Showing 1 - 2 of 2 Research Library Publications
Posted: | Daniel Jurich, Chunyan Liu

Applied Measurement Education: Volume 36, Issue 4, Pages 326-339

 

This study examines strategies for detecting parameter drift in small-sample equating, crucial for maintaining score comparability in high-stakes exams. Results suggest that methods like mINFIT, mOUTFIT, and Robust-z effectively mitigate drifting anchor items' effects, while caution is advised with the Logit Difference approach. Recommendations are provided for practitioners to manage item parameter drift in small-sample settings.
 

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.