| 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. |
| URL | https://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. |
| 条目包含的文件 | 条目无相关文件。 | |||||
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