Higher Education

Advanced Business Analytics Using Jamovi and R

Author(s): Munmun Ghosh

ISBN: 9789360539917

1st Edition

Copyright: 2025

₹495

Binding: Paperback

Pages: 312

Trim Size : 241 × 181 mm

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Are you ready to dive deeper into the world of numbers and unlock the secrets they hold? Whether you are a student, researcher, or data analyst, this book is your ultimate guide to mastering advanced statistical and analytical concepts in a simple, jargon-free way.

Building on the solid foundation of Business Statistics: Using Excel, SPSS, and R, this book takes you one step higher, offering easy-to-follow, step-by-step instructions for all the complex analyses like Structural Equation Modelling (SEM), Mediation and Moderation analysis, PLS-SEM, and many more. No more relying on others for validation; this book empowers you to handle advanced statistics confidently!

With a focus on the open-access software JAMOVI and R, you will learn how to use these powerful tools to perform sophisticated analyses without traditional statistical software's steep learning curve. Whether you are a beginner or an experienced user, this book will guide you through practical business cases, helping you translate data into actionable insights. Ready to conquer the numbers? Get your copy now!

  • Learn advanced statistical techniques, such as SEM, Mediation and Moderation analysis, and PLS-SEM, explained in simple, digestible terms.
  • Step-by-step guidance on performing analyses using JAMOVI and R, with practical examples and business cases.
  • Written in a jargon-free, approachable style for learners at all levels, from beginners to advanced users.
  • Explore the power of JAMOVI, a free, intuitive statistical software, and R, the widely used programming language for data analysis, while avoiding the complexity of other traditional tools.
  • Real-world business scenarios and cases will help you apply your knowledge to generate actionable insights.
  • Build competence in statistical analysis and gain the confidence to perform complex analyses independently.

1. Statistical Analysis: An Overview

2. Measurement and Scaling

3. Questionnaire Design

4. Exploratory Factor Analysis

5. Cluster Analysis

6. Multidimensional Scaling

7. Discriminant Analysis

8. Structural Equation Modeling

9. Confirmatory Factor Analysis

10. Mediation and Moderation Analysis

11. Partial Least Squares Structural Equation Modeling (PLS-SEM)

Munmun Ghosh: Associate Professor, Symbiosis Institute of Media and Communication, Symbiosis International (Deemed) University, Pune, India.