By Joseph F. Hair
Descripción: For graduate and upper-level undergraduate marketing research courses.
For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis.
Hair et. al provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques.
In this seventh revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.
1. Overview of Multivariate Methods
2. Examining Your Data
3. Exploratory Factor Analysis
4. Multiple Regression Analysis
5. Multiple Discriminant Analysis
6. Logistic Regression: Regression with a Binary Dependent Variable
7. Conjoint Analysis
8. Cluster Analysis
9. Multidimensional Scaling
10. Analyzing Nominal Data with Correspondence Analysis
11. Structural Equations Modeling Overview
12. Confirmatory Factor Analysis
13. Testing Structural Equations Models
14. Manova and Glm