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Master data analysis with this comprehensive guide to SMARTPLS 4, covering PLS-SEM, CB-SEM, and more.

Description

This engaging book serves as a vital resource for anyone interested in mastering data analysis using SMARTPLS 4. As a continuation of ‘A Step-by-Step Guide: PLS-SEM Data Analysis Using SMARTPLS 4,’ this edition delves deeper into four of the latest data analysis methods: PLS-SEM, CB-SEM, PROCESS, and REGRESSION. The author expertly guides readers through each method, ensuring a thorough understanding before presenting practical applications through 14 new research examples.

The book is structured to facilitate learning, making it suitable for both students and professionals. Each chapter begins with a clear explanation of the concepts related to the method being discussed. Subsequently, readers are presented with step-by-step data analysis processes that illustrate how to apply these methods in real-world scenarios.

Data Analysis Method Research Examples
PLS-SEM 1. Analyzing a reflective PLS-SEM model
2. Mixed reflective and formative models
3. Mediating and moderating effects analysis
CB-SEM 4. Regression analysis
5. Two-order mediation model
6. Non-recursive mediation model
PROCESS 7. Mediated moderation model
8. Moderated mediation model validation
Regression 9. Multiple logistic regression
10. Multiple linear regression

With practical exercises at the end of each chapter, readers can reinforce their understanding of the material. This book not only serves as an educational tool but also as a reference guide for conducting rigorous research. Whether you are a student taking research courses or a professional looking to enhance your analytical skills, this book will equip you with the knowledge needed to effectively utilize SMARTPLS 4 for data analysis.

As you journey through the pages, expect to gain insights into establishing research instruments through confirmatory factor analysis (CFA) and learn how to analyze complex models for cross-field prediction. The author’s clear and concise writing style makes even the most complex topics accessible, ensuring that readers can follow along and apply the concepts to their own research endeavors.

Overall, ‘A Step-by-Step Guide to SMARTPLS 4’ is an essential addition to any researcher’s library. It is designed to empower readers with the skills and knowledge necessary to navigate the intricacies of modern data analysis techniques. By the end of this book, you will feel confident in your ability to tackle various data analysis challenges using SMARTPLS 4.

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