| Making Sense of Multivariate Data Analysis: An Intuitive Approach Contributor(s): Spicer, John (Author) |
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ISBN: 1412904013 ISBN-13: 9781412904018 Publisher: Sage Publications, Inc OUR PRICE: $122.55 Product Type: Paperback - Other Formats Published: August 2004 Annotation: ???This book is a helpful guide to reading and understanding multivariate data analysis results in social and psychological research.??????C. Y. Joanne Peng, Indiana University at Bloomington ???This book serves as a resource for readers who want to have an overall view of what encompasses multivariate analyses. The author has discussed some important issues rather philosophically (e.g., theory vs. data analysis). These points are valuable even for readers who have extensive training with multivariate analyses.??????Jenn-Yun Tein, Arizona State University Making Sense of Multivariate Data Analysis is a short introduction to multivariate data analysis (MDA) for students and practitioners in the behavioral and social sciences. It provides a conceptual overview of the foundations of MDA and of a range of specific techniques including multiple regression, logistic regression, discriminant analysis, multivariate analysis of variance, factor analysis, and log-linear analysis. As a conceptual introduction, the book assumes no prior statistical knowledge, and contains very few symbols or equations. Its primary objective is to expose the conceptual unity of MDA techniques both in their foundations and in the common analytic strategies that lie at the heart of all of the techniques. Although introductory, the book encourages the reader to reflect critically on the general strengths and limitations of MDA techniques. Each chapter includes references for further reading accessible to the beginner. This is an ideal text for advanced undergraduate and graduate courses across the social sciences. Practitioners who need to refresh their knowledge of MDA will also find this an invaluableresource. Key Features * Assumes no prior statistical knowledge* Relies mainly on verbal exposition rather than symbols and formulae* Carries the reader from basic to advanced ideas in a relatively short space to demonstrate their continuity* Highlights the underlying strategies that unite all common multivariate techniques* Encourages the reader to reflect critically on the limitations of multivariate analysis in the broad research context* Uses examples from contemporary research on subjective well-being drawn from a variety of areas in the behavioral and social sciences |
| Additional Information |
| BISAC Categories: - Social Science | Research - Mathematics | Probability & Statistics - Multivariate Analysis |
| Dewey: 519.535 |
| LCCN: 2004007119 |
| Physical Information: 0.53" H x 5.96" W x 8.98" (0.76 lbs) 256 pages |
| Descriptions, Reviews, Etc. |
| Publisher Description: Making Sense of Multivariate Data Analysis is a short introduction to multivariate data analysis (MDA) for students and practitioners in the behavioral and social sciences. It provides a conceptual overview of the foundations of MDA and of a range of specific techniques including multiple regression, logistic regression, discriminant analysis, multivariate analysis of variance, factor analysis, and log-linear analysis. As a conceptual introduction, the book assumes no prior statistical knowledge, and contains very few symbols or equations. Its primary objective is to expose the conceptual unity of MDA techniques both in their foundations and in the common analytic strategies that lie at the heart of all of the techniques. Although introductory, the book encourages the reader to reflect critically on the general strengths and limitations of MDA techniques. Each chapter includes references for further reading accessible to the beginner. |
Contributor Bio(s): Spicer, John: - John Spicer was an Associate Professor and Head of Psychology at Massey University, New Zealand until the end of 2002, when he took early retirement to devote all of his time to writing books. Earlier, he was a Research Fellow for several years at the University of Auckland, New Zealand, and held Visiting Fellowships at the Universities of Michigan and London. His primary research interests have been in health psychology, and he has published articles mainly on cardiovascular disease and theoretical issues in a variety of international journals. He was coeditor of Social Dimensions of Health and Disease: New Zealand Perspectives (1994). Most of his undergraduate and graduate teaching has focused on research methods, particularly multivariate data analysis. In 2002 he coauthored a chapter on sociological and psychological methods in the fourth edition of the Oxford Textbook of Public Health. |