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Analyzing Measures of Association Derived From Contingency Tables

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  • Herbert M. Kritzer

    (Rice University)

Abstract

This paper describes a technique for the rigorous analysis of probabilistic measures of association derived from contingency tables. The technique uses the approach to contingency table analysis first described by Grizzle, Starmer, and Koch and extended by Forthofer and Koch. This approach permits the user to obtain estimates of gamma, Yule's Q, Kendall's tau b and tau c , Somer's D, and Goodman and Kruskal's taus, plus estimates of the variances and covariances of those measures of association. With the variance-covariance estimates, the user can examine a wide range of hypotheses for statistical significance.

Suggested Citation

  • Herbert M. Kritzer, 1977. "Analyzing Measures of Association Derived From Contingency Tables," Sociological Methods & Research, , vol. 5(4), pages 387-418, May.
    • Handle: RePEc:sae:somere:v:5:y:1977:i:4:p:387-418
    DOI: 10.1177/004912417700500401
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    Cited by:

    1. Hannah E. M. Oosterhuis & L. Andries Ark & Klaas Sijtsma, 2017. "Standard Errors and Confidence Intervals of Norm Statistics for Educational and Psychological Tests," Psychometrika, Springer;The Psychometric Society, vol. 82(3), pages 559-588, September.

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