Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?
Amazon's Mechanical Turk: A New Source of Inexpensive, Yet High-Quality, Data?
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DOI：
10.1177/1745691610393980
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发表时间：
2011-01-01
影响因子：
12.6
通讯作者：
Gosling, Samuel D.
中科院分区：
文献类型：
--
作者：
Buhrmester, Michael;Kwang, Tracy;Gosling, Samuel D.
亚马逊的Mechanical Turk（MTurk）是一个相对较新的网站，包含进行研究所需的主要元素：集成的参与者补偿系统;大型参与者库;以及研究设计，参与者招募和数据收集的简化流程。在这篇文章中，我们描述和评估MTurk对心理学和其他社会科学的潜在贡献。研究结果表明，MTurk的参与者在人口统计学上的多样性略高于标准的互联网样本，并且明显高于典型的美国大学样本;（B）参与受报酬率和任务长度的影响，但参与者仍然可以被迅速和廉价地招募;（c）现实的报酬率不影响数据质量;以及（d）所获得的数据至少与通过传统方法获得的数据一样可靠。总的来说，MTurk可以用于廉价快速地获得高质量的数据。
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.