在新冠肺炎爆发期间收集50多人的调查数据:欧洲健康、老龄化和退休调查(SHARE)

IF 0.9 2区 社会学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS
A. Scherpenzeel, Kathrin Axt, M. Bergmann, S. Douhou, Andrea Oepen, Gregor Sand, Karin Schuller, Stephanie Stuck, M. Wagner, A. Börsch-Supan
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引用次数: 73

摘要

尽管新冠肺炎危机导致大量新的研究项目如蘑菇般涌现,但它对正在进行的调查研究,特别是对数据收集工作产生了严重影响。欧洲健康、老龄化和退休调查(SHARE)在其第8波数据收集过程中受到了病毒的打击,所有28个参与国的数据收集都不得不暂停。应对不断演变的危机形势并采取措施恢复实地工作对SHARE来说尤其具有挑战性,因为(1)50岁以上的人口受新冠肺炎的影响比年轻群体更严重,(2)各国政府应对疫情的措施各不相同。在这种背景下,我们讨论了在数据收集模式、问卷内容、样本设计和实际实地调查方面进行调整的可能解决方案。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Collecting survey data among the 50+ population during the COVID-19 outbreak: The Survey of Health, Ageing and Retirement in Europe (SHARE)
While the COVID-19 crisis resulted in a vast number of new research projects springing up like mushrooms everywhere, it had severe consequences for ongoing survey research and in particular for running data collections. The Survey of Health, Ageing and Retirement in Europe (SHARE) was hit by the virus in the middle of its Wave 8 data collection, which had to be suspended in all 28 participating countries. Responding to the evolving crisis situation and taking steps to resume fieldwork was especially challenging for SHARE, since (1) the 50+ population is more severely affected by COVID-19 than younger age groups and (2) the measures taken by governments in response to the outbreak differed across the countries. Against this background, we discuss possible solutions for adaptations regarding the mode of data collection, questionnaire content, sample design, and actual fieldwork.
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来源期刊
Survey Research Methods
Survey Research Methods SOCIAL SCIENCES, MATHEMATICAL METHODS-
CiteScore
7.50
自引率
4.20%
发文量
0
审稿时长
52 weeks
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