Document Type

Article

Publisher

Universidad Nacional de Colombia

School

School of Arts and Humanities

RAS ID

20292

Comments

Originally published as: Campitelli, G., Macbeth, G. (2015). Hierarchical graphical bayesian models in psychology in Revista Colombiana de Estadistica, 37(2), 319-339. Available here.

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

Creative Commons Attribution 4.0 License
This work is licensed under a Creative Commons Attribution 4.0 License.

Share

 
COinS