Literature DB >> 21182383

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

I C McManus1, Eamonn Ferguson, Richard Wakeford, David Powis, David James.   

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.

Mesh:

Year:  2011        PMID: 21182383     DOI: 10.3109/0142159X.2010.525267

Source DB:  PubMed          Journal:  Med Teach        ISSN: 0142-159X            Impact factor:   3.650


  14 in total

1.  Reliability of a science admission test (HAM-Nat) at Hamburg medical school.

Authors:  Johanna Hissbach; Dietrich Klusmann; Wolfgang Hampe
Journal:  GMS Z Med Ausbild       Date:  2011-08-08

2.  Predictive validity of a new integrated selection process for medical school admission.

Authors:  Paul L Simpson; Helen A Scicluna; Philip D Jones; Andrew M D Cole; Anthony J O'Sullivan; Peter G Harris; Gary Velan; H Patrick McNeil
Journal:  BMC Med Educ       Date:  2014-04-23       Impact factor: 2.463

3.  What predicts performance during clinical psychology training?

Authors:  Katrina Scior; Caroline E Bradley; Henry W W Potts; Katherine Woolf; Amanda C de C Williams
Journal:  Br J Clin Psychol       Date:  2013-11-11

4.  Predictive validity of the UKCAT for medical school undergraduate performance: a national prospective cohort study.

Authors:  Paul A Tiffin; Lazaro M Mwandigha; Lewis W Paton; H Hesselgreaves; John C McLachlan; Gabrielle M Finn; Adetayo S Kasim
Journal:  BMC Med       Date:  2016-09-26       Impact factor: 8.775

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.

Authors:  Evgenios Evgeniou; Loizou Peter; Maria Tsironi; Srinivasan Iyer
Journal:  J Educ Eval Health Prof       Date:  2013-02-05

7.  The Academic Backbone: longitudinal continuities in educational achievement from secondary school and medical school to MRCP(UK) and the specialist register in UK medical students and doctors.

Authors:  I C McManus; Katherine Woolf; Jane Dacre; Elisabeth Paice; Chris Dewberry
Journal:  BMC Med       Date:  2013-11-14       Impact factor: 8.775

8.  Construct-level predictive validity of educational attainment and intellectual aptitude tests in medical student selection: meta-regression of six UK longitudinal studies.

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

9.  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

10.  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

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