S5E23 A Rosetta Stone for DAGs and SEM
Quantitude
Understanding Causality in DAGs and SEM
This chapter explores the differences between single-headed and double-headed arrows in directed acyclic graphs (DAGs) and structural equation modeling (SEM), illustrating how they signify causal relationships and mutual relationships, respectively. It emphasizes the importance of understanding various relationships in research design to avoid biases in causal inference and discusses the implications of controlling variables in statistical analysis. Through engaging analogies and practical examples, the complexities of these analytical frameworks are clarified while highlighting their relevance in fields like epidemiology and social sciences.
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