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Related Experiment Videos

Medical school performance of initially rejected students.

R A DeVaul, F Jervey, J A Chappell

    JAMA
    |January 2, 1987
    PubMed
    Summary
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    Medical school admissions interviews may not predict student success. A study found no significant performance differences between initially accepted and rejected applicants, suggesting interviews may not improve applicant selection for medical education.

    Area of Science:

    • Medical Education
    • Admissions Processes
    • Student Performance Evaluation

    Background:

    • The traditional medical school admissions process often includes interviews.
    • Interviews are presumed to aid in selecting successful candidates.
    • The predictive validity of interviews in medical school admissions remains debated.

    Purpose of the Study:

    • To evaluate the effectiveness of the traditional interview process in predicting medical student performance.
    • To compare the academic and postgraduate performance of initially accepted versus initially rejected medical school applicants.

    Main Methods:

    • A cohort of 50 students initially rejected by the Admissions Committee was compared with 150 initially accepted students.
    • Performance was tracked through medical school and one year of postgraduate training.

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  • Academic and demographic variables were analyzed to explain group differences.

    • Main Results:

    • Academic and demographic variables explained only 28% of the difference between accepted and rejected groups.
    • The remaining 72% of group difference was attributed to Admissions Committee preference.
    • No meaningful differences in attrition, preclinical, or clinical performance were observed between the groups.

    Conclusions:

    • The traditional interview process may not significantly enhance the prediction of medical school applicant performance.
    • Admissions committee preferences, beyond quantifiable variables, play a substantial role in selection.
    • Further research may be needed to identify more effective predictors of success in medical training.