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Advanced Issues in Partial Least Squares Structural Equation Modeling
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Advanced Issues in Partial Least Squares Structural Equation Modeling

2 Revised edition

Book Details

Format Paperback / Softback
ISBN-10 1071862502
ISBN-13 9781071862506
Edition 2 Revised edition
Publisher SAGE Publications Inc
Imprint SAGE Publications Inc
Country of Manufacture GB
Country of Publication GB
Publication Date Jan 29th, 2024
Print length 256 Pages
Weight 424 grams
Dimensions 15.10 x 22.90 x 1.50 cms
Ksh 10,800.00
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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.
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 A Primer on Partial Least Squares Structural Equation Modeling, Third Edition. Even in this advanced guide, the authors have limited the emphasis on equations, formulas, and Greek symbols, and instead rely on detailed explanations of the fundamentals of PLS-SEM and provide general guidelines for understanding and evaluating the results of applying the method. A single study on corporate reputation features as an example throughout the book, along with a single software package (SmartPLS 4.0) to provide a seamless learning experience. The approach of this book is based on the authors’ many years of conducting research and teaching methodology courses, including developing the SmartPLS software. The preparation of the book, especially this new edition, is based on the authors’ desire to communicate the PLS-SEM method to a much broader audience from management and marketing to engineering, geography, medicine, political and environmental sciences, psychology, and beyond. The Second Edition includes a new chapter on the necessary condition analysis (NCA) and covers the most recent developments in PLS-SEM, with detailed guidelines for estimating and validating higher-order constructs and nonlinear effects as well as more insights on multigroup and latent class analyses using FIMIX-PLS and PLS-POS. The book is aimed at researchers and practitioners who seek to gain comprehensive knowledge of more advanced PLS-SEM methods.

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