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Making Sense of Multivariate Data Analysis An Intuitive Approach

ISBN-10: 1412904013
ISBN-13: 9781412904018
Edition: 2004
Authors: John Spicer
List price: $84.00 Buy it from $63.33
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Description: "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  More...

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Book details

List price: $84.00
Copyright year: 2004
Publisher: SAGE Publications, Incorporated
Publication date: 8/19/2004
Binding: Paperback
Pages: 256
Size: 6.00" wide x 8.75" long x 0.75" tall
Weight: 0.748
Language: English

"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 invaluable resource. 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

Preface
The Core Ideas
What Makes a Difference?
Analyzing Data in the Form of Scores
Analyzing Data in the Form of Categories
Further Reading
Deciding Whether Differences Are Trustworthy
Sampling Issues
Measurement Issues
The Role of Chance
Statistical Assumptions
Further Reading
Accounting for Differences in a Complex World
Limitations of Bivariate Analysis
The Multivariate Strategy
Common Misinterpretations of Multivariate Analyses
Further Reading
The Techniques
Multiple Regression
The Composite Variable in Multiple Regression
Standard Multiple Regression in Action
Trustworthiness in Regression Analysis
Accommodating Other Types of Independent Variables
Sequential Regression Analysis
Further Reading
Logistic Regression and Discriminant Analysis
Logistic Regression
Discriminant Analysis
Further Reading
Multivariate Analysis of Variance
One-Way Analysis of Variance
Factorial Analysis of Variance
Multivariate Analysis of Variance
Within-Subjects ANOVA and MANOVA
Issues of Trustworthiness in MANOVA
Analysis of Covariance
Further Reading
Factor Analysis
The Composite Variable in Factor Analysis
Factor Analysis in Action
Issues of Trustworthiness in Factor Analysis
Confirmatory Factor Analysis
Further Reading
Log-Linear Analysis
Hierarchical Log-Linear Analysis
Trustworthiness in Log-Linear Analysis
Log-Linear Analysis With a Dependent Variable: Logit Analysis
Further Reading
Bibliography
Index
About the Author

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