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Related Experiment Videos

Detecting score drift in a high-stakes performance-based assessment.

Danette W McKinley1, John R Boulet

  • 1Research and Evaluation, Educational Commission for Foreign Medical Graduates, 3624 Market Street, 4th Floor, Philadelphia, PA 19104, USA. dmckinley@ecfmg.org

Advances in Health Sciences Education : Theory and Practice
|January 24, 2004
PubMed
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Detecting score drift in standardized patient examinations (SPE) is crucial for maintaining assessment fairness. This study explored methods to identify changes in case difficulty over time, ensuring score comparability in high-stakes evaluations.

Area of Science:

  • Medical Education
  • Psychometrics
  • Assessment Science

Background:

  • Standardized patient examinations (SPE) are vital for performance-based assessments in healthcare education.
  • Ensuring score comparability across different test forms and over time is a significant psychometric challenge.
  • Limited research exists on detecting case difficulty drift in large-scale SPE.

Purpose of the Study:

  • To investigate a procedure for detecting drift in difficulty estimates for a large-scale, high-stakes SPE.
  • To address the challenge of maintaining score comparability in performance-based assessments.

Main Methods:

  • Utilized a procedure to monitor case difficulty estimates over time.
  • Analyzed mean score variations for specific performance tasks within the SPE.

Related Experiment Videos

  • Focused on a large-scale, high-stakes standardized patient examination.
  • Main Results:

    • Identified variation in mean scores over time for particular performance tasks.
    • Demonstrated the feasibility of creating a case-SP mean bank for score linking.
    • Highlighted the necessity of rigorous standardization of examination materials.

    Conclusions:

    • Detecting and addressing score drift in SPE is feasible and essential.
    • Continuous monitoring and standardization of assessment materials are critical for score comparability.
    • Ensuring score comparability safeguards the integrity of pass-fail decisions in high-stakes evaluations.