S5E23 A Rosetta Stone for DAGs and SEM
Quantitude
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Exploring Causality: SEM and DAGs
This chapter delves into the complexities of Structural Equation Modeling (SEM) and Directed Acyclic Graphs (DAGs), emphasizing their distinct approaches to understanding causal relationships among variables. It contrasts SEM's focus on holistic causality with DAGs' emphasis on isolating specific variables, using visual metaphors and geometric representations to clarify these concepts. Additionally, the chapter addresses misconceptions and methodological considerations essential for formulating accurate causal claims in research.
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