webinars

Selection of Priors in Bayesian Structural Equation Modeling

2022-02-14
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Selection of Priors in Bayesian Structural Equation Modelling Structural equation modeling (SEM) is an important framework within the social sciences that encompasses a wide variety of statistical models. Traditionally, estimation of SEMs has relied on maximum likelihood. Unfortunately, there also…
webinars

Composite-Based Structural Equation Modeling: Developments and Perspectives

2021-04-28
The third “One World webinar” organized by YoungStatS will take place on May 19th, 2021. The focus of this webinar will be on composite-based structural equation modeling, particularly on partial least squares path modeling (Wold, 1982; Lohmöller, 1989) and approaches to assess composite…