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Modern Regression Techniques Using R
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Modern Regression Techniques Using R : A Practical Guide

by Daniel B. Wright , Kamala London

Book Details

Format Paperback / Softback
ISBN-10 1847879039
ISBN-13 9781847879035
Publisher Sage Publications Ltd
Imprint Sage Publications Ltd
Country of Manufacture GB
Country of Publication GB
Publication Date Feb 19th, 2009
Print length 216 Pages
Weight 376 grams
Dimensions 24.20 x 16.90 x 1.30 cms
Product Classification: Research methods: general Social research & statistics Probability & statistics
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The comprehensive yet concise guide to carrying out regression analyses using the program R.
Statistics is the language of modern empirical social and behavioural science and the varieties of regression form the basis of this language. Statistical and computing advances have led to new and exciting regressions that have become the necessary tools for any researcher in these fields. In a way that is refreshingly engaging and readable, Wright and 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: www.sagepub.co.uk/wrightandlondon.

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 out using a range of real research examples conducted by the authors in every chapter.

Given the wide coverage of techniques, this book will be essential reading for any advanced undergraduate and graduate student (particularly in psychology) and for more experienced researchers wanting to learn how to apply some of the more recent statistical techniques to their datasets.

The Authors are donating all royalties from the book to the American Partnership for Eosinophilic Disorders.

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