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Related Experiment Videos

Measuring pretest-posttest change with a Rasch Rating Scale Model.

E W Wolfe1, C W Chiu

  • 1University of Florida, Gainesville 32611, USA. ewolfe@ufl.edu

Journal of Outcome Measurement
|April 16, 1999
PubMed
Summary
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This study introduces a method to separate genuine changes in individuals from shifts in how they interpret survey questions or use rating scales over time. It helps ensure accurate measurement by establishing a consistent reference point.

Area of Science:

  • Psychometrics
  • Quantitative Psychology
  • Measurement Theory

Background:

  • Longitudinal studies face challenges distinguishing individual change from measurement context shifts.
  • Changes in item interpretation or rating scale use can confound results.
  • Accurate assessment of change requires separating person-based from measurement-based variance.

Purpose of the Study:

  • To present a method for disentangling changes in persons from changes in measurement interpretation over time.
  • To provide a practical framework for analyzing longitudinal data from Likert-type questionnaires.
  • To illustrate the application of anchoring strategies for stable measurement.

Main Methods:

  • Utilizes anchoring strategies to establish a common frame of reference.

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  • Applies the FACETS software for detailed implementation.
  • Develops a procedure to differentiate between person-level and item-level changes.

    • Main Results:

    • The described method effectively separates genuine individual changes from alterations in measurement interpretation.
    • Anchoring strategies create a stable reference point for longitudinal comparisons.
    • FACETS provides a robust platform for implementing this disentanglement procedure.

    Conclusions:

    • The proposed method enhances the validity of longitudinal research by isolating true person change.
    • Accurate measurement over time is achievable through careful attention to the measurement context.
    • This approach offers a valuable tool for researchers using repeated measures.