Clearly reviews the properties of important contemporary measures of association and correlation. Liebetrau devotes full chapters to measures for nominal, ordinal, and continuous (interval) data, paying special attention to the sampling distributions needed to determine levels of significance and confidence intervals. Valuable discussions also focus on the relationships between various measures, the sampling properties of their estimators and the comparative advantages and disadvantages of different approaches.

Measures of Association for Ordinal Data

Kendall's τ was originally defined for continuous bivariate data, so any version of τ intended for ordinal data must take ties into account. Several versions of τ and three related measures are considered. Except for the way ties are handled, all the measures are quite similar. Notation for this ...

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