Hair 2014 Multivariate Data Analysis
Suk Harian
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 specialties 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 Anderson (PhD, University of Florida) is the Royal H. Gibson Sr. Professor of Business and former head of the Department of Marketing at Drexel University. He earned his MBA and BA degrees from Michigan State University. Dr. Anderson's research has been widely published in the major journals in his field. He was the inaugural recipient of the "Excellence in Sales Scholarship" award from the American Marketing Association Sales SIG, and also received the "Excellence in Faculty Research" award from Drexel's LeBow College of Business. He has authored or co-authored several books in the areas of personal selling, sales management, and multivariate data analysis.
Most business problems involve many variables. Managers look at multiple performance measures and related metrics when making decisions. Consumers evaluate many characteristics of products or services in deciding which to purchase. Multiple factors influence the stocks a broker recommends. Restaurant patrons consider many factors in deciding where to dine. As the world becomes more complex, more factors influence the decisions managers and customers make. Thus, increasingly business researchers, as well as managers and customers, must rely on more sophisticated approaches to analyzing and understanding data.
Analysis of data has previously involved mostly univariate and bivariate approaches. Univariate analysis involves statistically testing a single variable, while bivariate analysis involves two variables. When problems involve three or more variables they are inherently multidimensional and require the use of multivariate data analysis. For example, managers trying to better...
For over 30 years, this text has provided students with the information they need to understand and apply multivariate data analysis. Hair, et. al provides an applications-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. In this seventh revision, the organization of the chapters has been greatly simplified. New chapters have been added on structural equations modeling, and all sections have been updated to reflect advances in technology, capability, and mathematical techniques.
Statistics and statistical research can provide managers with invaluable data. This textbook teaches them the different kinds of analysis that can be done and how to apply the techniques in the workplace.
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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, 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.
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.
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