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A step-by-step guide to SMARTPLS 4: Data analysis using PLS-SEM, CB-SEM, Process and Regression
A step-by-step guide to SMARTPLS 4: Data analysis using PLS-SEM, CB-SEM, Process and Regression
Readers could easily learn the methods of data analysis using SMARTPLS 4 through... 14 new research examples.
A step-by-step guide to SMARTPLS 4: Data analysis using PLS-SEM, CB-SEM, Process and Regression
Item #: 249135162

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

Item #: 249135162

PHP 5238

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Shop A step-by-step guide to SMARTPLS 4: Data analysis using PLS-SEM, CB-SEM, Process and Regression online at a best price in Philippines. B0CZ9PJ143
  • 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 model2. Analyzing a PLS-SEM model with a mixture of reflective and formative models3. Analyzing a PLS-SEM model for mediating effect and moderating effect4. Analyzing a complex model with SMARTPLS-SEM for cross-field prediction5. Establishing a research instrument using confirmatory factor analysis (CFA)6. Analyzing a regression model using CB-SEM7. Analyzing the effect of a CB-SEM two-order model in a mediation model8. Analyzing a non-recursive mediation model using CB-SEM9. Analyzing a mediated moderation model by controlling a covariate using PROCESS10. Validating a moderated mediation model by controlling a covariate using PROCESS11. Analyzing a multiple necessary condition model12. Combining PLS-SEM and NCA in analyzing a multiple-indicators necessary condition model13. Predicting the effects in a multiple logistic regression model14. Analyzing the effects in a multiple linear regression modelThis 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 Independently published
Publication date 28 Mar. 2024
Language English
Print length 486 pages
ISBN-13 979-8320423203
Item weight 812 g
Dimensions 15.24 x 2.79 x 22.86 cm

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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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