The text provides a three-part structure. First, the authors begin each major topic by developing students' statistical intuition through applications. Then, they provide illustrative examples for support. Finally, for those courses where it will be valuable, they describe relevant mathematical underpinnings with vectors and matrix algebra. Additionally, each chapter follows a standard format. This format begins by discussing a general set of research objectives, followed by illustrative examples of problems in different areas. Then it provides an explanation of how each method works, followed by a sample problem, application of the technique, and interpretation of results.
- Uses geometric interpretation to develop readers'' intuition and provide students with a mental picture of how each method works.
- Takes a pragmatic, hands-on approach through sample problems based on real data.
- Each chapter offers at least one application, as well as a discussion of issues related to the proper interpretation of the results.
- Special emphasis is placed on generalizing the results of the analysis, and suggestions are presented for testing the validity of findings.
- Contains illustrations and sample problems from a wide range of areas, including psychology, sociology, and marketing research.
Part I: Overview
1. Introduction
2. Vectors and Matrices
3. Regression Analysis
Part II: Analysis of Interdependence
4. Principal Components Analysis
5. Exploratory Factor Analysis
6. Confirmatory Factor Analysis
7. Multidimensional Scaling
8. Cluster Analysis
Part III: Analysis of Dependence
9. Canonical Correlation
10. Structural Equation Models with Latent
11. Analysis of Variance
12. Discriminant Analysis
13. Logit Choice Models
James M. Lattin
James M. Lattin is the Robert A. Magowan Professor of Marketing at the Graduate School of Business, Stanford University. He holds an A.B. from Dartmouth College and a Ph.D. in Management Science from the Sloan School of Management at Massachusetts Institute of Technology.
J. Douglas Carroll
J. Douglas Carroll is Board of Governors Professor of Management and Psychology at the Graduate School of Management of Rutgers University.
Paul E. Green
Paul E. Green is Professor of Marketing at the Wharton School, University of Pennsylvania. His research emphasizes quantitative methods and new measurement techniques in market analysis and consumer research.