Amazon Mechanical Turk workers can provide consistent and economically meaningful data.
Amazon Mechanical Turk (AMT) is an online labor market that is being used increasingly often in the social sciences. This occurs despite significant questions regarding efficacy of the platform. In this article, we attempt to address some of these questions by exploring the consistency of the charac...
| Publicado en: | Southern Economic Journal Vol. 87; no. 1; pp. 369 - 386 |
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| Autores principales: | , |
| Formato: | Artículo |
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Wiley-Blackwell
Jul2020
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| Acceso en línea: | Ver este registro en EBSCOhost |
| fields | @attributes: recordID: 1 pdfLink: plink: https://search.ebscohost.com/login.aspx?direct=true&db=ssf&AN=144686404&site=ehost-live header: @attributes: shortDbName: ssf uiTerm: 144686404 longDbName: Social Sciences Full Text (H.W. Wilson) uiTag: AN controlInfo: bkinfo: jinfo: jid: 00384038 SEJ jtl: Southern Economic Journal issn: 00384038 maglogo: N pubinfo: dt: Jul2020 vid: 87 iid: 1 pid: 480 pub: Wiley-Blackwell artinfo: ui: 144686404 10.1002/soej.12451 ppf: 369 ppct: 17 formats: fmt: – @attributes: type: T – @attributes: type: C – @attributes: type: P size: 1.8MB tig: atl: Amazon Mechanical Turk workers can provide consistent and economically meaningful data. aug: au: Johnson, David Ryan, John Barry affil: Department of Economics, University of Central Missouri, Warrensburg Missouri, USA Department of Political Science, Stony Brook University, Stony Brook New York, USA su: Labor market Employees Data quality sug: subj: Labor market Employees Data quality keyword: Amazon Mechanical Turk consistency impulsivity online experiment risk Amazon Mechanical Turk consistency impulsivity online experiment risk ab: Amazon Mechanical Turk (AMT) is an online labor market that is being used increasingly often in the social sciences. This occurs despite significant questions regarding efficacy of the platform. In this article, we attempt to address some of these questions by exploring the consistency of the characteristics of individuals who participate in studies posted on AMT. The primary individuals analyzed in this study are subjects who participated in at least two of eleven experiments that were run on AMT between September of 2012 and January of 2018. We demonstrate subjects consistently report their age, gender, subjective willingness to take risk, and impulsiveness. Further, subjective willingness to take risk is found to be significantly correlated with decisions made in a simple lottery experiment with real stakes—even when the subjective risk measure is reported months, sometimes years, in the past. This suggests the quality of data obtained via AMT is not terribly harmed by the lack of control and low stakes. pubtype: Academic Journal doctype: Article src: R language: English refInfo: copyright: @attributes: flag: N holdings: @attributes: islocal: N |
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