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 Nominal Data

Measures of association for nominal data should not depend on the particular order in which the categories are listed, and all the measures discussed in this chapter share that property. Among the oldest measures for nominal data are those based on the chi-square statistic, ...

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