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**This project contains supplemental material for our research note “Science-related populism declining during the COVID-19 pandemic: A panel survey of the Swiss population before and after the Coronavirus outbreak”** The article has been published at: Mede, N. G., & Schäfer, M. S. (2021). Science-related populism declining during the COVID-19 pandemic: A panel survey of the Swiss population before and after the coronavirus outbreak. *Public Understanding of Science*. Advance online publication. https://doi.org/10.1177/09636625211056871 ______________ In this repository we share all materials necessary to reproduce the statistical analyses as well as the original questionnaires and the supplemental document appended to the article. The repository contains the following folders: - **01 Data**: This folder contains all data required to reproduce the results. The data sets include only variables which are relevant for the analyses. - <code>ds19panel.rds</code>: Data of the first wave of the panel survey, conducted in June/July 2019 - <code>ds20panel.rds</code>: Data of the second wave of the panel survey, conducted in November 2020<sup>1</sup> - <code>ds19cross_nopanel.rds</code>: Data of the cross-sectional survey conducted in June/July 2019, panelists excluded - <code>ds19cross_complete.rds</code>: Data of the cross-sectional survey conducted in June/July 2019, panelists included - <code>ds20cross.rds</code>: Data of the cross-sectional survey conducted in November 2020 - <code>bfs-censusdata.xlsx</code>: Swiss census data from the Swiss Federal Statistical Office BfS, retrieved from the BfS website (“[Regionalporträts 2019: Kennzahlen aller Gemeinden][1]”)<sup>2</sup> - <code>bfs-correspondencetable.xlsx</code>: A correspondence table for matching the municipality numbers of the census data with the postal codes from the survey data (PLZs), retrieved from the BfS website (“[Umwandlung von PLZ in BFS-Gemeindenummer][2]”)<sup>2</sup> <br> - **02 Syntax**: This folder contains the R scripts used for the analyses. They have to be executed in chronological order: - <code>01_data-preparation-variable-setup.R</code>: Script to import and setup the data - <code>02_analysis.R</code>: Script to run all analyses <br> - **03 Questionnaires**: The original questionnaires used in the surveys (in German, French, and Italian). <br> - **04 Supplemental Material**: Supplemental information, tables, and figures for the article. <br> _________________________________ <sup>1</sup> The survey weights contained in this data set (which were computed by the polling company) have been raked using Swiss census data. Hence, we relied on this data set (weighted) when comparing the sociodemographic characteristics of our panel sample with the Swiss population. <sup>2</sup> We used these files to add inhabitant counts of respondents’ residence municipalities to the survey data. Inhabitant counts then served as a proxy measure for the degree of urbanity of respondents’ residence places. [1]: https://www.bfs.admin.ch/bfsstatic/dam/assets/7786544/master [2]: https://www.bfs.admin.ch/bfsstatic/dam/assets/7226419/master
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