Annual Review of Clinical Psychology· 2016Q1· Review
Conducting Clinical Research Using Crowdsourced Convenience Samples
- 1,110citations
- Q1SCImago
- 2016year
Short summary
Amazon Mechanical Turk (MTurk) provides clinical scientists with readily available participants and streamlined recruitment, enabling faster and larger-scale research.
AI-generated from the title and abstract; the full text is not read.
Key points
- MTurk offers clinical scientists access to a large participant pool and streamlined recruitment processes.
- MTurk is the most studied nonprobability sample, with numerous investigations into its composition and data quality.
- The article summarizes findings relevant to clinical psychology and addresses methodological issues common to nonprobability samples.
- Concrete steps are suggested to avoid or minimize the impact of these methodological issues.
AI-generated from the title and abstract; the full text is not read.
Abstract
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.
The authors' abstract, as published at the source. Annual Review of Clinical Psychology, 2016 · DOI ↗
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Field: Computer Science Applications
Computer Science ApplicationsComputer Science