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Validating the PVL-Delta model for the Iowa gambling task (2013)

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Title Validating the PVL-Delta model for the Iowa gambling task
Published in Frontiers in Psychology, Vol. 4, p.898-. ISSN 16641078.
Author H. Steingroever; R. Wetzels; E.-J. Wagenmakers
Degree grantor Universiteit van Amsterdam
Date 2013-12-03
Language English
Type Article
Abstract Decision-making deficits in clinical populations are often assessed with the Iowa gambling task (IGT). Performance on this task is driven by latent psychological processes, the assessment of which requires an analysis using cognitive models. Two popular examples of such models are the Expectancy Valence (EV) and Prospect Valence Learning (PVL) models. These models have recently been subjected to sophisticated procedures of model checking, spawning a hybrid version of the EV and PVL models—the PVL-Delta model. In order to test the validity of the PVL-Delta model we present a parameter space partitioning (PSP) study and a test of selective influence. The PSP study allows one to assess the choice patterns that the PVL-Delta model generates across its entire parameter space. The PSP study revealed that the model accounts for empirical choice patterns featuring a preference for the good decks or the decks with infrequent losses; however, the model fails to account for empirical choice patterns featuring a preference for the bad decks. The test of selective influence investigates the effectiveness of experimental manipulations designed to target only a single model parameter. This test showed that the manipulations were successful for all but one parameter. To conclude, despite a few shortcomings, the PVL-Delta model seems to be a better IGT model than the popular EV and PVL models.
Publication http://hdl.handle.net/11245/1.403574
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Persistent Identifier urn:nbn:nl:ui:29-465992
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Repository University of Amsterdam

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