Literature DB >> 18823519

Establishing the criterion validity of the Graduate Medical School Admissions Test (GAMSAT).

Hamish Coates1.   

Abstract

CONTEXT: This paper examines the criterion validity of the Graduate Medical School Admissions Test (GAMSAT), which has been used since 1996 in Australia and more recently in the UK and Ireland. The study provides evidence on the extent to which GAMSAT, in combination with grade point average (GPA) and interview scores, adds value to determining an individual's capability for medical study. The study responds to increasing demand for information on the validity of selection processes. Criterion validity is important because it helps to empirically situate selection tests within their broader contexts by, for instance, providing an assurance to educators and the public that test results are valid and add value to selection decisions.
METHODS: After introducing the rationale and focus of the study, the paper summarises the data and research methods, presents statistical results and draws conclusions that advance current insight into medical school admissions processes. The results are based on data from six institutions and 351 students.
RESULTS: Analyses of GAMSAT, interview and GPA scores show, in summary, that: there are fairly high levels of divergence between these three measures; that relationships between the measures and Year 1 marks vary across institutions, and that a combination of GAMSAT and GPA scores provides the best means of predicting Year 1 performance.

Mesh:

Year:  2008        PMID: 18823519     DOI: 10.1111/j.1365-2923.2008.03154.x

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


  15 in total

1.  Comparison of the sensitivity of the UKCAT and A Levels to sociodemographic characteristics: a national study.

Authors:  Paul A Tiffin; John C McLachlan; Lisa Webster; Sandra Nicholson
Journal:  BMC Med Educ       Date:  2014-01-08       Impact factor: 2.463

2.  Predictive validity of the UK clinical aptitude test in the final years of medical school: a prospective cohort study.

Authors:  Adrian Husbands; Alistair Mathieson; Jonathan Dowell; Jennifer Cleland; Rhoda MacKenzie
Journal:  BMC Med Educ       Date:  2014-04-23       Impact factor: 2.463

3.  GAMSAT: A 10-year retrospective overview, with detailed analysis of candidates' performance in 2014.

Authors:  Annette Mercer; Brendan Crotty; Louise Alldridge; Luc Le; Veronica Vele
Journal:  BMC Med Educ       Date:  2015-03-05       Impact factor: 2.463

4.  Graduate entry to medicine: widening psychological diversity.

Authors:  David James; Eamonn Ferguson; David Powis; Miles Bore; Don Munro; Ian Symonds; Janet Yates
Journal:  BMC Med Educ       Date:  2009-11-13       Impact factor: 2.463

5.  The validity of Iran's national university entrance examination (Konkoor) for predicting medical students' academic performance.

Authors:  Yasin Farrokhi-Khajeh-Pasha; Saharnaz Nedjat; Aeen Mohammadi; Elaheh Malakan Rad; Reza Majdzadeh; Farshid Monajemi; Ehsan Jamali; Shahryar Yazdani
Journal:  BMC Med Educ       Date:  2012-07-28       Impact factor: 2.463

6.  Profiling strugglers in a graduate-entry medicine course at Nottingham: a retrospective case study.

Authors:  Paul Garrud; Janet Yates
Journal:  BMC Med Educ       Date:  2012-12-18       Impact factor: 2.463

7.  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

8.  Predicting academic outcomes in an Australian graduate entry medical programme.

Authors:  Ian B Puddey; Annette Mercer
Journal:  BMC Med Educ       Date:  2014-02-15       Impact factor: 2.463

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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