Do Personality Traits Assessed on Medical School Admission Predict Exit Performance? A UK-Wide Longitudinal Cohort Study

Autor/inn/en	MacKenzie, R. K.; Dowell, J.; Ayansina, D.; Cleland, J. A.
Titel	Do Personality Traits Assessed on Medical School Admission Predict Exit Performance? A UK-Wide Longitudinal Cohort Study
Quelle	In: Advances in Health Sciences Education, 22 (2017) 2, S.365-385 (21 Seiten)Infoseite zur Zeitschrift PDF als Volltext Verfügbarkeit
Sprache	englisch
Dokumenttyp	gedruckt; online; Zeitschriftenaufsatz
ISSN	1382-4996
DOI	10.1007/s10459-016-9715-4
Schlagwörter	Foreign Countries; Personality Traits; Medical Schools; Longitudinal Studies; Selective Admission; College Admission; Predictive Validity; Student Characteristics; Scores; Regression (Statistics); Surveys; Aptitude Tests; Student Records; Correlation; College Entrance Examinations; Medical Students; Questionnaires; Value Judgment; Interpersonal Relationship; Statistical Analysis; United Kingdom + Suchen Sie Ihr Suchwort? Ausland; Individual characteristics; Personality characteristic; Persönlichkeitsmerkmal; Medizinische Ausbildung; Longitudinal study; Longitudinal method; Longitudinal methods; Längsschnittuntersuchung; Bildungsselektion; Hochschulzugang; Hochschulzulassung; Zulassung; Regression; Regressionsanalyse; Survey; Umfrage; Befragung; Aptitude test; Eignungsprüfung; Eignungstest; Schülerakte; Korrelation; Aufnahmeprüfung; Fragebogen; Werturteil; Interpersonal relation; Interpersonal relations; Interpersonelle Beziehung; Zwischenmenschliche Beziehung; Statistische Analyse; Großbritannien
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) libertarian-communitarian, (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. (As Provided).
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Erfasst von	ERIC (Education Resources Information Center), Washington, DC
Update	2020/1/01