In 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.To read this article in full you will need to make a payment
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References
- Systematic overestimation of reflection impulsivity in the Information Sampling Task.Biol Psychiatry. 2017; 82: e29-e30
- Reflection impulsivity in current and former substance users.Biol Psychiatry. 2006; 60: 515-522
- The choice of prior in Bayesian modeling of the Information Sampling Task.Biol Psychiatry. 2018; 83: e59-e60
- Probabilistic judgements in deluded and non-deluded subjects.Q J Exp Psychol A. 1988; 40: 801-812
- Increased decision thresholds enhance information gathering performance in juvenile obsessive-compulsive disorder (OCD).PLoS Comput Biol. 2017; 13: e1005440
Article info
Publication history
Published online: June 03, 2017
Accepted:
May 26,
2017
Received:
May 25,
2017
Identification
Copyright
© 2017 Society of Biological Psychiatry.
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Access this article on ScienceDirectLinked Article
- The Choice of Prior in Bayesian Modeling of the Information Sampling TaskBiological PsychiatryVol. 83Issue 12
- PreviewThe 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:
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