Data from 617 Healthy Participants Performing the Iowa Gambling Task: A “Many Labs” Collaboration

Preethi Premkumar; Steingroever; Fridberg; Horstmann; Kjome; Kumari; Lane; Maia; McClelland; Pachur; Stout; Wetzels; Wood; Wood; Wagenmakers

doi:10.5334/jopd.ak

Data from 617 Healthy Participants Performing the Iowa Gambling Task: A “Many Labs” Collaboration

Preethi Premkumar, Steingroever, Fridberg, Horstmann, Kjome, Kumari, Lane, Maia, McClelland, Pachur, Stout, Wetzels, Wood, Wood, Wagenmakers

Psychology

Research output: Contribution to journal › Article › peer-review

Abstract

This data pool comes from eight independent published studies (3; Horstmann; 5, 6, 7; 15, 16, 17), one study under preparation (8), and one unpublished study (9). These studies report the performance of a total of 617 healthy participants on the Iowa gambling task (IGT; 1). The IGT is arguably the most popular neuropsychological paradigm to measure decision-making deficits in an experimental context. Part of the data was already reanalyzed elsewhere (i.e., 8, 10, 11, 12, 13, 14) in order to assess basic assumptions underlying the performance of healthy participants on the IGT, and to compare reinforcement-learning models that try to disentangle psychological processes underlying performance on the IGT.

Original language	English
Journal	Journal of Open Psychology Data
DOIs	https://doi.org/10.5334/jopd.ak
Publication status	Published - Jun 2015

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Cite this

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title = "Data from 617 Healthy Participants Performing the Iowa Gambling Task: A “Many Labs” Collaboration",

abstract = "This data pool comes from eight independent published studies (3; Horstmann; 5, 6, 7; 15, 16, 17), one study under preparation (8), and one unpublished study (9). These studies report the performance of a total of 617 healthy participants on the Iowa gambling task (IGT; 1). The IGT is arguably the most popular neuropsychological paradigm to measure decision-making deficits in an experimental context. Part of the data was already reanalyzed elsewhere (i.e., 8, 10, 11, 12, 13, 14) in order to assess basic assumptions underlying the performance of healthy participants on the IGT, and to compare reinforcement-learning models that try to disentangle psychological processes underlying performance on the IGT.",

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T1 - Data from 617 Healthy Participants Performing the Iowa Gambling Task: A “Many Labs” Collaboration

AU - Premkumar, Preethi

AU - Steingroever,

AU - Fridberg,

AU - Horstmann,

AU - Kjome,

AU - Kumari,

AU - Lane,

AU - Maia,

AU - McClelland,

AU - Pachur,

AU - Stout,

AU - Wetzels,

AU - Wood,

AU - Wagenmakers,

PY - 2015/6

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AB - This data pool comes from eight independent published studies (3; Horstmann; 5, 6, 7; 15, 16, 17), one study under preparation (8), and one unpublished study (9). These studies report the performance of a total of 617 healthy participants on the Iowa gambling task (IGT; 1). The IGT is arguably the most popular neuropsychological paradigm to measure decision-making deficits in an experimental context. Part of the data was already reanalyzed elsewhere (i.e., 8, 10, 11, 12, 13, 14) in order to assess basic assumptions underlying the performance of healthy participants on the IGT, and to compare reinforcement-learning models that try to disentangle psychological processes underlying performance on the IGT.

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DO - 10.5334/jopd.ak

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JO - Journal of Open Psychology Data

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