| Description |
xx, 730 pages, 12 pages : illustrations ; 26 cm |
| Contents |
Introduction -- sect. 1. Preparing for a multivariate analysis. Examining your data -- Factor analysis -- sect. 2. Dependence techniques. Multiple regression analysis -- Advanced diagnostics for multiple regression analysis -- Multiple discriminant analysis and logistic regression -- Multivariate analysis of variance -- Conjoint analysis -- Canonical correlation analysis -- sect. 3. Interdependence techniques. Cluster analysis -- Multidimensional scaling -- sect. 4. Advanced and emerging techniques. Structural equation modeling -- A mathematical representation in LISREL notation -- Overall goodness-of-fit measures for structural equation modeling -- Emerging techniques in multivariate analysis -- Appendix A: Applications of multivariate data analysis |
| Summary |
For graduate courses in Marketing Research, Research Design and Data Analysis. For the non-statistician, this applications-oriented introduction to multivariate analysis reduces the amount of statistical notation and terminology used while focusing on the fundamental concepts that affect the use of specific techniques |
| Notes |
Rev. ed. of: Multivariate data analysis with readings. 4th ed. c1995 |
| Bibliography |
Includes bibliographical references and index |
| Subject |
Multivariate analysis.
|
| Author |
Hair, Joseph F.
|
| LC no. |
97047031 |
| ISBN |
0138948585 |
|
0139305874 (international edition) |
|
