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A Coefficient of Association Between Categorical Variables With Partial or Tentative Ordering of Categories

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  • Volkert Siersma

    (University of Copenhagen, Copenhagen, Denmark, siersma@sund.ku.dk)

  • Svend Kreiner

    (University of Copenhagen, Copenhagen, Denmark)

Abstract

Goodman and Kruskal’s γ coefficient measuring monotone association and its partial variants are useful for the analysis of multiway contingency tables containing ordinal variables. When the categories of a variable are only partly ordered and the variable is treated as a nominal variable, information in the ordering of the categories and statistical power is lost. The authors suggest a P γ measure that is the maximum of the ordinary γ coefficients obtained by permuting the categories of nominal or partially ordered variables, while leaving the partial ordering intact. When the assumption of a monotone underlying association is justified, this measure has higher power than nominal tests for association. Furthermore, the resulting optimal monotone ordering gives insight into the nature of this association, which is not obtained by tests for nominal variables. The properties of the P γ coefficient are investigated in a simulation study and its use illustrated in two data sets.

Suggested Citation

  • Volkert Siersma & Svend Kreiner, 2009. "A Coefficient of Association Between Categorical Variables With Partial or Tentative Ordering of Categories," Sociological Methods & Research, , vol. 38(2), pages 265-286, November.
    • Handle: RePEc:sae:somere:v:38:y:2009:i:2:p:265-286
    DOI: 10.1177/0049124109346161
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    References listed on IDEAS

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    1. Alan Agresti & Dennis Wackerly & James Boyett, 1979. "Exact conditional tests for cross-classifications: Approximation of attained significance levels," Psychometrika, Springer;The Psychometric Society, vol. 44(1), pages 75-83, March.
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