Clinical Psychological Science· 2013Q1
Using Mechanical Turk to Study Clinical Populations
- 1,172citations
- Q1SCImago
- 2013year
Short summary
Amazon's Mechanical Turk (MTurk) can effectively recruit participants with psychiatric symptoms and related issues for clinical research, showing comparable reliability and validity to traditional methods, though researchers must address potential misrepresentation.
AI-generated from the title and abstract; the full text is not read.
Key points
- Amazon's Mechanical Turk (MTurk) can successfully recruit participants with psychiatric symptoms and specific risk factors.
- Participant reports on psychopathology domains via MTurk show comparable reliability and validity to traditional methods.
- Crowdsourcing software offers advantages for clinical research by overcoming recruitment challenges.
- Researchers using MTurk must be aware of and address potential problems like participant misrepresentation.
AI-generated from the title and abstract; the full text is not read.
Abstract
Although participants with psychiatric symptoms, specific risk factors, or rare demographic characteristics can be difficult to identify and recruit for participation in research, participants with these characteristics are crucial for research in the social, behavioral, and clinical sciences. Online research in general and crowdsourcing software in particular may offer a solution. However, no research to date has examined the utility of crowdsourcing software for conducting research on psychopathology. In the current study, we examined the prevalence of several psychiatric disorders and related problems, as well as the reliability and validity of participant reports on these domains, among users of Amazon’s Mechanical Turk. Findings suggest that crowdsourcing software offers several advantages for clinical research while providing insight into potential problems, such as misrepresentation, that researchers should address when collecting data online.
The authors' abstract, as published at the source. Clinical Psychological Science, 2013 · DOI ↗
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Field: Health
HealthSocial Sciences