TY  - BOOK
AU  - Hair, Jr. Joseph F.
TI  - Multivariate data analysis
SN  - 97893501358
U1  - R 519.535 MUL Ed8 
PY  - 2021///
CY  - New Delhi
PB  - Cengage
KW  - Multivariate analysis
KW  - Data processing
N1  - 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)

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.

Includes index
ER  -