Complete eTextbook Content:
Chapter 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)
Name: Multivariate Data Analysis, 8th Edition
Author: Joseph F. Hair, William C. Black, Barry J. Babin, Rolph E Anderson
This is a eBook for the actual textbook of Multivariate Data Analysis, 8th Edition, by Joseph F. Hair, William C. Black, Barry J. Babin, Rolph E Anderson.
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It is exactly same as the actual hardbook. And it is Color Version.
1) A COMPLETE eBook 834 Pages), with all single page and Chapters, Color Version. Same as the original textbook. Comes with PDF file format. Can be read by Adobe Reader.
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