Analysis of academic performance from a binary logistic regression model

Abstract

Introduction: Comprehending the factors influencing students' academic performance holds significant importance for the Universidad de Santander. This understanding enables the university to implement curricular adjustments and adaptations, which play a fundamental role in fostering the development of student competencies. Consequently, these adjustments contribute to enriching educational processes, thereby aiding in the successful fulfillment of the educational system's mission. Objective: To examine the factors influencing the academic performance of incoming students as opportunities for improvement that address the students' needs. Materials and Methods: This study adopts an exploratory and cross-sectional design. Its comprised 1,161 new students. The response variable under consideration is the academic average attained by students at the conclusion of the academic semester. Data were sourced from national educational tests and institutional information systems. It was performed a statistical analysis using binary logistic regression, employing SPSS version 26 for the statistical software. Results and Discussion: An analysis of variance ANOVA F (2) = 24.94, p