The use of mixed models in a modified Iowa Gambling Task and a prisoner's dilemma game

Researchers in the decision making tradition usually analyze multiple decisions within experiments by aggregating choices across individuals and using the individual subject as the unit of analysis. This approach can mask important variations and patterns within the data. Specifically, it ignores va...

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Main Authors: Jean Stockard, Robert M. O'Brien, Ellen Peters
Format: Article
Language:English
Published: Cambridge University Press 2007-02-01
Series:Judgment and Decision Making
Subjects:
Online Access:http://journal.sjdm.org/jdm06150.pdf
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author Jean Stockard
Robert M. O'Brien
Ellen Peters
author_facet Jean Stockard
Robert M. O'Brien
Ellen Peters
author_sort Jean Stockard
collection DOAJ
description Researchers in the decision making tradition usually analyze multiple decisions within experiments by aggregating choices across individuals and using the individual subject as the unit of analysis. This approach can mask important variations and patterns within the data. Specifically, it ignores variations in decisions across a task or game and possible influences of characteristics of the subject or the experiment on these variations. We demonstrate, by reanalyzing data from two previously published articles, how a mixed model analysis addresses these limitations. Our results, with a modified Iowa gambling task and a prisoner's dilemma game, illustrate the ways in which such an analysis can test hypotheses not possible with other techniques, is more parsimonious, and is more likely to be faithful to theoretical models.
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spelling doaj.art-9980a674e7434c4ea986c967a1cc417e2023-09-02T04:00:21ZengCambridge University PressJudgment and Decision Making1930-29752007-02-012NA922The use of mixed models in a modified Iowa Gambling Task and a prisoner's dilemma gameJean StockardRobert M. O'BrienEllen PetersResearchers in the decision making tradition usually analyze multiple decisions within experiments by aggregating choices across individuals and using the individual subject as the unit of analysis. This approach can mask important variations and patterns within the data. Specifically, it ignores variations in decisions across a task or game and possible influences of characteristics of the subject or the experiment on these variations. We demonstrate, by reanalyzing data from two previously published articles, how a mixed model analysis addresses these limitations. Our results, with a modified Iowa gambling task and a prisoner's dilemma game, illustrate the ways in which such an analysis can test hypotheses not possible with other techniques, is more parsimonious, and is more likely to be faithful to theoretical models.http://journal.sjdm.org/jdm06150.pdfstatisticsrepeated measuresmixed modelsIowaGambling Taskprisoner's dilemma.
spellingShingle Jean Stockard
Robert M. O'Brien
Ellen Peters
The use of mixed models in a modified Iowa Gambling Task and a prisoner's dilemma game
Judgment and Decision Making
statistics
repeated measures
mixed models
IowaGambling Task
prisoner's dilemma.
title The use of mixed models in a modified Iowa Gambling Task and a prisoner's dilemma game
title_full The use of mixed models in a modified Iowa Gambling Task and a prisoner's dilemma game
title_fullStr The use of mixed models in a modified Iowa Gambling Task and a prisoner's dilemma game
title_full_unstemmed The use of mixed models in a modified Iowa Gambling Task and a prisoner's dilemma game
title_short The use of mixed models in a modified Iowa Gambling Task and a prisoner's dilemma game
title_sort use of mixed models in a modified iowa gambling task and a prisoner s dilemma game
topic statistics
repeated measures
mixed models
IowaGambling Task
prisoner's dilemma.
url http://journal.sjdm.org/jdm06150.pdf
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