Applied Multivariate Statistics for the Social Sciences, Fifth Edition

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Contents

This best-selling text is written for those who use, rather than develop, advanced statistical methods. Dr. Stevens focuses on a conceptual understanding of the material rather than proving results.

• 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. Confirmatory and Exploratory Factor Analysis.
• 12. Canonical Correlation.
• 13. Repeated Measures Analysis.
• 14. Categorical Data Analysis: The Log Linear Model.
• 15. N. Beretvas, Hierarchical Linear Modeling.
• 16. L.R. Fabrigar & D.T. Wegener Structural Equation Modeling.
• Appendix A. Statistical Tables.
• Appendix B. Obtaining Nonorthogonal Contrasts in Repeated Measures Designs.
• Answer Section

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