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新冠疫情期间机构调查的参与情况。

Establishment survey participation during the COVID-19 pandemic.

作者信息

Küfner Benjamin, Sakshaug Joseph W, Zins Stefan

机构信息

Institute for Employment Research, Regensburgerstr. 100, 90478 Nuremberg, Germany.

University of Warwick, CV4 7AL Coventry, UK.

出版信息

J Labour Mark Res. 2022;56(1):18. doi: 10.1186/s12651-022-00321-8. Epub 2022 Nov 13.

Abstract

UNLABELLED

Establishment surveys around the globe have measured the impact of the COVID-19 pandemic on establishments' conditions and business practices. At the same time, the consequences of the pandemic, such as closures, hygiene standards, or remote work arrangements, may have also altered patterns of survey participation and introduced nonresponse bias, threatening the quality of establishment survey data. To investigate these issues, this article examines fieldwork outcomes, nonresponse bias, and predictors of survey participation in the IAB-Job Vacancy Survey. As comparisons with previous survey years show, it became more difficult to successfully interview establishments during the COVID-19 pandemic. Using linked administrative data, we show that nonresponse bias was higher in 2020 compared to previous years, even after applying the standard weighting adjustment. However, general patterns of survey participation in 2020 were similar to previous years and COVID-19 related measures were not strong predictors of survey participation in 2020. Further, we provide evidence that nonresponse bias during the pandemic can be reduced by incorporating additional administrative variables into the weighting procedure relative to the standard weighting variables. We conclude this article with a discussion of the findings and implications for survey practitioners.

SUPPLEMENTARY INFORMATION

The online version contains supplementary material available at 10.1186/s12651-022-00321-8.

摘要

未标注

全球范围内的机构调查衡量了新冠疫情对机构状况和商业行为的影响。与此同时,疫情的后果,如关闭、卫生标准或远程工作安排,可能也改变了调查参与模式并引入了无回应偏差,威胁到机构调查数据的质量。为了研究这些问题,本文考察了德国联邦劳工局职位空缺调查中的实地调查结果、无回应偏差以及调查参与的预测因素。与之前的调查年份相比,在新冠疫情期间成功采访机构变得更加困难。通过使用关联的行政数据,我们发现,即使应用了标准加权调整,2020年的无回应偏差仍高于前几年。然而,2020年调查参与的总体模式与前几年相似,与新冠疫情相关的措施并不是2020年调查参与的有力预测因素。此外,我们提供的证据表明,相对于标准加权变量,在加权程序中纳入额外的行政变量可以减少疫情期间的无回应偏差。本文最后讨论了研究结果及对调查从业者的启示。

补充信息

在线版本包含可在10.1186/s12651-022-00321-8获取的补充材料。

https://cdn.ncbi.nlm.nih.gov/pmc/blobs/4503/9660198/05832118cf06/12651_2022_321_Fig1_HTML.jpg

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