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

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.

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