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RESEARCH LIBRARY

View recent publications to learn how the NBME research team is working to improve our products and services, advance the field of assessment science, and support the health professions.

Showing 11 - 20 of 69 Research Library Publications
Posted: September 1, 2020 | Y.S. Park, A. Morales, L. Ross, M. Paniagua

Evaluation & the Health Professions: Volume: 43 issue: 3, page(s): 149-158

 

This study examines the innovative and practical application of DCM framework to health professions educational assessments using retrospective large-scale assessment data from the basic and clinical sciences: National Board of Medical Examiners Subject Examinations in pathology (n = 2,006) and medicine (n = 2,351).

Posted: September 1, 2020 | F.S. McDonald, D. Jurich, L.M. Duhigg, M. Paniagua, D. Chick, M. Wells, A. Williams, P. Alguire

Academic Medicine: September 2020 - Volume 95 - Issue 9 - p 1388-1395

 

This article aims to assess the correlations between United States Medical Licensing Examination (USMLE) performance, American College of Physicians Internal Medicine In-Training Examination (IM-ITE) performance, American Board of Internal Medicine Internal Medicine Certification Exam (IM-CE) performance, and other medical knowledge and demographic variables.

Posted: September 1, 2020 | L. E. Peterson, J. R. Boulet, B. E. Clauser

Academic Medicine: Volume 95 - Issue 9 - p 1396-1403

 

The objective of this study was to evaluate the associations of all required standardized examinations in medical education with ABFM certification examination scores and eventual ABFM certification.

Posted: September 1, 2020 | M. M. Hammoud, L. M.Foster, M. M.Cuddy, D. B. Swanson, P. M. Wallach

American Journal of Obstetrics and Gynecology, Volume 223, Issue 3, Pages 435.e1-435.e6

 

The purpose of this study was to examine medical student reporting of electronic health record use during the obstetrics and gynecology clerkship.

Posted: July 23, 2020 | M. G. Jodoin, J. D. Rubright

Educational Measurement: Issues and Practice

 

This short, invited manuscript focuses on the implications for certification and licensure assessment organizations as a result of the wide‐spread disruptions caused by the COVID-19 pandemic. 

Posted: June 25, 2020 | P. Harik, R.A. Feinberg RA, B.E. Clauser

Integrating Timing Considerations to Improve Testing Practices

 

This chapter addresses a different aspect of the use of timing data: it provides a framework for understanding how an examinee's use of time interfaces with time limits to impact both test performance and the validity of inferences made based on test scores. It focuses primarily on examinations that are administered as part of the physician licensure process.

Posted: June 25, 2020 | M.J. Margolis, R.A. Feinberg (eds)

Integrating Timing Considerations to Improve Testing Practices

 

This book synthesizes a wealth of theory and research on time issues in assessment into actionable advice for test development, administration, and scoring. 

Posted: June 25, 2020 | M. J. Margolis, M. von Davier, B. E. Clauser

Integrating Timing Considerations to Improve Testing Practices

 

This chapter addresses timing considerations in the context of other types of performance assessments and reports on a previously unpublished experiment examining timing with respect to performance on computer-based case simulations that are used in physician licensure.

Posted: June 25, 2020 | D. Jurich

Integrating Timing Considerations to Improve Testing Practices

 

This chapter presents a historical overview of the testing literature that exemplifies the theoretical and operational evolution of test speededness.

Posted: June 3, 2020 | B. E. Clauser, M. Kane, J. C. Clauser

Journal of Educational Measurement: Volume 57, Issue 2, Pages 216-229

 

This article presents two generalizability-theory–based analyses of the proportion of the item variance that contributes to error in the cut score. For one approach, variance components are estimated on the probability (or proportion-correct) scale of the Angoff judgments, and for the other, the judgments are transferred to the theta scale of an item response theory model before estimating the variance components.