Alhurishi Sultana A, Aljuraiban Ghadeer S, Alshaikh Fahdah A, Almutairi Mona M, Almutairi Khalid M
Department of Community Health Sciences, College of Applied Medical Sciences, King Saud University, Riyadh, Saudi Arabia.
Department of Statistics and information, Vice Rectorate for Planning and Development, King Saud University, Riyadh, Saudi Arabia.
BMC Med Educ. 2021 Feb 6;21(1):93. doi: 10.1186/s12909-021-02525-x.
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.
Retrospective cohort study.
College of Applied Medical Sciences, College of Nursing, and Prince Sultan bin Abdulaziz College for Emergency Medical Services, Saudi Arabia.
The sample comprised 1634 students.
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.
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.
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.
医学院和相关健康专业院校的录取标准包括多个认知预测指标。对于相关健康专业的录取标准及其与学生学业成绩的相关性，人们了解甚少。本研究调查了沙特国王大学相关健康专业院校学生学业成就的预测指标。
回顾性队列研究。
沙特阿拉伯应用医学科学学院、护理学院和苏丹·本·阿卜杜勒阿齐兹王子紧急医疗服务学院。
样本包括1634名学生。
获取高中平均成绩（HSGA）、能力倾向测试（APT）分数、成绩测试（ACT）分数和当前平均绩点（GPA）。使用Pearson相关系数和回归分析对数据进行分析。
HSGA、ACT和APT与所有相关健康专业院校学生的学业成绩均呈显著正相关。多变量回归分析表明，所有相关健康专业最具预测性的变量是HSGA（β = 0.347），其次是ACT（β = 0.270）和APT（β = 0.053）分数。回归模型表明，HSGA、APT和ACT共同预测了学生毕业时累积GPA变化的26.5%。
沙特国王大学相关健康专业院校的录取标准仅能预测学生毕业时累积GPA的26.5%。应考虑其他非认知录取标准，以提高对学生学术潜力的预测。
