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Reputation as a sufficient condition for data quality on Amazon Mechanical Turk

Overview of attention for article published in Behavior Research Methods, December 2013
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About this Attention Score

  • In the top 25% of all research outputs scored by Altmetric
  • High Attention Score compared to outputs of the same age (93rd percentile)
  • High Attention Score compared to outputs of the same age and source (96th percentile)

Mentioned by

blogs
1 blog
policy
1 policy source
twitter
15 X users
peer_reviews
1 peer review site

Citations

dimensions_citation
1277 Dimensions

Readers on

mendeley
639 Mendeley
Title
Reputation as a sufficient condition for data quality on Amazon Mechanical Turk
Published in
Behavior Research Methods, December 2013
DOI 10.3758/s13428-013-0434-y
Pubmed ID
Authors

Eyal Peer, Joachim Vosgerau, Alessandro Acquisti

Abstract

Data quality is one of the major concerns of using crowdsourcing websites such as Amazon Mechanical Turk (MTurk) to recruit participants for online behavioral studies. We compared two methods for ensuring data quality on MTurk: attention check questions (ACQs) and restricting participation to MTurk workers with high reputation (above 95% approval ratings). In Experiment 1, we found that high-reputation workers rarely failed ACQs and provided higher-quality data than did low-reputation workers; ACQs improved data quality only for low-reputation workers, and only in some cases. Experiment 2 corroborated these findings and also showed that more productive high-reputation workers produce the highest-quality data. We concluded that sampling high-reputation workers can ensure high-quality data without having to resort to using ACQs, which may lead to selection bias if participants who fail ACQs are excluded post-hoc.

X Demographics

X Demographics

The data shown below were collected from the profiles of 15 X users who shared this research output. Click here to find out more about how the information was compiled.
Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 639 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 14 2%
Canada 3 <1%
Germany 2 <1%
Netherlands 2 <1%
United Kingdom 2 <1%
Italy 1 <1%
Austria 1 <1%
Finland 1 <1%
Israel 1 <1%
Other 5 <1%
Unknown 607 95%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 181 28%
Student > Master 80 13%
Student > Doctoral Student 75 12%
Researcher 53 8%
Student > Bachelor 48 8%
Other 94 15%
Unknown 108 17%
Readers by discipline Count As %
Psychology 187 29%
Business, Management and Accounting 102 16%
Social Sciences 63 10%
Computer Science 55 9%
Medicine and Dentistry 16 3%
Other 69 11%
Unknown 147 23%
Attention Score in Context

Attention Score in Context

This research output has an Altmetric Attention Score of 21. This is our high-level measure of the quality and quantity of online attention that it has received. This Attention Score, as well as the ranking and number of research outputs shown below, was calculated when the research output was last mentioned on 04 August 2021.
All research outputs
#1,816,855
of 25,715,849 outputs
Outputs from Behavior Research Methods
#175
of 2,574 outputs
Outputs of similar age
#19,887
of 322,324 outputs
Outputs of similar age from Behavior Research Methods
#1
of 25 outputs
Altmetric has tracked 25,715,849 research outputs across all sources so far. Compared to these this one has done particularly well and is in the 92nd percentile: it's in the top 10% of all research outputs ever tracked by Altmetric.
So far Altmetric has tracked 2,574 research outputs from this source. They typically receive more attention than average, with a mean Attention Score of 8.0. This one has done particularly well, scoring higher than 93% of its peers.
Older research outputs will score higher simply because they've had more time to accumulate mentions. To account for age we can compare this Altmetric Attention Score to the 322,324 tracked outputs that were published within six weeks on either side of this one in any source. This one has done particularly well, scoring higher than 93% of its contemporaries.
We're also able to compare this research output to 25 others from the same source and published within six weeks on either side of this one. This one has done particularly well, scoring higher than 96% of its contemporaries.