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Quality control of an OSCE using generalizability theory and many-faceted Rasch measurement

机译:使用概化理论和多方面Rasch测量的OSCE质量控制

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An Objective Structured Clinical Examination (OSCE) is an effective method for evaluating competencies. However, scores obtained from an OSCE are vulnerable to many potential measurement errors that cases, items, or standardized patients (SPs) can introduce. Monitoring these sources of errors is an important quality control mechanism to ensure valid interpretations of the scores. We describe how one can use generalizability theory (GT) and many-faceted Rasch measurement (MFRM) approaches in quality control monitoring of an OSCE. We examined the communication skills OSCE of 79 residents from one Midwestern university in the United States. Each resident performed six communication tasks with SPs, who rated the performance of each resident using 18 5-category rating scale items. We analyzed their ratings with generalizability and MFRM studies. The generalizability study revealed that the largest source of error variance besides the residual error variance was SPs/cases. The MFRM study identified specific SPs/cases and items that introduced measurement errors and suggested the nature of the errors. SPs/cases were significantly different in their levels of severity/difficulty. Two SPs gave inconsistent ratings, which suggested problems related to the ways they portrayed the case, their understanding of the rating scale, and/or the case content. SPs interpreted two of the items inconsistently, and the rating scales for two items did not function as 5-category scales. We concluded that generalizability and MFRM analyses provided useful complementary information for monitoring and improving the quality of an OSCE.
机译:客观结构化临床考试(OSCE)是评估能力的有效方法。但是,从OSCE获得的分数很容易受到案例,项目或标准化患者(SP)可能引入的许多潜在测量误差的影响。监视这些错误源是确保分数有效解释的重要质量控制机制。我们描述了如何在OSCE的质量控制监视中使用概化理论(GT)和多面Rasch度量(MFRM)方法。我们研究了来自美国一所中西部大学的79名居民的沟通技巧OSCE。每个居民执行与SP的六项通信任务,SP使用18个5类评级量表项对每个居民的表现进行评级。我们通过推广性和MFRM研究分析了他们的评级。概化性研究表明,除了剩余误差方差外,最大误差方差源是SPs /案例。 MFRM研究确定了特定的SP /案例和项目,这些项目/案例和项目引入了测量误差并提出了误差的性质。 SP /案例的严重性/难度级别显着不同。两个SP给出的评分不一致,这提示了与他们描述案件的方式,对评分等级的理解和/或案件内容有关的问题。 SP对两个项目的解释不一致,并且两个项目的等级量表不能用作5类量表。我们得出的结论是,可概括性和MFRM分析为监视和改善OSCE的质量提供了有用的补充信息。

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