Authors: B Aksoy, S Nevo
Year: 2025
Published in: Participant Behavior and Motivations (March 21 ..., 2025 - papers.ssrn.com
Institution: Rensselaer Polytechnic Institute
Research Area: Crowdsourcing Research, Participant Behavior
Discipline: Computational Social Science
Research on Prolific reveals that participant compensation significantly impacts sample selection, potentially introducing biases, and offers insights into participant motivations and behavior to improve study reliability and design.
Methods: A carefully designed experiment was performed to analyze correlations between participants' reservation wages, socioeconomic attributes, and study compensations; sensitivity analyses were conducted for further guidance.
Key Findings: Participant reservation wages, socioeconomic attributes, perceptions of general behavior and motivations, and implications of study design decisions.
Citations: 3