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RESEARCH LIBRARY

View the latest publications from members of the NBME research team

Showing 21 - 30 of 113 Research Library Publications
Posted: | Erfan Khalaji, Sukru Eraslan, Yeliz Yesilada, Victoria Yaneva

Behavior & Information Technology

 

This study builds upon prior work in this area that focused on developing a machine-learning classifier trained on gaze data from web-related tasks to detect ASD in adults. Using the same data, we show that a new data pre-processing approach, combined with an exploration of the performance of different classification algorithms, leads to an increased classification accuracy compared to prior work.

Posted: | Chunyan Liu, Dan Jurich

Applied Psychological Measurement: Volume 47, issue 1, page(s) 34-47

 

This study used simulation to investigate the performance of the t-test method in detecting outliers and compared its performance with other outlier detection methods, including the logit difference method with 0.5 and 0.3 as the cutoff values and the robust z statistic with 2.7 as the cutoff value.

Posted: | Mark Gierl, Kimberly Swygert, Donna Matovinovic, Allison Kulesher, Hollis Lai

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

 

The purpose of this analysis is to describe these sources of evidence that can be used to evaluate the quality of generated items. The important role of medical expertise in the development and evaluation of the generated items is highlighted as a crucial requirement for producing validation evidence.

Posted: | Jonathan D. Rubright, Thai Q. Ong, Michael G. Jodoin, David A. Johnson, Michael A. Barone

Academic Medicine: Volume 97 - Issue 8 - Pages 1219-1225

 

Since 2012, the United States Medical Licensing Examination (USMLE) has maintained a policy of ≤ 6 attempts on any examination component. The purpose of this study was to empirically examine the appropriateness of existing USMLE retake policy.

Posted: | Thai Q. Ong, Dena A. Pastor

Applied Psychological Measurement: Volume 46, issue 2, page(s) 571-588

 

This study evaluates the degree to which position effects on two separate low-stakes tests administered to two different samples were moderated by different item (item length, number of response options, mental taxation, and graphic) and examinee (effort, change in effort, and gender) variables. Items exhibited significant negative linear position effects on both tests, with the magnitude of the position effects varying from item to item.

Posted: | Victoria Yaneva, Janet Mee, Le Ha, Polina Harik, Michael Jodoin, Alex Mechaber

Proceedings of the 2022 Conference of the North American Chapter of the Association for Computational Linguistics: Human Language Technologies - p 2880–2886

 

This paper presents a corpus of 43,985 clinical patient notes (PNs) written by 35,156 examinees during the high-stakes USMLE® Step 2 Clinical Skills examination.

Posted: | Chunyan Liu, Daniel Jurich

Applied Psychological Measurement: Volume 46, issue 6, page(s) 529-547

 

The current simulation study demonstrated that the sampling variance associated with the item response theory (IRT) item parameter estimates can help detect outliers in the common items under the 2-PL and 3-PL IRT models. The results showed the proposed sampling variance statistic (SV) outperformed the traditional displacement method with cutoff values of 0.3 and 0.5 along a variety of evaluation criteria.

Posted: | Monica M. Cuddy, Chunyan Liu, Wenli Ouyang, Michael A. Barone, Aaron Young, David A. Johnson

Academic Medicine: June 2022

 

This study examines the associations between Step 3 scores and subsequent receipt of disciplinary action taken by state medical boards for problematic behavior in practice. It analyzes Step 3 total, Step 3 computer-based case simulation (CCS), and Step 3multiple-choice question (MCQ) scores.

Posted: | Daniel Jurich, Chunyan Liu, Amanda Clauser

Journal of Graduate Medical Education: Volume 14, Issue 3, Pages 353-354

 

Letter to the editor.

Posted: | Peter Baldwin, Brian E. Clauser

Journal of Educational Measurement: Volume 59, Issue 2, Pages 140-160

 

A conceptual framework for thinking about the problem of score comparability is given followed by a description of three classes of connectives. Examples from the history of innovations in testing are given for each class.