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ERIC Number: EJ919575
Record Type: Journal
Publication Date: 2011
Pages: 10
Abstractor: As Provided
Reference Count: 13
ISSN: ISSN-1087-0059
Joining the Conversation: Predictors of Success on the United States Medical Licensing Examinations (USMLE)
Gohara, Sabry; Shapiro, Joseph I.; Jacob, Adam N.; Khuder, Sadik A.; Gandy, Robyn A.; Metting, Patricia J.; Gold, Jeffrey; Kleshinski, James; and James Kleshinski
Learning Assistance Review, v16 n1 p11-20 Spr 2011
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. (Contains 2 tables.)
National College Learning Center Association. Web site:
Publication Type: Journal Articles; Reports - Research
Education Level: N/A
Audience: N/A
Language: English
Sponsor: N/A
Authoring Institution: N/A
Identifiers - Location: United States
Identifiers - Assessments and Surveys: Medical College Admission Test; United States Medical Licensing Examination