Hierarchical Graphical Bayesian Models in Psychology

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 introdu...

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Bibliographic Details
Published in:Revista Colombiana de Estadística 2014-12, Vol.37 (2Spe), p.319-339
Main Authors: Campitelli, Guillermo, Macbeth, Guillermo
Format: Article
Language:English
Subjects:
Bayesian analysis
cognición estadística
estadística Bayesiana
estadística visual
Graphs
modelos gráficos
modelos jerárquicos
psicología
Psychology
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Summary: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.
ISSN:0120-1751
2389-8976
DOI:10.15446/rce.v37n2spe.47940