Click on the cover image above to read some pages of this book!
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.
The authors provide 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 organisation 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.
II Preparing For a MV Analysis
2 Examining Your Data
3 Factor Analysis
III Dependence Techniques
4 Multiple Regression Analysis
5 Multiple Discriminate Analysis and Logistic Regression
6 Multivariate Analysis of Variance
IV Interdependence Techniques
7 Cluster Analysis
8 Multidimensional Scaling and Correspondence Analysis
V Moving Beyond the Basic Techniques
9 Structural Equation Modeling: Overview
10 Appendix – SEM
10a CFA: Confirmatory Factor Analysis
11 Appendix – CFA
11a SEM: Testing A Structural Model
12 Appendix – SEM
12a Conjoint Analysis
A Basic Stats
ISBN: 9781292021904 ISBN-10: 129202190X Audience:
Tertiary; University or College
Number Of Pages: 740 Published: 27th July 2013 Publisher: Pearson Education Limited Country of Publication: GB Dimensions (cm): 27.7 x 21.6
Weight (kg): 1.6
Edition Number: 7