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Autor/inn/enWhite, Casey B.; Dey, Eric L.; Fantone, Joseph C.
TitelAnalysis of Factors that Predict Clinical Performance in Medical School
QuelleIn: Advances in Health Sciences Education, 14 (2009) 4, S.455-464 (10 Seiten)Infoseite zur Zeitschrift
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Spracheenglisch
Dokumenttypgedruckt; online; Zeitschriftenaufsatz
ISSN1382-4996
DOI10.1007/s10459-007-9088-9
SchlagwörterMedical Students; Search Committees (Personnel); Grade Point Average; Medical Schools; Student Diversity; Affirmative Action; Communication Skills; Minority Groups; Cohort Analysis; Structural Equation Models; College Entrance Examinations; Predictive Measurement; Predictive Validity; Academic Achievement; Admission Criteria; College Admission; Selective Admission; Medical College Admission Test
AbstractAcademic achievement indices including GPAs and MCAT scores are used to predict the spectrum of medical student academic performance types. However, use of these measures ignores two changes influencing medical school admissions: student diversity and affirmative action, and an increased focus on communication skills. To determine if GPA and MCAT predict performance in medical school consistently across students, and whether either predicts clinical performance in clerkships. A path model was developed to examine relationships among indices of medical student performance during the first three years of medical school for five cohorts of medical students. A structural equation approach was used to calculate the coefficients hypothesized in the model for majority and minority students. Significant differences between majority and minority students were observed. MCAT scores, for example, did not predict performance of minority students in the first year of medical school but did predict performance of majority students. This information may be of use to medical school admissions and resident selection committees. (As Provided).
AnmerkungenSpringer. 233 Spring Street, New York, NY 10013. Tel: 800-777-4643; Tel: 212-460-1500; Fax: 212-348-4505; e-mail: service-ny@springer.com; Web site: http://www.springerlink.com
Erfasst vonERIC (Education Resources Information Center), Washington, DC
Update2017/4/10
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