Document Detail


Applicants to medical school: the value of predicted school leaving grades.
MedLine Citation:
PMID:  9488849     Owner:  NLM     Status:  MEDLINE    
Abstract/OtherAbstract:
Among school leavers applying to study medicine in the United Kingdom a majority offer General Certificate of Education, Advanced Level (A-level) examinations as part of the assessment of academic ability. At the time of application, up to 9 months before completing A-level studies, schools are requested to predict the final grades likely to be achieved by the applicant. A total of 5054 A-level predictions from 1661 applicants to a single medical school were compared with the results achieved. Predicted and achieved grades were both high with 93% of predicted grades being A or B. Over half the predictions were correct, with 41% of predictions above achieved grades and only 7% below achieved grade. Independent and selective schools predicted higher grades than comprehensive schools and sixth form colleges, and their pupils were more likely to achieve the entrance requirements. A-level predictions for medical school applicants are a strong predictor of achievement and should continue to be regarded as a useful part of the selection process.
Authors:
A B Lumb; A Vail
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Publication Detail:
Type:  Journal Article    
Journal Detail:
Title:  Medical education     Volume:  31     ISSN:  0308-0110     ISO Abbreviation:  Med Educ     Publication Date:  1997 Sep 
Date Detail:
Created Date:  1998-03-12     Completed Date:  1998-03-12     Revised Date:  2004-11-17    
Medline Journal Info:
Nlm Unique ID:  7605655     Medline TA:  Med Educ     Country:  ENGLAND    
Other Details:
Languages:  eng     Pagination:  307-11     Citation Subset:  IM    
Affiliation:
School of Medicine, University of Leeds, UK.
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MeSH Terms
Descriptor/Qualifier:
Adolescent
Education, Medical, Undergraduate*
Educational Measurement*
England
Female
Forecasting
Humans
Male
School Admission Criteria
Schools, Medical*
Sensitivity and Specificity

From MEDLINE®/PubMed®, a database of the U.S. National Library of Medicine


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