By focusing on situations in which analysis of variance (ANOVA) involves the repeated measurement of separate groups of individuals, Girden reveals the advantages, disadvantages, and counterbalancing issues of repeated measures situations. Using additive and nonadditive models to guide the analysis in each chapter, the book covers such topics as the rationale for partitioning the sums of squares, detailed analyses to facilitate the interpretation of computer printouts, the rationale for the F ratios in terms of expected ...
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By focusing on situations in which analysis of variance (ANOVA) involves the repeated measurement of separate groups of individuals, Girden reveals the advantages, disadvantages, and counterbalancing issues of repeated measures situations. Using additive and nonadditive models to guide the analysis in each chapter, the book covers such topics as the rationale for partitioning the sums of squares, detailed analyses to facilitate the interpretation of computer printouts, the rationale for the F ratios in terms of expected means squares, validity assumptions for sphericity or circularity, and approximate tests to perform when sphericity is not met. In addition, the text includes the latest work on data with missing values and the use of quasi-F ratios when one or more independent variables is of the random effects type.
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Seller's Description:
Volume 84. This is an ex-library book and may have the usual library/used-book markings inside. This book has soft covers. In poor condition, suitable as a reading copy. Library sticker on front cover. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 200grams, ISBN: 0803942575.
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