**This project contains supplementary material for our study entitled “An anchor in troubled times: Trust in science before and within the COVID-19 pandemic in Germany”.** The article has been published at: Bromme, R., Mede, N. G., Thomm, E., Kremer, B., & Ziegler, R. (2022). An anchor in troubled times: Trust in science before and within the COVID-19 pandemic in Germany. *PloS One*, *17*(2). https://doi.org/10.1371/journal.pone.0262823. ______________ In this repository we share all materials necessary to reproduce the statistical analyses presented in the manuscript and the supplementary documents. Moreover, it contains roughly formatted and tables and figures of main and additional analyses, as well as English translations of the original questionnaires. The repository contains the following folders: - **01 Syntax**: Contains the R scripts used for the analyses. They have to be executed in chronological order: - <code>01_preparation_setup.R</code>: Script to import and setup the data - <code>02_results-part1_descriptive_analyses.R</code>: Script to run all analyses presented in Results Part I - <code>03_results-part2_regressions_step1.R</code>: Script to run the first set of regressions predicting trust in science using demographic variables, as well as the corresponding interaction tests (Results Part II) - <code>04_results-part2_regressions_step2.R</code>: Script to run the second set of regressions predicting trust in science using demographic variables, belief variables measured both in April 2020 and November 2020, as well as the corresponding interaction tests (Results Part II) - <code>05_results-part2_regressions_step3.R</code>: Script to run the third set of regressions predicting trust in science using demographic variables, belief variables measured both in April 2020 and November 2020, and belief variables measured only in April 2020 or November 2020 (Results Part II) Moreover, the syntaxes contain code to run additional analyses mentioned in the article (such as bootstrapping tests and analyses to test normality, homoscedasticity, and multicollinearity assumptions of the regression models). ## - **02 Data**: Contains all data required to reproduce the results. - <code>scibaro_09-19.sav</code>: Complete data of the September 2019 survey - <code>scibaro_04-20.sav</code>: Complete data of the April 2020 survey - <code>scibaro_05-20.sav</code>: Complete data of the May 2020 survey - <code>scibaro_11-20.sav</code>: Complete data of the November 2020 survey ## - **03 Tables**: Roughly formatted tables of main and additional analyses. ## - **04 Figures**: Roughly formatted figures of main and additional analyses. ## - **05 Questionnaires**: English translations of the questionnaires. _____________________ Note: The original questionnaires can be accessed at the *GESIS Data Archive*: - 09/19 survey: https://doi.org/10.4232/1.13565 - 04/20 survey: https://doi.org/10.4232/1.13574 - 05/20 survey: https://doi.org/10.4232/1.13575 - 11/20 survey: https://doi.org/10.4232/1.13769