Multivariate Analysis of Variance and Repeated Measures describes a practical aproach to univariate and multivariate analysis of variance. It starts with a general non-mathematical account of the fundamental theories and this is followed by a discussion of a series of examples using real data sets from the authors' own work in clinical trials, psychology and industry. Included are discussions of factorial and nested designs, structures on the multiple dependent variables measured on each subject, repeated measures analyses, covariates, choice of text statistic and simultaneous test procedures.
"[...] provides a useful guide to the researcher wondering whether to attempt a multivariate analysis of variance and shows how thinking clearly about reseach questions can lead to approprite choice of analytic strategies."
- J. Duffy, The Times Higher Educational Supplement
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