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9781847879028 Academic Inspection Copy

Modern Regression Techniques Using R

A Practical Guide
  • ISBN-13: 9781847879028
  • Publisher: SAGE PUBLICATIONS LTD
    Imprint: SAGE PUBLICATIONS LTD
  • By Daniel B. Wright, By Kamala London
  • Price: AUD $426.00
  • Stock: 0 in stock
  • Availability: This book is temporarily out of stock, order will be despatched as soon as fresh stock is received.
  • Local release date: 20/05/2009
  • Format: Hardback (242.00mm X 170.00mm) 216 pages Weight: 510g
  • Categories: Probability & statistics [PBT]
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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.
Daniel B. Wright is Professor of Educational Assessment, in the Department of Educational Psychology and Higher Education, University of Nevada, Las Vegas. His interests are in methodology and applied cognitive science.
Very Brief Introduction to R Very brief introduction to R The basic regression ANOVA as regression ANCOVA: Lord's paradox and mediation analysis Model selection and shrinkage Generalized linear models (GLMs) Regression splines and generalized additive models (GAMs) Multilevel models Robust regression Conclusion - make your data cool
`An impressive resource for lecturers and researchers in a relatively slim text. I particularly like the way it rapidly builds on basic regression models to introduce genuinely advanced and cutting edge techniques. It is also very useful that the examples are implemented in the free, cross-platform statistical software environment R' - Dr Thom Baguley, Psychology, Nottingham Trent University
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