Friedman Test in Jamovi for Statistical Analysis

Analyzing ordinal data or non-normally distributed repeated measurements can be challenging without the right statistical tools. This text-based course guides you through conducting the Friedman test in Jamovi, offering a straightforward approach to non-parametric repeated measures analysis. You will understand when to choose the Friedman test over parametric alternatives, how to prepare and format your dataset, and how to clearly interpret your statistical findings for reports or research papers. What you will learn: - Understand the core principles, assumptions, and terminology behind non-parametric repeated measures - Prepare and structure paired and repeated measures datasets correctly in Jamovi - Execute the Friedman rank sum test step by step - Conduct and evaluate pairwise post-hoc comparisons using Durbin-Conover or Wilcoxon methods - Interpret test statistics, degrees of freedom, and p-values accurately - Apply modern reporting standards to present statistical outcomes clearly The course begins with foundational statistical definitions before moving into data preparation, step-by-step test execution, and result interpretation. This course is designed for students, researchers, and data professionals who want a practical understanding of non-parametric testing without advanced mathematics prerequisites. Start reading today to build practical statistical analysis skills with Jamovi.