Multivariate data analysis
For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. This text provides an applications-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental co...
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| Language: | English |
| Published: |
England:
Pearson Education Limited,
c2014.
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| Edition: | 7th ed. |
| Subjects: |
Table of Contents:
- 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. Analysis nominal data with correspondence analysis
- 11. Structural equations modeling overview
- 12. Confirmatory factor analysis
- 13. Testing structural equations models