• Unique “Rule of Thumb” feature helps students learn how to best use different techniques.
• Assumes that students will come from a business, rather than mathematics, background. The authors use non-complex language to make complex techniques accessible.
• Provides an application-oriented introduction to multivariate analysis for the non-statistician.
• Aimed at students taking postgraduate and high-level graduate degrees across all the business areas.
• New chapter on partial least squares structural equation modeling (PLS-SEM), an emerging technique which can be applied by researchers in both the academic and business domains.
• Each chapter highlights the implications of Big Data, underlining the role of multivariate data analysis in this new era of analytics.
• Extended discussions of emerging topics, including causal treatments/inference (i.e. causal analysis of non-experimental data as well as propensity score models) along with multi-level and panel data models (extending regression into new research areas and providing a framework for cross-sectional/time-series analysis).
• Each chapter has been updated to reflect technical improvements, (for example adding material on multiple imputation for missing data treatments, and the merging of basic principles from the fields of data mining and its applications).
• The chapters on SEM have been updated to include: greater emphasis on psychometrics and scale development, discussions on the use of reflective versus formative scaling, an alternative approach for handing interactions (orthogonal moderators), higher order models, multi-group analyses, Bayesian SEM, and revised information on software availability (e.g. Lavaan and SmartPLS). The multi-group discussion also includes an alternative to partial metric invariance when cross-group variance problems are small.
• Online resources for researchers including continued coverage from past editions of all of the analyses from the latest versions of both SAS and SPSS (commands and outputs).

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.

Joseph F Hair, University of South Alabama

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, Louisiana Tech University

Barry J. Babin has authored over 70 research publications in some of the most prestigious research periodicals, including the JOURNAL OF MARKETING, THE JOURNAL OF CONSUMER RESEARCH, THE JOURNAL OF BUSINESS RESEARCH, THE JOURNAL OF RETAILING, PSYCHOLOGICAL REPORTS, PSYCHOLOGY AND MARKETING, and THE JOURNAL OF THE ACADEMY OF MARKETING SCIENCE, among others. Babin is currently Max P. Watson, Jr., Professor of Business and chair of the department of marketing and analysis at Louisiana Tech University. He has won numerous honors for his research, including the Louis K. Brandt Faculty Research Award from the University of Southern Mississippi (on three occasions), the 1996 Society for Marketing Advances (SMA) Steven J. Shaw Award, the 1997 Omerre Deserres Award for Outstanding Contributions to Retail and Service Environment Research, and the Academy of Marketing Science’s Harold W. Berkman Distinguished Service Award. He is a former president of the Academy of Marketing Sciences and the Society of Marketing Advances, and he currently serves the marketing editor for the JOURNAL OF BUSINESS RESEARCH. Babin’s research focuses on the effect of the service environment in creating value for employees and customers. His expertise is in building and understanding value that leads to long-lasting, mutually beneficial relationships with employees and customers. His primary teaching specialities involve consumers and service quality, marketing research, and creative problem solving. A frequent international lecturer, he has presented in Australia, South Korea, France, Germany, New Zealand, South Africa, Canada, Sweden, and the United Kingdom.

Rolph E. Anderson, Drexel University

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.

William C. Black

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.