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In a data analysis, does it make sense to report both Kendall's tau and Goodman's Gamma? I guess not, since tau looks like a standardized form of Gamma. Or does it add some explanation?

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    $\begingroup$ If the data have no ties, gamma = tau. If the data have ties, you should think what to do with them - leave out? ignore? take into account - how? Hence you arrive at gamma or tau-a, tau-b, tau-c, etc. Please search this site for Gamma, Kendall. $\endgroup$ – ttnphns Jan 14 '14 at 11:58
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    $\begingroup$ Make sure you happen across ttnphns' answer to a related question in your search! $\endgroup$ – Nick Stauner Jan 14 '14 at 13:39

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