Logistic regression model to study the most important factors that affect students' academic commitment : a case study on Imam University students

Abstract EN

The research aimed at studying the factors affecting students' academic commitment using the method of logistic regression, Clarify their characteristics, and the maximum likelihood estimation MLE used to estimate the parameter of the model for a study of a sample of 1580 students.

The characteristics of the logistic regression model, the method of constructing the regression model, and the method of estimating its parameters were highlighted.

The study showed the effectiveness of the logistic regression model to measure the factors that affect the academic commitment of Imam Muhammad University students, such as gender, culture, family environment, type of public or private high school, their location, academic advisor.

The most important factors affecting students 'academic commitment (age, Admission point test at university, Social environment, and finally the students' follow-up to the academic advisor), also confirmed that the academic commitment of female students is better than the academic commitment of male students.