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Related Experiment Videos

Illustrated multiple choice examinations

D R Hunt

    Medical Education
    |November 1, 1978
    PubMed
    Summary
    This summary is machine-generated.

    Using actual visual data in medical exams increases difficulty but doesn't consistently improve question discrimination. Students found the illustrated format clinically relevant, though image reproduction issues were noted.

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    Area of Science:

    • Medical Education
    • Clinical Competence Assessment
    • Diagnostic Imaging Interpretation

    Background:

    • Visual data interpretation is crucial for clinical competence.
    • Illustrated multiple-choice items are used for assessment, but their impact is under-evaluated.
    • Previous studies lack critical assessment of visual aids in multiple-choice questions.

    Purpose of the Study:

    • To assess the effect of using actual visual data versus written descriptions in multiple-choice questions.
    • To compare the difficulty and discrimination of illustrated items versus text-based items.
    • To gather student feedback on the clinical relevance of illustrated medical assessment items.

    Main Methods:

    • Developed parallel examinations using problem-sequenced multiple-choice items.

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  • One set used written descriptions of visual data; the other used reproductions of the original data.
  • Administered examinations to final-year medical students and compared performance.

    • Main Results:

    • Substituting actual visual data for written descriptions significantly increased item difficulty.
    • The change to visual data had no consistent effect on item discrimination.
    • Students positively commented on the clinical relevance of the illustrated format.

    Conclusions:

    • Illustrated multiple-choice items enhance clinical relevance in medical education assessments.
    • While increasing difficulty, visual data integration requires careful consideration of image quality and data selection.
    • Further research is needed to optimize the use of visual data in medical assessments.