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 Correlation for Continuous (Interval) Data

Pearson's product-moment correlation coefficient and Spearman's rank correlation coefficient are among the oldest measures of association. The product-moment correlation coefficient is still one of the most widely used. Nearly all the measures for ordinal data can be traced to Kendall's ...

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