Structural Equation Modeling in R – last chance

Hello R-SIG-EPI members

Last chance to join our 2-day seminar Structural Equation Modeling in R livestreaming February 23?24 with Scott Colwell (University of Guelph and Enablytics). Structural Equation Modeling (SEM) in R offers powerful capabilities for epidemiologists to analyze complex relationships involving latent constructs and to explicitly account for measurement error in observed variables. This approach allows for a more nuanced understanding of disease etiology, risk factor interactions, and intervention mechanisms by clarifying direct and indirect effects within intricate causal pathways. The seminar's emphasis on reproducible R/lavaan workflows and robust reporting standards will equip researchers to validate their measurement instruments and conduct transparent, publishable analyses.

Sign up today (https://instats.org/seminar/structural-equation-modeling-in-r) to secure your spot, and please share this opportunity with colleagues and students who might benefit!


Best wishes

Michael Zyphur
Professor and Director
Instats | instats.org