Literature DB >> 25413913

Selection and study performance: comparing three admission processes within one medical school.

Nienke R Schripsema1, Anke M van Trigt, Jan C C Borleffs, Janke Cohen-Schotanus.   

Abstract

OBJECTIVES: This study was conducted to: (i) analyse whether students admitted to one medical school based on top pre-university grades, a voluntary multifaceted selection process, or lottery, respectively, differed in study performance; (ii) examine whether students who were accepted in the multifaceted selection process outperformed their rejected peers, and (iii) analyse whether participation in the multifaceted selection procedure was related to performance.
METHODS: We examined knowledge test and professionalism scores, study progress and dropout in three cohorts of medical students admitted to the University of Groningen, the Netherlands in 2009, 2010 and 2011 (n = 1055). We divided the lottery-admitted group into, respectively, students who had not participated and students who had been rejected in the multifaceted selection process. We used ancova modelling, logistic regression and Bonferroni post hoc multiple-comparison tests and controlled for gender and cohort.
RESULTS: The top pre-university grade group achieved higher knowledge test scores and more Year 1 course credits than all other groups (p < 0.05). This group received the highest possible professionalism score more often than the lottery-admitted group that had not participated in the multifaceted selection process (p < 0.05). The group of students accepted in the multifaceted selection process obtained higher written test scores than the lottery-admitted group that had not participated (p < 0.05) and achieved the highest possible professionalism score more often than both lottery-admitted groups. The lottery-admitted group that had not participated in the multifaceted selection process earned fewer Year 1 and 2 course credits than all other groups (p < 0.05). Dropout rates differed among the groups (p < 0.05), but correction for multiple comparisons rendered all pairwise differences non-significant.
CONCLUSIONS: A top pre-university grade point average was the best predictor of performance. For so-called non-academic performance, the multifaceted selection process was efficient in identifying applicants with suitable skills. Participation in the multifaceted selection procedure seems to be predictive of higher performance. Further research is needed to assess whether our results are generalisable to other medical schools.
© 2014 John Wiley & Sons Ltd.

Mesh:

Year:  2014        PMID: 25413913     DOI: 10.1111/medu.12537

Source DB:  PubMed          Journal:  Med Educ        ISSN: 0308-0110            Impact factor:   6.251


  16 in total

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2.  A trial studying approach to predict college achievement.

Authors:  Rob R Meijer; A Susan M Niessen
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3.  The effect of curriculum sample selection for medical school.

Authors:  Marieke de Visser; Cornelia Fluit; Jaap Fransen; Mieke Latijnhouwers; Janke Cohen-Schotanus; Roland Laan
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4.  The effects of a non-cognitive versus cognitive admission procedure within cohorts in one medical school.

Authors:  Marieke de Visser; Cornelia Fluit; Janke Cohen-Schotanus; Roland Laan
Journal:  Adv Health Sci Educ Theory Pract       Date:  2017-06-10       Impact factor: 3.853

5.  Admission testing for higher education: A multi-cohort study on the validity of high-fidelity curriculum-sampling tests.

Authors:  A Susan M Niessen; Rob R Meijer; Jorge N Tendeiro
Journal:  PLoS One       Date:  2018-06-11       Impact factor: 3.240

6.  Is perfect good? - Dimensions of perfectionism in newly admitted medical students.

Authors:  Helen Seeliger; Sigrid Harendza
Journal:  BMC Med Educ       Date:  2017-11-13       Impact factor: 2.463

7.  Predicting Performance in Higher Education Using Proximal Predictors.

Authors:  A Susan M Niessen; Rob R Meijer; Jorge N Tendeiro
Journal:  PLoS One       Date:  2016-04-13       Impact factor: 3.240

8.  How Different Medical School Selection Processes Call upon Different Personality Characteristics.

Authors:  Nienke R Schripsema; Anke M van Trigt; Martha A van der Wal; Janke Cohen-Schotanus
Journal:  PLoS One       Date:  2016-03-09       Impact factor: 3.240

9.  Motivation of medical students: selection by motivation or motivation by selection.

Authors:  Anouk Wouters; Gerda Croiset; Francisca Galindo-Garre; Rashmi A Kusurkar
Journal:  BMC Med Educ       Date:  2016-01-29       Impact factor: 2.463

10.  Lessons learned from 15 years of non-grades-based selection for medical school.

Authors:  Karen M Stegers-Jager
Journal:  Med Educ       Date:  2017-10-06       Impact factor: 6.251

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