The Information Sampling Task (IST) was introduced in Clark et al. (
1
) as a measure of reflection impulsivity. Performance on the IST is evaluated through
the average number of boxes opened for each trial of the test, whether the chosen
color was in majority or not, and “the probability of the subject being correct at
the point of decision [P(correct)]” (
1
). P(correct) is proposed calculated as a per-trial probability:
(1)
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References
- Reflection impulsivity in current and former substance users.Biol Psychiatry. 2006; 60: 515-522
- Systematic overestimation of reflection impulsivity in the Information Sampling Task.Biol Psychiatry. 2017; 82: e29-e30
- Bayesian Inference: With Ecological Applications, 1st ed.Academic Press, Boston2009: 110-115
- Pattern Recognition and Machine Learning.Springer Science+Business Media, New York2006
Article info
Publication history
Published online: June 03, 2017
Accepted:
May 26,
2017
Received:
March 28,
2017
Footnotes
Identification
Copyright
© 2017 Society of Biological Psychiatry.
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Access this article on ScienceDirectLinked Article
- Systematic Overestimation of Reflection Impulsivity in the Information Sampling TaskBiological PsychiatryVol. 82Issue 4
- PreviewImpulsivity, a psychological construct comprising both motor and cognitive factors, is thought to underlie important interindividual differences in health and disease (1). In particular, reflection impulsivity, which refers to the tendency to gather and evaluate information before decision making (2), has been implicated in many psychiatric and neurological disorders (3–5). One of the standard tasks for measuring reflection impulsivity in healthy and clinical populations is the Information Sampling Task (IST), designed by Clark et al.
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- Reply to: The Choice of Prior in Bayesian Modeling of the Information Sampling TaskBiological PsychiatryVol. 83Issue 12
- PreviewIn a previous article (1), we detailed an error of statistical inference in P(correct), one of two outcome metrics for the Information Sampling Task (IST) (2), and showed how this error was likely to lead to biased estimation of reflection impulsivity by standard analysis code. We also provided an alternative formulation of this measure that more accurately reflects the statistical structure of the IST.
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