Cognitive mechanisms underlying risky decision-making in chronic cannabis users

DOI10.1016/j.jmp.2009.10.002zbMath1203.91252OpenAlexW2033299648WikidataQ33805491 ScholiaQ33805491MaRDI QIDQ972211

Linda Porrino, Daniel J. Fridberg, Sarah Queller, Julie C. Stout, Woojae Kim, Anthony J. Bishara, Woo-Young Ahn, Jerome R. Busemeyer

Publication date: 25 May 2010

Published in: Journal of Mathematical Psychology (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc2858342

zbMATH Keywords

decision-makingcognitive modelingcannabisIowa gambling task

Mathematics Subject Classification ID

Decision theory (91B06) Medical applications (general) (92C50) Cognitive psychology (91E10)

Related Items (1)

The expectancy valence model of the Iowa gambling task: can it produce reliable estimates for individuals?

Uses Software

• WinBUGS
• BaM
• BayesDA

Cites Work

• Estimating the dimension of a model
• Assessing model mimicry using the parametric bootstrap.
• Bayes Factors
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