Interviewer Effects in Biosocial Survey Measurements

IF 1.1 3区 社会学 Q2 ANTHROPOLOGY
A. Cernat, J. Sakshaug
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引用次数: 3

Abstract

Increasingly surveys are using interviewers to collect objective health measures, also known as biomeasures, to replace or supplement traditional self-reported health measures. However, the extent to which interviewers affect the (im)precision of biomeasurements is largely unknown. This article investigates interviewer effects on several biomeasures collected in three waves of the National Social Life, Health, and Aging Project (NSHAP). Overall, we find low levels of interviewer effects, on average. This nevertheless hides important variation with touch sensory tests being especially high with 30% interviewer variation, and smell tests and timed balance/walk/chair stands having moderate interviewer variation of around 10%. Accounting for contextual variables that potentially interact with interviewer performance, including housing unit type and presence of a third person, failed to explain the interviewer variation. A discussion of these findings, their potential causes, and their implications for survey practice is provided.
访谈者对生物社会调查测量的影响
越来越多的调查使用访谈者来收集客观的健康指标,也称为生物测量,以取代或补充传统的自我报告的健康指标。然而,访谈者对生物测量精度的影响程度在很大程度上是未知的。本文调查了访谈者对国家社会生活、健康和老龄化项目(NSHAP)三波中收集的几个生物测量的影响。总体而言,我们发现平均而言,面试官的影响程度较低。然而,这掩盖了重要的差异,触觉测试尤其高,面试官的差异为30%,嗅觉测试和定时平衡/步行/椅子支架的面试官的变化中等,约为10%。考虑到可能与面试官表现相互作用的情境变量,包括住房单元类型和第三人的存在,未能解释面试官的变化。对这些发现、其潜在原因及其对调查实践的影响进行了讨论。
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来源期刊
Field Methods
Field Methods Multiple-
CiteScore
2.70
自引率
5.90%
发文量
41
期刊介绍: Field Methods (formerly Cultural Anthropology Methods) is devoted to articles about the methods used by field wzorkers in the social and behavioral sciences and humanities for the collection, management, and analysis data about human thought and/or human behavior in the natural world. Articles should focus on innovations and issues in the methods used, rather than on the reporting of research or theoretical/epistemological questions about research. High-quality articles using qualitative and quantitative methods-- from scientific or interpretative traditions-- dealing with data collection and analysis in applied and scholarly research from writers in the social sciences, humanities, and related professions are all welcome in the pages of the journal.
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