Data Entry and Management in Jamovi

Accurate data entry and thoughtful variable setup form the foundation of any reliable statistical research. This text-based guide takes you through the essentials of managing datasets in Jamovi, helping you move from raw observations to structured data ready for analysis. You will read clear explanations and work through structured written examples to build your confidence in statistical data management. What you'll learn: - Understand essential statistical terminology and measurement levels used across data software - Configure variable types correctly, including nominal, ordinal, and continuous measures - Enter and format raw data rows and columns directly within the Jamovi interface - Import existing datasets from standard formats like CSV and spreadsheet files - Recode values, compute new variables, and handle missing data systematically - Prepare and audit tidy datasets ready for descriptive and inferential statistics The material begins with fundamental concepts of data organization and variable properties before moving step-by-step through practical entry techniques, data transformations, and validation best practices. This course is designed for absolute beginners, students, and researchers with no prior experience in Jamovi or statistical software. Begin reading to master the essentials of preparing clean research data in Jamovi.