Leola's GRT Toolbox for MATLAB

I have created a toolbox for generating and analyzing data for psychology experiments based on the General Recognition Theory (GRT). This software is free and comes with no warranty.

What is GRT?

General Recognition Theory is a multi-dimensional version of signal detection theory (Thurstone, 1927; Green & Swets, 1966). It was developed by psychologists (Ashby & Townsend, 1986; Ashby & Gott, 1988) to study the human categorization process.

About the Toolbox

The toolbox provides routines to help an experimenter design categorization (or identification) experiments, generate stimuli for these experiments, simulate a subject's responses, analyze categorization data, and graph results. The typical user of this toolbox designs experiments for two-category tasks, where the categories are specified by multi-variate normal distributions. The current version of the toolbox provides tools for fitting the General Linear Classifier to a data set.

Platforms

The toolbox was written for Macintosh users, but it also works well on PCs. Note that some data analysis functions depend on the Optimization Toolbox for MATLAB.

Citations

You may copy and modify the GRT Toolbox files as long as the original author is acknowledged you document any modifications you make as your own. If this toolbox is used in any published research, I would appreciate an acknowledgement. For example, using APA style, the toolbox may be referenced as follows:

Alfonso-Reese, L.A. (in press) General Recognition Theory of Categorization: A MATLAB Toolbox. Behavior Research Methods.

Thanks!

Download

Click HERE to download the GRT Toolboxfor Mac OS X users..

Click HERE to download the GRT Toolbox for Mac OS 9.2 users.

Click HERE to download the GRT Toolbox for PC users.

Then, please read the GRT_README.m file first.

Visitor count: