TY - JOUR
T1 - Discounting of delayed rewards
T2 - (A)theoretical interpretation of the Kirby questionnaire
AU - Myerson, Joel
AU - Baumann, Ana A.
AU - Green, Leonard
N1 - Funding Information:
The research was supported by NIH Grant R01 MH055308 . We are grateful to Brian Katz, Sarah Terrell, and Robert Boyang Yu for their assistance with the analyses.
PY - 2014/9
Y1 - 2014/9
N2 - 111 Participants, recruited from Amazon's MTurk worker pool, completed Kirby's (2009) monetary choice questionnaire, which involves choosing between immediate, but smaller rewards and delayed, but larger rewards. Individual participants' responses were scored in three ways: first, by calculating the proportion of choices of the delayed rewards; second; using the scoring procedure described by Kirby et al. (1999) to estimate discounting rate (i.e., the value of the k-parameter in a hyperbolic discounting function); and third, using logistic regression to estimate discounting rate (Wileyto et al., 2004). Individuals' scores calculated using the proportion measure and the logarithms of their estimated k values were very strongly correlated (rs > .97). In addition, the proportions of choices of small, medium, and large amounts of the delayed rewards were strongly correlated (rs > .80). Taken together, these results suggest that the relative ease of calculating the proportion measure does not require sacrificing reliability. Moreover, the proportion measure is atheoretical and very easy to calculate whereas estimating an individual's discounting rate requires assuming a theoretical model that may not be appropriate. Significant differences in the proportion of delayed reward choices were observed between the small, medium, and large delayed reward amounts, with smaller rewards being discounted more steeply than larger ones, replicating previous findings of magnitude effects. These results provide further validation of the proportion of delayed reward choices on the Kirby questionnaire as a measure of individual and group differences in discounting.
AB - 111 Participants, recruited from Amazon's MTurk worker pool, completed Kirby's (2009) monetary choice questionnaire, which involves choosing between immediate, but smaller rewards and delayed, but larger rewards. Individual participants' responses were scored in three ways: first, by calculating the proportion of choices of the delayed rewards; second; using the scoring procedure described by Kirby et al. (1999) to estimate discounting rate (i.e., the value of the k-parameter in a hyperbolic discounting function); and third, using logistic regression to estimate discounting rate (Wileyto et al., 2004). Individuals' scores calculated using the proportion measure and the logarithms of their estimated k values were very strongly correlated (rs > .97). In addition, the proportions of choices of small, medium, and large amounts of the delayed rewards were strongly correlated (rs > .80). Taken together, these results suggest that the relative ease of calculating the proportion measure does not require sacrificing reliability. Moreover, the proportion measure is atheoretical and very easy to calculate whereas estimating an individual's discounting rate requires assuming a theoretical model that may not be appropriate. Significant differences in the proportion of delayed reward choices were observed between the small, medium, and large delayed reward amounts, with smaller rewards being discounted more steeply than larger ones, replicating previous findings of magnitude effects. These results provide further validation of the proportion of delayed reward choices on the Kirby questionnaire as a measure of individual and group differences in discounting.
KW - Delayed rewards
KW - Discounting
KW - Kirby questionnaire
KW - Magnitude effect
UR - http://www.scopus.com/inward/record.url?scp=84906739229&partnerID=8YFLogxK
U2 - 10.1016/j.beproc.2014.07.021
DO - 10.1016/j.beproc.2014.07.021
M3 - Article
C2 - 25139835
AN - SCOPUS:84906739229
SN - 0376-6357
VL - 107
SP - 99
EP - 105
JO - Behavioural Processes
JF - Behavioural Processes
ER -