Showing 1 - 2 of 2 Research Library Publications

Differential Item Functioning Analysis of United States Medical Licensing Examination Step 1 Items

Posted: | Jonathan D. Rubright, Michael Jodoin, Stephanie Woodward, Michael A. Barone

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.

Category:Product-Oriented Research, USMLE, Assessment-Oriented Research, Links to Outcomes

Automated Item Generation with Recurrent Neural Networks

Posted: | M. von Davier

Psychometrika 83, 847–857 (2018)

 

Utilizing algorithms to generate items in educational and psychological testing is an active area of research for obvious reasons: Test items are predominantly written by humans, in most cases by content experts who represent a limited and potentially costly resource. Using algorithms instead has the appeal to provide an unlimited resource for this crucial part of assessment development.

Category:Assessment-Oriented Research, Applications of Technology