Type
Article
Titre
A guilt-free strategy increases self-reported non-compliance with COVID-19 preventive measures : Experimental evidence from 12 countries
Dans
PLos ONE
Auteur(s)
DAOUST Jean-François - University of Edinburgh (Auteur)
BÉLANGER Eric - McGill University (Auteur)
DASSONNEVILLE Ruth - Département de science politique, Université de Montréal (Auteur)
LACHAPELLE Erik, Département De Science Politique - Département de science politique (Université de Montréal) (DSP) (Auteur)
NADEAU Richard - (Auteur)
BECHER Michael - Toulouse School of Economics (TSE) (Auteur)
BROUARD Sylvain - Centre de recherches politiques de Sciences Po (Auteur)
FOUCAULT Martial - Centre de recherches politiques de Sciences Po (Auteur)
HÖNNIGE Christoph - Leibniz Universität Hannover (Auteur)
STEGMUELLER Daniel - Duke University (Auteur)
Éditeur
US : Public Library of Science
Volume
16
Numéro
4
ISSN
19326203
Mots clés
Citizens' compliance, COVID-19
Résumé
EN
Studies of citizens’ compliance with COVID-19 preventive measures routinely rely on survey data. While such data are essential, public health restrictions provide clear signals of what is socially desirable in this context, creating a potential source of response bias in self-reported measures of compliance. In this research, we examine whether the results of a guilt-free strategy recently proposed to lessen this constraint are generalizable across twelve countries, and whether the treatment effect varies across subgroups. Our findings show that the guilt-free strategy is a useful tool in every country included, increasing respondents’ proclivity to report non-compliance by 9 to 16 percentage points. This effect holds for different subgroups based on gender, age and education. We conclude that the inclusion of this strategy should be the new standard for survey research that aims to provide crucial data on the current pandemic.

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