Multivariate data analysis
"Multivariate Data Analysis is an applications-oriented introduction to multivariate analysis for the non-statistician. The seventh edition incorporates pivotal advances in technology that will assist students in gaining a firm understanding of statistical and managerial principles so as to dev...
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| Format: | Book |
| Language: | English |
| Published: |
Upper Saddle River, NJ
Prentice Hall
2010.
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| Edition: | 7th ed. |
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Table of Contents:
- Ch. 1 Overview of Multivariate Methods
- Sect. I Preparing to Apply Multivariate Analysis
- Ch.2 Examining Your Data
- Ch. 3 Exploratory Factor Analysis
- Sect. II Dependence Techniques
- Ch. 4 Multiple Regression Analysis
- Ch. 5 Multiple Discriminant Analysis
- Ch. 6 Logistic Regression: Regression with a Binary Dependent Variable
- Ch. 7 MANOVA and GLM
- Ch. 8 Conjoint Analysis
- Sect. III Interdependence Techniques
- Ch. 9 Cluster Analysis
- Ch. 10 Multidimensional Scaling
- Ch. 11 Analyzing Nominal Data with Correspondence Analysis
- Sect. IV Moving Beyond the Basic Techniques
- Ch. 12 Structural Equations Modeling Overview
- Ch. 13 Confirmatory Factor Analysis
- Ch. 14 Testing Structural Equations Models
- Ch. 15 Advanced SEM Topics and PLS
- Index