Swapping bricks for clicks: Crowdsourcing longitudinal data on Amazon Turk
Swapping bricks for clicks: Crowdsourcing longitudinal data on Amazon Turk
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DOI：
10.1016/j.jbusres.2015.05.001
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发表时间：
2015-12-01
影响因子：
11.3
通讯作者：
Nataraajan, Rajan
中科院分区：
文献类型：
--
作者：
Daly, Timothy M.;Nataraajan, Rajan
定位可概括的纵向数据的可靠来源是商业研究的一个极其重要的问题。本文的目的是实证验证众包可以用来源纵向样本。具体而言，三项研究评估了亚马逊土耳其机械市场（MTurk）的可靠性。这三项研究都表明，MTurk是一个可靠的，廉价的来源，可推广的纵向数据。研究1（n = 752）检查了美国MTurk样本的两个月再应答率（研究1，n = 752; 75%）。研究2（n = 373）调查了美国移民样本的4个月和8个月再应答率（分别为56%和38%）。研究3检查了13个月的再应答率（47%）。每项研究都表现出最小的无响应偏差和纵向响应一致性，在人口统计学和人格特质方面。这项研究还独立验证了94%的参与者自我报告居住状态的准确性。(C)2015 Elsevier Inc. All rights reserved.
Locating reliable sources of generalizable longitudinal data is an extremely important issue for business research. The aim of this paper was to empirically verify that crowdsourcing can be used to source longitudinal samples. Specifically, three studies assess reliability of the Amazon Mechanical Turk Marketplace (MTurk). All three studies demonstrate that MTurk is a reliable, inexpensive source for generalizable longitudinal data. Study 1 (n = 752) examines the two-month re-response rate (study 1, n = 752; 75%) of a US MTurk sample. Study 2 (n = 373) investigates the four- and eight-month re-response rate (56 and 38%, respectively) of a US immigrant sample. Study 3 examines the thirteen-month re-response rate (47%). Each study demonstrates minimal non-response biases and longitudinal response consistency, in terms of both demographics and personality traits. This study also independently verifies the accuracy of self-report state of residence for 94% of the participants. (C) 2015 Elsevier Inc. All rights reserved.