Structural equation modeling (SEM) is a multivariate statistical analysis technique that is used to analyze structural relationships between measured variables and latent constructs. This technique is a combination of factor analysis and multiple regression analysis. This step-by-step tutorial will walk you from data screening to running the causal model with special topics on different types of analysis such as mediation, moderation, and interaction. Kindly check these links for the step-by-step guide of each main step. Hope this is helpful. Data screening - bit.ly/3bEM8FU Exploratory Factor Analysis - bit.ly/33cUPDH Confirmatory Factor Analysis - bit.ly/35gygjP Multivariate assumptions - bit.ly/336dalC Setting up the Causal Model - bit.ly/2ZrspVo Mediation Analysis - bit.ly/3inUNz5 [draft] Moderation Analysis - bit.ly/2ZsoEPs Multi-group Analysis - bit.ly/32jrQ1C