Literature DB >> 2407256

Traditional predictors of performance in medical school.

K J Mitchell1.   

Abstract

This paper addresses the predictive value for performance in medical school of undergraduate grades, the Medical College Admission Test (MCAT), information on the selectivity of the undergraduate institution, and selected transcript data. The performance data examined were basic science grades; clinical science grades; scores on National Board of Medical Examiners examinations, Parts I, II, and III; and information on academic difficulty. Methodological sources of differences in validity data, including restriction in range, criterion attenuation, and method specificity, are discussed. Reported validity data affirm the substantial value of traditional academic predictors of performance in medical school. Selection committees should, nevertheless, supplement academic data with nonacademic and interview information. Their inclusion is particularly important for minority and disadvantaged applicants. Medical schools should assess the validity of their selection systems. Additional research on the relations between academic predictors and performance-based indexes of clinical competence and on the role of traditional predictors with regard to the recently declining medical school applicant pool is suggested.

Mesh:

Year:  1990        PMID: 2407256     DOI: 10.1097/00001888-199003000-00005

Source DB:  PubMed          Journal:  Acad Med        ISSN: 1040-2446            Impact factor:   6.893


  12 in total

1.  The impact of nonacademic variables on performance at two medical schools.

Authors:  C T Webb; W Sedlacek; D Cohen; P Shields; E Gracely; M Hawkins; L Nieman
Journal:  J Natl Med Assoc       Date:  1997-03       Impact factor: 1.798

2.  What must I do to succeed?: narratives from the US premedical experience.

Authors:  Katherine Y Lin; Renee R Anspach; Brett Crawford; Sonali Parnami; Andrea Fuhrel-Forbis; Raymond G De Vries
Journal:  Soc Sci Med       Date:  2014-08-19       Impact factor: 4.634

3.  Factors Associated with Acceptance of Repeat MCAT Test Takers into a West Virginian Allopathic Medical School.

Authors:  Manuel C Vallejo; Lauren M Wamsley; Christa L Lilly; Emily K Nease; Linda S Nield
Journal:  South Med J       Date:  2021-12       Impact factor: 0.954

4.  Can we improve on how we select medical students?

Authors:  Patricia Hughes
Journal:  J R Soc Med       Date:  2002-01       Impact factor: 18.000

5.  Medical students who decompress during the M-1 year outperform those who fail and repeat it: a study of M-1 students at the University of Illinois College of Medicine at Urbana-Champaign 1988-2000.

Authors:  Susan M Kies; Gregory G Freund
Journal:  BMC Med Educ       Date:  2005-05-19       Impact factor: 2.463

6.  Non-cognitive selected students do not outperform lottery-admitted students in the pre-clinical stage of medical school.

Authors:  Susanna M Lucieer; Karen M Stegers-Jager; Remy M J P Rikers; Axel P N Themmen
Journal:  Adv Health Sci Educ Theory Pract       Date:  2015-05-03       Impact factor: 3.853

7.  Validity of the Medical College Admission Test for predicting MD-PhD student outcomes.

Authors:  James L Bills; Jacob VanHouten; Michelle M Grundy; Roger Chalkley; Terence S Dermody
Journal:  Adv Health Sci Educ Theory Pract       Date:  2015-05-08       Impact factor: 3.853

8.  Chemistry courses as the turning point for premedical students.

Authors:  Donald A Barr; John Matsui; Stanley F Wanat; Maria Elena Gonzalez
Journal:  Adv Health Sci Educ Theory Pract       Date:  2009-06-06       Impact factor: 3.853

9.  A measurement perspective on affirmative action in U.S. medical education.

Authors:  Clarence D Kreiter
Journal:  Med Educ Online       Date:  2013-04-10

10.  Extracurricular activities of medical school applicants.

Authors:  Sang Hyun Kim
Journal:  Korean J Med Educ       Date:  2016-03-17
View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.