Research article summary (published 30 Jul 2009):

A mixed-effects expectancy-valence model for the Iowa gambling task.

Full Abstract

The Iowa gambling task (IGT; Bechara, Damasio, Damasio, & Anderson, 1994) was developed to simulate real-life decision making under uncertainty. The task has been widely used to examine possible neurocognitive deficits in normal and clinical populations. Busemeyer and Stout (2002) proposed the expectancy-valence (EV) model to explicitly account for individual participants' repeated choices in the IGT. Parameters of the EV model presumably measure different psychological processes that underlie performance on the task, and their values may be used to differentiate individuals across different populations. In the present article, the EV model is extended to include both fixed effects and subject-specific random effects. The mixed-effects EV model fits the nested structure of observations in the IGT naturally and provides a unified procedure for parameter estimation and comparisons among groups of populations. We illustrate the utility of the mixed-effects approach with an analysis of gender differences using a real data set. A simulation study was conducted to verify the advantages of this approach.

Author information

Author/s: Cheng, Chung-Ping (CP); Sheu, Ching-Fan (CF); Yen, Nai-Shing (NS);

Affiliation: Department of Psychology, National Chengchi University, Taipei, Taiwan. cpcheng(-atsign-)nccu.edu.tw

Journal and publication information

Publication Type: Comparative Study; Journal Article; Research Support, Non-U.S. Gov't

Journal: Behavior research methods (Behav Res Methods), published in United States. (Language: eng)

Reference: 2009-Aug; vol 41 (issue 3) : pp 657-63

Dates: Created 2009/07/09; Completed 2009/10/01;

PMID: 19587175, status: MEDLINE (last retrieved date: 10/1/2009)

Sourced from the National Library of Medicine. Abstract text and other information may be subject to copyright.

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MeSH headings (categories)

This article was linked to the MeSH Headings (categories) shown below.

Cognition Computer Simulation Decision Making Female Gambling - psychology

Gambling - psychology Humans Male Models, Psychological Sex Characteristics

Note: Bold headings indicate primary MeSH headings or qualifiers.

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