Multivariate Data Analysis – Ebook PDF Instant Delivery – ISBN(s): 9781473756540,9781473756694,1473756545,1473756693
Product details:
- ISBN-10 : 1473756545
- ISBN-13 : 978-1473756540
- Author: Rolph Anderson
For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. The eighth edition of Multivariate Data Analysis provides an updated perspective on the analysis of all types of data as well as introducing some new perspectives and techniques that are foundational in today’s world of analytics. Multivariate Data Analysis serves as the perfect companion for graduate and postgraduate students undertaking statistical analysis for business degrees, providing an application-oriented introduction to multivariate analysis for the non-statistician. By reducing heavy statistical research into fundamental concepts, the text explains to students how to understand and make use of the results of specific statistical techniques.
Table of contents:
CHAPTER 1: OVERVIEW OF MULTIVARIATE METHODS
SECTION I: PREPARING FOR MULTIVARIATE ANALYSIS
Chapter 2: Examining Your Data
SECTION II: INTERDEPENDENCE TECHNIQUES
Chapter 3: Exploratory Factor Analysis
Chapter 4: Cluster Analysis
SECTION III: DEPENDENCE TECHNIQUES – METRIC OUTCOMES
Chapter 5: Multiple Regression Analysis
Chapter 6: MANOVA: Extending ANOVA
SECTION IV: DEPENDENCE TECHNIQUES – NON-METRIC OUTCOMES
Chapter 7: Multiple Discriminant Analysis
Chapter 8: Logistic Regression: Regression with a Binary Dependent Variable
SECTION V: MOVING BEYOND THE BASICS
Chapter 9: Structural Equation Modeling: An Introduction
Chapter 10: SEM: Confirmatory Factor Analysis
Chapter 11: Testing Structural Equation Models
Chapter 12: Advanced SEM Topics
Chapter 13: Partial Least Squares Structural Equation Modeling (PLS-SEM)
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