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Pick-N multiple choice-exams: a comparison of scoring algorithms

机译:选择N次多项选择考试:评分算法的比较

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摘要

To compare different scoring algorithms for Pick-N multiple correct answer multiple-choice (MC) exams regarding test reliability, student performance, total item discrimination and item difficulty. Data from six 3rd year medical students’ end of term exams in internal medicine from 2005 to 2008 at Munich University were analysed (1,255 students, 180 Pick-N items in total). Scoring Algorithms: Each question scored a maximum of one point. We compared: (a) Dichotomous scoring (DS): One point if all true and no wrong answers were chosen. (b) Partial credit algorithm 1 (PS50): One point for 100% true answers; 0.5 points for 50% or more true answers; zero points for less than 50% true answers. No point deduction for wrong choices. (c) Partial credit algorithm 2 (PS1/m): A fraction of one point depending on the total number of true answers was given for each correct answer identified. No point deduction for wrong choices. Application of partial crediting resulted in psychometric results superior to dichotomous scoring (DS). Algorithms examined resulted in similar psychometric data with PS50 only slightly exceeding PS1/m in higher coefficients of reliability. The Pick-N MC format and its scoring using the PS50 and PS1/m algorithms are suited for undergraduate medical examinations. Partial knowledge should be awarded in Pick-N MC exams.
机译:为了比较关于Pick-N多项正确答案多项选择(MC)考试的不同评分算法,它们涉及测试的可靠性,学生表现,总项目区分度和项目难度。分析了来自慕尼黑大学2005年至2008年的6名三年级医学生期末考试的数据(1,255名学生,共计180个Pick-N项目)。计分算法:每个问题满分为1分。我们进行了比较:(a)二分得分(DS):如果选择了所有正确答案和没有错误答案,则得分为1分。 (b)部分信用算法1(PS 50 ):对于100%真实答案为1分; 50%或以上的真实答案为0.5分;零分表示少于50%的真实答案。没有错误选择的扣分。 (c)部分信用算法2(PS 1 / m ):根据确定的每个正确答案给出的分数取决于真实答案的总数。没有错误选择的扣分。应用部分学分所产生的心理测量结果优于二分得分(DS)。所检查的算法得出的PS 50 相似的心理测验数据仅在可靠性系数较高的情况下略超过PS 1 / m 。 Pick-N MC格式及其使用PS 50 和PS 1 / m 算法的评分方式适合于本科医学检查。在Pick-N MC考试中应授予部分知识。

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