
RESEARCH LIBRARY
RESEARCH LIBRARY
View the latest publications from members of the NBME research team
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.
Applied Psychological Measurement: Volume: 42 issue: 8, page(s): 595-612
Conventional methods for evaluating the utility of subscores rely on reliability and correlation coefficients. However, correlations can overlook a notable source of variability: variation in subtest means/difficulties. Brennan introduced a reliability index for score profiles based on multivariate generalizability theory, designated as G, which is sensitive to variation in subtest difficulty. However, there has been little, if any, research evaluating the properties of this index. A series of simulation experiments, as well as analyses of real data, were conducted to investigate G under various conditions of subtest reliability, subtest correlations, and variability in subtest means.
Western Journal of Emergency Medicine: Integrating Emergency Care with Population Health, 19(1)
This review is a descriptive summary of the development of National EM M4 examinations, Version 1 (V1) and Version 2 (V2), and the NBME EM Advanced Clinical Examination (ACE) and their relevant usage and performance data. In particular, it describes how examination content was edited to affect desired changes in examination performance data and offers a model for educators seeking to develop their own examinations.
Medical Care: April 2017 - Volume 55 - Issue 4 - p 436-441
The objective of this study is to identify modifiable factors that improve the reliability of ratings of severity of health care–associated harm in clinical practice improvement and research.