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RESEARCH LIBRARY

View the latest publications from members of the NBME research team

Showing 1 - 4 of 4 Research Library Publications
Posted: | Stanley J. Hamstra, Monica M. Cuddy, Daniel Jurich, Kenji Yamazaki, John Burkhardt, Eric S. Holmboe, Michael A. Barone, Sally A. Santen

Academic Medicine: Volume 96 - Issue 9 - Pages 1324-1331

 

This study examines associations between USMLE Step 1 and Step 2 Clinical Knowledge (CK) scores and ACGME emergency medicine (EM) milestone ratings.

Posted: | Carol Morrison, Jennifer Wise, Marie Maranki, Linette Ross

Medical Science Educator: Volume 31, p 607–613 (2021)

 

This study extended previous research on the NBME Clinical Science Mastery Series self-assessments to investigate the utility of recently released self-assessments for students completing Family Medicine clerkships and Emergency Medicine sub-internships and preparing for summative assessments.

Posted: | Z. Jiang, M.R. Raymond

Applied Psychological Measurement: Volume: 42 issue: 8, page(s): 595-612

 

Conventional methods for evaluating the utility of subscores rely on reliability and correlation coefficients. However, correlations can overlook a notable source of variability: variation in subtest means/difficulties. Brennan introduced a reliability index for score profiles based on multivariate generalizability theory, designated as G, which is sensitive to variation in subtest difficulty. However, there has been little, if any, research evaluating the properties of this index. A series of simulation experiments, as well as analyses of real data, were conducted to investigate G under various conditions of subtest reliability, subtest correlations, and variability in subtest means.

Posted: | E. S. Miller, C. Heitz, L. Ross, M. S. Beeson

Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, 19(1)

 

This review is a descriptive summary of the development of National EM M4 examinations, Version 1 (V1) and Version 2 (V2), and the NBME EM Advanced Clinical Examination (ACE) and their relevant usage and performance data. In particular, it describes how examination content was edited to affect desired changes in examination performance data and offers a model for educators seeking to develop their own examinations.