Predictors of students’ academic achievements in allied health professions at King Saud University: a retrospective cohort study
Autor: | Mona M. Almutairi, Khalid M. Almutairi, Fahdah Alshaikh, Sultana A. Alhurishi, Ghadeer S Aljuraiban |
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Jazyk: | angličtina |
Rok vydání: | 2021 |
Předmět: |
Medical education
020205 medical informatics Universities media_common.quotation_subject education Saudi Arabia Admission criteria Saudi Arabia lcsh:Medicine 02 engineering and technology Achievement tests Education 03 medical and health sciences 0302 clinical medicine Health care 0202 electrical engineering electronic engineering information engineering Emergency medical services Aptitude tests Achievement test Humans School Admission Criteria 030212 general & internal medicine Students media_common Retrospective Studies lcsh:LC8-6691 Academic Success lcsh:Special aspects of education business.industry lcsh:R Retrospective cohort study Regression analysis General Medicine Allied health professions Health Occupations Aptitude business Psychology Graduation Research Article |
Zdroj: | BMC Medical Education, Vol 21, Iss 1, Pp 1-7 (2021) BMC Medical Education |
ISSN: | 1472-6920 |
Popis: | 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: | OpenAIRE |
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