IDEAS home Printed from https://ideas.repec.org/h/spr/sprchp/978-3-030-20933-9_11.html
   My bibliography  Save this book chapter

Contingency Tables

In: A Primer of Permutation Statistical Methods

Author

Listed:
  • Kenneth J. Berry

    (Colorado State University, Department of Sociology)

  • Janis E. Johnston

    (Alexandria)

  • Paul W. Mielke Jr.

    (Colorado State University, Department of Statistics)

Abstract

This chapter introduces permutation methods for the analysis of contingency tables. Included in this chapter are six example analyses illustrating computation of permutation methods for goodness-of-fit tests, analysis of contingency tables composed of two nominal-level (categorical) variables, analysis of contingency tables composed of two ordinal-level (ranked) variables, analysis of contingency tables composed of one nominal-level variable and one ordinal-level variable, analysis of contingency tables composed of one nominal-level variable and one interval-level variable, and analysis of contingency tables composed of one ordinal-level variable and one interval-level variable. Included in this chapter are permutation versions of Pearson chi-squared goodness-of-fit test, Pearson’s chi-squared test of independence, Cramér’s symmetrical measure of nominal association, Goodman and Kruskal’s τ a and τ b asymmetric measures of association for two categorical variables, Goodman and Kruskal’s G measure of association for two ranked variables, Somers’ d yx and d xy asymmetric measures of association for two ranked variables, Freeman’s θ measure of association for a categorical independent variable and a ranked dependent variable, Pearson’s point-biserial correlation coefficient for one dichotomous variable and one interval-level variable, and Jaspen’s correlation coefficient for one ranked variable and one interval-level variable.

Suggested Citation

  • Kenneth J. Berry & Janis E. Johnston & Paul W. Mielke Jr., 2019. "Contingency Tables," Springer Books, in: A Primer of Permutation Statistical Methods, chapter 0, pages 409-459, Springer.
    • Handle: RePEc:spr:sprchp:978-3-030-20933-9_11
    DOI: 10.1007/978-3-030-20933-9_11
    as

    Download full text from publisher

    To our knowledge, this item is not available for download. To find whether it is available, there are three options:
    1. Check below whether another version of this item is available online.
    2. Check on the provider's web page whether it is in fact available.
    3. Perform a
    for a similarly titled item that would be available.

    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:spr:sprchp:978-3-030-20933-9_11. 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: Sonal Shukla or Springer Nature Abstracting and Indexing (email available below). General contact details of provider: http://www.springer.com .

    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.