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Ed Merkle
A professor of psychological sciences at the University of Missouri, specializing in Bayesian applications to psychometric models and model estimation.
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Mar 20, 2024
• 1h 9min
#102 Bayesian Structural Equation Modeling & Causal Inference in Psychometrics, with Ed Merkle
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Explore Bayesian Structural Equation Modeling (SEM) in psychometrics with Ed Merkle. Learn about the significance of BSEM, challenges in model estimation, and the blavaan package in R. Discover the role of Bayesian methods in forecasting and wisdom crowdsourcing. Dive into the complexities of prior distributions, model convergence, and the development of blavaan. Gain insights on Bayesian workflow challenges, model placement in research papers, and future developments in patient psychometrics. Revolutionize math education and foster interest in STEM fields.
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