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Using Mechanical Turk to Study Clinical Populations

Using Mechanical Turk to Study Clinical Populations 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. http://www.deepdyve.com/assets/images/DeepDyve-Logo-lg.png Clinical Psychological Science SAGE

Using Mechanical Turk to Study Clinical Populations

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References (59)

Publisher
SAGE
Copyright
© The Author(s) 2013
ISSN
2167-7026
eISSN
2167-7034
DOI
10.1177/2167702612469015
Publisher site
See Article on Publisher Site

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.

Journal

Clinical Psychological ScienceSAGE

Published: Apr 1, 2013

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