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Advanced Issues in Partial Least Squares Structural Equation Modeling

Autor Christian M. Ringle, Joe Hair, Marko Sarstedt, Siegfried P. Gudergan
en Limba Engleză Paperback – 28 ian 2024
The Second Edition of Advanced Issues in Partial Least Squares Structural Equation Modeling offers a straightforward and practical guide to PLS-SEM for users ready to go further than the basics of the Primer by the same author team. This brief text features the newly-released SmartPLS 4 software. 
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Specificații

ISBN-13: 9781071862506
ISBN-10: 1071862502
Pagini: 256
Dimensiuni: 150 x 229 x 15 mm
Greutate: 0.42 kg
Ediția:2 Revised edition
Editura: Sage Publications, Inc

Cuprins

Chapter 1: An Overview of Recent and Emerging Developments in PLS-SEM
Chapter 2: Higher-order Constructs
Chapter 3: Advanced Modeling and Model Assessment
Chapter 4: Advanced Results Illustration
Chapter 5: Modeling Observed Heterogeneity
Chapter 6: Modeling Unobserved Heterogeneity

Notă biografică

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.