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Consistent Differential Discrimination Model Estimation.

Dirk Lubbe1, Christof Schuster1

  • 1a Department of Psychology , Justus-Liebig-University Giessen.

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Summary
This summary is machine-generated.

A new method for analyzing scale use, the differential discrimination model, has an inconsistent estimation procedure. This study demonstrates how to use structural equation modeling (SEM) for consistent parameter estimation.

Keywords:
Response stylecontinuous responsefactor analysisitem response theorylatent trait

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Area of Science:

  • Psychometrics
  • Quantitative Psychology

Background:

  • A novel factor-analytic model, the differential discrimination model, was recently introduced to assess individual differences in scale use.
  • The associated three-stage estimation approach has been found to have inconsistent second and third-stage estimators.

Purpose of the Study:

  • To address the inconsistency issues in the differential discrimination model's estimation.
  • To demonstrate a consistent and simultaneous estimation method for all model parameters.

Main Methods:

  • Expressing the differential discrimination model within a structural equation model (SEM) framework.
  • Utilizing standard SEM software for parameter estimation.

Main Results:

  • The differential discrimination model can be effectively represented as a structural equation model.
  • Consistent and simultaneous estimation of all model parameters is achievable using this SEM framework.

Conclusions:

  • The proposed SEM approach provides a statistically sound and consistent method for estimating parameters in the differential discrimination model.
  • This facilitates more reliable assessment of individual differences in scale use.