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#121 Exploring Bayesian Structural Equation Modeling, with Nathaniel Forde

Learning Bayesian Statistics

CHAPTER

Exploring Bayesian Statistics and Structural Equation Modeling

This chapter journeys through the author's discovery of Bayesian statistics, contrasting initial academic exposure with practical applications in assessing catastrophic risks. It further delves into Structural Equation Modeling (SEM) and Confirmatory Factor Analysis (CFA), explaining their importance in analyzing complex datasets through latent constructs. The chapter concludes by connecting these statistical methodologies to real-world implications, particularly in areas such as psychometrics and employee engagement.

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