Cited by 46Medical Education and AdmissionsInnovations in Medical EducationPsychometric Methodologies and Testing

Predictive validity of the Biomedical Admissions Test: An evaluation and case study

McManus, I. C., Ferguson, Eamonn, Wakeford, Richard, Powis, David, James, David·2011·Medical Teacher

Abstract

There has been an increase in the use of pre-admission selection tests for medicine. Such tests need to show good psychometric properties. Here, we use a paper by Emery and Bell [2009. The predictive validity of the Biomedical Admissions Test for pre-clinical examination performance. Med Educ 43:557-564] as a case study to evaluate and comment on the reporting of psychometric data in the field of medical student selection (and the comments apply to many papers in the field). We highlight pitfalls when reliability data are not presented, how simple zero-order associations can lead to inaccurate conclusions about the predictive validity of a test, and how biases need to be explored and reported. We show with BMAT that it is the knowledge part of the test which does all the predictive work. We show that without evidence of incremental validity it is difficult to assess the value of any selection tests for medicine.

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Crossref · 10.3109/0142159x.2010.525267

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Authors
McManus, I. C., Ferguson, E., Wakeford, R., Powis, D., & James, D.
Affiliations
  • University College London (GB)
  • University of Nottingham (GB)
  • University of Cambridge (GB)
  • University of Newcastle Australia (AU)
Corresponding author
McManus, I. C.
Venue
Medical Teacher
Published
2010-12-23
Volume
33
Issue
1
Pages
53-57
ISSN
  • 0142-159X (ISSN-L)
  • 1466-187X
OpenAlex
W2138777855
Cited by
46
References
3
Citations by year
2026: 1 · 2025: 3 · 2022: 3 · 2021: 3 · 2020: 5 · 2019: 3 · 2018: 5 · 2017: 1 · 2016: 6 · 2015: 4 · 2014: 1 · 2013: 9 · 2012: 1
FWCI
3.51
Type
journal article
Language
en
Open access
closed
Locations
  • Medical Teacher (publishedVersion)
  • PubMed (publishedVersion)
  • UCL Discovery (University College London) (submittedVersion)
Topics
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Medical Education and Admissions
  • Health Sciences › Medicine › Public Health, Environmental and Occupational Health › Innovations in Medical Education
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
Keywords
predictive validity, medical student selection, reliability statistics, incremental validity, selection bias
MeSH terms
College Admission Test, Female, Forecasting, Humans, Male, Psychometrics, Schools, Medical, Reproducibility of Results, Clinical Medicine

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