Applied multivariate statistics for the social sciences/
James P. Stevens
- 5th ed.
- New York: Routledge, c2009.
- xii, 651 p. :
1. Introduction 2. Matrix Algebra 3. Multiple Regression 4. Two-Group Multivariate Analysis of Variance 5. K-Group MANOVA: A Priori and Post Hoc Procedures 6. Assumptions in MANOVA 7. Discriminant Analysis 8. Factorial Analysis of Variance 9. Analysis of Covariance 10. Stepdown Analysis 11. Exploratory and Confirmatory Factor Analysis 12. Canonical Correlation 13. Repeated Measures Analysis 14. Categorical Data Analysis: The Log Linear Mode l 15. Hierarchical Linear Modeling 16. Structural Equation Modeling. A