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Related Experiment Videos

Assessing differential functioning in a satisfaction scale.

W C Collins1, N S Raju, J E Edwards

  • 1Institute of Psychology, Illinois Institute of Technology, Chicago 60616-3793, USA.

The Journal of Applied Psychology
|July 20, 2000
PubMed
Summary
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This study applied the differential item functioning (DIF) framework to a satisfaction scale, finding it effective for detecting bias in item characteristics across demographic groups. The DFIT method proved reliable for identifying fairness issues in assessments.

Area of Science:

  • Educational Measurement and Psychometrics
  • Psychological Testing and Assessment
  • Item Response Theory (IRT)

Background:

  • Ensuring fairness in psychological and educational assessments is crucial.
  • Differential Item Functioning (DIF) analysis is a key method for detecting item bias.
  • The Differential Item Functioning of Items and Tests (DFIT) framework offers a robust approach to DIF analysis.

Purpose of the Study:

  • To apply the item response theory-based DFIT framework to a Likert-type satisfaction scale.
  • To compare the performance of DFIT indices with traditional DIF methods (Lord's chi-square, Signed Area).
  • To investigate potential DIF in a 10-item satisfaction scale across racial (Black vs. White) and gender (Female vs. Male) groups.

Main Methods:

  • Application of the Differential Item Functioning of Items and Tests (DFIT) framework.

Related Experiment Videos

  • Differential Item Functioning (DIF) analyses comparing item characteristics.
  • Utilized F. M. Lord's chi-square and extended Signed Area (SA) measures as comparative methods.

    • Main Results:

    • The DFIT indices demonstrated consistent and expected performance in detecting DIF.
    • Results from Lord's chi-square and SA procedures showed variability across different comparisons.
    • Significant DIF was identified for at least one item on the satisfaction scale.

    Conclusions:

    • The DFIT framework is a reliable and effective tool for DIF analysis in Likert-type scales.
    • DFIT provides consistent results, potentially offering advantages over traditional methods like Lord's chi-square and SA.
    • Further research is recommended to explore the application and utility of DFIT in diverse assessment contexts.