Enhancing the Psychometric Properties of the Iowa Gambling Task Using Full Generative Modeling

Enhancing the Psychometric Properties of the Iowa Gambling Task Using Full Generative Modeling

Poor psychometrics, particularly low test-retest reliability, pose a major challenge for using behavioral tasks in individual differences research. Here, we demonstrate that full generative modeling of the Iowa Gambling Task (IGT) substantially improves test-retest reliability and may also enhance t...

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Bibliographic Details
Main Authors: Holly Sullivan-Toole, Nathaniel Haines, Kristina Dale, Thomas M. Olino
Format: Article
Language:English
Published: Ubiquity Press 2022-08-01
Series:Computational Psychiatry
Subjects:
iowa gambling task
psychometrics
reinforcement learning
test-retest reliability
hierarchical bayesian analysis
internalizing
Online Access:https://cpsyjournal.org/articles/89

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