Medical School, Tehran University of Medical Sciences, Tehran, Iran.
BMC Med Educ. 2012 Jul 28;12:60. doi: 10.1186/1472-6920-12-60.
In Iran, admission to medical school is based solely on the results of the highly competitive, nationwide Konkoor examination. This paper examines the predictive validity of Konkoor scores, alone and in combination with high school grade point averages (hsGPAs), for the academic performance of public medical school students in Iran.
This study followed the cohort of 2003 matriculants at public medical schools in Iran from entrance through internship. The predictor variables were Konkoor total and subsection scores and hsGPAs. The outcome variables were (1) Comprehensive Basic Sciences Exam (CBSE) scores; (2) Comprehensive Pre-Internship Exam (CPIE) scores; and (3) medical school grade point averages (msGPAs) for the courses taken before internship. Pearson correlation and regression analyses were used to assess the relationships between the selection criteria and academic performance.
There were 2126 matriculants (1374 women and 752 men) in 2003. Among the outcome variables, the CBSE had the strongest association with the Konkoor total score (r = 0.473), followed by msGPA (r = 0.339) and the CPIE (r = 0.326). While adding hsGPAs to the Konkoor total score almost doubled the power to predict msGPAs (R2 = 0.225), it did not have a substantial effect on CBSE or CPIE prediction.
The Konkoor alone, and even in combination with hsGPA, is a relatively poor predictor of medical students' academic performance, and its predictive validity declines over the academic years of medical school. Care should be taken to develop comprehensive admissions criteria, covering both cognitive and non-cognitive factors, to identify the best applicants to become "good doctors" in the future. The findings of this study can be helpful for policy makers in the medical education field.
在伊朗,医学院的入学完全基于全国范围内竞争激烈的 Konkoor 考试成绩。本文研究了 Konkoor 分数本身以及与高中平均绩点(hsGPA)相结合,对伊朗公立医学院学生学业表现的预测效度。
本研究对伊朗公立医学院 2003 年入学的学生进行了队列研究,从入学到实习。预测变量为 Konkoor 总分和子分数以及 hsGPA。因变量为(1)综合基础科学考试(CBSE)成绩;(2)综合实习前考试(CPIE)成绩;(3)实习前课程的医学院平均绩点(msGPA)。采用 Pearson 相关和回归分析评估了选择标准与学业成绩之间的关系。
2003 年共有 2126 名入学学生(1374 名女性和 752 名男性)。在因变量中,CBSE 与 Konkoor 总分的相关性最强(r = 0.473),其次是 msGPA(r = 0.339)和 CPIE(r = 0.326)。虽然将 hsGPA 添加到 Konkoor 总分中几乎使预测 msGPA 的能力提高了一倍(R2 = 0.225),但对 CBSE 或 CPIE 预测没有实质性影响。
Konkoor 本身,甚至与 hsGPA 结合使用,也是医学生学业成绩的一个相对较差的预测指标,其预测效度随着医学院学年的推移而下降。应谨慎制定综合招生标准,涵盖认知和非认知因素,以识别最适合成为未来“好医生”的申请人。本研究的结果可为医学教育领域的决策者提供帮助。