Bayesian analysis of factorial designs.

Volume: 22, Issue: 2, Pages: 304 - 321
Published: Jun 1, 2017
Abstract
This article provides a Bayes factor approach to multiway analysis of variance (ANOVA) that allows researchers to state graded evidence for effects or invariances as determined by the data. ANOVA is conceptualized as a hierarchical model where levels are clustered within factors. The development is comprehensive in that it includes Bayes factors for fixed and random effects and for within-subjects, between-subjects, and mixed designs. Different...
Paper Details
Title
Bayesian analysis of factorial designs.
Published Date
Jun 1, 2017
Volume
22
Issue
2
Pages
304 - 321
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