Confirmatory Factor Analysis with jamovi: Practical Guide

Validate measurement models and scale structures with confidence using intuitive statistical tools. This written guide provides a step-by-step introduction to Confirmatory Factor Analysis (CFA) using the open-source jamovi environment. You will develop a clear understanding of latent variable modeling, moving from theoretical constructs to model evaluation and reporting. What you'll learn: - Understand core concepts of latent variables, factor loadings, and measurement error - Specify one-factor and multidimensional models within jamovi - Evaluate goodness-of-fit metrics including RMSEA, CFI, TLI, and SRMR - Interpret parameter estimates, factor covariances, and residual correlations - Apply diagnostic checks and explore basic measurement invariance concepts - Format and communicate statistical findings following standard reporting practices The material begins with key definitions and foundational principles of factor analysis before walking through model specification, evaluation metrics, and result interpretation through clear written explanations. This course is tailored for beginners, students, and researchers with basic statistics knowledge who want to master confirmatory factor analysis without complex programming. Start building robust measurement models today.