📚 Save Big on Books! Enjoy 10% off when you spend £100 and 20% off when you spend £200 (or the equivalent in supported currencies)—discount automatically applied when you add books to your cart before checkout! 🛒

Copyright

Danielle Navarro; David Foxcroft;

Published On

2025-01-15

Page Range

pp. 45–56

Language

  • English

Print Length

12 pages

3. Getting started with jamovi

Chapter 3 of the book introduces readers to the statistical software jamovi, guiding them through the initial steps of downloading, installing, and familiarising themselves with its interface. The chapter emphasises the advantages of using jamovi for statistical analysis, including its user-friendly design, compatibility with the R statistical programming language, and open-source nature, which helps avoid the constraints of costly proprietary software. A significant portion of the chapter is devoted to exploring jamovi’s graphical user interface, with explanations on managing datasets, working with variables, and understanding the program's layout. Readers are introduced to basic operations such as entering data, importing various file formats, and using jamovi's features to manipulate and configure variables.

In addition, the chapter highlights practical aspects like installing add-on modules, handling uncommon data file formats, and saving work effectively. It also discusses the benefits of jamovi's APA-styled outputs, its integration with R syntax, and its utility for computed variables, making it a powerful tool for data analysis. While the focus remains on operational familiarity rather than statistical concepts, the chapter lays a robust foundation for users to navigate jamovi confidently and prepares them for subsequent chapters that delve deeper into statistical methodologies and analyses.