Transforming Scores into Categories in Jamovi

Converting raw continuous scores into structured categories is an essential skill for accurate data preparation and statistical analysis. This text-based course guides you through the process of binning, recoding, and restructuring variables within Jamovi to make your datasets ready for analysis. You will begin with core measurement theory and essential terminology before working through practical, written data transformation procedures. What you'll learn: - Understand the fundamentals of measurement scales, distinguishing continuous, ordinal, and nominal data - Create computed and transformed variables directly within the Jamovi interface - Apply logical conditions and threshold rules to bin numerical scores into distinct categories - Handle missing data and boundary edge cases during the variable recoding process - Verify and audit transformed datasets using descriptive summaries to ensure data accuracy The material starts with foundational concepts and variable types, followed by clear written guides on constructing transformation rules and verifying results. This course is tailored for beginners, students, and researchers looking to organize their data efficiently in Jamovi, with no prior statistical programming background required. Start reading to build reliable data transformation skills in Jamovi.