An online daily diary study of alcohol use using Amazon's Mechanical Turk
An online daily diary study of alcohol use using Amazon's Mechanical Turk
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DOI：
10.1111/dar.12163
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发表时间：
2014-07-01
影响因子：
3.8
通讯作者：
Richman, Laura Smart
中科院分区：
文献类型：
--
作者：
Boynton, Marcella H.;Richman, Laura Smart
介绍和目标。近年来，前所未有的互联网接入水平和新兴通信技术的广泛发展，使药物使用研究人员的人口访问量大大增加。尽管这些技术具有研究潜力，但利用互联网招募个人参与事件一级研究的情况有限。本文的目的是提供一个简要的方法和结果，从一个在线的每日日记研究的酒精使用。设计和方法。参与者是使用亚马逊的Mechanical Turk招募的。符合条件的参与者完成了一个简短的筛选，评估人口统计学和健康行为，随后招募了一部分人参加为期2周的每日饮酒日记研究。结果来自Mechanical Turk样本（n = 369）的日常酒精数据的多水平模型复制了日常酒精使用日记研究中常见的几个结果。讨论和结论。结果表明，在线参与者招募和调查管理可以是一个富有成效的方法进行日常日记酒精研究。
Introduction and Aims. In recent years, unprecedented levels of Internet access and the widespread growth of emergent communication technologies have resulted in significantly greater population access for substance use researchers. Despite the research potential of such technologies, the use of the Internet to recruit individuals for participation in event-level research has been limited. The purpose of this paper is to provide a brief account of the methods and results from an online daily diary study of alcohol use. Design and Methods. Participants were recruited using Amazon's Mechanical Turk. Eligible participants completed a brief screener assessing demographics and health behaviours, with a subset of individuals subsequently recruited to participate in a 2 week daily diary study of alcohol use. Results. Multilevel models of the daily alcohol data derived from the Mechanical Turk sample (n = 369) replicated several findings commonly reported in daily diary studies of alcohol use. Discussion and Conclusions. Results demonstrate that online participant recruitment and survey administration can be a fruitful method for conducting daily diary alcohol research.