Raw choice data of the healthy control (N=48), amphetamine (N=38) and heroin (N=43) groups on the modified Iowa Gambling Task (Bechara et al., 2001), published in Ahn et al. (2014) Frontiers in Psychology (Decision Neuroscience). 

There are 4 columns:

trial --> trial number
deck --> chosen deck on each trial. 1,2,3,4 --> deck A,B,C,D
gain --> gain on each trial
loss --> loss on each trial
subjID --> subject ID



The R codes for performing hierarchical Bayesian analysis of the Prospect Valence Learning (Ahn et al., 2008; 2011) or Value-Plus-Perseverance (Worthy et al., 2013) models, and computing Widely Applicable Information Criterion (WAIC) are available by request to the first author (Woo-Young Ahn; wooyoung.ahn@gmail.com).


<References>

Ahn, W.-Y., Busemeyer, J.R., Wagenmakers, E.-J., and Stout, J.C. (2008). Comparison of decision learning models using the generalization criterion method. Cognitive Science 32, 1376-1402.

Ahn, W.-Y., Krawitz, A., Kim, W., Busemeyer, J.R., and Brown, J.W. (2011). A Model-Based fMRI Analysis with Hierarchical Bayesian Parameter Estimation. Journal of Neuroscience, Psychoogy, and Economics 4, 95-110.

Ahn, W.-Y., Vasilev, G., Lee, S., Busemeyer, J. R., Kruschke, J. K., Bechara A., & Vassileva, J. (2014) Decision-making in stimulant and opiate addicts in protracted abstinence: evidence from computational modeling with pure users. Frontiers in Psychology (Decision Neuroscience).

Bechara, A., Dolan, S., Denburg, N., Hindes, A., Anderson, S.W., and Nathan, P.E. (2001). Decision-making deficits, linked to a dysfunctional ventromedial prefrontal cortex, revealed in alcohol and stimulant abusers. Neuropsychologia 39, 376-389.

Worthy, D.A., Pang, B., and Byrne, K.A. (2013). Decomposing the roles of perseveration and expected value representation in models of the Iowa gambling task. Frontiers in Psychology 4, 640.