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Rank Correlation Methods

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Public Program Analysis

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.

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© 1981 Wadsworth, Inc.

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Forthofer, R.N., Lehnen, R.G. (1981). Rank Correlation Methods. In: Public Program Analysis. Springer, Boston, MA. https://doi.org/10.1007/978-1-4684-6683-6_9

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  • DOI: https://doi.org/10.1007/978-1-4684-6683-6_9

  • Publisher Name: Springer, Boston, MA

  • Print ISBN: 978-1-4684-6685-0

  • Online ISBN: 978-1-4684-6683-6

  • eBook Packages: Springer Book Archive

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