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(Ebook) ANOVA and ANCOVA: A GLM Approach by Andrew Rutherford ISBN 9780470385555, 0470385553

  • SKU: EBN-4673912
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Authors:Andrew Rutherford
Pages:360 pages.
Year:2011
Editon:2
Publisher:Wiley
Language:english
File Size:16.33 MB
Format:pdf
ISBNS:9780470385555, 0470385553
Categories: Ebooks

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(Ebook) ANOVA and ANCOVA: A GLM Approach by Andrew Rutherford ISBN 9780470385555, 0470385553

Provides an in-depth treatment of ANOVA and ANCOVA techniques from a linear model perspectiveANOVA and ANCOVA: A GLM Approach provides a contemporary look at the general linear model (GLM) approach to the analysis of variance (ANOVA) of one- and two-factor psychological experiments. With its organized and comprehensive presentation, the book successfully guides readers through conventional statistical concepts and how to interpret them in GLM terms, treating the main single- and multi-factor designs as they relate to ANOVA and ANCOVA.The book begins with a brief history of the separate development of ANOVA and regression analyses, and then goes on to demonstrate how both analyses are incorporated into the understanding of GLMs. This new edition now explains specific and multiple comparisons of experimental conditions before and after the Omnibus ANOVA, and describes the estimation of effect sizes and power analyses leading to the determination of appropriate sample sizes for experiments to be conducted. Topics that have been expanded upon and added include:Discussion of optimal experimental designsDifferent approaches to carrying out the simple effect analyses and pairwise comparisons with a focus on related and repeated measure analysesThe issue of inflated Type 1 error due to multiple hypotheses testingWorked examples of Shaffer's R test, which accommodates logical relations amongst hypothesesANOVA and ANCOVA: A GLM Approach, Second Edition is an excellent book for courses on linear modeling at the graduate level. It is also a suitable reference for researchers and practitioners in the fields of psychology and the biomedical and social sciences.
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