Multivariate Data Analysis

✍ Scribed by Jr, Joseph F Hair;Black, William C;Babin, Barry J;Anderson, Rolph E

Year: 2013
Tongue: English
Leaves: 739
Category: Library

No coin nor oath required. For personal study only.

✦ Synopsis

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.

✦ Table of Contents

Cover......Page 1
Table of Contents......Page 4
1. Overview of Multivariate Methods......Page 6
2. Examining Your Data......Page 36
3. Exploratory Factor Analysis......Page 94
4. Multiple Regression Analysis......Page 156
5. Multiple Discriminant Analysis......Page 236
6. Logistic Regression: Regression with a Binary Dependent Variable......Page 318
7. Conjoint Analysis......Page 346
8. Cluster Analysis......Page 420
9. Multidimensional Scaling......Page 480
10. Analyzing Nominal Data with Correspondence Analysis......Page 524
11. Structural Equations Modeling Overview......Page 546
12. Confirmatory Factor Analysis......Page 604
13. Testing Structural Equations Models......Page 644
14. Manova and Glm......Page 670
C......Page 734
E......Page 735
M......Page 736
P......Page 737
S......Page 738
Y......Page 739

✦ Subjects

Textbooks;Science;Mathematics;Nonfiction;Reference;Research

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