OBJECTIVE: To evaluate the ability of preadmission criteria used in most health professional schools in Saudi Arabia to predict the in-program performance. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
OBJECTIVE: To evaluate the ability of preadmission criteria used in most health professional schools in Saudi Arabia to predict the in-program performance. METHODS: 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. RESULTS: 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. CONCLUSION: 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.
Authors: Sultana A Alhurishi; Ghadeer S Aljuraiban; Fahdah A Alshaikh; Mona M Almutairi; Khalid M Almutairi Journal: BMC Med Educ Date: 2021-02-06 Impact factor: 2.463
Authors: Ayah A Al-Asmar; Yara Oweis; Noor H Ismail; Alaa H A Sabrah; Islam M Abd-Raheam Journal: BMC Oral Health Date: 2021-06-12 Impact factor: 2.757