Predictors of students' academic achievements in allied health professions at King Saud University: a retrospective cohort study.

Autor: Alhurishi SA; Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia., Aljuraiban GS; Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia., Alshaikh FA; Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia., Almutairi MM; Department of Statistics and information, Vice Rectorate for Planning and Development, King Saud University, Riyadh, Saudi Arabia., Almutairi KM; Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia. ksuresearchproject2020@gmail.com.
Jazyk: angličtina
Zdroj: BMC medical education [BMC Med Educ] 2021 Feb 06; Vol. 21 (1), pp. 93. Date of Electronic Publication: 2021 Feb 06.
DOI: 10.1186/s12909-021-02525-x
Abstrakt: Background: The admissions criteria for colleges of medicine and allied health professions include several cognitive predictors. Little is known of the admissions criteria for the allied health professions and their correlation with students' academic performance. This study investigates predictors for students' academic achievements at allied health colleges at King Saud University.
Design: Retrospective cohort study.
Settings: College of Applied Medical Sciences, College of Nursing, and Prince Sultan bin Abdulaziz College for Emergency Medical Services, Saudi Arabia.
Participants: The sample comprised 1634 students.
Method: The high school grade average (HSGA), aptitude test (APT) score, achievement test (ACT) score, and current grade point average (GPA) were retrieved. The data were analysed using Pearson's correlation coefficient and regression analysis.
Results: HSGA, ACT, and APT were significantly positively associated with students' academic performance in colleges for all allied health professions. Multivariate regression analysis showed that the most predictive variable for all allied healthcare professions was HSGA (β = 0.347), followed by ACT (β = 0.270) and APT (β = 0.053) scores. The regression model indicated that the HSGA, APT, and ACT together predicted 26.5% of the variation in students' cumulative GPAs at the time of graduation.
Conclusion: The admissions criteria for the allied health colleges at King Saud University predicted only 26.5% of the students' cumulative GPA at the time of graduation. Other noncognitive admission criteria should be taken into consideration to improve the prediction of students' academic potential.
Databáze: MEDLINE
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