Fortune-tellers or content specialists: challenging the standard setting paradigm in medical education programmes -

Margaret MacDougall, G. Stone
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引用次数: 3

Abstract

The veracity of Objective Standard Setting (OSS) as a modern approach to criterion-referenced standard setting has been reported for healthcare student assessment in the USA, while in other countries, OSS remains unrecognized. OSS upholds the foundational principle for itemized tests that judges should base their decisions on test item content. Moreover, it presents judges with a conceptually transparent decision procedure. This contrasts with the predictions concerning a hypothetical borderline candidate which typify Angoff procedures. Furthermore, the iterative process involved in the Angoff standard setting task incurs financial and administrative burdens, thus creating the potential to cut corners through recruiting fewer judges. The underlying objective of homogenizing the test standard undermines its validity, while circumventing reputable standard setting principles. While the Rasch model offers an objective approach to predicting successful outcomes, combining Rasch and Angoff procedures does not resolve the validity problem for Angoff-based pass marks. This commentary highlights the virtues of OSS relative to the modified Angoff approach in the standard setting of itemized tests. It also identifies gaps in the research literature that should be addressed to strengthen the case for using OSS on an international scale for high-stakes assessments within healthcare disciplines as a testing ground for other disciplines.
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算命师或内容专家:挑战医学教育计划的标准设定范式
客观标准制定(OSS)作为标准参考标准制定的现代方法的准确性已被报道用于美国的医疗保健学生评估,而在其他国家,OSS仍未得到认可。OSS支持逐项测试的基本原则,即裁判应该根据测试项目的内容作出决定。此外,它为法官提供了一个概念上透明的判决程序。这与关于一个典型的安戈夫程序的假设的边缘性候选者的预测形成对比。此外,Angoff标准制定任务所涉及的反复过程会带来财政和行政负担,从而可能通过减少法官的征聘而偷工减料。同质化测试标准的潜在目的破坏了其有效性,同时规避了信誉良好的标准制定原则。虽然Rasch模型提供了一种客观的方法来预测成功的结果,但结合Rasch和Angoff程序并不能解决基于Angoff的及格分数的有效性问题。这篇评论强调了在逐项测试的标准设置中,相对于修改过的Angoff方法,OSS的优点。它还指出了研究文献中应该解决的差距,以加强在国际范围内使用开源软件进行医疗保健学科内高风险评估的案例,作为其他学科的试验场。
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