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Item Analysis to Identify Quality Multiple Choice Questions

机译:项目分析以识别质量多项选择题

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Introduction: Multiple Choice Questions (MCQs) or items are commonly used to provide feedback to the teachers at the end of an academic session. However, item analysis has to be done to ensure their quality. Since, no item analysis has ever been conducted in our department, the study was done to evaluate the quality of MCQs and create a viable question bank.Aim: To evaluate the quality of MCQs used so as to develop a pool of valid items to update the question bank.Materials and Methods: Total 20 items and 80 distracters from an internal examination in Microbiology, of 120 students was analysed by assessing the Difficulty Index (DIF I), Discrimination Index (DI) and Distracter Efficiency (DE).Results: Out of the 20 items, 15 had acceptable DIF I (30 - 60%) and 17 had “acceptable to excellent” DI (> 0.20). Mean DE was 87.5% considered as ideal/acceptable and Non-Functional Distracters (NFD) were only 12.5 %. Mean DI was 0.37. Poor DI in 3 items (< 0.2) with negative DI in one item indicated under preparedness of students or poor framing of at least some of the MCQs. An item becomes easier, when the number of NFDs (incorrect alternatives selected by < 5% students) in an item increases and proportionately the DE decreases. There were 8 items with 10 NFDs, while rest of the items did not have any NFD.Conclusion: Study emphasizes the selection of quality MCQs of average difficulty and high discriminating power with functional distracters to differentiate the students in correct manner.
机译:简介:多项选择题(MCQ)或项目通常用于在学术会议结束时向老师提供反馈。但是,必须进行项目分析以确保其质量。由于我们部门从未进行过项目分析,因此该研究旨在评估MCQ的质量并创建可行的问题库。目的:评估所使用的MCQ的质量,以便开发出可更新的有效项目库材料和方法:通过评估难度指数(DIF I),歧视指数(DI)和干扰力效率(DE),对120名学生进行的微生物学内部检查中的20项干扰物和80种干扰物进行了分析。在这20个项目中,有15个具有可接受的DIF I(30-60%),有17个具有“可接受至优异的” DI(> 0.20)。被认为是理想/可接受的平均DE为87.5%,非功能性干扰物(NFD)仅为12.5%。平均DI为0.37。 3名学生的DI差(<0.2),而一项学生的DI值为负,表明学生准备不足或至少某些MCQ的取景不佳。当一个项目中的NFD数量(由5%以下的学生选择的错误选项)增加而DE相应地减少时,该项目将变得更容易。有10个NFD的8个项目,而其余项目则没有任何NFD。结论:研究强调选择具有平均难度和高辨别力的优质MCQ,以功能分散器来正确区分学生。

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