Welcome

This page contains supplementary material for "Hierarchical diffusion models for two-choice response times" by Joachim Vandekerckhove, Francis Tuerlinckx, and Michael D. Lee ().

This site contains resources that may not be archival or reviewed. The files made available here may not be what they seem at first sight. Please do not cite without consulting the authors.

Files

— Software implementation
— WinBUGS code for examples

Abstract

Two-choice response times are a common type of data, and much research has been devoted to the development of process models for such data. However, the practical application of these models is notoriously complicated, and flexible methods are largely nonexistent. We combine a popular model for choice response times-the Wiener diffusion process-with techniques from psychometrics in order to construct a hierarchical diffusion model. Chief among these techniques is the application of random effects, with which we allow for unexplained variability among participants, items, or other experimental units. These techniques lead to a modeling framework that is highly flexible and easy to work with. Among the many novel models this statistical framework provides are a multilevel diffusion model, regression diffusion models, and a large family of explanatory diffusion models. We provide examples and the necessary computer code.

disclaimer By clicking on any of these links (including, but not limited to, the downloading of any PDF file from any server), you agree to forfeit and cede on your own behalf and on behalf of any past, current, or future employer, any exclusive claim to intellectual property or copyright relating to any of the materials so obtained.