Includes bibliographical references (p. 178-184) and indexes
1. Why Ordinal Methods? -- 2. Ordinal Correlation -- 3. Inferences About Ordinal Correlation -- 4. Predicting Ordinal Relations: Ordinal Analogues of Multiple Regression -- 5. Alternatives to Mean Comparisons -- 6. Extension of d to Correlated Data and Broader Applications
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Taking an innovative approach, this book treats ordinal methods in an integrated way rather than as a compendium of unrelated methods, and emphasizes that the ordinal quantities are highly meaningful in their own right, not just as stand-ins for more traditional correlations or analyses of variance. In fact, since the ordinal statistics have desirable descriptive properties of their own, the book treats them parametrically, rather than nonparametrically. The author discusses how ordinal statistics can be applied in a much wider set of research situations than has usually been thought, and shows that they can often come closer to answering the researcher's primary questions than traditional ones can