LOGISTIC ANALYSIS OF THE IMPACT OF CONTRIBUTING FACTORS ON THE SUCCESS OF STUDENTS OF HIGHER EDUCATION IN QUANTITATIVE COURSES

Abstract

The purpose of this paper is to build a logistic regression model where the outcome is the logit of probability of student success in quantitative course and predictor variables are identified factors that contribute to success. The model is based on a random sample of students in professional studies at the University. The applied methodology with obtained results can serve to identify factors that contribute to improving student success in mastering the curriculum, as well as a base for future research on the impact of selected factors on student success in quantitative courses.

Keywords

• Logit model
• Maximum likelihood estimation
• Higher education
• Quantitative courses