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OverviewFull Product DetailsAuthor: Mehmet Mehmetoglu (Norwegian University of Science & Technology, Trondheim, Norway) , Sergio Venturini (Department of Decision Sciences, Bocconi University, Milan)Publisher: Taylor & Francis Ltd Imprint: Chapman & Hall/CRC Weight: 0.580kg ISBN: 9780367701833ISBN 10: 0367701839 Pages: 347 Publication Date: 29 August 2022 Audience: College/higher education , General/trade , Tertiary & Higher Education , General Format: Paperback Publisher's Status: Active Availability: In Print  This item will be ordered in for you from one of our suppliers. Upon receipt, we will promptly dispatch it out to you. For in store availability, please contact us. Table of ContentsPart I Preliminaries and Basic Methods 1. Framing Structural Equation Modelling 2. Multivariate Statistics Prerequisites 3. PLS Structural Equation Modelling: Specification and Estimation 4. PLS Structural Equation Modelling: Assessment and Interpretation Part II Advanced Methods 5. Mediation AnalysisWith PLS-SEM 6. Moderating/Interaction Effects Using PLS-SEM 7. Detecting Unobserved Heterogeneity in PLS-SEM Part III Conclusions 8. How to Write Up a PLS-SEM Study Part IV Appendices A. Basic Statistics PrerequisitesReviews...This is certainly a welcome addition to the capability of Stata, and moreover, this book also includes sections on the use of packages in R software for PLS structural equation modeling...this book takes a balanced approach to presenting the statistical theory of PLS structural equationmodeling and its practical applications. The mathematical level is not high but is higher thanmost books on PLS structural equation modeling...this book will be useful for users of other software with an interest in getting a grasp of statistical theory behind PLS structural equation modeling. It is comprehensive and also accessible. Anyone who is seriously thinking of using PLS structural equation modeling for their research should carefully read through this book before embarking on their first analysis. - Yu-Kang Tu, Biometrics, July 2021 The book is a very good guide for researchers in the field of structural equation modelling with partial least squares, for both beginners and professionals using Stata and R. - Taras Lukashiv, International Society for Clinical Biostatistics, 72, 2021 Author InformationMehmet Mehmetoglu is a professor of research methods in the Department of Psychology at the Norwegian University of Science and Technology (NTNU). His research interests include consumer psychology, evolutionary psychology and statistical methods. Mehmetoglu has co/publications in about 30 different refereed international journals such as Journal of Statistical Software, Personality and Individual Differences, and Evolutionary Psychological Science. Sergio Venturini is an Associate Professor of Statistics in the Management Department at the Università degli Studi di Torino (Italy). His research interests include Bayesian data analysis methods, meta-analysis and statistical computing. He coauthored many publications that have been published in different refereed international journals such as Annals of Applied Statistics, Bayesian Analysis and Journal of Statistical Software. Tab Content 6Author Website:Countries AvailableAll regions |
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