Factors Affecting the Academic Tripping at University of Tabuk Using Logistic Regression

Abstract

The main objective of this article is to use the logistic regression model as one of the generalized linear models to determine some factors that influence academic tripping at the University of Tabuk. In this case, student status (tripped, non-tripped) is considered as a binary variable. The data of this article were collected using a survey based on a questionnaire. The results showed that the most important factors affecting student’s academic tripping have focused on the items of educational & academic, and family & economic factors, namely (a) the current speciality does not meet student’s aspiration, (b) it is difficult for the student to understand and accommodate some lectures, (c) it is difficult for the student to reconcile the academic load with the offered courses, (d) participation in extra-curricular activities, (e) difference between university and secondary schools systems, and (f) student does not receive a college bursary regularly.