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A step-by-step guide to SMARTPLS 4: Data analysis using PLS-SEM, CB-SEM, Process and Regression

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Description

This book is the second book or a continuation of the book "A step-by-step guide: PLS-SEM data analysis using SMARTPLS 4". It covers step-by-step guides to data analysis using SMARTPLS 4 for four latest data analysis methods, which are PLS-SEM, CB-SEM, PROCESS, and REGRESSION. It discusses in detail the concepts of the methods before presenting step-by-step data analysis on 14 new research examples. Readers could easily learn the methods of data analysis using SMARTPLS 4 through the following research examples: 1. Analyzing a reflective PLS-SEM model 2. Analyzing a PLS-SEM model with a mixture of reflective and formative models 3. Analyzing a PLS-SEM model for mediating effect and moderating effect 4. Analyzing a complex model with SMARTPLS-SEM for cross-field prediction 5. Establishing a research instrument using confirmatory factor analysis (CFA) 6. Analyzing a regression model using CB-SEM 7. Analyzing the effect of a CB-SEM two-order model in a mediation model 8. Analyzing a non-recursive mediation model using CB-SEM 9. Analyzing a mediated moderation model by controlling a covariate using PROCESS 10. Validating a moderated mediation model by controlling a covariate using PROCESS 11. Analyzing a multiple necessary condition model 12. Combining PLS-SEM and NCA in analyzing a multiple-indicators necessary condition model 13. Predicting the effects in a multiple logistic regression model 14. Analyzing the effects in a multiple linear regression model This 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.

Product Specifications

Format
Paperback
Domain
Amazon UK
Release Date
28 March 2024
Listed Since
28 March 2024

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