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Substantive scale construction.

Mark H Stone1

  • 1Adler School of Professional Psychology, 65 East Wacker Place, Chicago, IL 60601, USA. MHS@Adler.edu

Journal of Applied Measurement
|August 9, 2003
PubMed
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This study outlines essential steps for robust variable construction using Rasch measurement. It emphasizes theory-driven design, item development, and data analysis for accurate measurement outcomes.

Area of Science:

  • Psychometrics
  • Educational Measurement
  • Social Sciences

Background:

  • Effective variable construction is crucial for valid measurement.
  • Rasch measurement offers a framework for developing and analyzing measurement instruments.
  • Previous approaches may lack a systematic, theory-guided methodology.

Purpose of the Study:

  • To provide practical guidelines for constructing variables using Rasch measurement principles.
  • To emphasize the importance of theoretical grounding and item hierarchy in variable development.
  • To illustrate the utility of variable maps in interpreting Rasch model results.

Main Methods:

  • Developing a theory to guide variable conceptualization.
  • Constructing a hierarchy of items to define the variable.

Related Experiment Videos

  • Producing item difficulties and person measures using Rasch models.
  • Analyzing model fit to ensure data-instrument congruence.

    • Main Results:

    • A systematic approach to variable construction integrating theory and Rasch modeling.
    • Demonstration of how item difficulties and person measures inform variable quality.
    • Highlighting the role of variable maps in visualizing and understanding measurement structure.

    Conclusions:

    • Careful attention to substantive issues and Rasch measurement principles enhances variable quality.
    • Theory-guided item construction and rigorous data analysis are key to valid measurement.
    • Variable maps serve as essential tools for both constructing and interpreting Rasch-based variables.