Yan Ting, Yang Xin Rosalynn, Sun Hanyu, Cantor David
Westat, Rockville, Maryland, United States of America.
Google, Washington, District of Columbia, United States of America.
PLoS One. 2024 Aug 1;19(8):e0307272. doi: 10.1371/journal.pone.0307272. eCollection 2024.
In face-to-face household surveys, field interviewers are sometimes asked to make notes of characteristics of the dwelling unit on the sampled address as well as its surroundings before making contact with a household member living at the sample address. Field interviewer observations of this kind are used to improve efficiency of field data collection and to be used as nonresponse adjustment. However, field interviewer observations can be expensive and the quality of observations needs to be improved. Recently, survey organizations start to utilize Google Street View to conduct virtual observations of the dwelling unit and the neighborhood. This paper reports a feasibility study that evaluates the feasibility of using virtual observations, assesses its agreement with field interviewer observation results, and examine whether virtual observations correlate with survey response status and survey estimates. We found moderate to high agreements between virtual and interviewer observation results. We also found that some observation results are significantly related to response status and survey estimates. However, virtual observations using GSV have coverage issues, which could limit their potential use.
在面对面的住户调查中，实地访谈员有时会被要求在与居住在抽样地址的住户成员取得联系之前，记录抽样地址处居住单元及其周边环境的特征。实地访谈员的这类观察用于提高实地数据收集的效率，并用作无回答调整。然而，实地访谈员的观察可能成本高昂，且观察质量有待提高。最近，调查机构开始利用谷歌街景对居住单元和社区进行虚拟观察。本文报告了一项可行性研究，该研究评估了使用虚拟观察的可行性，评估其与实地访谈员观察结果的一致性，并检验虚拟观察是否与调查回答状况和调查估计相关。我们发现虚拟观察结果与访谈员观察结果之间存在中度到高度的一致性。我们还发现，一些观察结果与回答状况和调查估计显著相关。然而，使用谷歌街景进行的虚拟观察存在覆盖问题，这可能会限制其潜在用途。
