By: |
Brodeur, Abel;
Cook, Nikolai;
Heyes, Anthony |
Abstract: |
Amazon's Mechanical Turk is a very widely-used tool in business and economics
research, but how trustworthy are results from well-published studies that use
it? Analyzing the universe of hypotheses tested on the platform and published
in leading journals between 2010 and 2020 we find evidence of widespread
p-hacking, publication bias and over-reliance on results from plausibly
under-powered studies. Even ignoring questions arising from the
characteristics and behaviors of study recruits, the conduct of the research
community itself erodes substantially the credibility of these studies'
conclusions. The extent of the problems vary across the business, economics,
management and marketing research fields (with marketing especially
afflicted). The problems are not getting better over time and are much more
prevalent than in a comparison set of non-online experiments. We explore
correlates of increased credibility. |
Keywords: |
online crowd-sourcing platforms,Amazon Mechanical Turk,p-hacking,publication bias,statistical power,research credibility |
JEL: |
B41 C13 C40 C90 |
Date: |
2022 |
URL: |
http://d.repec.org/n?u=RePEc:zbw:i4rdps:8&r=sog |