Multivariate Data Analysis

Joseph F. Hair, Jr. is Cleverdon Chair of Business at University of South Alabama, USA. He previously held the Copeland Endowed Chair of Entrepreneurship and was Director of the Entrepreneurship Institute at the E.J. Ourso College of Business, Louisiana State University. He was a United States Steel Foundation Fellow at the University of Florida, Gainesville, where he earned his Ph.D. in Marketing. He has authored over 40 books and has published numerous articles in professional journals. He is a Distinguished Fellow of the Academy of Marketing Sciences, the Society for Marketing Advances, and the Southwestern Marketing Association. Barry J. Babin has authored more than 100 research publications in some of today's most prestigious peer-reviewed research periodicals such as the Journal of Marketing, Journal of Consumer Research, Journal of Business Research, Journal of Retailing, Psychology and Marketing, Journal of the Academy of Marketing Science and the International Journal of Wine Business Research. Dr. Babin is currently Phil B. Hardin Professor of Marketing and Chair of the Department of Marketing, Analytics, & Professional Sales in the Ole Miss School of Business Administration. He has won numerous honors for his research, including the Louis K. Brandt Faculty Research Award from the University of Southern Mississippi, Outstanding Researcher in the COB at Louisiana Tech University, the 1996 Society for Marketing Advances (SMA) Steven J. Shaw Award and the 1997 Omerre Deserres Award for Outstanding Contributions to Retail and Service Environment Research. He has also been recognized with the Academy of Marketing Science’s prestigious Harold W. Berkman Distinguished Service Award and the AMS/Vector Marketing Distinguished Marketing Educator Award. Dr. Babin is a past president of the Academy of Marketing Science and the Society for Marketing Advances and has been recognized as a distinguished fellow of both organizations. His research focuses on the effect of the service environment in creating value for employees and customers and on the impact of big data on consumer liberty. He offers expertise in building and understanding value that leads to long-lasting, mutually beneficial relationships with employees and customers. His teaching specialties involve advanced methods of marketing and consumer research and creative problem solving. A frequent international lecturer, he has presented in Australia, South Korea, France, Germany, Mexico, New Zealand, South Africa, Canada, Sweden, Norway, Peru, Israel and the United Kingdom. Dr. Anderson is the Royal H. Gibson Sr. Professor of Business Administration and former Head of the Department of Marketing at Drexel University. He earned his Ph.D. from the University of Florida, and his MBA. and BA degrees from Michigan State University. He is author or co-author of 18 textbooks. His research has been widely published in the major professional journals in his field. Dr. Anderson has been selected twice by Drexel’s LeBow College of Business students to receive the Faculty Appreciation Award, and he isa distinguished fellow in the Center for Teaching Excellence. He serves on the editorial boards of five academic journals and on the Faculty Advisory Board of the Fisher Institute for Professional Selling. Dr. Black is a Professor Emeritus in the Department of Marketing, at the E. J. Ourso College of Business, Louisiana State University (LSU). He received his MBA in 1976 and Ph.D. in 1980, both from the University of Texas at Austin. He held positions at the University of Arizona from 1980 to 1985, and has been at LSU since 1985. He has published numerous articles in professional journals, along with a number of chapters in scholarly books. He is a member of the Editorial Review Board for the Journal of Business Research.

• 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.