Mohammed Gobeze
The objective of the present study was to assess the predictive power of SAT, Sex and Department in AAU College of Science and Social Science. To analyse and interpret the collected data, both descriptive and inferential statistics were used. Pearson Product-Moment Correlation was employed to see the magnitude and direction of the relationship between the predictor variables and the criterion measure. To see the percentage of variance in students first year CGPA that can be explained by predictor variables multiple regression was used. Lastly, to identify relative contribution of predictor variables (or to identify the best predictor variable step-wise regression was employed. Predictor variables are statistically significant predictors of college academic performance for all participants 17.6% (R2=0.176, F (3, 296) =21.068, P<0.05). Regarding the gender, there is a significant difference between male and female students college academic performance. A large amount of variance accounted for was found for female students 22% (R2=0.220, F (2, 95) =13.362, P<0.05) than for males 13.2% (R2=0.132, F (2,199) =15.095, P<0.05). When the disciplines are considered, College of Science was found to be a more significantly predicted field of studies 17.5%(R2=0.175, F(3, 151)=10.697, P<0.05) than Social Science 8.4% (R2=0.084, F(3, 141)=4.317, P<0.05). Regarding the relative contribution of each predictor variables, the study result showed that department was the best predictor followed by SAT. Sex was a non-significant predictor of college CGPA. Hence, further investigation is required to conduct a study on the predictive power of sex.
分享此文章
English 
Spanish 
Russian 
German 
French 
Japanese 
Portuguese 
Hindi 