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RESEARCH LIBRARY

View the latest publications from members of the NBME research team

Showing 1 - 5 of 5 Research Library Publications
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 2 - e30988

 

This article aims to compare the reliability of two assessment groups (crowdsourced laypeople and patient advocates) in rating physician error disclosure communication skills using the Video-Based Communication Assessment app.

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: | 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addresses timing considerations in the context of other types of performance assessments and reports on a previously unpublished experiment examining timing with respect to performance on computer-based case simulations that are used in physician licensure.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: | M. J. Margolis, B. E. Clauser

Handbook of Automated Scoring

 

In this chapter we describe the historical background that led to development of the simulations and the subsequent refinement of the construct that occurred as the interface was being developed. We then describe the evolution of the automated scoring procedures from linear regression modeling to rule-based procedures.

Posted: | S. Tackett, M. Raymond, R. Desai, S. A. Haist, A. Morales, S. Gaglani, S. G. Clyman

Medical Teacher: Volume 40 - Issue 8 - p 838-841

 

Adaptive learning requires frequent and valid assessments for learners to track progress against their goals. This study determined if multiple-choice questions (MCQs) “crowdsourced” from medical learners could meet the standards of many large-scale testing programs.