TY - JOUR
T1 - Using crowdsourcing to compare temporal, social temporal, and probability discounting among obese and non-obese individuals
AU - Bickel, Warren K.
AU - George Wilson, A.
AU - Franck, Christopher T.
AU - Terry Mueller, E.
AU - Jarmolowicz, David P.
AU - Koffarnus, Mikhail N.
AU - Fede, Samantha J.
PY - 2014/4/1
Y1 - 2014/4/1
N2 - 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.
AB - 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.
KW - Crowdsourcing
KW - Decision making
KW - Obesity
KW - Probability discounting
KW - Social discounting
KW - Temporal discounting
UR - http://www.scopus.com/inward/record.url?scp=84892855604&partnerID=8YFLogxK
UR - http://www.scopus.com/inward/citedby.url?scp=84892855604&partnerID=8YFLogxK
U2 - 10.1016/j.appet.2013.12.018
DO - 10.1016/j.appet.2013.12.018
M3 - Article
C2 - 24380883
AN - SCOPUS:84892855604
SN - 0195-6663
VL - 75
SP - 82
EP - 89
JO - Appetite
JF - Appetite
ER -