idioma:
eng
OAI Identifier:
oai:repositorio.cuc.edu.co:11323/9431
Acceso en línea:
https://hdl.handle.net/11323/9431
https://doi.org/10.3390/su14159232
https://repositorio.cuc.edu.co/
Palabra clave:
Multinomial logistic regression
Academic performance
Econometric models
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openAccess
License
© 2022 by the authors. Licensee MDPI, Basel, Switzerland.
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dc.title.eng.fl_str_mv Multinomial cross-sectional regression models to estimate and predict the determinants of academic performance: the case of auditor accountant of the Pontifical Catholic University of Valparaíso
title Multinomial cross-sectional regression models to estimate and predict the determinants of academic performance: the case of auditor accountant of the Pontifical Catholic University of Valparaíso
spellingShingle Multinomial cross-sectional regression models to estimate and predict the determinants of academic performance: the case of auditor accountant of the Pontifical Catholic University of Valparaíso
Multinomial logistic regression
Academic performance
Econometric models
title_short Multinomial cross-sectional regression models to estimate and predict the determinants of academic performance: the case of auditor accountant of the Pontifical Catholic University of Valparaíso
title_full Multinomial cross-sectional regression models to estimate and predict the determinants of academic performance: the case of auditor accountant of the Pontifical Catholic University of Valparaíso
title_fullStr Multinomial cross-sectional regression models to estimate and predict the determinants of academic performance: the case of auditor accountant of the Pontifical Catholic University of Valparaíso
title_full_unstemmed Multinomial cross-sectional regression models to estimate and predict the determinants of academic performance: the case of auditor accountant of the Pontifical Catholic University of Valparaíso
title_sort Multinomial cross-sectional regression models to estimate and predict the determinants of academic performance: the case of auditor accountant of the Pontifical Catholic University of Valparaíso
dc.creator.fl_str_mv de la Fuente-Mella, Hanns
Campos Espinoza , Ricardo Christian
LAY, NELSON
Lameles, Omar
Pino-Moya, Mario
Ramírez Molina, Reynier Israel
dc.contributor.author.spa.fl_str_mv de la Fuente-Mella, Hanns
Campos Espinoza , Ricardo Christian
LAY, NELSON
Lameles, Omar
Pino-Moya, Mario
Ramírez Molina, Reynier Israel
dc.subject.proposal.eng.fl_str_mv Multinomial logistic regression
Academic performance
Econometric models
topic Multinomial logistic regression
Academic performance
Econometric models
description The debate on the primary cross-curricular skills or fundamental competencies that must be improved in higher education has increased in the last few years. This is especially important in the new distant learning environments, which bring new challenges to the educational process. Econometric models have been designed to explain the students’ academic performance, which has been measured using their qualifications average, the number of failed subjects, passed subjects, and withdrawn subjects, and the level of progress, among other indicators, to try to understand the influence of variables such as students’ self-esteem, reading comprehension, English proficiency level, and performance in a mathematics-related subject on the students of accountant auditor program from Pontificia Universidad Católica de Valparaiso. Students were asked to fill in a questionnaire to collect data on the psychological and pedagogical variables, while the socio-economic and socio-demographic data were collected from the university. The results have shown that the most significant variables in the development level of this skill type are socio-demographic and socio-economic characteristics. Some of the psychological and pedagogical variables that have, to a lesser degree, some influences are self-regulation in the learning process and the self-perception of anxiety levels. Lastly, some recommendations to intervene in the students’ learning process are presented with the objective of achieving a higher level of development in this type of competences.
publishDate 2022
dc.date.accessioned.none.fl_str_mv 2022-08-04T14:25:34Z
dc.date.available.none.fl_str_mv 2022-08-04T14:25:34Z
dc.date.issued.none.fl_str_mv 2022-07-28
dc.type.spa.fl_str_mv Artículo de revista
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dc.type.content.spa.fl_str_mv Text
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dc.identifier.citation.spa.fl_str_mv de la Fuente-Mella, H.; Campos-Espinoza, R.; Lay-Raby, N.; Lamelés-Corvalán, O.; Pino-Moya, M.; Ramírez-Molina, R. Multinomial Cross-Sectional Regression Models to Estimate and Predict the Determinants of Academic Performance: The Case of Auditor Accountant of the Pontifical Catholic University of Valparaíso. Sustainability 2022, 14, 9232. https:// doi.org/10.3390/su14159232
dc.identifier.uri.spa.fl_str_mv https://hdl.handle.net/11323/9431
dc.identifier.url.spa.fl_str_mv https://doi.org/10.3390/su14159232
dc.identifier.doi.spa.fl_str_mv 10.3390/su14159232
dc.identifier.eissn.spa.fl_str_mv 2071-1050
dc.identifier.instname.spa.fl_str_mv Corporación Universidad de la Costa
dc.identifier.reponame.spa.fl_str_mv REDICUC - Repositorio CUC
dc.identifier.repourl.spa.fl_str_mv https://repositorio.cuc.edu.co/
identifier_str_mv de la Fuente-Mella, H.; Campos-Espinoza, R.; Lay-Raby, N.; Lamelés-Corvalán, O.; Pino-Moya, M.; Ramírez-Molina, R. Multinomial Cross-Sectional Regression Models to Estimate and Predict the Determinants of Academic Performance: The Case of Auditor Accountant of the Pontifical Catholic University of Valparaíso. Sustainability 2022, 14, 9232. https:// doi.org/10.3390/su14159232
10.3390/su14159232
2071-1050
Corporación Universidad de la Costa
REDICUC - Repositorio CUC
url https://hdl.handle.net/11323/9431
https://doi.org/10.3390/su14159232
https://repositorio.cuc.edu.co/
dc.language.iso.none.fl_str_mv eng
language eng
dc.relation.ispartofjournal.spa.fl_str_mv Sustainability
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spelling de la Fuente-Mella, HannsCampos Espinoza , Ricardo ChristianLAY, NELSONLameles, OmarPino-Moya, MarioRamírez Molina, Reynier Israel2022-08-04T14:25:34Z2022-08-04T14:25:34Z2022-07-28de la Fuente-Mella, H.; Campos-Espinoza, R.; Lay-Raby, N.; Lamelés-Corvalán, O.; Pino-Moya, M.; Ramírez-Molina, R. Multinomial Cross-Sectional Regression Models to Estimate and Predict the Determinants of Academic Performance: The Case of Auditor Accountant of the Pontifical Catholic University of Valparaíso. Sustainability 2022, 14, 9232. https:// doi.org/10.3390/su14159232https://hdl.handle.net/11323/9431https://doi.org/10.3390/su1415923210.3390/su141592322071-1050Corporación Universidad de la CostaREDICUC - Repositorio CUChttps://repositorio.cuc.edu.co/The debate on the primary cross-curricular skills or fundamental competencies that must be improved in higher education has increased in the last few years. This is especially important in the new distant learning environments, which bring new challenges to the educational process. Econometric models have been designed to explain the students’ academic performance, which has been measured using their qualifications average, the number of failed subjects, passed subjects, and withdrawn subjects, and the level of progress, among other indicators, to try to understand the influence of variables such as students’ self-esteem, reading comprehension, English proficiency level, and performance in a mathematics-related subject on the students of accountant auditor program from Pontificia Universidad Católica de Valparaiso. Students were asked to fill in a questionnaire to collect data on the psychological and pedagogical variables, while the socio-economic and socio-demographic data were collected from the university. The results have shown that the most significant variables in the development level of this skill type are socio-demographic and socio-economic characteristics. Some of the psychological and pedagogical variables that have, to a lesser degree, some influences are self-regulation in the learning process and the self-perception of anxiety levels. Lastly, some recommendations to intervene in the students’ learning process are presented with the objective of achieving a higher level of development in this type of competences.15 páginasapplication/pdfengMDPI AGSwitzerland© 2022 by the authors. Licensee MDPI, Basel, Switzerland.Atribución 4.0 Internacional (CC BY 4.0)https://creativecommons.org/licenses/by-nc-sa/4.0/info:eu-repo/semantics/openAccesshttp://purl.org/coar/access_right/c_abf2Multinomial cross-sectional regression models to estimate and predict the determinants of academic performance: the case of auditor accountant of the Pontifical Catholic University of ValparaísoArtículo de revistahttp://purl.org/coar/resource_type/c_6501http://purl.org/coar/resource_type/c_2df8fbb1Textinfo:eu-repo/semantics/articlehttp://purl.org/redcol/resource_type/ARThttp://purl.org/coar/version/c_970fb48d4fbd8a85https://www.mdpi.com/2071-1050/14/15/9232ValparaísoSustainability1. Véliz, A.; Dorner, A.; Sandoval, S. Relación entre autoconcepto, eficacia académica y rendimiento académico en estudiantes de salud de Puerto Montt, Chile. EDUCADI 2016, 1, 97–109. [CrossRef]2. Mushtaq, I.; Khan, S.N. Factors affecting student’s academic performance. Glob. J. Manag. Bus. Res. 2012, 12, 17–22.3. 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Merrill-Palmer Q. 1998, 44, 1–19.1511515Multinomial logistic regressionAcademic performanceEconometric modelsPublicationORIGINALMultinomial cross-sectional regression models to estimate and predict the determinants of academic performance.pdfMultinomial cross-sectional regression models to estimate and predict the determinants of academic performance.pdfapplication/pdf345050https://repositorio.cuc.edu.co/bitstreams/19d400f0-01cb-4d56-9903-f3da9f27ee00/download5e9b8cc439cb99ff57e6fa515232e8acMD51LICENSElicense.txtlicense.txttext/plain; charset=utf-83196https://repositorio.cuc.edu.co/bitstreams/0ac86309-3907-4edd-a8be-6bb2c6f8cc2b/downloade30e9215131d99561d40d6b0abbe9badMD52TEXTMultinomial cross-sectional regression models to estimate and predict the determinants of academic performance.pdf.txtMultinomial cross-sectional regression models to estimate and predict the determinants of academic performance.pdf.txttext/plain59795https://repositorio.cuc.edu.co/bitstreams/6f1ac87a-027d-46b7-bcb9-ccc4cf83aa10/download835d1a86b9d573f7be4fd595b4213a8fMD53THUMBNAILMultinomial cross-sectional regression models to estimate and predict the determinants of academic performance.pdf.jpgMultinomial cross-sectional regression models to estimate and predict the determinants of academic performance.pdf.jpgimage/jpeg16455https://repositorio.cuc.edu.co/bitstreams/22d1ec42-3561-49fe-bdb5-ba3c462645db/download873a8417194c379bec27bebef60f535dMD5411323/9431oai:repositorio.cuc.edu.co:11323/94312024-09-17 14:20:47.332https://creativecommons.org/licenses/by-nc-sa/4.0/© 2022 by the authors. Licensee MDPI, Basel, Switzerland.open.accesshttps://repositorio.cuc.edu.coRepositorio de la Universidad de la Costa CUCrepdigital@cuc.edu.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