This textbook aims to Learn to conduct numerous types of multivariate statistical analyses ; Find the best technique to use ; Understand Limitations to applications and to Learn how to use SPSS and SAS syntax and output
Table of Contents
Appendix: Statistical Tables. -- Appendix: Research Designs for Complete Examples -- Appendix: A Skimpy Introduction to Matrix Algebra -- 1. Introduction -- 2. A Guide to Statistical Techniques -- 3. Review of Univariate and Bivariate Statistics -- 4. Cleaning Up Your Act -- 5. Multiple Regression -- 6. Analysis of Covariance -- 7. Multivariate Analysis of Variance and Covariance -- 8. Profile Analysis: The Multivariate Approach to Repeated Measures -- 9. Discriminant Analysis -- 10. Logistic Regression -- 11. Survival/Failure Analysis -- 12. Canonical Correlation -- 13. Principal Components and Factor Analysis -- 14. Structural Equation Modeling -- 15. Multilevel Linear Modeling -- 16. Multiway Frequency Analysis -- 17. Time-Series Analysis -- 18. An Overview of the General Linear Model -- Index.
