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Advanced Issues in Partial Least Squares Structural Equation Modeling Joe Hair

Advanced Issues in Partial Least Squares Structural Equation Modeling By Joe Hair

Advanced Issues in Partial Least Squares Structural Equation Modeling by Joe Hair


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Summary

A practical and applied text on PLS-SEM that combines simple explanations of complex statistical concepts with examples and case studies that readers can follow using datasets available with the book.

Advanced Issues in Partial Least Squares Structural Equation Modeling Summary

Advanced Issues in Partial Least Squares Structural Equation Modeling by Joe Hair

Written as an extension of A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM) Second Edition, this easy-to-understand, practical guide covers advanced content on PLS-SEM to help students and researchers apply techniques to research problems and accurately interpret results. The book provides a brief overview of basic concepts before moving to the more advanced material. Offering extensive examples on SmartPLS 3 software and accompanied by free downloadable data sets, the book emphasizes that any advanced PLS-SEM approach should be carefully applied to ensure that it fits the appropriate research context and the data characteristics that underpin the research.

About Joe Hair

Joseph F. Hair, Jr.is Professor of Marketing, PhD Director, and the Cleverdon Chair of Business in the Mitchell College of Business, University of South Alabama, USA. He previously held the Copeland Endowed Chair of Entrepreneurship and was Director, Entrepreneurship Institute, Ourso College of Business Administration, Louisiana State University. He has authored over 95 books, including Multivariate Data Analysis (8th edition, 2019) (cited 170,000+ times), MKTG (13th edition, 2019), Essentials of Business Research Methods, 5th edition, 2023), and Essentials of Marketing Research (6th edition, 2023). Dr. Hair is the most highly cited scholar in PLS-SEM and marketing, with 340,000+ citations (Google Scholar, 2023). 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. Marko Sarstedt is Professor of Marketing at the Ludwig-Maximilians-University Munich (Germany) and an adjunct research professor at Babe?-Bolyai-University Cluj-Napoca (Romania). His main research interest is the advancement of research methods to further the understanding of consumer behavior. His research has been published in Nature Human Behaviour, Journal of Marketing Research, Journal of the Academy of Marketing Science, Multivariate Behavioral Research, Organizational Research Methods, MIS Quarterly, British Journal of Mathematical and Statistical Psychology, and Psychometrika, among others. His research ranks among the most frequently cited in the social sciences with more than 100,000 citations according to Google Scholar. Marko has won numerous best paper and citation awards, including five Emerald Citations of Excellence awards and two AMS William R. Darden Awards. Marko has been repeatedly named member of Clarivate Analytics' Highly Cited Researchers List. In March 2022, he was awarded an honorary doctorate from Babe?-Bolyai-University Cluj-Napoca for his research achievements and contributions to international exchange. Christian M. Ringle is Professor of Management at the Hamburg University of Technology (Germany). His research addresses management of organizations, human resource management, methods development for business analytics and their application to business research. His contributions in these fields have been published in journals such as International Journal of Research in Marketing, Information Systems Research, Journal of the Academy of Marketing Science, MIS Quarterly, Organizational Research Methods, and The International Journal of Human Resource Management. Since 2018, he has been named member of Clarivate Analytics' Highly Cited Researchers List. In 2014, Ringle co-founded 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 business analytics and multivariate statistics, the PLS-SEM method, and the use of SmartPLS worldwide. More information about Professor Dr. Christian M. Ringle can be found at https://www.tuhh.de/hrmo/team/prof-dr-c-m-ringle.html. Siegfried P. Gudergan is Professor of Strategy within James Cook University in Australia. He also is a Visiting Distinguished Professor at Aalto University in Finland, Visiting Professor at Vienna University of Economics and Business (WU Wien) in Austria, and Emeritus Professor at the University of Waikato in New Zealand. He holds a PhD in Management from the Australian Graduate School of Management that was awarded by both the University of Sydney and the University of New South Wales in Australia, and a degree in Business and Economics from RWTH-Aachen University in Germany. His research has been published in leading management, strategy, and marketing journals, and is recognized internationally. Some of his PhD students have won awards from the Academy of Management and Strategic Management Society. He has various board and professional roles, and has consulted to or worked with numerous organizations, including start-ups and large multinational companies.

Table of Contents

Preface About the Authors Chapter 1: An Overview of Recent and Emerging Developments in PLS-SEM Chapter Preview Origins and Evolution of Partial Least Squares Structural Equation Modeling Measurement Model Estimation PLS-SEM or CB-SEM? Organization of the Remaining Chapters Case Study Illustration Summary Review Questions Critical Thinking Questions Key Terms Suggested Readings Chapter 2: Advanced Modeling Chapter Preview Hierarchical Component Models Nonlinear Relationships Summary Review Questions Critical Thinking Questions Key Terms Suggested Readings Chapter 3: Advanced Model Assessment Chapter Preview Confirmatory Tetrad Analysis Importance-Performance Map Analysis Summary Review Questions Critical Thinking Questions Key Terms Suggested Readings Chapter 4: Modeling Observed Heterogeneity Chapter Preview Observed and Unobserved Heterogeneity Testing Measurement Model Invariance Nonparametric Tests Case Study Illustration-Invariance Assessment and Multigroup Analysis Summary Review Questions Critical Thinking Questions Key Terms Suggested Readings Chapter 5: Modeling Unobserved Heterogeneity Chapter Preview Case Study Illustration-Latent Class Analysis Summary Review Questions Critical Thinking Questions Key Terms Suggested Readings Glossary References Author Index Subject Index

Additional information

NPB9781483377391
9781483377391
1483377393
Advanced Issues in Partial Least Squares Structural Equation Modeling by Joe Hair
New
Paperback
SAGE Publications Inc
2017-06-28
272
N/A
Book picture is for illustrative purposes only, actual binding, cover or edition may vary.
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