Using crowdsourcing to compare temporal, social temporal, and probability discounting among obese and non-obese individuals

Warren K. Bickel, A. George Wilson, Christopher T. Franck, E. Terry Mueller, David P. Jarmolowicz, Mikhail N. Koffarnus, Samantha J. Fede

Research output: Contribution to journalArticlepeer-review

86 Scopus citations

Abstract

Previous research comparing obese and non-obese samples on the delayed discounting procedure has produced mixed results. The aim of the current study was to clarify these discrepant findings by comparing a variety of temporal discounting measures in a large sample of internet users (n=1163) obtained from a crowdsourcing service, Amazon Mechanical Turk (AMT). Measures of temporal, social-temporal (a combination of standard and social temporal), and probability discounting were obtained. Significant differences were obtained on all discounting measures except probability discounting, but the obtained effect sizes were small. These data suggest that larger N studies will be more likely to detect differences between obese and non-obese samples, and may afford the opportunity, in future studies, to decompose a large obese sample into different subgroups to examine the effect of other relevant measures, such as the reinforcing value of food, on discounting.

Original languageEnglish
Pages (from-to)82-89
Number of pages8
JournalAppetite
Volume75
DOIs
StatePublished - Apr 1 2014

Keywords

  • Crowdsourcing
  • Decision making
  • Obesity
  • Probability discounting
  • Social discounting
  • Temporal discounting

ASJC Scopus subject areas

  • General Psychology
  • Nutrition and Dietetics

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