Johnson Timothy P
Survey Research Laboratory, University of Illinois at Chicago, 412 S. Peoria Street, Chicago, IL 60607, USA.
Int Sch Res Notices. 2014 Nov 5;2014:923290. doi: 10.1155/2014/923290. eCollection 2014.
Population-based estimates of substance use patterns have been regularly reported now for several decades. Concerns with the quality of the survey methodologies employed to produce those estimates date back almost as far. Those concerns have led to a considerable body of research specifically focused on understanding the nature and consequences of survey-based errors in substance use epidemiology. This paper reviews and summarizes that empirical research by organizing it within a total survey error model framework that considers multiple types of representation and measurement errors. Gaps in our knowledge of error sources in substance use surveys and areas needing future research are also identified.
几十年来,基于人群的物质使用模式估计数据一直定期发布。对用于生成这些估计数据的调查方法质量的担忧几乎同样由来已久。这些担忧引发了大量专门针对理解物质使用流行病学中基于调查的误差的性质和后果的研究。本文通过在一个考虑多种代表性误差和测量误差类型的全面调查误差模型框架内对实证研究进行组织,对其进行了回顾和总结。还确定了我们在物质使用调查误差来源知识方面的差距以及需要未来研究的领域。