Literature DB >> 21470083

Predictive validity of the Undergraduate Medicine and Health Sciences Admission Test for medical students' academic performance.

David Wilkinson1, Jianzhen Zhang, Malcolm Parker.   

Abstract

OBJECTIVE: To determine the predictive validity of the Undergraduate Medicine and Health Sciences Admission Test (UMAT) for academic performance at university. DESIGN, SETTING AND PARTICIPANTS: We studied all 339 students who entered medical study at the School of Medicine, University of Queensland, directly from high school, between 2005 and 2009. MAIN OUTCOME MEASURES: UMAT scores before entry compared with grade point averages (GPAs) during university study.
RESULTS: Mean overall UMAT score at entry was 60/100 and mean GPA during university study was 6.1 (range, 1-7), with a correlation coefficient of 0.15 (P = 0.005). This relationship existed only in the first year of university study. For UMAT Section 1 score, the correlation coefficient was 0.14 (P = 0.01); for UMAT Section 2, the correlation coefficient was 0.06 (P = 0.29); and for UMAT Section 3, the correlation coefficient was 0.09 (P = 0.11). UMAT overall score for men (60.2) and women (59.8), and GPA for men (6.1) and women (6.2) were similar. However, men performed better in Section 1 (mean score 61.6 v 61; P = 0.05) and Section 3 (63.2 v 60.7; P < 0.001), whereas women performed better in Section 2 (58.5 v 55.8; P = 0.009). In multivariate analysis, only correlation between GPA and UMAT Section 1 score remained significant but was weak and lasted for 1 year of university study.
CONCLUSIONS: Our findings suggest that UMAT has limited predictive validity for academic performance. ©The Medical Journal of Australia 2011

Entities:  

Mesh:

Year:  2011        PMID: 21470083     DOI: 10.5694/j.1326-5377.2011.tb03002.x

Source DB:  PubMed          Journal:  Med J Aust        ISSN: 0025-729X            Impact factor:   7.738


  12 in total

1.  Prediction of Admission Tests for Medical Students' Academic Performance.

Authors:  Abdulaziz Althewini; Noof Al Baz
Journal:  Adv Med Educ Pract       Date:  2022-10-14

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.  Predictive validity of pre-admission assessments on medical student performance.

Authors:  Al-Awwab Dabaliz; Samy Kaadan; M Marwan Dabbagh; Abdulaziz Barakat; Mohammad Abrar Shareef; Mohamad Al-Tannir; Akef Obeidat; Ayman Mohamed
Journal:  Int J Med Educ       Date:  2017-11-24

4.  Predictive validity of a Uniform Entrance Test for the health professionals.

Authors:  Rahila Ali; Syeda Kauser Ali; Azam Afzal
Journal:  Pak J Med Sci       Date:  2019 Mar-Apr       Impact factor: 1.088

5.  The UK Clinical Aptitude Test and clinical course performance at Nottingham: a prospective cohort study.

Authors:  Janet Yates; David James
Journal:  BMC Med Educ       Date:  2013-02-26       Impact factor: 2.463

6.  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

7.  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

8.  The impact of preparatory activities on medical school selection outcomes: a cross-sectional survey of applicants to the University of Adelaide Medical School in 2007.

Authors:  Caroline O Laurence; Ian T Zajac; Michelle Lorimer; Deborah A Turnbull; Karen E Sumner
Journal:  BMC Med Educ       Date:  2013-12-01       Impact factor: 2.463

9.  Selection into medical school: from tools to domains.

Authors:  Tom M Wilkinson; Tim J Wilkinson
Journal:  BMC Med Educ       Date:  2016-10-03       Impact factor: 2.463

10.  Selecting top candidates for medical school selection interviews- a non-compensatory approach.

Authors:  Boaz Shulruf; Anthony O'Sullivan; Gary Velan
Journal:  BMC Med Educ       Date:  2020-04-15       Impact factor: 2.463

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.