Literature DB >> 19493180

The predictive validity of the BioMedical Admissions Test for pre-clinical examination performance.

Joanne L Emery1, John F Bell.   

Abstract

CONTEXT: Some medical courses in the UK have many more applicants than places and almost all applicants have the highest possible previous and predicted examination grades. The BioMedical Admissions Test (BMAT) was designed to assist in the student selection process specifically for a number of 'traditional' medical courses with clear pre-clinical and clinical phases and a strong focus on science teaching in the early years. It is intended to supplement the information provided by examination results, interviews and personal statements. This paper reports on the predictive validity of the BMAT and its predecessor, the Medical and Veterinary Admissions Test.
METHODS: Results from the earliest 4 years of the test (2000-2003) were matched to the pre-clinical examination results of those accepted onto the medical course at the University of Cambridge. Correlation and logistic regression analyses were performed for each cohort.
RESULTS: Section 2 of the test ('Scientific Knowledge') correlated more strongly with examination marks than did Section 1 ('Aptitude and Skills'). It also had a stronger relationship with the probability of achieving the highest examination class.
CONCLUSIONS: The BMAT and its predecessor demonstrate predictive validity for the pre-clinical years of the medical course at the University of Cambridge. The test identifies important differences in skills and knowledge between candidates, not shown by their previous attainment, which predict their examination performance. It is thus a valid source of additional admissions information for medical courses with a strong scientific emphasis when previous attainment is very high.

Mesh:

Year:  2009        PMID: 19493180     DOI: 10.1111/j.1365-2923.2009.03367.x

Source DB:  PubMed          Journal:  Med Educ        ISSN: 0308-0110            Impact factor:   6.251


  16 in total

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Authors:  Johanna C Hissbach; Dietrich Klusmann; Wolfgang Hampe
Journal:  BMC Med Educ       Date:  2011-10-14       Impact factor: 2.463

5.  To what extent does the Health Professions Admission Test-Ireland predict performance in early undergraduate tests of communication and clinical skills? An observational cohort study.

Authors:  Maureen E Kelly; Daniel Regan; Fidelma Dunne; Patrick Henn; John Newell; Siun O'Flynn
Journal:  BMC Med Educ       Date:  2013-05-10       Impact factor: 2.463

6.  Assessment methods in surgical training in the United Kingdom.

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Journal:  J Educ Eval Health Prof       Date:  2013-02-05

7.  Same admissions tools, different outcomes: a critical perspective on predictive validity in three undergraduate medical schools.

Authors:  Daniel Edwards; Tim Friedman; Jacob Pearce
Journal:  BMC Med Educ       Date:  2013-12-27       Impact factor: 2.463

8.  The UKCAT-12 study: educational attainment, aptitude test performance, demographic and socio-economic contextual factors as predictors of first year outcome in a cross-sectional collaborative study of 12 UK medical schools.

Authors:  I C McManus; Chris Dewberry; Sandra Nicholson; Jonathan S Dowell
Journal:  BMC Med       Date:  2013-11-14       Impact factor: 8.775

9.  Academic Performance of Students with the Highest and Mediocre School-leaving Grades: Does the Aptitude Test for Medical Studies (TMS) Balance Their Prognoses?

Authors:  Guni Kadmon; Martina Kadmon
Journal:  GMS J Med Educ       Date:  2016-02-15

10.  Selection into medical school: from tools to domains.

Authors:  Tom M Wilkinson; Tim J Wilkinson
Journal:  BMC Med Educ       Date:  2016-10-03       Impact factor: 2.463

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