Publication: Separating Response-Execution Bias from Decision Bias: Arguments for an Additional Parameter in Ratcliff's Diffusion Model. Two simulation studies in support of including a new parameter in Ratcliff's diffusion model. … read more
Publication: A Fast Numerical Algorithm for the Estimation of Diffusion-Model Parameters. A new algorithmic approach for parameter estimation in Ratcliff's diffusion model. … read more
Publication: Interpreting the Parameters of the Diffusion Model: An Empirical Validation. Two experiments to validate Rattcliff's diffusion model. … read more
By Jochen Voss, last updated 2011-08-31
This page contains some information about the program fast-dm. Please note that this is not the official homepage.
Fast-dm is a programm for fast parameter estimation in Ratcliff's (1978) diffusion model. With a Diffusion model data analysis it is possible to analyse data from any fast binary decision task. A diffusion-model data analysis is based on the distributions of both correct and erroneous responses. From these distributions a set of parameters is estimated that allows to draw conclusions about the underlying cognitive processes (Voss, Rothermund, & Voss, 2004).
The implemented algorithm and a bit of background is described in the first of the following two articles, the program itself is described in the second one.
Below is the fast-dm source for download. We offer .tar.gz and .zip archives, the contents of both are identical. Installation instructions are in the file README.
This fixes a problem where for fixed value of z large values of sz where not correctly recognised.
This fixes a bug introduced in fast-dm release 27. As a nice side-effect the program is now faster for some parameter settings.
Copyright © 2011, Jochen Voss. All content on this website (including text, pictures, and any other original works), unless otherwise noted, is licensed under a Creative Commons Attribution-Share Alike 3.0 License.