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Running experiments on Amazon Mechanical Turk

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TLDR
The authors presented new demographic data about the Mechanical Turk subject population, reviewed the strengths of Mechanical Turk relative to other online and offline methods of recruiting subjects, and compared the magnitude of effects obtained using Mechanical Turk and traditional subject pools.
Abstract
Although Mechanical Turk has recently become popular among social scientists as a source of experimental data, doubts may linger about the quality of data provided by subjects recruited from online labor markets. We address these potential concerns by presenting new demographic data about the Mechanical Turk subject population, reviewing the strengths of Mechanical Turk relative to other online and offline methods of recruiting subjects, and comparing the magnitude of effects obtained using Mechanical Turk and traditional subject pools. We further discuss some additional benefits such as the possibility of longitudinal, cross cultural and prescreening designs, and offer some advice on how to best manage a common subject pool.

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Separate but equal? A comparison of participants and data gathered via Amazon's MTurk, social media, and face-to-face behavioral testing

TL;DR: It is concluded that for some behavioral tests, online recruitment and testing can be a valid-and sometimes even superior-partner to in-person data collection.
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Evaluating Amazon's Mechanical Turk as a Tool for Experimental Behavioral Research

TL;DR: This paper replicates a diverse body of tasks from experimental psychology including the Stroop, Switching, Flanker, Simon, Posner Cuing, attentional blink, subliminal priming, and category learning tasks using participants recruited using AMT.
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Prolific.ac—A subject pool for online experiments

TL;DR: This article presents www.prolific.ac and lays out its suitability for recruiting subjects for social and economic science experiments, and traces the platform’s historical development, present its features, and contrast them with requirements for different types of social andEconomic experiments.
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Attentive Turkers: MTurk participants perform better on online attention checks than do subject pool participants

TL;DR: In three online studies, participants from MTurk and collegiate populations participated in a task that included a measure of attentiveness to instructions (an instructional manipulation check: IMC), and MTurkers were more attentive to the instructions than were college students, even on novel IMCs.
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Introducing the short Dark Triad (SD3): a brief measure of dark personality traits.

TL;DR: The Short Dark Triad (SD3) is developed and validated, a brief proxy measure that provides efficient, reliable, and valid measures of the DarkTriad of personalities.
References
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The Framing of Decisions and the Psychology of Choice

TL;DR: The psychological principles that govern the perception of decision problems and the evaluation of probabilities and outcomes produce predictable shifts of preference when the same problem is framed in different ways.
Journal ArticleDOI

Amazon's Mechanical Turk A New Source of Inexpensive, Yet High-Quality, Data?

TL;DR: Findings indicate that MTurk can be used to obtain high-quality data inexpensively and rapidly and the data obtained are at least as reliable as those obtained via traditional methods.
Journal ArticleDOI

On the social psychology of the psychological experiment: With particular reference to demand characteristics and their implications.

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Extensional versus intuitive reasoning: The conjunction fallacy in probability judgment.

TL;DR: The conjunction rule as mentioned in this paper states that the probability of a conjunction cannot exceed the probabilities of its constituents, P (A) and P (B), because the extension (or the possibility set) of the conjunction is included in the extension of their constituents.
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Should we trust web-based studies? A comparative analysis of six preconceptions about internet questionnaires.

TL;DR: Internet data collection methods, with a focus on self-report questionnaires from self-selected samples, are evaluated and compared with traditional paper-and-pencil methods and it is concluded that Internet methods can contribute to many areas of psychology.
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