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The scenario content, not specific question details, significantly impacts medical school Multiple Mini Interview (MMI) scores. Understanding this variance is crucial for improving MMI psychometric properties.

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Area of Science:

  • Medical Education Research
  • Psychometrics
  • Admissions Assessment

Background:

  • Existing research on Multiple Mini Interview (MMI) scores often overlooks the specific influence of station scenarios.
  • MMI stations are a critical component of medical school admissions, assessing applicant suitability.

Purpose of the Study:

  • To investigate the variance components in MMI scores, specifically focusing on the influence of station scenarios versus item attributes.
  • To apply Generalizability (G) theory to dissect score variability in MMI assessments.

Main Methods:

  • Utilized a subset of MMI scores from a US medical school admissions dataset.
  • Applied Generalizability (G) theory to estimate variance attributable to applicants, scenarios, and items.

Main Results:

  • The scenario facet and applicant-scenario interaction accounted for 77% of the total variance in MMI scores.
  • The item facet and scenario-item interaction contributed minimally to the total variance (0.6% and 1.4%, respectively).

Conclusions:

  • Scenario content is the primary driver of score variance in MMIs, rather than specific item attributes.
  • Findings underscore the importance of rigorously evaluating the psychometric properties of MMI scenarios to ensure fair and reliable assessments.