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

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