Psychometric Structure of a Comprehensive Objective Structured Clinical Examination: A Factor Analytic Approach
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 me...
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creator | Volkan, Kevin Simon, Steven R Baker, Harley Todres, I. David |
description | 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. |
doi_str_mv | 10.1023/B:AHSE.0000027434.29926.9b |
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David</creator><creatorcontrib>Volkan, Kevin ; Simon, Steven R ; Baker, Harley ; Todres, I. David</creatorcontrib><description>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.</description><identifier>ISSN: 1382-4996</identifier><identifier>EISSN: 1573-1677</identifier><identifier>DOI: 10.1023/B:AHSE.0000027434.29926.9b</identifier><identifier>PMID: 15141127</identifier><language>eng</language><publisher>Heidelberg: Springer</publisher><subject>Clinical Competence - standards ; Clinical Experience ; Clinical Teaching (Health Professions) ; Curriculum subjects: programmes and methods ; Education, Medical, Undergraduate - standards ; Educational Measurement - methods ; Educational sciences ; Factor Analysis ; Factor Analysis, Statistical ; Factor Structure ; Humans ; Information Dissemination ; Medical and paramedical education ; Medical Care Evaluation ; Medical Education ; Medical Schools ; Medical Students ; Physical Examinations ; Physician Patient Relationship ; Program Effectiveness ; Psychometrics ; Quantitative psychology ; Teaching methods</subject><ispartof>Advances in health sciences education : theory and practice, 2004-01, Vol.9 (2), p.83-92</ispartof><rights>2004 INIST-CNRS</rights><rights>Advances in Health Sciences Education is a copyright of Springer, (2004). All Rights Reserved.</rights><lds50>peer_reviewed</lds50><woscitedreferencessubscribed>false</woscitedreferencessubscribed><citedby>FETCH-LOGICAL-c394t-c5cd3678183cc53f1b9aabb76d9cfccbbcefc163bc6cb042c8070745a17132633</citedby></display><links><openurl>$$Topenurl_article</openurl><openurlfulltext>$$Topenurlfull_article</openurlfulltext><thumbnail>$$Tsyndetics_thumb_exl</thumbnail><link.rule.ids>314,776,780,27901,27902</link.rule.ids><backlink>$$Uhttp://eric.ed.gov/ERICWebPortal/detail?accno=EJ924325$$DView record in ERIC$$Hfree_for_read</backlink><backlink>$$Uhttp://pascal-francis.inist.fr/vibad/index.php?action=getRecordDetail&idt=15805117$$DView record in Pascal Francis$$Hfree_for_read</backlink><backlink>$$Uhttps://www.ncbi.nlm.nih.gov/pubmed/15141127$$D View this record in MEDLINE/PubMed$$Hfree_for_read</backlink></links><search><creatorcontrib>Volkan, Kevin</creatorcontrib><creatorcontrib>Simon, Steven R</creatorcontrib><creatorcontrib>Baker, Harley</creatorcontrib><creatorcontrib>Todres, I. David</creatorcontrib><title>Psychometric Structure of a Comprehensive Objective Structured Clinical Examination: A Factor Analytic Approach</title><title>Advances in health sciences education : theory and practice</title><addtitle>Adv Health Sci Educ Theory Pract</addtitle><description>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.</description><subject>Clinical Competence - standards</subject><subject>Clinical Experience</subject><subject>Clinical Teaching (Health Professions)</subject><subject>Curriculum subjects: programmes and methods</subject><subject>Education, Medical, Undergraduate - standards</subject><subject>Educational Measurement - methods</subject><subject>Educational sciences</subject><subject>Factor Analysis</subject><subject>Factor Analysis, Statistical</subject><subject>Factor Structure</subject><subject>Humans</subject><subject>Information Dissemination</subject><subject>Medical and paramedical education</subject><subject>Medical Care Evaluation</subject><subject>Medical Education</subject><subject>Medical Schools</subject><subject>Medical Students</subject><subject>Physical Examinations</subject><subject>Physician Patient Relationship</subject><subject>Program Effectiveness</subject><subject>Psychometrics</subject><subject>Quantitative psychology</subject><subject>Teaching methods</subject><issn>1382-4996</issn><issn>1573-1677</issn><fulltext>true</fulltext><rsrctype>article</rsrctype><creationdate>2004</creationdate><recordtype>article</recordtype><sourceid>EIF</sourceid><sourceid>BENPR</sourceid><recordid>eNpdkV1v0zAUhiMEYh_wDxCymOAuJcdOYrt3WdUx0KQhDa4t-9RRUyVxsR1E_z3OWm0I3_hIfs57jvxk2QcoFlBQ9vl62dw-rBfFfCgvWbmgUtJ6Ic2L7BwqznKoOX-ZaiZoXkpZn2UXIewSzkCI19kZVFACUH6eue_hgFs32Og7JA_RTxgnb4lriSYrN-y93doxdL8tuTc7i3GunrANWfXd2KHuyfqPHrpRx86NS9KQG43RedKMuj_ElNzs995p3L7JXrW6D_bt6b7Mft6sf6xu87v7L19XzV2OTJYxxwo3rOYCBEOsWAtGam0MrzcSW0Rj0LYINTNYoylKiqLgBS8rDRwYrRm7zD4dc9PYX5MNUQ1dQNv3erRuCoqDTNlCJvDqP3DnJp_WDorSSkKV9hGJWh4p9C4Eb1u1992g_UFBoWYp6lrNUtSzFPUoRUmTmt-fRkxmsJvn1pOFBHw8ATqkv2y9HrEL_3CiqABm7t2Rs0nW0_P6m6QloxX7CwrcoDM</recordid><startdate>20040101</startdate><enddate>20040101</enddate><creator>Volkan, Kevin</creator><creator>Simon, Steven R</creator><creator>Baker, Harley</creator><creator>Todres, I. 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subjects | Clinical Competence - standards Clinical Experience Clinical Teaching (Health Professions) Curriculum subjects: programmes and methods Education, Medical, Undergraduate - standards Educational Measurement - methods Educational sciences Factor Analysis Factor Analysis, Statistical Factor Structure Humans Information Dissemination Medical and paramedical education Medical Care Evaluation Medical Education Medical Schools Medical Students Physical Examinations Physician Patient Relationship Program Effectiveness Psychometrics Quantitative psychology Teaching methods |
title | Psychometric Structure of a Comprehensive Objective Structured Clinical Examination: A Factor Analytic Approach |
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