Title |
The ability of ‘non-cognitive’ traits to predict undergraduate performance in medical schools: a national linkage study
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Published in |
BMC Medical Education, May 2018
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DOI | 10.1186/s12909-018-1201-7 |
Pubmed ID | |
Authors |
Gabrielle M. Finn, Lazaro Mwandigha, Lewis W. Paton, Paul A. Tiffin |
Abstract |
In addition to the evaluation of educational attainment and intellectual ability there has been interest in the potential to select medical school applicants on non-academic qualities. Consequently, a battery of self-report measures concerned with assessing 'non-cognitive' traits was piloted as part of the UK Clinical Aptitude Test (UKCAT) administration to evaluate their potential to be used in selection. The four non-cognitive instruments piloted were: 1) the Libertarian-communitarian scale, (2) The NACE (narcissism, aloofness, confidence and empathy, (3) the MEARS (Managing emotions and resilience scale; self-esteem, optimism, control, self-discipline, emotional-nondefensiveness and faking, and (4) an abridged version of instruments (1) and (2) combined. Non-cognitive scores and sociodemographic characteristics were available for 14,387 applicants. A series of univariable and multivariable analyses were conducted in order to assess the ability of the non-cognitive scores to predict knowledge and skills-based performance, as well as the odds of passing each academic year at first attempt. Non-cognitive scores and medical performance were standardised within cohorts. The scores on the non-cognitive scales showed only very small (magnitude of standardised betas< 0.2), though sometimes statistically significant (p < 0.01) univariable associations with subsequent performance on knowledge or skills-based assessments. The only statistically significant association between the non-cognitive scores and the probability of passing an academic year at first attempt was the narcissism score from one the abridged tests (OR 0.84,95% confidence intervals 0.71 to 0.97, p = 0.02). Our findings are consistent with previously published research. The tests had a very limited ability to predict undergraduate academic performance, though further research on identifying narcissism in medical students may be warranted. However, the validity of such self-report tools in high-stakes settings may be affected, making such instruments unlikely to add value within the selection process. |
Twitter Demographics
Geographical breakdown
Country | Count | As % |
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United Kingdom | 2 | 100% |
Demographic breakdown
Type | Count | As % |
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Practitioners (doctors, other healthcare professionals) | 1 | 50% |
Members of the public | 1 | 50% |
Mendeley readers
Geographical breakdown
Country | Count | As % |
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Unknown | 77 | 100% |
Demographic breakdown
Readers by professional status | Count | As % |
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Student > Master | 14 | 18% |
Researcher | 9 | 12% |
Student > Bachelor | 6 | 8% |
Student > Postgraduate | 4 | 5% |
Student > Ph. D. Student | 4 | 5% |
Other | 14 | 18% |
Unknown | 26 | 34% |
Readers by discipline | Count | As % |
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Medicine and Dentistry | 13 | 17% |
Psychology | 12 | 16% |
Social Sciences | 4 | 5% |
Mathematics | 3 | 4% |
Nursing and Health Professions | 2 | 3% |
Other | 10 | 13% |
Unknown | 33 | 43% |