Multivariate Data Analysis | Hair, Joseph; Black, William; Anderson, Rolph; Babin, Barry

Lange Beschreibung
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.

Inhaltsverzeichnis
Chapter 1 Overview of Multivariate MethodsSection 1: Preparing for Multivariate AnalysisChapter 2: Examining Your DataSection 2: Interdependence TechniquesChapter 3: Exploratory Factor AnalysisChapter 4: Cluster AnalysisSection 3: Dependence TechniquesChapter 5: Multiple RegressionChapter 6: MANOVA: Extending ANOVAChapter 7: Discriminant AnalysisChapter 8: Logistic Regression: Regression with a Binary Dependent VariableSection 4: Moving Beyond the Basic TechniquesChapter 9: Structural Equation Modeling: An IntroductionChapter 10: Confirmatory Factor AnalysisChapter 11: Testing Structural Equation ModelsChapter 12: Advanced Topics in SEMChapter 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.