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Rank Correlation Methods

  • Ron N. Forthofer
  • Robert G. Lehnen

Abstract

Rank correlation coefficients are statistical indices that measure the degree of association between two variables having ordered categories. Some well-known rank correlation coefficients are those proposed by Goodman and Kruskal (1954, 1959), Kendall (1955), and Somers (1962). Rank correlation methods share several common features. They are based on counts and are defined such that a coefficient of zero means “no association” between the variables and a value of +1.0 or -1.0 means “perfect agreement” or “perfect inverse agreement,” respectively.

Keywords

Education Effect Vote Preference Opinion Response School Integration Republican Candidate 
These keywords were added by machine and not by the authors. This process is experimental and the keywords may be updated as the learning algorithm improves.

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Copyright information

© Wadsworth, Inc. 1981

Authors and Affiliations

  • Ron N. Forthofer
  • Robert G. Lehnen

There are no affiliations available

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