Dataset Overview

Dataset Name: A Dataset of Risky and Ambiguous Decisions Using a Novel Linked Colored Lottery Task Across Two Studies Principal Investigator: David V. Smith Authors: James B. Wyngaarden III*, Yi Yang*, Jeffrey B. Dennison*, David V. Smith

Study Description

Decision-making under ambiguity has been linked to individual differences of clinical importance; however, analyses related to these concepts often rely on a max-min model which ignores the possible influence of individual beliefs about the underlying choice probabilities. Using a novel Linked Colored Lottery Task in two samples (N=46 in-person, N=287 online), we provide a dataset that enables researchers to explore how individual beliefs about underlying probabilities and preferences for their distributions influence ambiguous decision-making, beyond traditional max-min models.

Participant Information

• N=333
• Age range
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• Population demographics

Data Collection

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• Scanner information
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Task Information

Description of experimental tasks, including:

• Task design
• Stimulus presentation
• Response collection
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Data Processing

• Preprocessing steps applied
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Dataset Contents

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Additional Notes

• Known issues or limitations
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• Acknowledgments