Showing 1 - 3 of 3 Research Library Publications

Quantifying the Bias of Non-linear Equating and Score Transformations

Posted: | Matthias von Davier, Brian Clauser

Essays on Contemporary Psychometrics: Pages 163-180

 

This paper shows that using non-linear functions for equating and score transformations leads to consequences that are not commensurable with classical test theory (CTT). More specifically, a well-known theorem from calculus shows that the expected value of a non-linearly transformed variable does not equal the transformed expected value of this variable.

Category:Assessment-Oriented Research, Scoring

The USMLE® Step 2 Clinical Skills Patient Note Corpus

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.

Category:Product-Oriented Research, USMLE

In Reply to Spadafore and Monrad

Posted: | J. Salt, P. Harik, M. A. Barone

Academic Medicine: July 2019 - Volume 94 - Issue 7 - p 926-927

 

A response to concerns regarding potential bias in the implementation of machine learning (ML) to scoring of the United States Medical Licensing Examination Step 2 Clinical Skills (CS) patient notes (PN).

Category:Product-Oriented Research, USMLE