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Improved Activity Evaluations: An Iterative Process Using the Rasch Model.

Anthony Gage1, Sarah A Nisly

  • 1Mr. Gage: Director, Business Intelligence and Analytics, Clinical Education Alliance, Reston, VA. Dr. Nisly: Senior Vice President, Outcomes and Impact, Clinical Education Alliance, Reston, VA.

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Summary
This summary is machine-generated.

Psychometric analysis refined a continuing professional development evaluation tool, enhancing its reliability and reducing redundancy. This data-driven approach improves the quality of medical education assessments.

Keywords:
assessmentevaluationmeasurementoutcomespsychometrics

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Area of Science:

  • Medical Education
  • Psychometrics
  • Continuing Professional Development

Background:

  • Traditional evaluation models in medical education are insufficient for complex, modern demands.
  • There is a need for more comprehensive and nuanced assessment approaches.

Purpose of the Study:

  • To develop and refine a standardized evaluation instrument for continuing professional development (CPD) activities.
  • To enhance the reliability and reduce redundancy of the CPD evaluation tool using psychometric principles.

Main Methods:

  • A standardized evaluation instrument was developed and iteratively refined using repeated Rasch analysis.
  • Category Probability Curves and Test Information Function were utilized to optimize assessment construction.
  • Data from 250 educational activities and 26,554 learners were initially analyzed, with final validation on 21 activities and 529 learners.

Main Results:

  • Initial Rasch analysis indicated a need to remove redundancies and change the rating scale from five to four points.
  • Post-modification, the instrument's reliability improved, with Cronbach's alpha increasing from 0.72 to 0.80.
  • The refined instrument demonstrated enhanced psychometric properties.

Conclusions:

  • Psychometric methods can significantly improve the reliability and reduce redundancy of evaluation instruments.
  • The study presents a flexible, psychometrically informed tool for evaluating CPD programs.
  • This data-driven metric can enhance the quality and inform future educational efforts in medical training.