Artículo: AMZ-B0CZ9PJ143

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

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Paperback

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0.89 kg
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  • 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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