Effects of pay rate and instructions on attrition in crowdsourcing research.

ABSTRACT: Researchers in social sciences increasingly rely on crowdsourcing marketplaces such as Amazon Mechanical Turk (MTurk) and Prolific to facilitate rapid, low-cost data collection from large samples. However, crowdsourcing suffers from high attrition, threatening the validity of crowdsourced studies. Separate studies have demonstrated that (1) higher pay rates and (2) additional instructions-i.e., informing participants about task requirements, asking for personal information, and describing the negative impact of attrition on research quality-can reduce attrition rates with MTurk participants. The present study extended research on these possible remedies for attrition to Prolific, another crowdsourcing marketplace with strict requirements for participant pay. We randomly assigned 225 partic

SUBMITTER: Ritchey CM 

PROVIDER: S-EPMC10550147 | biostudies-literature | 2023

REPOSITORIES: biostudies-literature