Academic Medicine: Volume 97 - Issue 5 - Pages 718-722
The purpose of this 2019–2020 study was to statistically identify and qualitatively review USMLE Step 1 exam questions (items) using differential item functioning (DIF) methodology.
Academic Medicine: Volume 97 - Issue 4 - Pages 476-477
Response to to emphasize that although findings support a relationship between multiple USMLE attempts and increased likelihood of receiving disciplinary actions, the findings in isolation are not sufficient for proposing new policy on how many attempts should be allowed.
Academic Medicine: Volume 97 - Issue 4 - Pages 467-477
Letter to the editor; response to D'Eon and Kleinheksel.
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.
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.
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.
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.
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.
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.
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.