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The effect of curriculum sample selection for medical school
- Source :
- Advances in Health Sciences Education, 22, 1, pp. 43-56, Advances in Health Sciences Education, 22(1), 43-56. SPRINGER, Advances in Health Sciences Education, Advances in Health Sciences Education, 22, 43-56
- Publication Year :
- 2016
- Publisher :
- Springer Science and Business Media LLC, 2016.
-
Abstract
- In the Netherlands, students are admitted to medical school through (1) selection, (2) direct access by high pre-university Grade Point Average (pu-GPA), (3) lottery after being rejected in the selection procedure, or (4) lottery. At Radboud University Medical Center, 2010 was the first year we selected applicants. We designed a procedure based on tasks mimicking the reality of early medical school. Applicants took an online course followed by an on-site exam, resembling courses and exams in early medical school. Based on the exam scores, applicants were selected or rejected. The aim of our study is to determine whether curriculum sample selection explains performance in medical school and is preferable compared to selection based on performance in secondary school. We gathered data on the performance of students of three consecutive cohorts (2010-2012, N = 954). We compared medical school performance (course credits and grade points) of selected students to the three groups admitted in other ways, especially lottery admissions. In regression analyses, we controlled for out of context cognitive performance by adjusting for pu-GPA. Selection-admitted students outperformed lottery-admitted students on most outcome measures, unadjusted as well as adjusted for pu-GPA (p aecurrency 0.05). They had higher grade points than non-selected lottery students, both unadjusted and adjusted for pu-GPA (p aecurrency 0.025). Adjusted for pu-GPA, selection-admitted students and high-pu-GPA students performed equally. We recommend this selection procedure as it adds to secondary school cognitive performance for the general population of students, is efficient for large numbers of applicants and not labour-intensive.
- Subjects :
- Male
Predictive validity
Educational measurement
Adolescent
020205 medical informatics
education
Population
Context (language use)
02 engineering and technology
Undergraduate medical education
Academic performance
PREDICTIVE-VALIDITY
Article
Education
Young Adult
03 medical and health sciences
Lottery
All institutes and research themes of the Radboud University Medical Center
0302 clinical medicine
0202 electrical engineering, electronic engineering, information engineering
Mathematics education
Humans
Medicine
School Admission Criteria
030212 general & internal medicine
Selection
Curriculum
Schools, Medical
Selection (genetic algorithm)
Netherlands
Medicine(all)
education.field_of_study
Medical education
business.industry
4. Education
SUCCESS
Regression analysis
General Medicine
PERFORMANCE
Educational Status
Female
Educational Measurement
business
Subjects
Details
- ISSN :
- 15731677 and 13824996
- Volume :
- 22
- Database :
- OpenAIRE
- Journal :
- Advances in Health Sciences Education
- Accession number :
- edsair.doi.dedup.....8adb472fe267c989b0cce1b4b00d4239
- Full Text :
- https://doi.org/10.1007/s10459-016-9681-x