Literature DB >> 27704290

Do personality traits assessed on medical school admission predict exit performance? A UK-wide longitudinal cohort study.

R K MacKenzie1, J Dowell2, D Ayansina3, J A Cleland4.   

Abstract

Traditional methods of assessing personality traits in medical school selection have been heavily criticised. To address this at the point of selection, "non-cognitive" tests were included in the UK Clinical Aptitude Test, the most widely-used aptitude test in UK medical education (UKCAT: http://www.ukcat.ac.uk/ ). We examined the predictive validity of these non-cognitive traits with performance during and on exit from medical school. We sampled all students graduating in 2013 from the 30 UKCAT consortium medical schools. Analysis included: candidate demographics, UKCAT non-cognitive scores, medical school performance data-the Educational Performance Measure (EPM) and national exit situational judgement test (SJT) outcomes. We examined the relationships between these variables and SJT and EPM scores. Multilevel modelling was used to assess the relationships adjusting for confounders. The 3343 students who had taken the UKCAT non-cognitive tests and had both EPM and SJT data were entered into the analysis. There were four types of non-cognitive test: (1) libertariancommunitarian, (2) NACE-narcissism, aloofness, confidence and empathy, (3) MEARS-self-esteem, optimism, control, self-discipline, emotional-nondefensiveness (END) and faking, (4) an abridged version of 1 and 2 combined. Multilevel regression showed that, after correcting for demographic factors, END predicted SJT and EPM decile. Aloofness and empathy in NACE were predictive of SJT score. This is the first large-scale study examining the relationship between performance on non-cognitive selection tests and medical school exit assessments. The predictive validity of these tests was limited, and the relationships revealed do not fit neatly with theoretical expectations. This study does not support their use in selection.

Entities:  

Keywords:  Medical school admissions; Medical school selection; Non-cognitive testing; Psychometric testing; Situational judgement tests; United Kingdom clinical aptitude test (UKCAT)

Mesh:

Year:  2016        PMID: 27704290     DOI: 10.1007/s10459-016-9715-4

Source DB:  PubMed          Journal:  Adv Health Sci Educ Theory Pract        ISSN: 1382-4996            Impact factor:   3.853


  11 in total

1.  The UK medical education database (UKMED) what is it? Why and how might you use it?

Authors:  Jon Dowell; Jennifer Cleland; Siobhan Fitzpatrick; Chris McManus; Sandra Nicholson; Thomas Oppé; Katie Petty-Saphon; Olga Sierocinska King; Daniel Smith; Steve Thornton; Kirsty White
Journal:  BMC Med Educ       Date:  2018-01-05       Impact factor: 2.463

2.  Are efforts to attract graduate applicants to UK medical schools effective in increasing the participation of under-represented socioeconomic groups? A national cohort study.

Authors:  Ben Kumwenda; Jennifer Cleland; Rachel Greatrix; Rhoda Katharine MacKenzie; Gordon Prescott
Journal:  BMJ Open       Date:  2018-02-14       Impact factor: 2.692

3.  Does the UKCAT predict performance on exit from medical school? A national cohort study.

Authors:  R K MacKenzie; J A Cleland; D Ayansina; S Nicholson
Journal:  BMJ Open       Date:  2016-10-07       Impact factor: 2.692

4.  Predictors of fitness to practise declarations in UK medical undergraduates.

Authors:  Lewis W Paton; Paul A Tiffin; Daniel Smith; Jon S Dowell; Lazaro M Mwandigha
Journal:  BMC Med Educ       Date:  2018-04-05       Impact factor: 2.463

5.  Emotion recognition and extraversion of medical students interact to predict their empathic communication perceived by simulated patients.

Authors:  Teresa Schreckenbach; Falk Ochsendorf; Jasmina Sterz; Miriam Rüsseler; Wolf Otto Bechstein; Bernd Bender; Myriam N Bechtoldt
Journal:  BMC Med Educ       Date:  2018-10-11       Impact factor: 2.463

6.  Guidelines: The dos, don'ts and don't knows of remediation in medical education.

Authors:  Calvin L Chou; Adina Kalet; Manuel Joao Costa; Jennifer Cleland; Kalman Winston
Journal:  Perspect Med Educ       Date:  2019-12

7.  The ability of 'non-cognitive' traits to predict undergraduate performance in medical schools: a national linkage study.

Authors:  Gabrielle M Finn; Lazaro Mwandigha; Lewis W Paton; Paul A Tiffin
Journal:  BMC Med Educ       Date:  2018-05-03       Impact factor: 2.463

8.  Do changing medical admissions practices in the UK impact on who is admitted? An interrupted time series analysis.

Authors:  Shona Fielding; Paul Alexander Tiffin; Rachel Greatrix; Amanda J Lee; Fiona Patterson; Sandra Nicholson; Jennifer Cleland
Journal:  BMJ Open       Date:  2018-10-08       Impact factor: 2.692

9.  Selection into medicine: the predictive validity of an outcome-based procedure.

Authors:  Sanne Schreurs; Kitty B Cleutjens; Arno M M Muijtjens; Jennifer Cleland; Mirjam G A Oude Egbrink
Journal:  BMC Med Educ       Date:  2018-09-17       Impact factor: 2.463

10.  Effect of sex on specialty training application outcomes: a longitudinal administrative data study of UK medical graduates.

Authors:  Katherine Woolf; Hirosha Jayaweera; Emily Unwin; Karim Keshwani; Christopher Valerio; Henry Potts
Journal:  BMJ Open       Date:  2019-03-05       Impact factor: 2.692

View more

北京卡尤迪生物科技股份有限公司 © 2022-2023.