Smartpls book
GuderganĬLICK HERE TO GET BOOK Book Advanced Issues in Partial Least Squares Structural Equation Modeling Description/Summary: Finally, Chapter 13 presents a post-hoc analysis IPMA with graphical and academic interpretation.Īuthor : Joseph F. Chapter 12 presents rule of thumb for the assessment of structural model and academic interpretation of structural model. In structural model assessment five main steps are discussed namely Collinearity, assessing Significance of hypothesised relationships, Coefficient of determination, Effect size analysis and predictive relevance. Moving further, Chapter 7 is started from structural model significance and depicted graphical presentation of structural equation model assessment. Chapter 6 presents academic interpretation of measurement model. Four steps of measurement model are discussed namely Internal Consistency Reliability, Indicator Reliability, Convergent Validity and assessment of Discriminant Validity. Next to this measurement model is discussed in detailed.
The first chapter presents a discussion on selection of CB-SEM or PLS-SEM and also provides rule of thumb in selecting CB-SEM and PLS-SEM. The aim of this book is to provide basic guideline about Structural Equation Modeling (SEM) using SmartPLS. “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.ĬLICK HERE TO GET BOOK Book Structural Equation Modeling Using SmartPLS Description/Summary: Filled with useful illustrations to facilitate understanding, you’ll find this guide a go-to tool when conducting marketing research. 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. Ken Kwong-Kay Wong wrote this reference guide with graduate students and marketing practitioners in mind.
When applied correctly, PLS can be a great alternative to existing covariance-based SEM approaches. 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. 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. CLICK HERE TO GET BOOK Book Mastering Partial Least Squares Structural Equation Modeling (Pls-Sem) with Smartpls in 38 Hours Description/Summary: