Please use this identifier to cite or link to this item: https://hdl.handle.net/1959.11/20772
Title: Have we got the selection process right? The validity of selection tools for predicting academic performance in the first year of undergraduate medicine
Contributor(s): Lynagh, Marita (author); Kelly, Brian (author); Regan, Tim (author); McElduff, Patrick (author); David, Michael (author); Horton, Graeme (author); Walker, Ben (author); Powis, David (author); Bore, Miles (author); Munro, Donald (author); Symonds, Ian (author); Jones, Graham L (author)orcid ; Nagle, Amanda (author)
Publication Date: 2017
Open Access: Yes
DOI: 10.15694/mep.2017.000042
Handle Link: https://hdl.handle.net/1959.11/20772
Open Access Link: http://dx.doi.org/10.15694/mep.2017.000042
Abstract: Content: There remains much debate over the 'best' method for selecting students in to medicine. This study aimed to assess the predictive validity of four different selection tools with academic performance outcomes in first-year undergraduate medical students. Methods: Regression analyses were conducted between admission scores on previous academic performance - the Australian Tertiary Admission Rank (ATAR), the Undergraduate Medicine and Health Sciences Admission Test (UMAT), Multiple-Mini Interview (MMI) and the Personal Qualities Assessment (PQA) with student performance in first-year assessments of Multiple Choice Questions, Short Answer Questions, Objective Structured Clinical Examinations (OSCE) and Problem-Based Learning (PBL) Tutor ratings in four cohorts of students (N = 604, 90%). Results: All four selection tools were found to have significant predictive associations with one or more measures of student performance in Year One of undergraduate medicine. UMAT, ATAR and MMI scores consistently predicted first year performance on a number of outcomes. ATAR was the only selection tool to predict the likelihood of making satisfactory progress overall. Conclusions: All four selection tools play a contributing role in predicting academic performance in first year medical students. Further research is required to assess the validity of selection tools in predicting performance in the later years of medicine.
Publication Type: Journal Article
Source of Publication: MedEdPublish, 6(1), p. 1-14
Publisher: Association for Medical Education in Europe
Place of Publication: United Kingdom
ISSN: 2312-7996
Field of Research (FOR): 119999 Medical and Health Sciences not elsewhere classified
Peer Reviewed: Yes
HERDC Category Description: C1 Refereed Article in a Scholarly Journal
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