ArticleComputational psychiatry (Cambridge, Mass.)2022
Enhancing the Psychometric Properties of the Iowa Gambling Task Using Full Generative Modeling.
Article in Computational psychiatry (Cambridge, Mass.), 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 18 papers.
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Who cites it
18 citing papers in PubMed, 26 citations in OpenAlex.
- Hot and Cool Executive Functions in Middle Childhood: Evidence for a Weak but Process-Specific Relationship.Children (Basel, Switzerland) · 2026Article
- Reward-specific learning parameters change across normative adolescent development and are blunted in youth with high risk for depression.Journal of child psychology and psychiatry, and allied disciplines · 2026Article
- Associations Between Steep Delay Discounting and Punishment Learning.Computational psychiatry (Cambridge, Mass.) · 2026Article
- A scoping review of emotion and non-cognitive measures of decision-making ability in older adults by the ARMCADA study.Frontiers in public health · 2026Article
- Influence of habitual physical activity on cognitive performance of healthy young adults after passive heat exposure.Journal of exercise science and fitness · 2026Article
- Reward and punishment learning among people with a lifetime history of anxiety, depression, and substance use disorder.Cognitive, affective & behavioral neuroscience · 2025Article
- Comparing likelihood-based and likelihood-free approaches to fitting and comparing models of intertemporal choice.Behavior research methods · 2025Article
- Unlocking new insights into the somatic marker hypothesis with multilevel logistic models.Cognitive, affective & behavioral neuroscience · 2025Article
- Hot and Cool Executive Function in Children with Autism Spectrum Disorder and Schizotypal Traits.Brain sciences · 2025Article
- Alcohol intoxication and negative mood similarly affect reward learning but not punishment learning in the Iowa gambling task.Judgment and decision making · 2025Article
- Improving the Reliability of the Pavlovian Go/No-Go Task for Computational Psychiatry Research.Computational psychiatry (Cambridge, Mass.) · 2025Article
- Does the reliability of computational models truly improve with hierarchical modeling? Some recommendations and considerations for the assessment of model parameter reliability : Reliability of computational model parameters.Psychonomic bulletin & review · 2024Review
- The effects of threat on complex decision-making: evidence from a virtual environment.Scientific reports · 2024Article
- Temporal stability of Bayesian belief updating in perceptual decision-making.Behavior research methods · 2024Article
- Test-retest reliability of the play-or-pass version of the Iowa Gambling Task.Cognitive, affective & behavioral neuroscience · 2024Article
- Dynamic computational phenotyping of human cognition.Nature human behaviour · 2024Article
- Active reinforcement learning versus action bias and hysteresis: control with a mixture of experts and nonexperts.PLoS computational biology · 2024Article
- Test-retest reliability of behavioral and computational measures of advice taking under volatility.PloS one · 2024Article
Corrections and comments
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Authors and funding
4 authors at 2 institutions in 1 country.
Funding
Abstract
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 the IGT's validity for use in characterizing internalizing pathology, compared to the traditional analytic approach. IGT data
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Registered trials
Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.