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.
Much human endeavor is devoted to the discovery of important relationships, or associations. It is seldom enough to know only that some relationship exists, so research is usually undertaken to quantify the association. The ultimate goal may be to establish a cause-effect relationship, but quantification ...