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[Implementing graphical and analytical procedures for developing parallel tests].

Pere Joan Ferrando Piera1, Urbano Lorenzo-Seva, Rafael Pallero González

  • 1Universidad Rovira i Virgili, Centro de Investigación y Medida de la Conducta, Departamento de Psicología, Facultad de Psicología, Tarragona, Spain. perejoan.ferrando@urv.cat

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Summary

This study introduces FOR-PAR, a free software tool for creating parallel forms using classical test theory. It implements both graphical and objective methods, aiding applied research where parallel test construction is essential.

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Area of Science:

  • Psychometrics and Educational Measurement
  • Computational Statistics

Context:

  • Developing parallel forms is crucial for various research applications, including test equating and longitudinal studies.
  • Existing methods for parallel form construction are often complex or lack user-friendly software solutions.
  • Classical test theory provides a foundational framework for item pool calibration and test form development.

Purpose:

  • To implement and evaluate two distinct procedures for constructing parallel test forms: a graphical method (Gulliksen's matched random subtests) and an objective method (van der Linden and Boekkooi-Timminga's criteria with zero-one programming).
  • To introduce FOR-PAR, a novel, free, and user-friendly software program that automates the generation of parallel forms directly from item scores.
  • To address the need for accessible tools in applied research for creating psychometrically equivalent test forms.

Summary:

  • The study details the implementation of Gulliksen's graphical procedure and a novel objective procedure utilizing zero-one programming for parallel form construction.
  • Both methods are based on item pools calibrated using classical test theory.
  • The developed software, FOR-PAR, provides a direct and accessible solution for generating parallel forms, demonstrated with an adjustment test for visually handicapped individuals.

Impact:

  • FOR-PAR offers a practical and efficient solution for researchers requiring parallel test forms, filling a gap in available software.
  • The availability of user-friendly software facilitates the development and application of parallel testing in diverse research areas.
  • This work supports the advancement of psychometric practices by providing tools for rigorous test construction, particularly beneficial for specialized populations.