Modern Regression Techniques Using R: A Practical Guide for Students and Researchers - Couverture rigide

Wright, Daniel B.; London, Kamala

Couverture rigide

ISBN 10 : 1847879020 ISBN 13 : 9781847879028

Editeur : Sage Publications Ltd, 2009

Synopsis

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.

A propos du livre

À propos de l?auteur

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.

Détails de l'édition

• Éditeur: Sage Publications Ltd
• Date d'édition: 2009
• ISBN 10: 1847879020
• ISBN 13: 9781847879028
• Reliure: Relié
• Langue: anglais
• Nombre de pages: 216
• Coordonnées du fabricant: non disponible