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Making Sense of Multivariate Data Analysis
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Making Sense of Multivariate Data Analysis
An Intuitive Approach



October 2004 | 256 pages | SAGE Publications, Inc
'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

 
Preface
 
Part I. The Core Ideas
 
1. What Makes a Difference?
1. 1 Analyzing Data in the Form of Scores  
1.2 Analyzing Data in the Form of Categories  
1.3 Further Reading  
 
2. Deciding Whether Differences Are Trustworthy
2.1 Sampling Issues  
2.2 Measurement Issues  
2.3 The Role of Chance  
2.4 Statistical Assumptions  
2.5 Further Reading  
 
3. Accounting for Differences in a Complex World
3.1 Limitations of Bivariate Analysis  
3.2 The Multivariate Strategy  
3.3 Common Misinterpretations of Multivariate Analyses  
3.4 Further Reading  
 
Part II. The Techniques
 
4. Multiple Regression
4.1 The Composite Variable in Multiple Regression  
4.2 Standard Multiple Regression in Action  
4.3 Trustworthiness in Regression Analysis  
4.4 Accommodating Other Types of Independent Variables  
4.5 Sequential Regression Analysis  
4.6 Further Reading  
 
5. Logistic Regression and Discriminant Analysis
5.1 Logistic Regression  
5.2 Discriminant Analysis  
5.3 Further Reading  
 
6. Multivariate Analysis of Variance
6.1 One-Way Analysis of Variance  
6.2 Factorial Analysis of Variance  
6.3 Multivariate Analysis of Variance  
6.4 Within-Subjects ANOVA and MANOVA  
6.5 Issues of Trustworthiness in MANOVA  
6.6 Analysis of Covariance  
6.7 Further Reading  
 
7. Factor Analysis
7.1 The Composite Variable in Factor Analysis  
7.2 Factor Analysis in Action  
7.3 Issues of Trustworthiness in Factor Analysis  
 
7.4 Confirmatory Factor Analysis
7.5 Further Reading  
 
8. Log-Linear Analysis
8.1 Hierarchical Log-Linear Analysis  
8.2 Trustworthiness in Log-Linear Analysis  
8.3 Log-Linear Analysis With a Dependent Variable: Logit Analysis  
8.4 Further Reading  
 
Bibliography
 
Index
 
About the Author

“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

“This book is a helpful guide to reading and understanding multivariate data analysis results in social and psychological research.”

C. Y. Joanne Peng
University of Indiana at Bloomington

"Spicer's book is a superb overview of multivariate statistics, but without formulas. Even though he is trying to offer a nontechnical overview of multivariate analyses, he doesn't shortchange the reader in any way. As much as you might know about stat, you'll learn some more here." 

William Dressler
University of Alabama

This book is easy to understand although multivariate analysis is complicated. Students find it very helpful especially when interpreting the analytic results.

Dr Yiyuan Sun
School Of Nursing, Adelphi University
February 20, 2011

The approach of using published articles as illustrations and non-mathematical languages are definitely useful for social science students to understand the complexity of mutlivariate analysis in context.

Dr Wu Joseph
Department of Social Studies, City University of Hong Kong
December 5, 2010

It is a straightforward presentation of analysis procedures included in this course. I have used a number of QASS series publications in teaching data analysis for almost 20 years. I had them as texts when I was a PhD student. Generally more accepted by students than more in-depth treatments.

Dr Joanne Youngblut
[DEPARTMENT NOT SPECIFIED], Florida International University - Miami
January 3, 2010

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