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Graduate Entry Medicine: Selection Criteria and Student Performance

Author

Listed:
  • Owen Bodger
  • Aidan Byrne
  • Philip A Evans
  • Sarah Rees
  • Gwen Jones
  • Claire Cowell
  • Mike B Gravenor
  • Rhys Williams

Abstract

Background: Graduate entry medicine raises new questions about the suitability of students with different backgrounds. We examine this, and the broader issue of effectiveness of selection and assessment procedures. Methods: The data included background characteristics, academic record, interview score and performance in pre-clinical modular assessment for two years intake of graduate entry medical students. Exploratory factor analysis is a powerful method for reducing a large number of measures to a smaller group of underlying factors. It was used here to identify patterns within and between the selection and performance data. Principal Findings: Basic background characteristics were of little importance in predicting exam success. However, easily interpreted components were detected within variables comprising the ‘selection’ and ‘assessment’ criteria. Three selection components were identified (‘Academic’, ‘GAMSAT’, ‘Interview’) and four assessment components (‘General Exam’, ‘Oncology’, ‘OSCE’, ‘Family Case Study’). There was a striking lack of relationships between most selection and performance factors. Only ‘General Exam’ and ‘Academic’ showed a correlation (Pearson's r = 0.55, p

Suggested Citation

  • Owen Bodger & Aidan Byrne & Philip A Evans & Sarah Rees & Gwen Jones & Claire Cowell & Mike B Gravenor & Rhys Williams, 2011. "Graduate Entry Medicine: Selection Criteria and Student Performance," PLOS ONE, Public Library of Science, vol. 6(11), pages 1-10, November.
    • Handle: RePEc:plo:pone00:0027161
    DOI: 10.1371/journal.pone.0027161
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    Cited by:

    1. Sonu Goel & Federica Angeli & Neetu Singla & Dirk Ruwaard, 2016. "Development and Validation of the Motivations for Selection of Medical Study (MSMS) Questionnaire in India," PLOS ONE, Public Library of Science, vol. 11(12), pages 1-13, December.
    2. Maysoun Al Rushood & Amal Al-Eisa, 2020. "Factors predicting students’ performance in the final pediatrics OSCE," PLOS ONE, Public Library of Science, vol. 15(9), pages 1-9, September.

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