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Studying Cannabis Use Behaviors With Facebook and Web Surveys: Methods and Insights

机译:通过Facebook和网络调查研究大麻使用行为:方法和见解

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The rapid and wide-reaching expansion of internet access and digital technologies offers epidemiologists numerous opportunities to study health behaviors. One particularly promising new data collection strategy is the use of Facebook’s advertising platform in conjunction with Web-based surveys. Our research team at the Center for Technology and Behavioral Health has used this quick and cost-efficient method to recruit large samples and address unique scientific questions related to cannabis use. In conducting this research, we have gleaned several insights for using this sampling method effectively and have begun to document the characteristics of the resulting data. We believe this information could be useful to other researchers attempting to study cannabis use or, potentially, other health behaviors. The first aim of this paper is to describe case examples of procedures for using Facebook as a survey sampling method for studying cannabis use. We then present several distinctive features of the data produced using this method. Finally, we discuss the utility of this sampling method for addressing specific types of epidemiological research questions. Overall, we believe that sampling with Facebook advertisements and Web surveys is best conceptualized as a targeted, nonprobability-based method for oversampling cannabis users across the United States.
机译:互联网访问和数字技术的迅速而广泛的扩展为流行病学家提供了许多研究健康行为的机会。一种特别有希望的新数据收集策略是将Facebook广告平台与基于网络的调查结合使用。我们技术与行为健康中心的研究团队已使用这种快速且经济高效的方法来招募大量样本并解决与大麻使用有关的独特科学问题。在进行这项研究时,我们已经收集了一些有效使用这种采样方法的见解,并开始记录所得数据的特征。我们认为,这些信息可能对其他尝试研究大麻使用或其他潜在健康行为的研究人员有用。本文的第一个目的是描述使用Facebook作为研究大麻使用的调查抽样方法的程序的案例示例。然后,我们介绍使用此方法生成的数据的几个鲜明特征。最后,我们讨论了此抽样方法用于解决特定类型的流行病学研究问题的实用性。总体而言,我们认为,最好将Facebook广告和网络调查中的抽样概念化为针对美国整个大麻用户过度抽样的有针对性,基于非概率的方法。

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