Contextualization of Survey Data: What Do We Gain and Does It Matter?
Contextualization of Survey Data: What Do We Gain and Does It Matter?
复制标题
调查数据的情境化：我们获得了什么以及重要吗？
DOI：
10.1080/15427609.2017.1340049
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发表时间：
2017
影响因子：
2.4
通讯作者：
Kemp,BlakeleeR
中科院分区：
文献类型：
--
作者：
Wilkinson,LindsayR;Ferraro,KennethF;Kemp,BlakeleeR
近几十年来，整合背景数据的调查研究设计变得越来越普遍，大概是为了更精确地关注作为分析单位的人，并更加强调由于社会力量和背景条件而产生的个体间差异。本文回顾了不同的方法来语境化调查数据，并探讨了两个数据源的受访者信息：采访者的评级和邻里信息（通过人口普查测量）的价值。健康与退休研究的数据说明了综合方法的实用性。结果显示，通过使用语境化的方法取得了一定的进展，但也表明，忽视语境因素可能会导致误导的实质性结论，特别是对老年人的种族和少数民族。为了提高调查数据的生态有效性，研究者应该为特定的研究问题选择理论上有意义的背景数据，并考虑跨层次的相互作用。
Survey research designs that integrate contextual data have become more prevalent in recent decades, presumably to enable a more refined focus on the person as the unit of analysis and a greater emphasis on interindividual differences due to social forces and contextual conditions. This article reviews varied approaches to contextualizing survey data and examines the value of linking two data sources to respondent information: interviewer ratings and neighborhood information (measured via census tracts). The utility of an integrative approach is illustrated with data from the Health and Retirement Study. The results reveal modest gains by using a contextualized approach but also demonstrate that neglecting contextual factors may lead to misdirected substantive conclusions, especially for older racial and ethnic minorities. To enhance the ecological validity of survey data, investigators should select theoretically-meaningful contextual data for specific research questions and consider cross-level interactions.