A Step By Step Guide Pls Sem Data Analysis Using Smartpls 4
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A Step-by-step Guide PLS-SEM Data Analysis Using SmartPLS 4
"This book focuses on step-by-step practical guides for PLS-SEM data analysis using the SmartPLS 4, including 1. Analyzing mediation models, 2. Analyzing moderation models using the two-stage approach, 3. Analyzing moderating effects using the multigroup analysis, 4. Analyzing multiple-order models, and 5. Analyzing formative models. Concepts are explained in detail with 11 step-by-step hands-on research examples to enable readers to carry out confidently each stage of the research and the PLS-SEM data analysis process: Analyzing the effects in a mediation model. Analyzing the effects in a sequential mediation model. Analyzing the effects in a parallel mediation model. Analyzing the moderating effect of a single-moderator. Analyzing the moderating effect on a mediation model (two-stage approach). Analyzing the moderating effect on a mediation model (multigroup analysis). Analyzing the moderating effects on a multiple regression model. Analyzing the mediating effect of a reflective-reflective two-order model. Analyzing the effects of a reflective-formative two-order model in a multivariate model. Analyzing the effect of a single-order formative model. Analyzing the effect of a formative-formative two-order model. The book is a useful teaching and learning tool for research courses. Exercises are provided at the end of each chapter to reinforce readers’ understanding of the chapter."--Publisher's description.
Mastering Partial Least Squares Structural Equation Modeling (Pls-Sem) with Smartpls in 38 Hours
Partial least squares is a new approach in structural equation modeling that can pay dividends when theory is scarce, correct model specifications are uncertain, and predictive accuracy is paramount. Marketers can use PLS to build models that measure latent variables such as socioeconomic status, perceived quality, satisfaction, brand attitude, buying intention, and customer loyalty. When applied correctly, PLS can be a great alternative to existing covariance-based SEM approaches. Dr. Ken Kwong-Kay Wong wrote this reference guide with graduate students and marketing practitioners in mind. Coupled with business examples and downloadable datasets for practice, the guide includes step-by-step guidelines for advanced PLS-SEM procedures in SmartPLS, including: CTA-PLS, FIMIX-PLS, GoF (SRMR, dULS, and dG), HCM, HTMT, IPMA, MICOM, PLS-MGA, PLS-POS, PLSc, and QEM. Filled with useful illustrations to facilitate understanding, you'll find this guide a go-to tool when conducting marketing research. "This book provides all the essentials in comprehending, assimilating, applying and explicitly presenting sophisticated structured models in the most simplistic manner for a plethora of Business and Non-Business disciplines." - Professor Siva Muthaly, Dean of Faculty of Business and Management at APU.
A Primer on Partial Least Squares Structural Equation Modeling (PLS-SEM)
Author: Joseph F. Hair, Jr.
language: en
Publisher: SAGE Publications
Release Date: 2016-02-29
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.