Description
CENGAGE Analyzing Multivariate Data 2003 Edition by James M. Lattin
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. Part I: Overview 1. Introduction 2. Vectors and Matrixes Part II: Analysis of Interdependence 3. Regression Analysis 4. Principal Components Analysis 5. Exploratory Factor Analysis 6. Confirmatory Factor Analysis 7. Multidimensional Scaling Part III: Analysis of Dependence 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