Showing 1 - 6 of 6 Research Library Publications
Posted: | Christopher Runyon, Polina Harik, Michael Barone

Diagnosis: Volume 10, Issue 1, Pages 54-60

 

This op-ed discusses the advantages of leveraging natural language processing (NLP) in the assessment of clinical reasoning. It also provides an overview of INCITE, the Intelligent Clinical Text Evaluator, a scalable NLP-based computer-assisted scoring system that was developed to measure clinical reasoning ability as assessed in the written documentation portion of the now-discontinued USMLE Step 2 Clinical Skills examination. 

Posted: | Hanin Rashid, Christopher Runyon, Jesse Burk-Rafel, Monica M. Cuddy, Liselotte Dyrbye, Katie Arnhart, Ulana Luciw-Dubas, Hilit F. Mechaber, Steve Lieberman, Miguel Paniagua

Academic Medicine: Volume 97 - Issue 11S - Page S176

 

As Step 1 begins to transition to pass/fail, it is interesting to consider the impact of score goal on wellness. This study examines the relationship between goal score, gender, and students’ self-reported anxiety, stress, and overall distress immediately following their completion of Step 1.

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: | 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: | 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.