Esmaeili Aryan, Haghdoost Ali-Akbar
Dept. Educational Development Center, Kerman University of Medical Sciences, Jomhoori Islami Blvd, 7618747653, Kerman, Iran.
Indian J Med Sci. 2008 Jul;62(7):267-74.
To quantify the internal consistency of medical students' scores.
We assessed the associations between medical students' scores in physiopathology and clinical courses and compared these scores with their scores in their comprehensive exams.
We collected medical students' scores in their courses and also in their comprehensive exam in six consecutive years.
We assessed the associations between students' scores and their personal characteristics, and the consistency between theoretical and practical courses.
We used Pearson correlation coefficient and linear regression. In addition, we computed difficulty and discrimination indices of students' scores in their courses by comparing these scores with comprehensive clinical exam (CCE).
Generally, females and younger students were more successful. CCE were predicted by students' scores and their characteristics relatively accurate (the adjusted R2 of the model was 0.59). Students' scores in the pathology and in thesis had the maximum and minimum discrimination indices, while the difficulties of these two courses were in reverse order. The strongest association was observed between theoretical and practical scores in internal medicine while the associations between theoretical and practical scores in the other courses were not strong although all of them were statistically significant.
Using this approach to explore the students' score, might highlight the weak points of the current educational system. For example we found that the students' score in thesis had the minimum accuracy; although students obtained very high score in this course. Hence, for better comparison of the accuracy students' scores in colleges around the world, we recommend similar quantitative approach.
量化医学生分数的内部一致性。
我们评估了医学生在病理生理学和临床课程中的分数之间的关联,并将这些分数与其综合考试中的分数进行比较。
我们连续六年收集了医学生课程及综合考试中的分数。
我们评估了学生分数与其个人特征之间的关联,以及理论课程与实践课程之间的一致性。
我们使用了Pearson相关系数和线性回归。此外,通过将学生课程分数与综合临床考试(CCE)进行比较,我们计算了课程分数的难度和区分度指标。
总体而言,女生和较年轻的学生成绩更好。CCE能够通过学生分数及其特征相对准确地预测(模型的调整R²为0.59)。学生在病理学和论文课程中的分数具有最大和最小区分度指标,而这两门课程的难度顺序相反。在内科理论与实践分数之间观察到最强的关联,而其他课程理论与实践分数之间的关联虽均具有统计学意义但并不强。
使用这种方法探索学生分数,可能会凸显当前教育系统的薄弱环节。例如,我们发现学生论文分数的准确性最低;尽管学生在该课程中获得了很高的分数。因此,为了更好地比较世界各地高校学生分数的准确性,我们推荐类似的量化方法。