IDEAS home Printed from https://ideas.repec.org/a/sae/jedbes/v32y2007i1p92-109.html
   My bibliography  Save this article

Odds Ratio, Delta, ETS Classification, and Standardization Measures of DIF Magnitude for Binary Logistic Regression

Author

Listed:
  • Patrick O. Monahan

    (Indiana University)

  • Colleen A. McHorney

    (Merck & Co., Inc)

  • Timothy E. Stump
  • Anthony J. Perkins

Abstract

Previous methodological and applied studies that used binary logistic regression (LR) for detection of differential item functioning (DIF) in dichotomously scored items either did not report an effect size or did not employ several useful measures of DIF magnitude derived from the LR model. Equations are provided for these effect size indices. Using two large data sets, the authors demonstrate the usefulness of these effect sizes for judging practical importance: the LR adjusted odds ratio and its conversions to the delta metric, the Educational Testing Service (ETS) classification system, and the p metric; the LR model-based standardization indices, using various weights for averaging stratum-specific differences in fitted probabilities; and a p metric classification system. Pros and cons of these effect sizes are discussed. Recommendations are offered. These LR effect sizes will be valuable to practitioners, particularly for preventing flagging of statistically significant but practically unimportant DIF in large samples.

Suggested Citation

  • Patrick O. Monahan & Colleen A. McHorney & Timothy E. Stump & Anthony J. Perkins, 2007. "Odds Ratio, Delta, ETS Classification, and Standardization Measures of DIF Magnitude for Binary Logistic Regression," Journal of Educational and Behavioral Statistics, , vol. 32(1), pages 92-109, March.
    • Handle: RePEc:sae:jedbes:v:32:y:2007:i:1:p:92-109
    DOI: 10.3102/1076998606298035
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.3102/1076998606298035
    Download Restriction: no
    File URL: https://libkey.io/10.3102/1076998606298035?utm_source=ideas
    LibKey link: if access is restricted and if your library uses this service, LibKey will redirect you to where you can use your library subscription to access this item
    ---><---

    Corrections

    All material on this site has been provided by the respective publishers and authors. You can help correct errors and omissions. When requesting a correction, please mention this item's handle: RePEc:sae:jedbes:v:32:y:2007:i:1:p:92-109. See general information about how to correct material in RePEc.

    If you have authored this item and are not yet registered with RePEc, we encourage you to do it here. This allows to link your profile to this item. It also allows you to accept potential citations to this item that we are uncertain about.

    We have no bibliographic references for this item. You can help adding them by using this form .

    If you know of missing items citing this one, you can help us creating those links by adding the relevant references in the same way as above, for each refering item. If you are a registered author of this item, you may also want to check the "citations" tab in your RePEc Author Service profile, as there may be some citations waiting for confirmation.

    For technical questions regarding this item, or to correct its authors, title, abstract, bibliographic or download information, contact: SAGE Publications (email available below). General contact details of provider: .

    Please note that corrections may take a couple of weeks to filter through the various RePEc services.

    IDEAS is a RePEc service. RePEc uses bibliographic data supplied by the respective publishers.