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GRace: A MATLAB-Based Application for Fitting the Discrimination-Association Model

Published online by Cambridge University Press:  28 October 2014

Luca Stefanutti ,
Michelangelo Vianello ,
Pasquale Anselmi  and
Egidio Robusto
Luca Stefanutti*
Affiliation:
University of Padua (Italy)
Michelangelo Vianello
Affiliation:
University of Padua (Italy)
Pasquale Anselmi
Affiliation:
University of Padua (Italy)
Egidio Robusto
Affiliation:
University of Padua (Italy)
*
*Correspondence concerning this article should be addressed to Luca Stefanutti. Department FISPPA. University of Padua. Via Venezia, 8. 35131. Padua (Italy). Phone: +39–0498276687. Fax: +39–0498276600. E-mail: [email protected]
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Abstract

The Implicit Association Test (IAT) is a computerized two-choice discrimination task in which stimuli have to be categorized as belonging to target categories or attribute categories by pressing, as quickly and accurately as possible, one of two response keys. The discrimination association model has been recently proposed for the analysis of reaction time and accuracy of an individual respondent to the IAT. The model disentangles the influences of three qualitatively different components on the responses to the IAT: stimuli discrimination, automatic association, and termination criterion. The article presents General Race (GRace), a MATLAB-based application for fitting the discrimination association model to IAT data. GRace has been developed for Windows as a standalone application. It is user-friendly and does not require any programming experience. The use of GRace is illustrated on the data of a Coca Cola-Pepsi Cola IAT, and the results of the analysis are interpreted and discussed.

Keywords

implicit association testdiscrimination association modelresponse timeaccuracyimplicit measures
Type
Research Article
Information
The Spanish Journal of Psychology , Volume 17 , 2014 , E73
Copyright
Copyright © Universidad Complutense de Madrid and Colegio Oficial de Psicólogos de Madrid 2014 

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