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.

NOTES

1. Technically, the multinomial distribution is the correct model for sampling with replacement. If sampling is without replacement, the correct model involves the hyper-geometric distribution. In practice, differences between the two distributions are negligible if the population is large and the sample small enough relative ...

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