CFA, SEM & Mediation Using AMOS | Complete Data Analysis Step-by-Step with Real Data

Learn how to perform Confirmatory Factor Analysis (CFA) and Structural Equation Modelling (SEM) using IBM SPSS AMOS with a real dataset. In this practical tutorial, I demonstrate the complete CFA and SEM analysis process using Public Teacher Burnout dataset. The model examines Teacher Self-Concept (TSC) and Teacher Efficacy (TE) in relation to three dimensions of teacher burnout: Emotional Exhaustion (EE), Depersonalization (DP), and Reduced Personal Accomplishment (RPA). Topics covered in this tutorial: ✔ Building the CFA measurement model in AMOS ✔ Factor loadings and model evaluation ✔ Model fit indices: CMIN/DF, CFI, SRMR, RMSEA & PClose ✔ Composite Reliability (CR) and Average Variance Extracted (AVE) ✔ Convergent and discriminant validity ✔ HTMT analysis ✔ Structural Equation Modeling (SEM) ✔ Path coefficients and hypothesis testing ✔ Direct, indirect and total effects ✔ Mediation analysis and bootstrapping ✔ Interpretation of AMOS results This tutorial is designed for students, researchers, PhD scholars, academics, and data analysts who want to learn CFA and SEM through a practical real-data example. Software: IBM SPSS AMOS / SPSS Analysis: CFA | SEM | Reliability | Validity | Mediation | Bootstrapping If you find this tutorial useful, Like, Subscribe, and Share for more practical videos on SPSS, AMOS, SEM, CFA, R, Python, Machine Learning, and Statistical Data Analysis.For further professional assistance: fayyazm3@gmail.com