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The Innovation Arena: A Method for Comparing Innovative Problem-Solving Across Groups
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Multiple mini-interviews: same concept, different approaches.

Mirjana Knorr1, Johanna Hissbach

  • 1University Medical Centre Hamburg-Eppendorf, Hamburg, Germany.

Medical Education
|November 22, 2014
PubMed
Summary
This summary is machine-generated.

The multiple mini-interview (MMI) format offers reliable and cost-effective medical school admissions. Optimizing MMI design requires careful consideration of station number, rater training, and cost factors for improved validity.

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Area of Science:

  • Medical Education
  • Admissions Assessment

Background:

  • Medical schools increasingly adopt the multiple mini-interview (MMI) format over traditional interviews due to its higher reliability and reduced interviewer bias.
  • The adaptability of the MMI format to institutional needs raises questions about optimal implementation circumstances.

Purpose of the Study:

  • To systematically review the literature on MMI design.
  • To identify factors influencing the reliability, validity, and cost-efficiency of the MMI format.

Main Methods:

  • A systematic literature search was conducted across three electronic databases (OVID, PubMed, Web of Science).
  • Sixty-six publications discussing MMIs and related approaches were included in the analysis.

Main Results:

  • Increasing the number of MMI stations significantly improves reliability more than increasing raters per station.
  • Excluding overly easy stations, using normative anchored rating scales, and implementing skills-based rater training positively influence reliability.
  • Criterion-related validity data show a small to zero correlation with academic measures, except for the McMaster University MMI, which predicts in-program and licensing exam performance.
  • Cost analysis highlights station development and actor payments as significant expenses compared to conventional interviews.

Conclusions:

  • The MMI literature offers guidance for reliable and cost-efficient designs.
  • Further research is needed on MMI dimensionality, construct validity, predictive validity beyond McMaster University, station type comparisons, and cost-effective station development.