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Research article summary:
Delay discounting of real and hypothetical rewards.
Abstract Extract: The degree to which real and hypothetical rewards were discounted across delays ranging from 6 hr to 1 year was explored in a within-subjects design. An adjusting-amounts procedure was used to estimate the subjective value of real and hypothetical ... (Full abstract text below) Published 2003May
in Journal: Exp Clin Psychopharmacol
(Language : eng)
Full Pubmed Extract
This information was retrieved, real-time, on your behalf from the public area of the Pubmed website:
1. Exp Clin Psychopharmacol.
2003 May;11(2):139-45
Delay discounting of real and hypothetical rewards.
Madden GJ, Begotka AM, Raiff BR, Kastern LL
Department of Psychology, University of Wisconsin-Eau Claire 54702-4004, USA. maddengj@uwec.edu
The degree to which real and hypothetical rewards were discounted across delays ranging from 6 hr to 1 year was explored in a within-subjects design. An adjusting-amounts procedure was used to estimate the subjective value of real and hypothetical rewards at each delay. A hyperbolic discounting function provided a significantly better fit to individual participants' preferences than did an exponential function. No significant effect of reward type on degree of hyperbolic discounting or area under the discounting curves was detected. These findings offer some support for the validity of using hypothetical rewards to estimate discounting rates in substance-abusing and other populations, but caution is suggested because this support is gleaned from a failure to detect an effect of reward type.
PMID : 12755458 [PubMed - Indexed for MEDLINE]
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Full Author Information
| First Name | LastName | Initials |
| Gregory J | Madden | GJ |
| Andrea M | Begotka | AM |
| Bethany R | Raiff | BR |
| Lana L | Kastern | LL |
Affiliation: Department of Psychology, University of Wisconsin-Eau Claire 54702-4004, USA. maddengj@uwec.edu
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Category links from this article:- Adolescent
- Adult
- Area Under Curve
- Female
- Humans
- Male
- Reinforcement Schedule
- Reward
- Statistics, Nonparametric
- Time Factors
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