A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) by Joseph F. Hair, Jr., G. Tomas M. Hult, Christian Ringle, and Marko Sarstedt is a practical guide that provides concise instructions on how to use partial least squares structural equation modeling (PLS-SEM), an evolving statistical technique, to conduct research and obtain solutions. Featuring the latest research, new examples using the SmartPLS software, and expanded discussions throughout, the Second Edition is designed to be easily understood by those with limited statistical and mathematical training who want to pursue research opportunities in new ways.
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“A text that students will find easy to read and enjoyable.” (Toni M. Somers)
Joe F. Hair, Jr. is Professor of Marketing, DBA Director and the Cleverdon Chair of Business in the Mitchell College of Business, University of South Alabama. He previously was Senior Scholar, DBA Program, Coles College of Business, Kennesaw State University, held the Copeland Endowed Chair of Entrepreneurship and was Director, Entrepreneurship Institute, Ourso College of Business Administration, Louisiana State University. He has authored over 60 books, including Multivariate Data Analysis (7th edition, 2010) (cited 140,000+ times), MKTG (10th edition, 2016), Essentials of Business Research Methods (2016), and Essentials of Marketing Research (4th edition, 2017). He also has published numerous articles in scholarly journals and was recognized as the Academy of Marketing Science Marketing Educator of the year. A popular guest speaker, Professor Hair often presents seminars on research techniques, multivariate data analysis, and marketing issues for organizations in Europe, Australia, China, India, and South America.
Christian M. Ringle is a Chaired Professor of Management at the Hamburg University of Technology (Germany) and Conjoint Professor at the Faculty of Business Law at the University of Newcastle (Australia). He holds a master’s degree in business administration from the University of Kansas and received his doctor of philosophy from the University of Hamburg (Germany). His widely published research addresses the management of organizations, strategic and human resource management, marketing, and quantitative methods for business and market research. He is cofounder of SmartPLS (http://www.smartpls.com), a software tool with a graphical user interface for the application of the partial least squares structural equation modeling (PLS-SEM) method. Besides supporting consultancies and international corporations, he regularly teaches doctoral seminars on multivariate statistics, the PLS-SEM method, and the use of SmartPLS worldwide. More information about Christian M. Ringle and his full list of publications can be found at http://www.tuhh.de/hrmo/team/prof-dr-c-m-ringle.html.
Marko Sarstedt is Chaired Professor of Marketing at the Otto-von-Guericke-University Magdeburg (Germany) and Conjoint Professor to the Faculty of Business and Law at the University of Newcastle (Australia). He previously was an Assistant Professor of Quantitative Methods in Marketing and Management at the Ludwig-Maximilians-University Munich (Germany). His main research is in the application and advancement of structural equation modeling methods to further the understanding of consumer behavior and to improve marketing decision-making. His research has been published in journals such as Journal of Marketing Research, Journal of the Academy of Marketing Science, Organizational Research Methods, MIS Quarterly, International Journal of Research in Marketing, Long Range Planning, Journal of World Business, and Journal of Business Research. According to the Handelsblatt ranking, Sarstedt is among the top three young academic marketing researchers in Germany. He regularly teaches doctoral seminars on multivariate statistics, structural equation modeling, and measurement worldwide.
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Paperback. Condizione: new. Paperback. The authors explain the statistical modeling technique and the fundamental aspects of the methods in a straightforward manner that is accessible to individuals with limited statistical and mathematical training. They clarify the nature and role of PLS-SEM in social sciences research that allows researchers to pursue research in new and different ways. In order to facilitate learning, a single case study has been used throughout the book. Changes in the 2nd edition include:an overview of the latest research on composite-based modellingmore coverage of the distinction between PLS-SEM and CB-SEMintroduction of a new criterion for discrimination validity assessmentrevision and extension of the chapter on mediationextended description of moderationa brief introduction to some more advanced techniques Written with those with limited mathematical and statistical knowledge in mind, this concise and practical guide helps researchers to do their research in new and alternative ways. Shipping may be from multiple locations in the US or from the UK, depending on stock availability. Codice articolo 9781483377445
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