Investigating the social, economic and political consequences of Covid-19: 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 publ...
| Main Authors: | , , , , , , , , , |
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| Format: | Article |
| Language: | English |
| Published: |
European Survey Research Association
2020-06-01
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| Series: | Survey Research Methods |
| Subjects: | |
| Online Access: | https://ojs.ub.uni-konstanz.de/srm/article/view/7745 |
| _version_ | 1811319989288828928 |
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| author | Cristiano Vezzoni Riccardo Ladini Francesco Molteni Giulia M. Dotti Sani Ferruccio Biolcati Antonio Chiesi Marco Maraffi Simona Guglielmi Andrea Pedrazzani Paolo Segatti |
| author_facet | Cristiano Vezzoni Riccardo Ladini Francesco Molteni Giulia M. Dotti Sani Ferruccio Biolcati Antonio Chiesi Marco Maraffi Simona Guglielmi Andrea Pedrazzani Paolo Segatti |
| author_sort | Cristiano Vezzoni |
| collection | DOAJ |
| description |
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.
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| first_indexed | 2024-04-13T12:51:46Z |
| format | Article |
| id | doaj.art-122e86a1489e41fba11474644a9a8a48 |
| institution | Directory Open Access Journal |
| issn | 1864-3361 |
| language | English |
| last_indexed | 2024-04-13T12:51:46Z |
| publishDate | 2020-06-01 |
| publisher | European Survey Research Association |
| record_format | Article |
| series | Survey Research Methods |
| spelling | doaj.art-122e86a1489e41fba11474644a9a8a482022-12-22T02:46:11ZengEuropean Survey Research AssociationSurvey Research Methods1864-33612020-06-0114210.18148/srm/2020.v14i2.7745Investigating the social, economic and political consequences of Covid-19: A rolling cross-section approachCristiano Vezzoni0Riccardo Ladini1Francesco Molteni2Giulia M. Dotti Sani3Ferruccio Biolcati4Antonio Chiesi5Marco Maraffi6Simona Guglielmi7Andrea Pedrazzani8Paolo Segatti9Dep. Social and Political Sciences, University of MilanDepartment of Social and Political Sciences, University of MilanDepartment of Social and Political Sciences, University of MilanDepartment of Social and Political Sciences, University of MilanDepartment of Social and Political Sciences, University of MilanDepartment of Social and Political Sciences, University of MilanDepartment of Social and Political Sciences, University of MilanDepartment of Social and Political Sciences, University of MilanDepartment of Social and Political Sciences, University of MilanDepartment of Social and Political Sciences, University of Milan 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. https://ojs.ub.uni-konstanz.de/srm/article/view/7745survey methodsdynamic analysisrolling cross-sectionCovid-19policy-makingresearch infrastructure |
| spellingShingle | Cristiano Vezzoni Riccardo Ladini Francesco Molteni Giulia M. Dotti Sani Ferruccio Biolcati Antonio Chiesi Marco Maraffi Simona Guglielmi Andrea Pedrazzani Paolo Segatti Investigating the social, economic and political consequences of Covid-19: A rolling cross-section approach Survey Research Methods survey methods dynamic analysis rolling cross-section Covid-19 policy-making research infrastructure |
| title | Investigating the social, economic and political consequences of Covid-19: A rolling cross-section approach |
| title_full | Investigating the social, economic and political consequences of Covid-19: A rolling cross-section approach |
| title_fullStr | Investigating the social, economic and political consequences of Covid-19: A rolling cross-section approach |
| title_full_unstemmed | Investigating the social, economic and political consequences of Covid-19: A rolling cross-section approach |
| title_short | Investigating the social, economic and political consequences of Covid-19: A rolling cross-section approach |
| title_sort | investigating the social economic and political consequences of covid 19 a rolling cross section approach |
| topic | survey methods dynamic analysis rolling cross-section Covid-19 policy-making research infrastructure |
| url | https://ojs.ub.uni-konstanz.de/srm/article/view/7745 |
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