القدرةُ التنبُّؤية لمعاييرِ قبولِ طَلبة الدراساتِ العُليا بالمعدَّل التراكميِّ عند التخرُّج في جامعة اليرموك

Abstract

The study aimed to reveal the ability of graduate admission criteria to predict the cumulative GPA of students at Yarmouk University. To achieve the objective of the study, the data of the study sample which consisted of (2942) male and female students at the master's level and (600) students at the doctoral level were obtained for the last three years. The results of the stepwise multiple regression analysis revealed that the predictive ability of the criteria used for success as measured by the cumulative GPA in the two stages was weak, and despite the statistical significance of the two predictive models; The admission criteria used collectively in the Master’s program could not explain more than (11.8%) of the total variance in the cumulative GPA at the master’s level, of which the bachelor’s GPA explained (8.4%), the type of college at the bachelor’s level (1.7%), the high school GPA (1%), the type of English language admission (0.4%), and the type of university at the bachelor’s level (0.3%). For the Ph.D., the admission criteria for the humanities and education majors together explained (6.6%) of the total variance in the doctoral cumulative GPA, of which the bachelor’s GPA explained (3.6%), the type of English language admission (1.9%), and the type of university at the bachelor’s level (1.1%). While the other variables could not contribute to explaining the variance, and they were all statistically not significant at the level of (α=0.05). The study recommended reconsidering the admission criteria and requirements for master’s and doctoral programs at Yarmouk University and seeking more reliable criteria.