المقارنة بين معاملات الانحدار للمعدل التراكمي الجامعي
- Details
- Category: Dept of Psychology
- Published: Sunday, 22 April 2012 03:00
- Written by Asma` Khalid Al-Kasasbih
- Hits: 2074
Abstract Comparing University Cumulative Average's Regression Coefficients for the Students of Engineering and
Medicine Faculties on General Secondary Subjects
Asma` Khalid Al-Kasasbih
Mu’tah University, 2011
This study aimed at comparing university cumulative average's regression coefficients for the students of Engineering and Medicine faculties on general secondary subjects, in order to add a criterion that may assist The Jordanian universities in selecting students who have higher possibilities in continuation and success program.
The population of the study included Mu’tah university students who enrolled in Mu’tah university the academic year 2005/2006 in both Engineering and Medicine faculties, from each list a 40%-sample was randomly selected using the regular random method for samples.
For the purposes of the study, the correlation coefficients between the variables of the study were calculated, also, regression analysis (simple and complex) was used to identify the percentages of explained disparity, and to infer a special regression formulas to answer the questions of the study.
The study revealed a general finding that indicates the insufficiency of the general secondary examination as criterion for students admission to university and distributing them among the various majors within the university, and that the correlation coefficients between the variables of the study were low and weak, inspite of their statistical significance, which reduces the predictive ability for this criterion for the university academic achievement and its scientific insufficiency.
According to what mentioned above, the study recommends with the necessity of using the scores of Scientific materials for predicting the university cumulative averages in both Engineering and Medicine faculties (as this is better than using the average of the general secondary alone), or using the average of Mathematics and English language for Medicine faculty and the average of Mathematics and physics for Engineering faculty.