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客观结构化临床考试中的联结标准:通过标准的站点数的原因和方法。

Conjunctive standards in OSCEs: The why and the how of number of stations passed criteria.

机构信息

Leeds Institute of Medical Education, School of Medicine, University of Leeds, Leeds, UK.

出版信息

Med Teach. 2021 Apr;43(4):448-455. doi: 10.1080/0142159X.2020.1856353. Epub 2020 Dec 8.

Abstract

INTRODUCTION

Many institutions require candidates to achieve a minimum number of OSCE stations passed (MNSP) in addition to the aggregate pass mark. The stated rationale is usually that this conjunctive standard prevents excessive degrees of compensation across an assessment. However, there is a lack of consideration and discussion of this practice in the medical education literature.

METHODS

We consider the motivations for the adoption of the MNSP from the assessment designer perspective, outlining potential concerns about the complexity of what the OSCE is trying to achieve, particularly around the blueprinting process and the limitations of scoring instruments. We also introduce four potential methods for setting an examinee-centred MNSP standard, and highlight briefly the theoretical advantages and disadvantages of these approaches.

DISCUSSION AND CONCLUSION

There are psychometric arguments for and against the limiting of compensation in OSCEs, but it is clear that many stakeholders value the application of an MNSP standard. This paper adds to the limited literature on this important topic and notes that current MNSP practices are often problematic in high stakes settings. More empirical work is needed to develop understanding of the impact on pass/fail decision-making of the proposed standard setting methods developed in this paper.

摘要

简介

许多机构要求考生除了达到总分数及格线外,还需要通过一定数量的客观结构化临床考试(OSCE)站数(MNSP)。这种附加标准的理由通常是,这种联合标准可以防止评估过程中出现过度的补偿现象。然而,在医学教育文献中,这种做法缺乏考虑和讨论。

方法

我们从评估设计者的角度考虑了采用 MNSP 的动机,概述了对 OSCE 试图实现的目标的复杂性的潜在担忧,特别是围绕蓝图制定过程和评分工具的局限性。我们还介绍了设定以考生为中心的 MNSP 标准的四种潜在方法,并简要强调了这些方法的理论优缺点。

讨论和结论

在 OSCE 中限制补偿存在心理测量学上的论据,但显然许多利益相关者都重视应用 MNSP 标准。本文增加了关于这一重要主题的有限文献,并指出当前的 MNSP 实践在高风险环境中往往存在问题。需要更多的实证工作来加深对本文提出的标准设定方法对通过/不通过决策的影响的理解。

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