Title
Joining the conversation: Predictors of success on the United States Medical Licensing Examinations (USMLE)
Document Type
Article
Publication Date
2011
Abstract
The purpose of this study was to evaluate whether models based on pre-admission testing, including performance on the Medical College Admission Test (MCAT), performance on required courses in the medical school curriculum, or a combination of both could accurately predict performance of medical students on the United States Medical Licensing Examination (USMLE) Steps 1 and 2. Models were produced using stepwise linear regression and feed forward neural networks. Notable accuracy in predicting Step 1 and Step 2 scores were achieved from models integrating pre-admission variables with medical school coursework grades. Of interest, the coursework grades contributed far greater to these models than the pre-admission variables except the MCAT.
Recommended Citation
Gohara, S., Shapiro, J. I., Jacob, A. N., Khuder, S. A., Gandy, R. A., Metting, P. J.,... Kleshinski, J.(2011). Joining the conversation: Predictors of success on the United States Medical Licensing Examinations (USMLE). Learning Assistance Review, 16(1), 11-20.
Comments
The copy of record is available from the publisher at http://www.nclca.org/tlar_back_issues/spring11vol16num1.pdf#page=13. Copyright © 2011 Learning Assistance Review. Reprinted with permission. All rights reserved.