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来源类型Publication
Conducting Clinical Research Using Crowdsourced Convenience Samples
Jesse Chandler; Danielle Shapiro
发表日期2016-03-30
出版者Annual Review of Clinical Psychology, vol. 12
出版年2016
语种英语
概述This article summarizes what is known about Amazon’s Mechanical Turk sample composition and data quality. It addresses methodological issues with using Mechanical Turk and suggests concrete steps to avoid these issues or minimize their impact.",
摘要Crowdsourcing has had a dramatic impact on the speed and scale at which scientific research can be conducted. Clinical scientists have particularly benefited from readily available research study participants and streamlined recruiting and payment systems afforded by Amazon Mechanical Turk (MTurk), a popular labor market for crowdsourcing workers. MTurk has been used in this capacity for more than five years. The popularity and novelty of the platform have spurred numerous methodological investigations, making it the most studied nonprobability sample available to researchers. This article summarizes what is known about MTurk sample composition and data quality with an emphasis on findings relevant to clinical psychological research. It then addresses methodological issues with using MTurk—many of which are common to other nonprobability samples but unfamiliar to clinical science researchers—and suggests concrete steps to avoid these issues or minimize their impact.
URLhttps://www.mathematica.org/our-publications-and-findings/publications/conducting-clinical-research-using-crowdsourced-convenience-samples
来源智库Mathematica Policy Research (United States)
资源类型智库出版物
条目标识符http://119.78.100.153/handle/2XGU8XDN/488454
推荐引用方式
GB/T 7714
Jesse Chandler,Danielle Shapiro. Conducting Clinical Research Using Crowdsourced Convenience Samples. 2016.
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