Structural equation model explanatory of student performance in the subject of General Statistics at UNALM

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The purpose of the study is to measure the adjustment of an explanatory model of student performance in the subject of General Statistics at the La Molina National Agrarian University (UNALM) through the statistical technique of Structural Equation Models. The proposed model considers four factors:...

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Detalles Bibliográficos
Autores: Salazar Vega, Rolando, Rosas Villena, Fernando
Formato: artículo
Fecha de Publicación:2021
Institución:Universidad Nacional Agraria La Molina
Repositorio:Revistas - Universidad Nacional Agraria La Molina
Lenguaje:español
OAI Identifier:oai:revistas.lamolina.edu.pe:article/1744
Enlace del recurso:https://revistas.lamolina.edu.pe/index.php/acu/article/view/1744
Nivel de acceso:acceso abierto
Materia:Modelo de ecuaciones estructurales
desempeño estudiantil
actuación docente
percepción personal
rendimiento pasado.
Structural Equation Modeling
student performance
teacher performance
personal perception
past performance
id REVUNALM_02039f85b7bcfdb0200524e8e21ab433
oai_identifier_str oai:revistas.lamolina.edu.pe:article/1744
network_acronym_str REVUNALM
network_name_str Revistas - Universidad Nacional Agraria La Molina
repository_id_str
dc.title.none.fl_str_mv Structural equation model explanatory of student performance in the subject of General Statistics at UNALM
MODELO DE ECUACIÓN ESTRUCTURAL EXPLICATIVO DEL DESEMPEÑO ESTUDIANTIL EN LA ASIGNATURA DE ESTADÍSTICA GENERAL EN LA UNALM
title Structural equation model explanatory of student performance in the subject of General Statistics at UNALM
spellingShingle Structural equation model explanatory of student performance in the subject of General Statistics at UNALM
Salazar Vega, Rolando
Modelo de ecuaciones estructurales
desempeño estudiantil
actuación docente
percepción personal
rendimiento pasado.
Structural Equation Modeling
student performance
teacher performance
personal perception
past performance
title_short Structural equation model explanatory of student performance in the subject of General Statistics at UNALM
title_full Structural equation model explanatory of student performance in the subject of General Statistics at UNALM
title_fullStr Structural equation model explanatory of student performance in the subject of General Statistics at UNALM
title_full_unstemmed Structural equation model explanatory of student performance in the subject of General Statistics at UNALM
title_sort Structural equation model explanatory of student performance in the subject of General Statistics at UNALM
dc.creator.none.fl_str_mv Salazar Vega, Rolando
Rosas Villena, Fernando
Salazar Vega, Rolando
Rosas Villena, Fernando
author Salazar Vega, Rolando
author_facet Salazar Vega, Rolando
Rosas Villena, Fernando
author_role author
author2 Rosas Villena, Fernando
author2_role author
dc.subject.none.fl_str_mv Modelo de ecuaciones estructurales
desempeño estudiantil
actuación docente
percepción personal
rendimiento pasado.
Structural Equation Modeling
student performance
teacher performance
personal perception
past performance
topic Modelo de ecuaciones estructurales
desempeño estudiantil
actuación docente
percepción personal
rendimiento pasado.
Structural Equation Modeling
student performance
teacher performance
personal perception
past performance
description The purpose of the study is to measure the adjustment of an explanatory model of student performance in the subject of General Statistics at the La Molina National Agrarian University (UNALM) through the statistical technique of Structural Equation Models. The proposed model considers four factors: student performance, teacher performance, personal perception, and past performance. Two assessment instruments are applied in the study, first to measure personal perception, and the second, is to measure teacher performance. Cronbach's Alpha Reliability Coefficient is used to verify the reliability requirement and the Confirmatory Factor Analysis to verify the validity requirement of the assessment instruments. In both assessment instruments indicators obtain to confirm their reliability and validity. The fit of the proposed model was verified using the goodness of fit indicators, finding that the proposed model had a good fit. Said adjustment improved through a process of modifying the model through the inclusion of the relationship that indicates that personal perception depends on past performance. It verified the modified model that among the factors: past performance, teacher performance, and personal perception, the former is a predictor of student’s performance. Also, in the modified model, where a new relationship includes, which was a past performance that explains the personal perception, this last relationship and the one that indicates that teacher performance explains personal perception were significant.
publishDate 2021
dc.date.none.fl_str_mv 2021-09-20
dc.type.none.fl_str_mv info:eu-repo/semantics/article
info:eu-repo/semantics/publishedVersion
format article
status_str publishedVersion
dc.identifier.none.fl_str_mv https://revistas.lamolina.edu.pe/index.php/acu/article/view/1744
10.21704/ac.v82i1.1744
url https://revistas.lamolina.edu.pe/index.php/acu/article/view/1744
identifier_str_mv 10.21704/ac.v82i1.1744
dc.language.none.fl_str_mv spa
language spa
dc.relation.none.fl_str_mv https://revistas.lamolina.edu.pe/index.php/acu/article/view/1744/2257
dc.rights.none.fl_str_mv Derechos de autor 2021 Rolando Salazar Vega, Fernando Rosas Villena
https://creativecommons.org/licenses/by/4.0/
info:eu-repo/semantics/openAccess
rights_invalid_str_mv Derechos de autor 2021 Rolando Salazar Vega, Fernando Rosas Villena
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 Universidad Nacional Agraria La Molina La Molina
publisher.none.fl_str_mv Universidad Nacional Agraria La Molina La Molina
dc.source.none.fl_str_mv Anales Científicos; Vol. 82 Núm. 1 (2021): Enero a Junio; 83-91
Anales Científicos; Vol. 82 No. 1 (2021): Enero a Junio; 83-91
2519-7398
0255-0407
reponame:Revistas - Universidad Nacional Agraria La Molina
instname:Universidad Nacional Agraria La Molina
instacron:UNALM
instname_str Universidad Nacional Agraria La Molina
instacron_str UNALM
institution UNALM
reponame_str Revistas - Universidad Nacional Agraria La Molina
collection Revistas - Universidad Nacional Agraria La Molina
repository.name.fl_str_mv
repository.mail.fl_str_mv
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spelling Structural equation model explanatory of student performance in the subject of General Statistics at UNALMMODELO DE ECUACIÓN ESTRUCTURAL EXPLICATIVO DEL DESEMPEÑO ESTUDIANTIL EN LA ASIGNATURA DE ESTADÍSTICA GENERAL EN LA UNALMSalazar Vega, RolandoRosas Villena, FernandoSalazar Vega, RolandoRosas Villena, FernandoModelo de ecuaciones estructuralesdesempeño estudiantilactuación docentepercepción personalrendimiento pasado.Structural Equation Modeling student performanceteacher performancepersonal perceptionpast performanceThe purpose of the study is to measure the adjustment of an explanatory model of student performance in the subject of General Statistics at the La Molina National Agrarian University (UNALM) through the statistical technique of Structural Equation Models. The proposed model considers four factors: student performance, teacher performance, personal perception, and past performance. Two assessment instruments are applied in the study, first to measure personal perception, and the second, is to measure teacher performance. Cronbach's Alpha Reliability Coefficient is used to verify the reliability requirement and the Confirmatory Factor Analysis to verify the validity requirement of the assessment instruments. In both assessment instruments indicators obtain to confirm their reliability and validity. The fit of the proposed model was verified using the goodness of fit indicators, finding that the proposed model had a good fit. Said adjustment improved through a process of modifying the model through the inclusion of the relationship that indicates that personal perception depends on past performance. It verified the modified model that among the factors: past performance, teacher performance, and personal perception, the former is a predictor of student’s performance. Also, in the modified model, where a new relationship includes, which was a past performance that explains the personal perception, this last relationship and the one that indicates that teacher performance explains personal perception were significant.El estudio tiene como propósito medir el ajuste de un modelo explicativo del desempeño estudiantil en la asignatura de Estadística General en la Universidad Nacional Agraria La Molina (UNALM), mediante la técnica estadística de los Modelos de Ecuaciones Estructurales. El modelo propuesto considera cuatro factores: desempeño estudiantil, actuación docente, percepción personal y rendimiento pasado. En el estudio se aplican dos instrumentos de evaluación, el primero para medir la percepción personal y el segundo para medir la actuación docente. Se utiliza el Coeficiente de Confiabilidad de Alfa de Cronbach para verificar el requisito de confiabilidad y el Análisis Factorial Confirmatorio para verificar el requisito de validez, de los instrumentos de evaluación. En ambo instrumentos de evaluación se obtuvieron indicadores que confirman su confiabilidad y validez. El ajuste de modelo propuesto se verificó mediante los indicadores de bondad de ajuste, encontrándose que el modelo propuesto presentaba un buen ajuste. Dicho ajuste fue mejorado mediante un proceso de modificación del modelo a través de la inclusión de la relación que indica que la percepción personal depende del rendimiento pasado. Se verificó en el modelo modificado que entre los factores rendimiento pasado, actuación docente y la percepción personal, el primero es predictor del desempeño estudiantil. También, en el modelo modificado donde se incluyó una nueva relación que es el rendimiento pasado explica la percepción personal, esta última relación y la que indica que la actuación docente explica la percepción personal resultaron significativas.Universidad Nacional Agraria La Molina La Molina2021-09-20info:eu-repo/semantics/articleinfo:eu-repo/semantics/publishedVersionapplication/pdfhttps://revistas.lamolina.edu.pe/index.php/acu/article/view/174410.21704/ac.v82i1.1744Anales Científicos; Vol. 82 Núm. 1 (2021): Enero a Junio; 83-91Anales Científicos; Vol. 82 No. 1 (2021): Enero a Junio; 83-912519-73980255-0407reponame:Revistas - Universidad Nacional Agraria La Molinainstname:Universidad Nacional Agraria La Molinainstacron:UNALMspahttps://revistas.lamolina.edu.pe/index.php/acu/article/view/1744/2257Derechos de autor 2021 Rolando Salazar Vega, Fernando Rosas Villenahttps://creativecommons.org/licenses/by/4.0/info:eu-repo/semantics/openAccessoai:revistas.lamolina.edu.pe:article/17442021-11-16T20:27:22Z
score 12.650644
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