Bayesian SEM

Bayesian Structural Equation Modeling (SEM) is a statistical approach that combines prior knowledge with data to understand relationships among variables. It uses probabilities to model complex systems, allowing for uncertainty and incorporating previous information or expert opinions. This approach updates beliefs based on new data, resulting in more flexible and informative insights about how different factors influence each other. Think of it as a way to refine your understanding of relationships within data by blending existing knowledge with observed information, leading to more nuanced and reliable conclusions.