一项使用亚马逊土耳其机器人进行的关于酒精使用情况的在线日常日记研究。
An online daily diary study of alcohol use using Amazon's Mechanical Turk.
作者信息
Boynton Marcella H, Richman Laura Smart
机构信息
Lineberger Comprehensive Cancer Center, University of North Carolina, Chapel Hill, USA.
出版信息
Drug Alcohol Rev. 2014 Jul;33(4):456-61. doi: 10.1111/dar.12163. Epub 2014 Jun 3.
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.
引言与目的
近年来，互联网接入水平达到前所未有的高度，新兴通信技术广泛普及，这使得物质使用研究人员能够接触到更多人群。尽管此类技术具有研究潜力，但利用互联网招募个人参与事件层面的研究却受到限制。本文旨在简要介绍一项关于酒精使用的在线每日日记研究的方法和结果。
设计与方法
通过亚马逊的土耳其机器人（Mechanical Turk）招募参与者。符合条件的参与者完成一份简短的筛选问卷，评估人口统计学特征和健康行为，随后一部分人被招募参与一项为期2周的酒精使用每日日记研究。
结果
从土耳其机器人样本（n = 369）得出的每日酒精数据的多层次模型重复了酒精使用每日日记研究中通常报告的几个发现。
讨论与结论
结果表明，在线招募参与者和进行调查管理对于开展酒精使用每日日记研究而言可能是一种富有成效的方法。
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