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Wetzels, Ruud

Bayesian hypothesis testing hierarchical models: A PhD proposal for the innovation of psychological methods

Ruud Wetzels (PhD student)
Psychological Methodology
Department of Psychology
University of Amsterdam
Roetersstraat 15, 1018 WB Amsterdam
Phone: +31 20 525 8871 / 6870 (secretary)
E-mail: Ruud Wetzels

Project: Project financed by University of Amsterdam
Project running from: 1 September 2008 – 1 September 2012
Supervisors:
- dr E.M. Wagenmakers (University of Amsterdam)
- prof. dr H.L.J. Van der Maas (University of Amsterdam)

Summary of project

One goal of my PhD project is to do Bayesian inference using all kinds of models that are popular in Psychology. Some examples of such models are ALCOVE (Kruschke, 1992) for category learning or the Expectancy-Valence model (Busemeyer and Stout, 2002) for decision making.

Another goal of the project is to implement and study Bayesian hypothesis testing for hierarchical, possibly order-restricted models. In hierarchical modeling, individual-level parameters are drawn from a group distribution. This way of modeling takes both differences and similarities between participants into account.

In general, the aim is to try to make Bayesian methods more easily available to empirically oriented psychologists that would like to take advantage of the Bayesian methodology but lack the time or the technical skills to implement their own software.

Date of defence:
Title of thesis: