Modern Regression Techniques Using R: A Practical Guide for Students and Researchers
Author(s): Daniel B. Wright (Author), Kamala London (Author)
Publisher: SAGE Publications Ltd
Publication Date: 19 Feb. 2009
Edition: First Edition
Language: English
Print length: 216 pages
ISBN-10: 1847879039
ISBN-13: 9781847879035
Book 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.
Editorial Reviews
Review
`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
The book is an invaluable resource for those students wanting to learn more about R and advanced statistics techniques. In our University, at the Department of Sociology we have recently started to shift our statistics classes from SPSS-centric to R-philosophy. In this respect, R-based books that treat commonly used techniques like regression are most welcomed resources, as it is not only the students′ training that we need to change, but most frequently our colleagues′ misperceptions due to practice over the years. — Dr Adrian Dusa ―
drupal Published On: 2010-03-11
It seems like a very good text for an introductory course, and I am going to recommend that students use it as a supplemental test and see how well they do. — Dr Kenneth Benoit ―
drupal Published On: 2009-11-12
Nice compact format. Recommended only for advanced courses in econometrics as some topics are presented but not explained (e.g. diagnostic plots in chapter \Basic regression\”.” — Dr Sönke Hoffmann ―
drupal Published On: 2013-09-23
I pushed for using R in the course, but was not allowed to make change (we are sticking with Excel as data analysis tool.) \ Good book with great examples! — Mr Brian Kreeger ―
drupal Published On: 2009-10-23
Quite untuitive introduction, in my opinion. — Professor Gaurav Sinha ―
drupal Published On: 2009-10-19
From the Back Cover
The comprehensive yet concise guide to carrying out regression analyses using the program R.
About the Author
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.
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