调查COVID-19大流行的社会、经济和政治后果:一种滚动横截面方法

IF 0.9 2区 社会学 Q4 SOCIAL SCIENCES, MATHEMATICAL METHODS
C. Vezzoni, Riccardo Ladini, F. Molteni, G. D. Sani, Ferruccio Biolcati, A. Chiesi, S. Guglielmi, M. Maraffi, A. Pedrazzani, P. Segatti
{"title":"调查COVID-19大流行的社会、经济和政治后果:一种滚动横截面方法","authors":"C. Vezzoni, Riccardo Ladini, F. Molteni, G. D. Sani, Ferruccio Biolcati, A. Chiesi, S. Guglielmi, M. Maraffi, A. Pedrazzani, P. Segatti","doi":"10.18148/SRM/2020.V14I2.7745","DOIUrl":null,"url":null,"abstract":"In this article, we present an application of the rolling cross-section (RCS) design to monitor changes in public opinion during the COVID-19 pandemic in Italy (ResPOnsE Covid-19 project, University of Milan Statale). The RCS is a dynamic survey tool used predominantly in the analyses of public opinion during electoral campaigns. Because of its dynamic nature, we argue that it is an ideal instrument to monitor public opinion during a pandemic. Specifically, we present an RCS online survey implemented in Italy from April to July 2020 and we present some illustrative analyses of changes in behaviors, attitudes, and opinions during the Covid-19 crisis to highlight the potential of the design. Ultimately, we assert that RCS surveys could be very powerful instruments to inform policy makers of the dynamics of public opinion during a crisis, especially when inserted within existent high-quality survey infrastructures.","PeriodicalId":46454,"journal":{"name":"Survey Research Methods","volume":"14 1","pages":"187-194"},"PeriodicalIF":0.9000,"publicationDate":"2020-06-02","publicationTypes":"Journal Article","fieldsOfStudy":null,"isOpenAccess":false,"openAccessPdf":"","citationCount":"10","resultStr":"{\"title\":\"Investigating the social, economic and political consequences of the COVID-19 pandemic: A rolling cross-section approach\",\"authors\":\"C. Vezzoni, Riccardo Ladini, F. Molteni, G. D. Sani, Ferruccio Biolcati, A. Chiesi, S. Guglielmi, M. Maraffi, A. Pedrazzani, P. Segatti\",\"doi\":\"10.18148/SRM/2020.V14I2.7745\",\"DOIUrl\":null,\"url\":null,\"abstract\":\"In this article, we present an application of the rolling cross-section (RCS) design to monitor changes in public opinion during the COVID-19 pandemic in Italy (ResPOnsE Covid-19 project, University of Milan Statale). The RCS is a dynamic survey tool used predominantly in the analyses of public opinion during electoral campaigns. Because of its dynamic nature, we argue that it is an ideal instrument to monitor public opinion during a pandemic. Specifically, we present an RCS online survey implemented in Italy from April to July 2020 and we present some illustrative analyses of changes in behaviors, attitudes, and opinions during the Covid-19 crisis to highlight the potential of the design. Ultimately, we assert that RCS surveys could be very powerful instruments to inform policy makers of the dynamics of public opinion during a crisis, especially when inserted within existent high-quality survey infrastructures.\",\"PeriodicalId\":46454,\"journal\":{\"name\":\"Survey Research Methods\",\"volume\":\"14 1\",\"pages\":\"187-194\"},\"PeriodicalIF\":0.9000,\"publicationDate\":\"2020-06-02\",\"publicationTypes\":\"Journal Article\",\"fieldsOfStudy\":null,\"isOpenAccess\":false,\"openAccessPdf\":\"\",\"citationCount\":\"10\",\"resultStr\":null,\"platform\":\"Semanticscholar\",\"paperid\":null,\"PeriodicalName\":\"Survey Research Methods\",\"FirstCategoryId\":\"90\",\"ListUrlMain\":\"https://doi.org/10.18148/SRM/2020.V14I2.7745\",\"RegionNum\":2,\"RegionCategory\":\"社会学\",\"ArticlePicture\":[],\"TitleCN\":null,\"AbstractTextCN\":null,\"PMCID\":null,\"EPubDate\":\"\",\"PubModel\":\"\",\"JCR\":\"Q4\",\"JCRName\":\"SOCIAL SCIENCES, MATHEMATICAL METHODS\",\"Score\":null,\"Total\":0}","platform":"Semanticscholar","paperid":null,"PeriodicalName":"Survey Research Methods","FirstCategoryId":"90","ListUrlMain":"https://doi.org/10.18148/SRM/2020.V14I2.7745","RegionNum":2,"RegionCategory":"社会学","ArticlePicture":[],"TitleCN":null,"AbstractTextCN":null,"PMCID":null,"EPubDate":"","PubModel":"","JCR":"Q4","JCRName":"SOCIAL SCIENCES, MATHEMATICAL METHODS","Score":null,"Total":0}
引用次数: 10

摘要

在这篇文章中,我们介绍了滚动截面(RCS)设计在意大利新冠肺炎大流行期间监测公众舆论变化的应用(ResPOnsE新冠肺炎项目,米兰国家大学)。RCS是一种动态调查工具,主要用于竞选期间的民意分析。由于其动态性,我们认为它是在疫情期间监测公众舆论的理想工具。具体而言,我们介绍了2020年4月至7月在意大利实施的RCS在线调查,并对新冠肺炎危机期间行为、态度和意见的变化进行了一些说明性分析,以突出设计的潜力。最终,我们断言,RCS调查可能是非常有力的工具,可以让决策者了解危机期间的民意动态,尤其是当插入现有的高质量调查基础设施中时。
本文章由计算机程序翻译,如有差异,请以英文原文为准。
Investigating the social, economic and political consequences of the COVID-19 pandemic: A rolling cross-section approach
In this article, we present an application of the rolling cross-section (RCS) design to monitor changes in public opinion during the COVID-19 pandemic in Italy (ResPOnsE Covid-19 project, University of Milan Statale). The RCS is a dynamic survey tool used predominantly in the analyses of public opinion during electoral campaigns. Because of its dynamic nature, we argue that it is an ideal instrument to monitor public opinion during a pandemic. Specifically, we present an RCS online survey implemented in Italy from April to July 2020 and we present some illustrative analyses of changes in behaviors, attitudes, and opinions during the Covid-19 crisis to highlight the potential of the design. Ultimately, we assert that RCS surveys could be very powerful instruments to inform policy makers of the dynamics of public opinion during a crisis, especially when inserted within existent high-quality survey infrastructures.
求助全文
通过发布文献求助,成功后即可免费获取论文全文。 去求助
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
×
引用
GB/T 7714-2015
复制
MLA
复制
APA
复制
导出至
BibTeX EndNote RefMan NoteFirst NoteExpress
×
提示
您的信息不完整,为了账户安全,请先补充。
现在去补充
×
提示
您因"违规操作"
具体请查看互助需知
我知道了
×
提示
确定
请完成安全验证×
copy
已复制链接
快去分享给好友吧!
我知道了
右上角分享
点击右上角分享
0
联系我们:info@booksci.cn Book学术提供免费学术资源搜索服务,方便国内外学者检索中英文文献。致力于提供最便捷和优质的服务体验。 Copyright © 2023 布克学术 All rights reserved.
京ICP备2023020795号-1
ghs 京公网安备 11010802042870号
Book学术文献互助
Book学术文献互助群
群 号:481959085
Book学术官方微信