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How well do selection tools predict performance later in a medical programme?

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How well do selection tools predict performance later in a medical programme?

Content Provider	Springer Nature Link
Author	Shulruf, Boaz Poole, Phillippa Wang, Grace Ying Rudland, Joy Wilkinson, Tim
Copyright Year	2011
Abstract	The choice of tools with which to select medical students is complex and controversial. This study aimed to identify the extent to which scores on each of three admission tools (Admission GPA, UMAT and structured interview) predicted the outcomes of the first major clinical year (Y4) of a 6 year medical programme. Data from three student cohorts (n = 324) were analysed using regression analyses. The Admission GPA was the best predictor of academic achievement in years 2 and 3 with regression coefficients (B) of 1.31 and 0.9 respectively (each P < 0.001). Furthermore, Admission GPA predicted whether or not a student was likely to earn ‘Distinction’ rather than ‘Pass’ in year 4. In comparison, UMAT and interview showed low predictive ability for any outcomes. Interview scores correlated negatively with those on the other tools. None of the tools predicted failure to complete year 4 on time, but only 3% of students fell into this category. Prior academic achievement remains the best measure of subsequent student achievement within a medical programme. Interview scores have little predictive value. Future directions include longer term studies of what UMAT predicts, and of novel ways to combine selection tools to achieve the optimum student cohort.
Starting Page	615
Ending Page	626
Page Count	12
File Format	PDF
ISSN	13824996
Journal	Advances in Health Sciences Education
Volume Number	17
Issue Number	5
e-ISSN	15731677
Language	English
Publisher	Springer Netherlands
Publisher Date	2011-09-03
Publisher Place	Dordrecht
Access Restriction	One Nation One Subscription (ONOS)
Subject Keyword	Student selection Medical programme UMAT Admission criteria Interviews GPA Medical Education
Content Type	Text
Resource Type	Article
Subject	Education Medicine

Sl.	Authority	Responsibilities	Communication Details
1	Ministry of Education (GoI), Department of Higher Education	Sanctioning Authority	https://www.education.gov.in/ict-initiatives
2	Indian Institute of Technology Kharagpur	Host Institute of the Project: The host institute of the project is responsible for providing infrastructure support and hosting the project	https://www.iitkgp.ac.in
3	National Digital Library of India Office, Indian Institute of Technology Kharagpur	The administrative and infrastructural headquarters of the project	Dr. B. Sutradhar bsutra@ndl.gov.in
4	Project PI / Joint PI	Principal Investigator and Joint Principal Investigators of the project	Dr. B. Sutradhar bsutra@ndl.gov.in Prof. Saswat Chakrabarti will be added soon
5	Website/Portal (Helpdesk)	Queries regarding NDLI and its services	support@ndl.gov.in
6	Contents and Copyright Issues	Queries related to content curation and copyright issues	content@ndl.gov.in
7	National Digital Library of India Club (NDLI Club)	Queries related to NDLI Club formation, support, user awareness program, seminar/symposium, collaboration, social media, promotion, and outreach	clubsupport@ndl.gov.in
8	Digital Preservation Centre (DPC)	Assistance with digitizing and archiving copyright-free printed books	dpc@ndl.gov.in
9	IDR Setup or Support	Queries related to establishment and support of Institutional Digital Repository (IDR) and IDR workshops	idr@ndl.gov.in

Multiple mini-interviews combined with group interviews in medical student selection.

Health sciences and medical college preadmission criteria and prediction of in-course academic performance: a longitudinal cohort study

On the case for an interview in medical student selection.

Academic Performance on First-Year Medical School Exams: How Well Does It Predict Later Performance on Knowledge-Based and Clinical Assessments?

Pre-admission criteria and pre-clinical achievement: Can they predict medical students performance in the clinical phase?

Contribution of medical students to admission interviews.

Pre-admission criteria and pre-clinical achievement: Can they predict medical students performance in the clinical phase?

Selection criteria and pre-clinical academic performance in a private medical college in Nepal: a case study.

Selection and study performance.

How well do selection tools predict performance later in a medical programme?

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Multiple mini-interviews combined with group interviews in medical student selection.

Health sciences and medical college preadmission criteria and prediction of in-course academic performance: a longitudinal cohort study

On the case for an interview in medical student selection.

Academic Performance on First-Year Medical School Exams: How Well Does It Predict Later Performance on Knowledge-Based and Clinical Assessments?

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