Showing 1 - 4 of 4 Research Library Publications
Posted: | Michael A. Barone, Jessica L. Bienstock, Elise Lovell, John R. Gimpel, Grant L. Lin, Jennifer Swails, George C. Mejicano

Journal of Graduate Medical Education: Volume 14, Issue 6, Pages 634-638

 

This article discusses recent recommendations from the UME-GME Review Committee (UGRC) to address challenges in the UME-GME transition—including complexity, negative impact on well-being, costs, and inequities.

Posted: | Jennifer L. Swails, Steven Angus, Michael Barone, Jessica Bienstock, Jesse Burk-Rafel, Michelle Roett, Karen E. Hauer

Academic Medicine: Volume 98 - Issue 2 - Pages 180-187

 

This article describes the work of the Coalition for Physician Accountability’s Undergraduate Medical Education to Graduate Medical Education Review Committee (UGRC) to apply a quality improvement approach and systems thinking to explore the underlying causes of dysfunction in the undergraduate medical education (UME) to graduate medical education (GME) transition.

Posted: | Victoria Yaneva, Brian E. Clauser, Amy Morales, Miguel Paniagua

Journal of Educational Measurement: Volume 58, Issue 4, Pages 515-537

 

In this paper, the NBME team reports the results an eye-tracking study designed to evaluate how the presence of the options in multiple-choice questions impacts the way medical students responded to questions designed to evaluate clinical reasoning. Examples of the types of data that can be extracted are presented. We then discuss the implications of these results for evaluating the validity of inferences made based on the type of items used in this study.

Posted: | P. Baldwin, M.J. Margolis, B.E. Clauser, J. Mee, M. Winward

Educational Measurement: Issues and Practice, 39: 37-44

 

This article presents the results of an experiment in which content experts were randomly assigned to one of two response probability conditions: .67 and .80. If the standard-setting judgments collected with the bookmark procedure are internally consistent, both conditions should produce highly similar cut scores.