Access the full text.
Sign up today, get DeepDyve free for 14 days.
E Siu, HI Reiter (2009)
Overview: what’s worked and what hasn’t as a guide towards predictive admissions tool developmentAdvances in Health Sciences Education : Theory and Practice, 14
E Ferguson, D James, F O’Hehir, A Sanders, IC McManus (2003)
Pilot study of the roles of personality, references, and personal statements in relation to performance over the five years of a medical degreeBMJ, 326
VC Burch (2009)
Medical school admissions: Where to next?Advances in Health Sciences Education: Theory and Practice, 14
P Hughes (2002)
Can we improve on how we select medical students?Journal of the Royal Society of Medicine, 95
W Arthur, DJ Woehr, WG Graziano (2001)
Personality testing in employment settings—Problems and issues in the application of typical selection practicesPersonnel Review, 30
RL Hulsman, JSJ Ende, FJ Oort, RPJ Michels, G Casteelen, FMM Griffioen (2007)
Effectiveness of selection in medical school admissions: Evaluation of the outcomes among freshmenMedical Education, 41
S Razack, M Maguire, B Hodges, Y Steinert (2012)
What might we be saying to potential applicants to medical school? Discourses of excellence, equity, and diversity on the web sites of Canada’s 17 medical schoolsAcademic Medicine, 87
R Bennett (2003)
Determinants of undergraduate student drop out rates in a university business studies departmentJournal of Further and Higher Education, 27
A Koczwara, F Patterson, L Zibarras, M Kerrin, B Irish, M Wilkinson (2012)
Evaluating cognitive ability, knowledge tests and situational judgement tests for postgraduate selectionMedical Education, 46
D Edwards, T Friedman, J Pearce (2013)
Same admissions tools, different outcomes: A critical perspective on predictive validity in three undergraduate medical schoolsBMC Medical Education, 13
TJ Cate, HL Hendrix, KJJ Fockert Koefoed, WJ Rietveld (2002)
Studieresultaten van toegelatenen binnen en buiten de lotingTijdschrift voor Medisch Onderwijs, 21
J Cohen (1988)
Statistical power analysis for the behavioral sciences
KJ Mitchell (1990)
Traditional predictors of performance in medical schoolAcademic Medicine, 65
S Hurwitz, B Kelly, D Powis, R Smyth, T Lewin (2013)
The desirable qualities of future doctors—A study of medical student perceptionsMedical Teacher, 35
KW Eva, J Rosenfeld, HI Reiter, GR Norman (2004)
An admissions OSCE: The multiple mini-interviewMedical Education, 38
C Kulatunga-Moruzi, GR Norman (2002)
Validity of admissions measures in predicting performance outcomes: The contribution of cognitive and non-cognitive dimensionsTeaching and Learning in Medicine, 14
F Lievens (2013)
Adjusting medical school admission: Assessing interpersonal skills using situational judgement testsMedical Education, 47
L O’Neill, J Hartvigsen, B Wallstedt, L Korsholm, B Eika (2011)
Medical school dropout—Testing at admission versus selection by highest grades as predictorsMedical Education, 45
KW Eva, HI Reiter, J Rosenfeld, GR Norman (2004)
The relationship between interviewers’ characteristics and ratings assigned during a multiple mini-interviewAcademic Medicine, 79
AM Spina, TA Smith, RD Marciani, EO Marshall (2000)
A survey of resident selection procedures in oral and maxillofacial surgeryJournal of Oral and Maxillofacial Surgery, 58
WT Basco, CJ Lancaster, GE Gilbert, ME Carey, AV Blue (2008)
Medical school application interview score has limited predictive validity for performance on a fourth year clinical practice examinationAdvances in Health Sciences Education: Theory and Practice, 13
NR Kuncel, RJ Kochevar, DS Ones (2014)
A meta-analysis of letters of recommendation in college and graduate admissions: Reasons for hopeInternational Journal of Selection and Assessment, 22
P Salvatori (2001)
Reliability and validity of admissions tools used to select students for the health professionsAdvances in Health Sciences Education : Theory and Practice, 6
LC Urlings-Strop, KM Stegers-Jager, T Stijnen, APN Themmen (2013)
Academic and non-academic selection criteria in predicting medical school performanceMedical Teacher, 35
O Cate (2007)
Medical education in the NetherlandsMedical Teacher, 29
LC Urlings-Strop, T Stijnen, AP Themmen, TA Splinter (2009)
Selection of medical students: A controlled experimentMedical Education, 43
KW Eva, HI Reiter, K Trinh, P Wasi, J Rosenfeld, GR Norman (2009)
Predictive validity of the multiple mini-interview for selecting medical traineesMedical Education, 43
F Patterson, F Lievens, M Kerrin, L Zibarras, B Carette (2012)
Designing selection systems for medicine: The importance of balancing predictive and political validity in high-stakes selection contextsInternational Journal of Selection and Assessment, 20
KL Dore, S Kreuger, M Ladhani, D Rolfson, D Kurtz, K Kulasegaram (2010)
The reliability and acceptability of the multiple mini-interview as a selection instrument for postgraduate admissionsAcademic Medicine, 85
LC Urlings-Strop, AP Themmen, T Stijnen, TA Splinter (2011)
Selected medical students achieve better than lottery-admitted students during clerkshipsMedical Education, 45
P Ranasinghe, A Ellawela, SB Gunatilake (2012)
Non-cognitive characteristics predicting academic success among medical students in Sri LankaBMC Medical Education, 12
D Lakens (2013)
Calculating and reporting effect sizes to facilitate cumulative science: A practical primer for t-tests and ANOVAsFrontiers in Psychology, 4
GE Miller (1990)
The assessment of clinical skills/competence/performanceAcademic Medicine, 65
E Ferguson, D James, L Madeley (2002)
Factors associated with success in medical school: Systematic review of the literatureBMJ, 324
M Albanese, M Snow, S Skochelak, K Huggett, P Farrell (2003)
Assessing personal qualities in medical school admissionsAcademic Medicine, 78
DM Dunleavy, MH Kroopnick, KW Dowd, CA Searcy, X Zhao (2013)
The predictive validity of the MCAT exam in relation to academic performance through medical school: A lof 2001–2004 matriculantsAcademic Medicine, 88
D Prideaux, C Roberts, K Eva, A Centeno, P McCrorie, C McManus (2011)
Assessment for selection for the health care professions and specialty training: Consensus statement and recommendations from the Ottawa 2010 conferenceMedical Teacher, 33
FK Stage (1989)
Motivation, academic and social integration, and the early dropoutAmerican Educational Research Journal, 26
Medical schools all over the world select applicants using non-cognitive and cognitive criteria. The predictive value of these different types of selection criteria has however never been investigated within the same curriculum while using a control group. We therefore set up a study that enabled us to compare the academic performance of three different admission groups, all composed of school-leaver entry students, and all enrolled in the same Bachelor curriculum: students selected on non-cognitive criteria, students selected on cognitive criteria and students admitted by lottery. First-year GPA and number of course credits (ECTS) at 52 weeks after enrollment of non-cognitive selected students (N = 102), cognitive selected students (N = 92) and lottery-admitted students (N = 356) were analyzed. In addition, chances of dropping out, probability of passing the third-year OSCE, and completing the Bachelor program in 3 years were compared. Although there were no significant differences between the admission groups in first-year GPA, cognitive selected students had obtained significantly more ECTS at 52 weeks and dropped out less often than lottery-admitted students. Probabilities of passing the OSCE and completing the bachelor program in 3 years did not significantly differ between the groups. These findings indicate that the use of only non-cognitive selection criteria is not sufficient to select the best academically performing students, most probably because a minimal cognitive basis is needed to succeed in medical school.
Advances in Health Sciences Education – Springer Journals
Published: May 3, 2015
Read and print from thousands of top scholarly journals.
Already have an account? Log in
Bookmark this article. You can see your Bookmarks on your DeepDyve Library.
To save an article, log in first, or sign up for a DeepDyve account if you don’t already have one.
Copy and paste the desired citation format or use the link below to download a file formatted for EndNote
Access the full text.
Sign up today, get DeepDyve free for 14 days.
All DeepDyve websites use cookies to improve your online experience. They were placed on your computer when you launched this website. You can change your cookie settings through your browser.