A guilt-free strategy increases self-reported non-compliance with COVID-19 preventive measures: Experimental evidence from 12 countries.
| Autor: | Daoust JF; University of Edinburgh, Edinburgh, United Kingdom., Bélanger É; McGill University, Montreal, Canada., Dassonneville R; Université de Montréal, Montreal, Canada., Lachapelle E; Université de Montréal, Montreal, Canada., Nadeau R; Université de Montréal, Montreal, Canada., Becher M; IAST & IE University, Segovia, Spain., Brouard S; Sciences Po-CEVIPOF, Paris, France., Foucault M; Sciences Po-CEVIPOF, Paris, France., Hönnige C; University of Hanover, Hanover, Germany., Stegmueller D; Duke University, Durham, North Carolina, United States of America. |
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| Jazyk: | angličtina |
| Zdroj: | PloS one [PLoS One] 2021 Apr 21; Vol. 16 (4), pp. e0249914. Date of Electronic Publication: 2021 Apr 21 (Print Publication: 2021). |
| DOI: | 10.1371/journal.pone.0249914 |
| Abstrakt: | 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. Competing Interests: The authors have declared that no competing interests exist. |
| Databáze: | MEDLINE |
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