IDEAS home Printed from https://ideas.repec.org/a/sae/somere/v7y1979i3p330-336.html
   My bibliography  Save this article

Log-Linear Models for Contingency Table Analysis

Author

Listed:
  • D. Holt

    (University of Southampton)

Abstract

This paper is concerned with the interpretation of fitted log-linear models in contingency table analysis. The two most commonly used alternatives are the direct interpretation of the estimated coefficients of the fitted model and the interpretation of statistics, such as odds ratios, based upon the expected cell frequencies under the fitted model. There are strong reasons for preferring the latter since the statistics will be the same whatever computer program is used to fit the model whereas the estimated parameter coefficients will depend upon the set of constraints used to solve the normal equations. Thus, different computer programs can (correctly) provide different parameter estimates from the same data whereas statistics such as odds ratios based upon the expected cell frequencies will be unaffected. Interpretation based upon the estimated parameters of the fitted model is therefore potentially misleading. These problems are not unique to log-linear analysis but occur in analyses involving the generalized linear model.

Suggested Citation

  • D. Holt, 1979. "Log-Linear Models for Contingency Table Analysis," Sociological Methods & Research, , vol. 7(3), pages 330-336, February.
    • Handle: RePEc:sae:somere:v:7:y:1979:i:3:p:330-336
    DOI: 10.1177/004912417900700304
    as

    Download full text from publisher

    File URL: https://journals.sagepub.com/doi/10.1177/004912417900700304
    Download Restriction: no
    File URL: https://libkey.io/10.1177/004912417900700304?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
    ---><---

    Citations

    Citations are extracted by the CitEc Project, subscribe to its RSS feed for this item.
    as


    Cited by:

    1. Richard Alba, 1982. "The convergence between the common-sense method of reading a contingency table and regression-based models of its structure," Quality & Quantity: International Journal of Methodology, Springer, vol. 16(6), pages 539-547, December.

    More about this item

    Statistics

    Access and download statistics

    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:somere:v:7:y:1979:i:3:p:330-336. 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.