Analysis of academic performance through logistic and multiple regression

Authors

  • Jeylin Meybelin Pérez Obregón Departamento de Ciencias de la Educación y Humanidades de la Universidad Nacional Autónoma de Nicaragua-Managua (FAREM-Chontales) http://orcid.org/0000-0002-6645-5150
  • Tonys Romero Díaz Departamento de Ciencias de la Educación y Humanidades de la Universidad Nacional Autónoma de Nicaragua-Managua (FAREM-Chontales) http://orcid.org/0000-0003-3910-6980

DOI:

https://doi.org/10.30698/recsp.v1i2.10

Keywords:

Academic performance, logistic and multiple regression, predictions, analysis

Abstract

This article presents an analysis of the academic performance of the Santa Teresita National Institute in the subject of mathematics during the period 2011-2016 through logistic and multiple regression to determine the behavior and relationship between the qualifications of the subject of mathematics with a foreign language - language and literature. A mixed approach was used, the quantitative aspect allowed examining the ratings of consecutive years to create mathematical models that allow predicting results; and the qualitative methodology served to explore and compare opinions of people related to the context. The multiple regression model approximated the mathematics qualification considering those of language and literature, and foreign language -. The logistic regression model was applied, which allowed to calculate the average interval of the students considering degree, sex and year; The logistic regression model was applied, which allowed to calculate the average interval of the students considering degree, sex and year; Being this model a complement to the previous one, since it strengthens the results for its respective analysis, both models were significant and exceeded the statistical assumptions, therefore, it is recommended to use them to improve the performance of the Educational center.

Downloads

Download data is not yet available.
Abstract
1597
PDF (Español (España)) 3010
Resumen (Audio) (Español (España)) 129
Abstract (Audio) 112

Author Biographies

Jeylin Meybelin Pérez Obregón, Departamento de Ciencias de la Educación y Humanidades de la Universidad Nacional Autónoma de Nicaragua-Managua (FAREM-Chontales)

Licenciada en Matemáticas. Profesora de Matemática del Departamento de Ciencias de la Educación y Humanidades de la Universidad Nacional Autónoma de Nicaragua-Managua (FAREM-Chontales)

Tonys Romero Díaz, Departamento de Ciencias de la Educación y Humanidades de la Universidad Nacional Autónoma de Nicaragua-Managua (FAREM-Chontales)

Doctor en Educación e Intervención Social. Profesor de Matemática y Estadística del Departamento de Ciencias de la Educación y Humanidades de la Universidad Nacional Autónoma de Nicaragua-Managua (FAREM-Chontales)

Downloads

Published

2018-10-17

How to Cite

Pérez Obregón, J. M., & Romero Díaz, T. (2018). Analysis of academic performance through logistic and multiple regression. Revista Electrónica De Conocimientos, Saberes Y Prácticas, 1(2), 33–42. https://doi.org/10.30698/recsp.v1i2.10

Issue

Vol. 1 No. 2 (2018)

Section

Educational Research

License

At the moment in which a work is accepted for publication, it is understood that the author gives the Electronic Magazine of Knowledge and Practice (RECSP) exclusive rights of reproduction, distribution and sale of his manuscript for exploitation in all countries of the world in paper magazine format, as well as in any other magnetic, optical and digital media. The authors will also transfer to RECSP the rights of public communication for its dissemination and exploitation through Intranets, Internet and any wireless portals and devices decided by the publisher, by making available to users for online consultation of its content and its extract. , for printing on paper and / or for downloading and filing, all in the terms and conditions that appear on the website where the work is housed. In turn, the RECSP authorizes the authors of the works published in the journal to offer a copy of these works once published on their personal webs or in any open access repository. Together with this copy, a specific mention of the RECSP must be included, citing the year and the number of the journal in which the article or research note was published and adding, in addition, the link to the RECSP website.