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Amazon's Mechanical Turk

A New Source of Inexpensive, Yet High-Quality, Data?

Bibliographic Data

ID23313329
AuthorsMichael D Buhrmester (0000-0002-9892-3334, The University of Texas at Austin), Michael Buhrmester (Department of Psychology, University of Texas at Austin), Tracy Kwang (The University of Texas at Austin), Samuel D Gosling (0000-0001-8970-591X, The University of Texas at Austin)
Year2011
Volume6
Issue1
Pages3-5
Publication date2011-01-01
Peer ReviewedYes
Open AccessYes
TypeARTICLE
VenuePerspectives on Psychological Science (JOURNAL)
Journal identifiersISSN: 1745-6916 • E-ISSN: 1745-6924
PublisherSAGE Publications (PUBLISHER • US)
DOI10.1177/1745691610393980
PMID26162106
OpenAlexW2141708418
LanguageEN
Citations received2.432
References cited10

Amazon’s Mechanical Turk (MTurk) is a relatively new website that contains the major elements required to conduct research: an integrated participant compensation system; a large participant pool; and a streamlined process of study design, participant recruitment, and data collection. In this article, we describe and evaluate the potential contributions of MTurk to psychology and other social sciences. Findings indicate that (a) MTurk participants are slightly more demographically diverse than are standard Internet samples and are significantly more diverse than typical American college samples; (b) participation is affected by compensation rate and task length, but participants can still be recruited rapidly and inexpensively; (c) realistic compensation rates do not affect data quality; and (d) the data obtained are at least as reliable as those obtained via traditional methods. Overall, MTurk can be used to obtain high-quality data inexpensively and rapidly.

Affect (linguistics) · Amazon rainforest · Biology · Compensation (psychology) · Data collection · Data quality · Data science · Operations management · Quality (philosophy) · Statistics · Task (project management) · The Internet · World Wide Web · Applied Psychology · Behavioral Health and Interventions · Computer Science · Digital Mental Health Interventions · Engineering · Mental Health Research Topics · Psychology · Social Psychology

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Unique citing works2.432
Citations per year152
Citation span2010 - 2026 (17)
Citation velocitycurrent
Highly citedYes
Citation typesNeutral: 2.145

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