Abstract
Logistic regression analysis was utilized to predict the dropout and failure of 2831 Undergraduate of Imam Muhammad bin Saud Islamic University students. Variables examined included Nationality, college, Secondary branch, Gender, Achievement test(AT), General Ability Test (GAT), General Secondary average (GSA), First semester GPA(FSGPA), First Year GPA(FYGPA), Graduation time and the transfer. The results indicated that the natural college students are less likely to drop out, compared with the legitimate colleges, and that the decline in FYGPA and GSA increase the likelihood of dropping out of university, and that increasing the length of the period of graduation reduce dropping out of university and The students transferred are more likely to drop out of the university, compared with those who did not switch. With respect to failure, the results indicated that students in humanitarian colleges are more likely to fail than other college students, and that the decline in FSGPA, FYGPA, AT and GSA increase the likelihood of failure in university, and that increasing the length of the period of graduation reduce failure in university and The students transferred are more likely to fail in the university, compared with those who did not switch.
Recommended Citation
AlNaimi, Ezeldin
(2018)
"Factors Predicting the Drainage and Failure of Students at the Imam Muhammad Bin Saud Islamic University Using the Method of Logistics Regression,"
An-Najah University Journal for Research - B (Humanities): Vol. 32:
Iss.
11, Article 3.
Available at:
https://digitalcommons.aaru.edu.jo/anujr_b/vol32/iss11/3