In a way that is refreshingly engaging and readable, Daniel B. Wright and Kamala London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books webpage via the SAGE homepage. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested using a ...
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In a way that is refreshingly engaging and readable, Daniel B. Wright and Kamala London describe the most useful of these techniques and provide step-by-step instructions, using the freeware R, to analyze datasets that can be located on the books webpage via the SAGE homepage. Techniques covered in this book include multilevel modeling, ANOVA and ANCOVA, path analysis, mediation and moderation, logistic regression (generalized linear models), generalized additive models, and robust methods. These are all tested using a range of real research examples conducted by the authors in every chapter.
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Add this copy of Modern Regression Techniques Using R: a Practical Guide to cart. $4.99, good condition, Sold by Solr Books rated 5.0 out of 5 stars, ships from Skokie, IL, UNITED STATES, published 2009 by Sage Publications Ltd.
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Good. Pb, 2009, sm spots inside back, otherwise, clean text, no underlining/highlighting, overall, nice condition, binding tight, SKU-A051-DV-6/16, A small family business committed to BIG service! R1-07/20.
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This is an ex-library book and may have the usual library/used-book markings inside. This book has soft covers. Clean from markings. In good all round condition. Please note the Image in this listing is a stock photo and may not match the covers of the actual item, 500grams, ISBN: 9781847879035.
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