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Convenience Sampling Method

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Measuring Delay Discounting in Humans Using an Adjusting Amount Task

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Measuring delay discounting in a crowdsourced sample: An exploratory study.

Amanda Rotella¹, Cody Fogg¹, Sandeep Mishra²

¹Department of Psychology, University of Guelph, Guelph, Canada.

Scandinavian Journal of Psychology

|October 5, 2019

Summary

Measuring future discounting online is challenging. Monetary compensation may reduce the accuracy of delay discounting measures, impacting how we understand decision-making.

Keywords:

Discounting compensation delay discounting future discounting online payment

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Area of Science:

Behavioral Economics
Cognitive Psychology

Background:

Delay discounting quantifies preference for immediate over delayed rewards.
Online data collection is increasingly common but differs from controlled lab settings.
Standardized methods for online delay discounting measurement are needed.

Purpose of the Study:

To evaluate three delay discounting measures for online crowdsourced samples.
To assess the influence of monetary compensation on discounting measures.
To compare online findings with established laboratory results.

Main Methods:

Utilized three distinct delay discounting tasks: a single-shot measure, the Kirby Monetary Choice Questionnaire, and a Matching Task.
Collected data from a crowdsourced sample.
Examined correlations between discounting measures and related variables, analyzing the impact of payment.

Main Results:

Correlations between discounting tasks and related variables were weaker than in previous lab studies.
Monetary compensation appeared to weaken the associations between discounting measures and other variables.
Online measurement of delay discounting may differ significantly from laboratory assessments.

Conclusions:

Current online methods for measuring delay discounting may yield different results than traditional laboratory approaches.
Monetary incentives in online studies might alter the psychological processes being measured.
Further research is needed to refine online methodologies for accurately assessing delay discounting.