Al-Rukban Mohammad O, Munshi Fadi M, Abdulghani Hamza M, Al-Hoqail Ibrahim
Department of Family and Community Medicine, Faculty of Medicine, King Saud University, PO Box 91678, Riyadh 11643, Kingdom of Saudi Arabia.
Saudi Med J. 2010 May;31(5):560-4.
To evaluate the ability of preadmission criteria used in most health professional schools in Saudi Arabia to predict the in-program performance.
This retrospective cohort study was conducted at King Fahd Medical City, Faculty of Medicine, Riyadh, Kingdom of Saudi Arabia between July and September 2008. Four sets were used to examine the predictive power of preadmission variables. The variables are the academic abilities (high school grades), aptitude test, achievement test, and an interview. The criterion variables were the undergraduate grade point averages' (GPAs) of medical college students (n=193). The correlation between admission variables and the GPA was examined using Pearson's correlation coefficient and regression analyses.
Inclusion of all 4 admission tools in a regression analysis as predictors of GPA performance revealed that only the achievement test was statistically predictive of the GPA. Approximately 6.5% of variance in the GPA can be accounted for by the current admission criteria.
The current admission criteria provide some insight into the predicted future performance of students. The inclusion of other valid and reliable admissions tools, such as the multiple mini-interviews and the questionnaire for candidate's suitability to follow a problem-based learning curriculum, should be considered.
评估沙特阿拉伯大多数健康专业院校所采用的入学前标准预测学生在校表现的能力。
这项回顾性队列研究于2008年7月至9月在沙特阿拉伯利雅得法赫德国王医疗城医学院进行。使用四组数据来检验入学前变量的预测能力。这些变量包括学术能力（高中成绩）、能力倾向测试、成绩测试和面试。标准变量是医学院学生（n = 193）的本科平均绩点（GPA）。使用Pearson相关系数和回归分析来检验入学变量与GPA之间的相关性。
将所有4种入学工具纳入回归分析作为GPA表现的预测指标，结果显示只有成绩测试在统计学上能够预测GPA。当前的入学标准可以解释GPA中约6.5%的方差。
当前的入学标准为学生未来的预测表现提供了一些见解。应考虑纳入其他有效且可靠的入学工具，如多重迷你面试和候选人是否适合基于问题的学习课程的问卷。
