Long Term Prediction of Admission Measures: the case of Saudi Arabia

Long Term Prediction of Admission Measures: the case of Saudi Arabia

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Long Term Prediction of Admission Measures: the case of Saudi Arabia

General Aptitude Test (GAT) and Standardized Achievement Admission Test (SAAT) were developed for university admission. All universities in the Kingdom of Saudi Arabia use both of them as an admission criterion for more than 17 years. Students who took those tests have graduated from universities and either applied for a job or continue their graduate studies. Most institutions require applicants for graduate study to take an admission test. On the other hands, some jobs require testing for certification. Accordingly, the present study investigates the prediction power of the two admission tests for future performance in other tests. But, one just wonders how consistent is the correlation of the GAT and SAAT with other tests over different data set? It would be important to answer such question before one gets to the contribution of those two tests to the explanation of the variance of other tests. In fact, the study tries to answer the following questions:
How much variance can either GAT or SAAT or both explain from the following tests: post-graduate general ability test (PGAT)?, engineering licensure test (general or subject)?, teacher certification test (general or subject)?,  District attorney licensure test?, general employability test?

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