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Related Experiment Videos

Using factor analysis to evaluate checklist items.

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

Academic Medicine : Journal of the Association of American Medical Colleges
|October 4, 2005
PubMed
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Structural equation modeling (SEM) analysis of standardized patient examination data suggests a two-factor model offers better psychometric qualities than a single-factor model for performance assessments.

Area of Science:

  • Psychometrics
  • Medical Education
  • Quantitative Psychology

Background:

  • Limited research exists on factor analytic techniques for performance assessment psychometrics.
  • Standardized patient examinations are crucial for evaluating clinical skills.

Purpose of the Study:

  • To demonstrate structural equation modeling (SEM) for analyzing standardized patient examination scores.
  • To compare the psychometric properties of different measurement models.

Main Methods:

  • Applied SEM to checklist data from a single standardized patient case.
  • Compared a single-factor model (data gathering) against a two-factor model (history taking, physical examination).

Main Results:

  • Both single-factor and two-factor models showed statistically significant but marginal fit.

Related Experiment Videos

  • A difference statistic indicated the two-factor model provided a significantly better fit to the data.

    • Conclusions:

    • SEM parameter estimates can inform the evaluation of checklist item performance.
    • This methodology proves useful for analyzing checklist data in performance assessments.