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When Does Differential Item Functioning Matter for Screening? A Method for Empirical Evaluation.

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This summary is machine-generated.

Differential item functioning (DIF) can impact screening accuracy. This study extends a method to quantify DIF

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Area of Science:

  • Psychometrics
  • Educational Measurement
  • Statistical Modeling

Background:

  • Differential Item Functioning (DIF) is common in screening measures.
  • Existing DIF detection methods lack guidance on impact on screening accuracy.
  • Prior methods to quantify DIF's impact on screening were limited to continuous items.

Purpose of the Study:

  • To extend the Millsap and Kwok procedure for quantifying DIF's impact on screening accuracy to discrete items.
  • To provide R functions for applying the extended procedure.
  • To evaluate the methodology using published data and simulation.

Main Methods:

  • Extension of the Millsap and Kwok procedure to discrete items.
  • Development of R functions for practical application.
  • Illustration with published screening data and a simulation study.

Main Results:

  • The extended procedure effectively accommodates discrete items in screening measures.
  • The R functions facilitate the application of the methodology.
  • Empirical evaluation demonstrated the utility of the proposed approach.

Conclusions:

  • Researchers should empirically assess the impact of DIF on screening performance.
  • The extended method and R functions offer a valuable tool for evaluating DIF in discrete screening measures.
  • This work enhances the understanding of DIF's practical implications in screening.