The use of mixed models in a modified Iowa Gambling Task and a prisoner’s dilemma game
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Date
2007-02
Authors
Stockard, Jean
O'Brien, Robert M.
Peters, Ellen
Journal Title
Journal ISSN
Volume Title
Publisher
Cambridge University Press
Abstract
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.
Description
14 pages
Keywords
Statistics, Repeated Measures, Mixed Models, Iowa Gambling Task, Prisoner's Dilemma
Citation
Stockard, J., O’Brien, R. M., & Peters, E. (2007). The use of mixed models in a modified Iowa Gambling Task and a prisoner’s dilemma game. Judgement and Decision Making, 2(1), 9- 22. https://doi.org/10.1017/S1930297500000231