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Semi-automated Rasch analysis with differential item functioning.

Feri Wijayanto1,2, Ioan Gabriel Bucur3, Karlien Mul4

  • 1Institute for Computing and Information Sciences, Radboud University Nijmegen, Nijmegen, The Netherlands. f.wijayanto@cs.ru.nl.

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|September 7, 2022
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Summary
This summary is machine-generated.

Manual Rasch analysis for instrument validation is complex and subjective. A new semi-automated procedure using IPOQ-LL-DIF offers a faster, objective alternative for developing reliable measurement tools.

Keywords:
DIF detectionDifferential item functioningGPCM-DIFGPCMlassoGeneralized partial credit modelPenalized JMLERasch modelSemi-automated Rasch analysis

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Area of Science:

  • Psychometrics
  • Health Measurement
  • Statistical Modeling

Background:

  • Rasch analysis is crucial for developing and validating measurement instruments.
  • Manual Rasch analysis is complex, time-consuming, and subjective, especially when considering differential item functioning (DIF).
  • Existing methods lack objectivity and efficiency in handling DIF.

Purpose of the Study:

  • To introduce a semi-automated procedure for Rasch analysis.
  • To address the complexity and subjectivity of manual Rasch analysis, particularly with DIF.
  • To present a novel optimization criterion, in-plus-out-of-questionnaire log likelihood with differential item functioning (IPOQ-LL-DIF).

Main Methods:

  • Developed a semi-automated procedure based on optimizing the IPOQ-LL-DIF criterion.
  • Extended a previously developed criterion to incorporate DIF.
  • Applied the procedure to both simulated and real-world datasets with potential DIF items.

Main Results:

  • The semi-automated procedure was tested on diverse datasets.
  • It successfully identified instruments with comparable clinimetric properties to those found by expert manual analysis.
  • The method demonstrated effectiveness in handling datasets with potential DIF.

Conclusions:

  • The proposed semi-automated Rasch analysis procedure offers an efficient and objective alternative to manual methods.
  • The IPOQ-LL-DIF criterion aids in developing valid measurement instruments, even in the presence of DIF.
  • This approach enhances the reliability and practicality of instrument development and validation in psychometrics.