إستخدام نموذجي الإنحدار اللوجستي والتحليل التمييزي لتحديد أهم العوامل المنبئة بالتعثر الدراسي لدى طلبة جامعة القصيم : دراسة مقارنة
The study aimed to compare the logistic regression analysis and the discriminatory analysis methods to detecting the most important factors that contribute to the classification of students who are failing academically. Criteria for comparison between the two methods (classification accuracy and area under the ROC curve) were used. To achieve this goal, the descriptive analytical method was used, and data was obtained for a sample of (1068) male and female students. Where the students’ data was used as predictors, which are (general secondary average, achievement test scores, general ability test scores, assignment rate (preparatory year average), The results of the study indicated that the order of the independent variables according to their relative importance in the logistic regression model is (general secondary average, achievement test scores, assignment rate), while their order according to the discriminant analysis model was (general secondary average, assignment rate, achievement test scores), as it showed The results of the study indicated the superiority of the logistic regression model in classification accuracy compared to the discriminant analysis model, as the percentage of correct classification accuracy for the logistic regression model was (97.8%), while it was (90%) for the discriminant analysis model, in addition to the area under the ROC curve reaching ( 99% for the logistic regression analysis method, while it reached 97.7% for the discriminant analysis method. (Published abstract)