
Modern Regression Techniques Using R
A Practical Guide
SAGE Publications Ltd (Publisher)
1st Edition
Published on 19. February 2009
Book
Hardback
216 pages
978-1-84787-902-8 (ISBN)
Description
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.
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.
Reviews / Votes
`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 UniversityMore details
Edition
First Edition
Language
English
Place of publication
London
United Kingdom
Target group
College/higher education
Dimensions
Height: 242 mm
Width: 170 mm
Weight
505 gr
ISBN-13
978-1-84787-902-8 (9781847879028)
Copyright in bibliographic data and cover images is held by Nielsen Book Services Limited or by the publishers or by their respective licensors: all rights reserved.
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Persons
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.
Content
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
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