Document Type
Journal Article
Publisher
Universidad Nacional de Colombia
School
School of Arts and Humanities
RAS ID
20292
Abstract
The improvement of graphical methods in psychological research can promote their use and a better comprehension of their expressive power. The application of hierarchical Bayesian graphical models has recently become more frequent in psychological research. The aim of this contribution is to introduce suggestions for the improvement of hierarchical Bayesian graphical models in psychology. This novel set of suggestions stems from the description and comparison between two main approaches concerned with the use of plate notation and distribution pictograms. It is concluded that the combination of relevant aspects of both models might improve the use of powerful hierarchical Bayesian graphical models in psychology.
DOI
10.15446/rce.v37n2spe.47940
Creative Commons License
This work is licensed under a Creative Commons Attribution 4.0 License.
Comments
Campitelli, G., Macbeth, G. (2014). Hierarchical graphical bayesian models in psychology in Revista Colombiana de Estadistica, 37(2), 319-339. Available here.