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本文引用的文献

1
Using the Many-Facet Rasch Model to analyse and evaluate the quality of objective structured clinical examination: a non-experimental cross-sectional design.运用多面Rasch模型分析和评估客观结构化临床考试的质量:一项非实验性横断面设计。
BMJ Open. 2019 Sep 6;9(9):e029208. doi: 10.1136/bmjopen-2019-029208.
2
Cheating in OSCEs: The Impact of Simulated Security Breaches on OSCE Performance.客观结构化临床考试中的作弊行为:模拟安全漏洞对客观结构化临床考试表现的影响。
Teach Learn Med. 2017 Jan-Mar;29(1):52-58. doi: 10.1080/10401334.2016.1202832. Epub 2016 Sep 7.
3
Investigating the Impact of Item Parameter Drift for Item Response Theory Models with Mixture Distributions.研究项目参数漂移对具有混合分布的项目反应理论模型的影响。
Front Psychol. 2016 Feb 24;7:255. doi: 10.3389/fpsyg.2016.00255. eCollection 2016.
4
Temporal stability of objective structured clinical exams: a longitudinal study employing item response theory.客观结构化临床考试的时间稳定性:采用项目反应理论的纵向研究。
BMC Med Educ. 2012 Dec 7;12:121. doi: 10.1186/1472-6920-12-121.
5
A primer on classical test theory and item response theory for assessments in medical education.医学教育评估中的经典测量理论和项目反应理论简介。
Med Educ. 2010 Jan;44(1):109-17. doi: 10.1111/j.1365-2923.2009.03425.x.
6
Rasch fit statistics and sample size considerations for polytomous data.多分类数据的拉施拟合统计与样本量考量
BMC Med Res Methodol. 2008 May 29;8:33. doi: 10.1186/1471-2288-8-33.
7
Rater errors in a clinical skills assessment of medical students.医学生临床技能评估中的评分者误差。
Eval Health Prof. 2007 Sep;30(3):266-83. doi: 10.1177/0163278707304040.
8
Quality control of an OSCE using generalizability theory and many-faceted Rasch measurement.使用概化理论和多面Rasch测量法对客观结构化临床考试进行质量控制。
Adv Health Sci Educ Theory Pract. 2008 Nov;13(4):479-93. doi: 10.1007/s10459-007-9060-8. Epub 2007 Feb 20.
9
Detecting score drift in a high-stakes performance-based assessment.在基于高风险表现的评估中检测分数漂移。
Adv Health Sci Educ Theory Pract. 2004;9(1):29-38. doi: 10.1023/B:AHSE.0000012214.40340.03.
10
Detecting and measuring rater effects using many-facet Rasch measurement: part I.使用多面Rasch测量法检测和衡量评分者效应:第一部分。
J Appl Meas. 2003;4(4):386-422.

一种用于研究客观结构化临床考试项目参数漂移的多维度Rasch测量模型方法。

A many-facet Rasch measurement model approach to investigating objective structured clinical examination item parameter drift.

作者信息

Coetzee Karen, Monteiro Sandra, Amirthalingam Luxshi

机构信息

Assessment Consultant and Psychometrician at Construct Measures, An Organization with a Focus on Assessment within Regulated Health Professions, Toronto, Ontario, Canada.

Department of Medicine at McMaster, University in Hamilton, Hamilton, Ontario, Canada.

出版信息

J Eval Clin Pract. 2025 Feb;31(1):e14114. doi: 10.1111/jep.14114. Epub 2024 Jul 29.

DOI:10.1111/jep.14114
PMID:39073068
原文链接:https://pmc.ncbi.nlm.nih.gov/articles/PMC11664641/
Abstract

RATIONALE

Objective Structured Clinical Examinations (OSCEs) are widely used for assessing clinical competence, especially in high-stakes environments such as medical licensure. However, the reuse of OSCE cases across multiple administrations raises concerns about parameter stability, known as item parameter drift (IPD). AIMS & OBJECTIVES: This study aims to investigate IPD in reused OSCE cases while accounting for examiner scoring effects using a Many-facet Rasch Measurement (MFRM) model.

METHOD

Data from 12 OSCE cases, reused over seven administrations of the Internationally Educated Nurse Competency Assessment Program (IENCAP), were analyzed using the MFRM model. Each case was treated as an item, and examiner scoring effects were accounted for in the analysis.

RESULTS

The results indicated that despite accounting for examiner effects, all cases exhibited some level of IPD, with an average absolute IPD of 0.21 logits. Three cases showed positive directional trends. IPD significantly affected score decisions in 1.19% of estimates, at an invariance violation of 0.58 logits.

CONCLUSION

These findings suggest that while OSCE cases demonstrate sufficient stability for reuse, continuous monitoring is essential to ensure the accuracy of score interpretations and decisions. The study provides an objective threshold for detecting concerning levels of IPD and underscores the importance of addressing examiner scoring effects in OSCE assessments. The MFRM model offers a robust framework for tracking and mitigating IPD, contributing to the validity and reliability of OSCEs in evaluating clinical competence.

摘要

理论依据

客观结构化临床考试(OSCEs)被广泛用于评估临床能力,尤其是在诸如医学执照考试等高风险环境中。然而,OSCE案例在多次考试中的重复使用引发了对参数稳定性的担忧,即所谓的项目参数漂移(IPD)。

目的

本研究旨在调查重复使用的OSCE案例中的IPD情况,同时使用多面Rasch测量(MFRM)模型考虑考官评分效应。

方法

使用MFRM模型分析了国际教育护士能力评估项目(IENCAP)七次考试中重复使用的12个OSCE案例的数据。每个案例被视为一个项目,并在分析中考虑了考官评分效应。

结果

结果表明,尽管考虑了考官效应,但所有案例都表现出一定程度的IPD,平均绝对IPD为0.21对数单位。三个案例呈现出正向趋势。在不变性违反0.58对数单位的情况下,IPD在1.19%的估计中显著影响分数决策。

结论

这些发现表明,虽然OSCE案例在重复使用时表现出足够的稳定性,但持续监测对于确保分数解释和决策的准确性至关重要。该研究提供了一个检测IPD相关水平的客观阈值,并强调了在OSCE评估中解决考官评分效应的重要性。MFRM模型为跟踪和减轻IPD提供了一个强大的框架,有助于提高OSCE在评估临床能力方面的有效性和可靠性。