Data Entry and Variable Management in Jamovi

Accurate statistical analysis starts with properly structured data and correctly defined variables. This text-based course guides you through the fundamentals of dataset preparation and variable configuration using Jamovi, the modern open-source statistical spreadsheet. You will begin with essential terminology, learning how measurement scales, data types, and coding systems shape the analyses you can perform. Step by step, you will read through clear explanations and structured examples showing how to set up, clean, and manage research data effectively. What you'll learn: - Understand core statistical terminology, data types, and measurement levels including nominal, ordinal, and continuous - Configure variable names, descriptions, and value labels correctly in Jamovi - Create computed and transformed variables using built-in formulas and logical expressions - Handle missing data, recode entries, and clean raw datasets for research - Apply tidy data principles to structure spreadsheets for reproducible analysis - Import and export datasets across standard file formats seamlessly The course begins with fundamental definitions and interface navigation before moving into practical data manipulation techniques and real-world preparation scenarios. Designed specifically for beginners, students, and researchers, this course requires no previous statistical software experience. Start reading to build reliable data preparation skills in Jamovi today.