Description
Book SynopsisTable of ContentsChapter 1 Overview of Multivariate Methods Section 1: Preparing for Multivariate Analysis Chapter 2: Examining Your Data Section 2: Interdependence Techniques Chapter 3: Exploratory Factor Analysis Chapter 4: Cluster Analysis Section 3: Dependence Techniques Chapter 5: Multiple Regression Chapter 6: MANOVA: Extending ANOVA Chapter 7: Discriminant Analysis Chapter 8: Logistic Regression: Regression with a Binary Dependent Variable Section 4: Moving Beyond the Basic Techniques Chapter 9: Structural Equation Modeling: An Introduction Chapter 10: Confirmatory Factor Analysis Chapter 11: Testing Structural Equation Models Chapter 12: Advanced Topics in SEM Chapter 13: Partial Least Squares Modeling (PLS-SEM) In addition to the chapters in the print book, e-copies of all other chapters in the previous editions are available to download on the companion website, including canonical correlation, conjoint analysis, multidimensional scaling, and correspondence analysis.
