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Interpretable deep learning reveals distinct spectral and temporal drivers of perceived musical emotion. [PDF]
Sci RepGu Y, Shao C, Li J, Fan Y.
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Scale Mean and Variance Differences in MTurk and Non-MTurk Samples
Journal of Personnel Psychology, 2023Abstract. We meta-analytically examined mean and variance differences between MTurk and non-MTurk samples for a variety of scales used in the organizational sciences. The influence of moderators (i.e., construct domain and valence, sample type, use of qualifications, and data cleaning procedures) was also examined.
Melissa G. Keith +2 more
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Concerns and recommendations for using Amazon
International Journal of Eating Disorders, 2021 AbstractObjectiveOur original aim was to validate and norm common eating disorder (ED) symptom measures in a large, representative community sample of transgender adults in the United States. We recruited via Amazon Mechanical Turk (MTurk), a popular online recruitment and data collection platform both within and outside of the ED field.
C. Blair Burnette +7 more
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MTurk Character Misrepresentation: Assessment and Solutions
Journal of Consumer Research, 2017Abstract This tutorial provides evidence that character misrepresentation in survey screeners by Amazon Mechanical Turk Workers (“Turkers”) can substantially and significantly distort research findings. Using five studies, we demonstrate that a large proportion of respondents in paid MTurk studies claim a false identity, ownership, or ...
Kathryn Sharpe Wessling +2 more
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The Shape of and Solutions to the MTurk Quality Crisis
SSRN Electronic Journal, 2018 Amazon’s Mechanical Turk (MTurk) is widely used to collect affordable and high-quality survey responses. However, researchers recently noticed a substantial decline in data quality, sending shockwaves throughout the social sciences. The problem seems to stem from the use of Virtual Private Servers (VPSs) by respondents outside the U.S.
Ryan Kennedy +4 more
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Cognitive Effects of Inattentive Responding in an MTurk Sample
Social Science Quarterly, 2021ObjectiveMechanical Turk (MTurk) has become an increasingly valuable sampling tool for social scientists. At the same time, concern has emerged about the quality of responses obtained from MTurk workers. This article demonstrates several screening practices for identifying problematic or inattentive MTurk participants.
Jimin Pyo, Michael G. Maxfield
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Reliability of MTurk Data From Masters and Workers
Journal of Individual Differences, 2020 Abstract. Previous research has supported the use of Amazon’s Mechanical Turk (MTurk) for online data collection in individual differences research. Although MTurk Masters have reached an elite status because of strong approval ratings on previous tasks (and therefore gain higher payment for their work) no research has empirically examined whether ...
S. Rouse
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Examining broad intellectual abilities obtained within an mTurk internet sample
Current Psychology, 2020Widely used in social science research, samples of participants obtained via Amazon’s Mechanical Turk (mTurk) tend to be representative across many sociodemographic variables. However, to date, no research has investigated and reported the global cognitive ability level (i.e., intelligence) of samples obtained via mTurk.
Zachary C. Merz +2 more
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Reply to MTurk, Prolific or panels? Choosing the right audience for online research
Social Science Research Network, 2021In a recent paper published on SSRN, Peer et al., (2021) compared data quality across five participant recruitment platforms commonly used for research in the behavioral sciences.
L. Litman +2 more
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