title: GRace: a MATLAB-based application for fitting the discrimination-association model.
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.
authors.affiliation: University of Padua (Italy).
authors.forename: Luca
authors.initials: L
authors.lastname: Stefanutti
authors.affiliation: University of Padua (Italy).
authors.forename: Michelangelo
authors.initials: M
authors.lastname: Vianello
authors.affiliation: University of Padua (Italy).
authors.forename: Pasquale
authors.initials: P
authors.lastname: Anselmi
authors.affiliation: University of Padua (Italy).
authors.forename: Egidio
authors.initials: E
authors.lastname: Robusto
mesh_terms: D001245:Association Learning; D004192:Discrimination, Psychological; D006801:Humans; D008960:Models, Psychological; D011584:Psychology / Q000379:methods; D011930:Reaction Time; D012984:Software