Steve Buchheit, Marcus M. Doxey, Troy Pollard, Shane R. Stinson
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引用次数: 54
摘要
摘要：多位社会科学研究人员声称，主要通过亚马逊的机械土耳其人（MTurk）进行的在线数据收集已经彻底改变了行为科学（Gureckis et al.2016；Litman、Robinson和Abberbock，2017）。尽管近年来基于MTurk的研究呈指数级增长（Chandler和Shapiro，2016年），但人们对在线研究参与者代理传统研究参与者的能力提出了合理的担忧（Chandlers、Mueller和Paolacci，2014年）。本文回顾了最近的MTurk研究，并为从行为会计研究人员感兴趣的人群中招募MTurk参与者样本提供了进一步的指导。首先，我们为使用MTurk的物流提供指导，并讨论第三方服务提供商TurkPrime提供的潜在好处。其次，我们讨论了如何克服与在线环境中有针对性的参与者招募相关的挑战。最后，我们提出了作者可能提供的有关披露的建议。。。
A Technical Guide to Using Amazon's Mechanical Turk in Behavioral Accounting Research
ABSTRACT: Multiple social science researchers claim that online data collection, mainly via Amazon's Mechanical Turk (MTurk), has revolutionized the behavioral sciences (Gureckis et al. 2016; Litman, Robinson, and Abberbock 2017). While MTurk-based research has grown exponentially in recent years (Chandler and Shapiro 2016), reasonable concerns have been raised about online research participants' ability to proxy for traditional research participants (Chandler, Mueller, and Paolacci 2014). This paper reviews recent MTurk research and provides further guidance for recruiting samples of MTurk participants from populations of interest to behavioral accounting researchers. First, we provide guidance on the logistics of using MTurk and discuss the potential benefits offered by TurkPrime, a third-party service provider. Second, we discuss ways to overcome challenges related to targeted participant recruiting in an online environment. Finally, we offer suggestions for disclosures that authors may provide about t...
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