Showing 11 - 20 of 23 Research Library Publications
Posted: | P. Harik, R.A. Feinberg RA, B.E. Clauser

Integrating Timing Considerations to Improve Testing Practices

 

This chapter addresses a different aspect of the use of timing data: it provides a framework for understanding how an examinee's use of time interfaces with time limits to impact both test performance and the validity of inferences made based on test scores. It focuses primarily on examinations that are administered as part of the physician licensure process.

Posted: | M.J. Margolis, R.A. Feinberg (eds)

Integrating Timing Considerations to Improve Testing Practices

 

This book synthesizes a wealth of theory and research on time issues in assessment into actionable advice for test development, administration, and scoring. 

Posted: | M. J. Margolis, M. von Davier, B. E. Clauser

Integrating Timing Considerations to Improve Testing Practices

 

This chapter addresses timing considerations in the context of other types of performance assessments and reports on a previously unpublished experiment examining timing with respect to performance on computer-based case simulations that are used in physician licensure.

Posted: | D. Jurich

Integrating Timing Considerations to Improve Testing Practices

 

This chapter presents a historical overview of the testing literature that exemplifies the theoretical and operational evolution of test speededness.

Posted: | D. Jurich, S.A. Santen, M. Paniagua, A. Fleming, V. Harnik, A. Pock, A. Swan-Sein, M.A. Barone, M. Daniel

Academic Medicine: Volume 95 - Issue 1 - p 111-121

 

This paper investigates the effect of a change in the United States Medical Licensing Examination Step 1 timing on Step 2 Clinical Knowledge (CK) scores, the effect of lag time on Step 2 CK performance, and the relationship of incoming Medical College Admission Test (MCAT) score to Step 2 CK performance pre and post change.

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).

Posted: | D. Jurich, M. Daniel, M. Paniagua, A. Fleming, V. Harnik, A. Pock, A. Swan-Sein, M. A. Barone, S.A. Santen

Academic Medicine: March 2019 - Volume 94 - Issue 3 - p 371-377

 

Schools undergoing curricular reform are reconsidering the optimal timing of Step 1. This study provides a psychometric investigation of the impact on United States Medical Licensing Examination Step 1 scores of changing the timing of Step 1 from after completion of the basic science curricula to after core clerkships.

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

Academic Medicine: March 2019 - Volume 94 - Issue 3 - p 314-316

 

The United States Medical Licensing Examination Step 2 Clinical Skills (CS) exam uses physician raters to evaluate patient notes written by examinees. In this Invited Commentary, the authors describe the ways in which the Step 2 CS exam could benefit from adopting a computer-assisted scoring approach that combines physician raters’ judgments with computer-generated scores based on natural language processing (NLP).

Posted: | M. Paniagua, P. Katsufrakis

Investigación en Educación Médica, Vol. 8, Núm. 29, 2019

Posted: | M. Paniagua, J. Salt, K. Swygert, M. Barone

Journal of Medical Regulation (2018) 104 (2): 51–57

 

There have been a number of important stakeholder opinions critical of the Step 2 Clinical Skills Examination (CS) in the United States Medical Licensing Examination (USMLE) licensure sequence. The Resident Program Director (RPD) Awareness survey was convened to gauge perceptions of current and potential Step 2 CS use, attitudes towards the importance of residents' clinical skills, and awareness of a medical student petition against Step 2 CS. This was a cross-sectional survey which resulted in 205 responses from a representative sampling of RPDs across various specialties, regions and program sizes.