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Opening the Black Box of Selection
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Schreurs, Sanne; Cleutjens, Kitty; Collares, Carlos F.; Cleland, Jennifer; oude Egbrink, Mirjam G. A. – Advances in Health Sciences Education, 2020
Medical school selection is currently in the paradoxical situation in which selection tools may predict study outcomes, but which constructs are actually doing the predicting is unknown (the 'black box of selection'). Therefore, our research focused on those constructs, answering the question: do the internal structures of the tests in an…
Descriptors: Medical Schools, Selection Criteria, College Admission, Prediction
Impact of Holistic Review on Student Interview Pool Diversity
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Grabowski, Christina J. – Advances in Health Sciences Education, 2018
Diversity in the physician workforce lags behind the rapidly changing US population. Since the gateway to becoming a physician is medical school, diversity must be addressed in the admissions process. The Association of American Medical Colleges has implemented a Holistic Review Initiative aimed at assisting medical schools with broadening…
Descriptors: Physicians, Disproportionate Representation, Medical Schools, Student Diversity
On the Validity of Repeated Assessments in the UMAT, a High-Stakes Admissions Test
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Andrich, David; Styles, Irene; Mercer, Annette; Puddey, Ian B. – Advances in Health Sciences Education, 2017
The possibility that the validity of assessment is compromised by repeated sittings of highly competitive and high profile selection tests has been documented and is of concern to stake-holders. An illustrative example is the Undergraduate Medicine and Health Sciences Admission Test (UMAT) used by some medical and dental courses in Australia and…
Descriptors: High Stakes Tests, College Entrance Examinations, Undergraduate Study, Selection Criteria
The Effects of a Non-Cognitive versus Cognitive Admission Procedure within Cohorts in One Medical School
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de Visser, Marieke; Fluit, Cornelia; Cohen-Schotanus, Janke; Laan, Roland – Advances in Health Sciences Education, 2018
In medical school selection, non-cognitive performance in particular correlates with performance in clinical practice. It is arguable, therefore, that selection should focus on non-cognitive aspects despite the predictive value of prior cognitive performance for early medical school performance. The aim of this study at Radboud University Medical…
Descriptors: Medical Schools, Admission Criteria, College Admission, Clinical Experience
An Equivalence Study of Interview Platform: Does Videoconference Technology Impact Medical School Acceptance Rates of Different Groups?
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Ballejos, Marlene P.; Oglesbee, Scott; Hettema, Jennifer; Sapien, Robert – Advances in Health Sciences Education, 2018
Web-based interviewing may be an effective element of a medical school's larger approach to promotion of holistic review, as recommended by the Association of American Medical Colleges, by facilitating the feasibility of including rural and community physicians in the interview process. Only 10% of medical schools offer videoconference interviews…
Descriptors: Interviews, Medical Schools, College Admission, Regression (Statistics)
Rising to the Challenge: Acute Stress Appraisals and Selection Centre Performance in Applicants to Postgraduate Specialty Training in Anaesthesia
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Roberts, Martin J.; Gale, Thomas C. E.; McGrath, John S.; Wilson, Mark R. – Advances in Health Sciences Education, 2016
The ability to work under pressure is a vital non-technical skill for doctors working in acute medical specialties. Individuals who evaluate potentially stressful situations as challenging rather than threatening may perform better under pressure and be more resilient to stress and burnout. Training programme recruitment processes provide an…
Descriptors: Stress Variables, Prediction, Cognitive Processes, Scores
How Well Do Selection Tools Predict Performance Later in a Medical Programme?
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Shulruf, Boaz; Poole, Phillippa; Wang, Grace Ying; Rudland, Joy; Wilkinson, Tim – Advances in Health Sciences Education, 2012
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…
Descriptors: Medical Students, Medical Schools, Clinical Teaching (Health Professions), Structured Interviews