Dangers of the Defaults: A Tutorial on the Impact of Default Priors When Using Bayesian SEM With Small Samples

Dangers of the Defaults: A Tutorial on the Impact of Default Priors When Using Bayesian SEM With Small Samples

When Bayesian estimation is used to analyze Structural Equation Models (SEMs), prior distributions need to be specified for all parameters in the model. Many popular software programs offer default prior distributions, which is helpful for novel users and makes Bayesian SEM accessible for a broad au...

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Bibliographic Details
Main Authors: Sanne C. Smid, Sonja D. Winter
Format: Article
Language:English
Published: Frontiers Media S.A. 2020-12-01
Series:Frontiers in Psychology
Subjects:
Bayesian SEM
default priors
informative priors
small sample size
Shiny app
Online Access:https://www.frontiersin.org/articles/10.3389/fpsyg.2020.611963/full

Internet

https://www.frontiersin.org/articles/10.3389/fpsyg.2020.611963/full

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