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Related Experiment Videos

An Effect Size Measure for Raju's Differential Functioning for Items and Tests.

Keith D Wright1, T C Oshima1

  • 1Secondary School Admission Test Board, Princeton, NJ, USA.

Educational and Psychological Measurement
|May 26, 2018
PubMed
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This study introduces a new effect size measure for noncompensatory differential item functioning (NCDIF) to identify significant differences in test items. This measure aids in reporting moderate and large differential item functioning, enhancing test accuracy.

Area of Science:

  • Psychometrics
  • Educational Measurement
  • Item Response Theory

Background:

  • Differential item functioning (DIF) is crucial for ensuring test fairness and validity.
  • Existing effect size measures may not adequately capture noncompensatory DIF.
  • Standardized reporting of DIF effects is needed for robust test analysis.

Purpose of the Study:

  • To establish a novel effect size measure for noncompensatory differential item functioning (NCDIF).
  • To provide a benchmark for identifying moderate and large NCDIF using the Mantel-Haenszel parameter.
  • To offer guidance for reporting NCDIF in test items.

Main Methods:

  • Developed an effect size measure for NCDIF based on the Mantel-Haenszel parameter.
  • Investigated the influence of model, discrimination (a), and difficulty (b) parameters on NCDIF effect size.
Keywords:
DIFIRTeffect size

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  • Generated tables detailing NCDIF effect size across various parameter levels (a, b, c).

    • Main Results:

    • The proposed NCDIF effect size measure is sensitive to item parameters (a, b, c).
    • Established specific effect size values for moderate and large NCDIF.
    • Provided empirical data through tables illustrating NCDIF effect size variations.

    Conclusions:

    • The new NCDIF effect size measure offers a standardized approach to quantifying DIF.
    • This measure facilitates the accurate identification and reporting of significant DIF in test items.
    • Recommendations for interpreting moderate and large NCDIF are established, improving psychometric analysis.