Problem Statement And Background: While the psychometric properties of Objective Structured Clinical Examinations (OSCEs) have been studied, their latent structures have not been well characterized. This study examines a factor analytic model of a comprehensive OSCE and addresses implications for measurement of clinical performance.
Methods: An exploratory maximum likelihood factor analysis with a Promax rotation was used to derive latent structures for the OSCE.
Results: A model with two correlated factors fit the data well. The first factor was related to Physical Examination and History-Taking was labeled as information gathering, while the second factor was related to Differential Diagnosis/Clinical Reasoning, and Patient Interaction and was labeled as reasoning and information dissemination. Case Management did not contribute to either factor. The factors accounted for a total 61.6% of the variance in the skills variables.
Conclusions: Recognizing the psychometric components of OSCEs may support and enhance the use of OSCEs for measuring clinical competency of medical students.
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| http://dx.doi.org/10.1023/B:AHSE.0000027434.29926.9b | DOI Listing |
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