Prolific.ac—A subject pool for online experiments
TLDR
This article presents www.prolific.ac and lays out its suitability for recruiting subjects for social and economic science experiments, and traces the platform’s historical development, present its features, and contrast them with requirements for different types of social andEconomic experiments.About:
This article is published in Journal of Behavioral and Experimental Finance.The article was published on 2017-12-01 and is currently open access. It has received 1357 citations till now.read more
Citations
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Gorilla in our Midst: An online behavioral experiment builder
TL;DR: The Gorilla Experiment Builder (gorilla.sc) is presented, a fully tooled experiment authoring and deployment platform, designed to resolve many timing issues and make reliable online experimentation open and accessible to a wider range of technical abilities.
Journal ArticleDOI
Changes in risk perception and self-reported protective behaviour during the first week of the COVID-19 pandemic in the United States
TL;DR: In this article, the authors investigated risk perception and self-reported engagement in protective behaviours in 1591 United States-based individuals cross-sectionally and longitudinally over the first week of the pandemic.
Posted ContentDOI
Gorilla in our Midst: An online behavioral experiment builder
TL;DR: The Gorilla Experiment Builder (gorilla.sc) is presented, a fully tooled experiment authoring and deployment platform, designed to resolve many timing issues, and make reliable online experimentation open and accessible to a wider range of technical abilities.
Posted ContentDOI
Changes in risk perception and protective behavior during the first week of the COVID-19 pandemic in the United States
TL;DR: In this article, the authors examined the extent to which protective behaviors are predicted by individuals' perception of risk, and found that engagement in social distancing and handwashing was most strongly predicted by the perceived likelihood of personally being infected, rather than likelihood of transmission or severity of potential transmitted infections.
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A Gendered Pandemic: Childcare, Homeschooling, and Parents’ Employment During COVID-19
TL;DR: This paper used data from 989 partnered, US parents to empirically examine whether the loss of childcare and new homeschooling demands are associated with employment outcomes early in the COVID-19 pandemic and also highlighted the role fathers can play in buffering against reduced labor force participation among mothers.
References
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Amazon's Mechanical Turk A New Source of Inexpensive, Yet High-Quality, Data?
TL;DR: Findings indicate that MTurk can be used to obtain high-quality data inexpensively and rapidly and the data obtained are at least as reliable as those obtained via traditional methods.
Running experiments on Amazon Mechanical Turk
TL;DR: The authors presented new demographic data about the Mechanical Turk subject population, reviewed the strengths of Mechanical Turk relative to other online and offline methods of recruiting subjects, and compared the magnitude of effects obtained using Mechanical Turk and traditional subject pools.
Posted Content
Running experiments on Amazon Mechanical Turk
TL;DR: The authors presented new demographic data about the Mechanical Turk subject population, reviewed the strengths of Mechanical Turk relative to other online and offline methods of recruiting subjects, and compared the magnitude of effects obtained using Mechanical Turk and traditional subject pools.
Posted Content
Conducting Behavioral Research on Amazon's Mechanical Turk
TL;DR: In this article, the authors demonstrate how to use Mechanical Turk for conducting behavioral research and lower the barrier to entry for researchers who could benefit from this platform, and illustrate the mechanics of putting a task on Mechanical Turk including recruiting subjects, executing the task, and reviewing the work submitted.
Journal ArticleDOI
Conducting behavioral research on Amazon's Mechanical Turk.
Winter Mason,Siddharth Suri +1 more
TL;DR: It is shown that when taken as a whole Mechanical Turk can be a useful tool for many researchers, and how the behavior of workers compares with that of experts and laboratory subjects is discussed.
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