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RESEARCH LIBRARY

View the latest publications from members of the NBME research team

Showing 31 - 40 of 84 Research Library Publications
Posted: | Katie L. Arnhart, Monica M. Cuddy, David Johnson, Michael A. Barone, Aaron Young

Academic Medicine: Volume 97 - Issue 4 - Pages 467-477

 

Letter to the editor; response to D'Eon and Kleinheksel.

Posted: | Richard A. Feinberg, Carol Morrison, Mark R. Raymond

Educational Measurement: Issues and Practices: Volume 41 - Issue 1 - Pages 95-96

 

Often unanticipated situations arise that can create a range of problems from threats to score validity, to unexpected financial costs, and even longer-term reputational damage. This module discusses some of these unusual challenges that usually occur in a credentialing program.

Posted: | Andrew A White, Ann M King, Angelo E D’Addario, Karen Berg Brigham, Suzanne Dintzis, Emily E Fay, Thomas H Gallagher, Kathleen M Mazor

JMIR Medical Education: Volume 8 , Issue 4

 

The Video-based Communication Assessment (VCA) app is a novel tool for simulating communication scenarios for practice and obtaining crowdsourced assessments and feedback on physicians’ communication skills. This article aims to evaluate the efficacy of using VCA practice and feedback as a stand-alone intervention for the development of residents’ error disclosure skills.

Posted: | Michael Barone, Keith S. Coulter, Katina Kulow, Xingbo (Bo) Li

Psychology & Marketing: Volume 39 - Issue 6 - Pages 1190-1203

 

Does seeing a price in a physically low (vs. high) location prompt consumers to believe that the featured product is less costly? This research further specifies when price location effects are likely to arise, increasing our understanding of pricing in general and this locational phenomenon in particular.

Posted: | Ian Micir, Kimberly Swygert, Jean D'Angelo

Journal of Applied Technology: Volume 23 - Special Issue 1 - Pages 30-40

 

The interpretations of test scores in secure, high-stakes environments are dependent on several assumptions, one of which is that examinee responses to items are independent and no enemy items are included on the same forms. This paper documents the development and implementation of a C#-based application that uses Natural Language Processing (NLP) and Machine Learning (ML) techniques to produce prioritized predictions of item enemy statuses within a large item bank.

Posted: | Hilary Barnes, Asefeh Faraz Covelli, Jonathan D. Rubright

Journal of the American Association of Nurse Practitioners: January 2022 - Volume 34 - Issue 1 - p 78-88

The purpose of this study was to develop and examine the initial factor structure of a novel instrument that measures NNPRT.

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: | Katie L. Arnhart, Monica M. Cuddy, David Johnson, Michael A. Barone, Aaron Young

Academic Medicine: Volume 96 - Issue 9 - Pages 1319-1323

 

This study examined the relationship between USMLE attempts and the likelihood of receiving disciplinary actions from state medical boards.

Posted: | Karen E. Hauer, Daniel Jurich, Jonathan Vandergrift, Rebecca S. Lipner, Furman S. McDonald, Kenji Yamazaki, Davoren Chick, Kevin McAllister, Eric S. Holmboe

Academic Medicine: Volume 96 - Issue 6 - p 876-884(9)

 

This study examines whether there are group differences in milestone ratings submitted by program directors working with clinical competency committees based on gender for internal medicine residents and whether women and men rated similarly on subsequent in-training and certification examinations.

Posted: | Daniel Jurich, Michelle Daniel, Karen E. Hauer, Christine Seibert, Latha Chandran, Arnyce R. Pock, Sara B. Fazio, Amy Fleming, Sally A. Santen

Teaching and Learning in Medicine: Volume 33 - Issue 4 - p 366-381

 

CSE scores for students from eight schools that moved Step 1 after core clerkships between 2012 and 2016 were analyzed in a pre-post format. Hierarchical linear modeling was used to quantify the effect of the curriculum on CSE performance. Additional analysis determined if clerkship order impacted clinical subject exam performance and whether the curriculum change resulted in more students scoring in the lowest percentiles before and after the curricular change.