Mede, Niels G., Pennington, Charlotte R., Reynolds, James P. and (over 100 authors), et al. (2025). Perceptions of science, science communication, and climate change attitudes in 68 countries – the TISP dataset. Scientific Data, 12 (1),
Abstract
Science is integral to society because it can inform individual, government, corporate, and civil society decision-making on issues such as public health, new technologies or climate change. Yet, public distrust and populist sentiment challenge the relationship between science and society. To help researchers analyse the science-society nexus across different geographical and cultural contexts, we undertook a cross-sectional population survey resulting in a dataset of 71,922 participants in 68 countries. The data were collected between November 2022 and August 2023 as part of the global Many Labs study “Trust in Science and Science-Related Populism” (TISP). The questionnaire contained comprehensive measures for individuals’ trust in scientists, science-related populist attitudes, perceptions of the role of science in society, science media use and communication behaviour, attitudes to climate change and support for environmental policies, personality traits, political and religious views and demographic characteristics. Here, we describe the dataset, survey materials and psychometric properties of key variables. We encourage researchers to use this unique dataset for global comparative analyses on public perceptions of science and its role in society and policy-making.
Publication DOI: | https://doi.org/10.1038/s41597-024-04100-7 |
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Divisions: | College of Health & Life Sciences College of Health & Life Sciences > School of Psychology College of Health & Life Sciences > Aston Institute of Health & Neurodevelopment (AIHN) Aston University (General) |
Additional Information: | Copyright © The Authors(s) 2024. This article is licensed under a Creative Commons Attribution 4.0 International License, which permits use, sharing, adaptation, distribution and reproduction in any medium or format, as long as you give appropriate credit to the original author(s) and the source, provide a link to the Creative Commons licence, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons licence, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons licence and your intended use is not permitted by statutory regulation or exceeds the permitted use, you will need to obtain permission directly from the copyright holder. To view a copy of this licence, visit https://creativecommons.org/licenses/by/4.0/. |
Uncontrolled Keywords: | Attitude,Climate Change,Communication,Cross-Sectional Studies,Humans,Public Opinion,Science,Surveys and Questionnaires,Trust |
Publication ISSN: | 2052-4463 |
Data Access Statement: | The TISP dataset, additional data, R code, pre-computed statistical models, additional materials and high-resolution versions of the figures presented in this article are available at the OSF: https://osf.io/5c3qd (see Data Records section)51. The datasets are ready to use with popular statistical software like R (recommended), IBM SPSS Statistics and Microsoft Excel.<br/><br/>The OSF repository contains a wiki with information on the content of the folders and further instruction on how to use the files. The R code accompanying the datasets (folder 02_code) includes detailed annotations so that users can easily retrace and replicate the data-preprocessing procedures and validation analyses.<br/><br/>We developed a web-based data visualisation dashboard using R shiny97. Users may explore data on key variables of the TISP project across countries and subsamples. The dashboard is under development. It can be accessed at: https://tisp.shinyapps.io/TISP/.<br/><br/>All data as well as the R code, and pre-computed models underlying the analyses described in this article, and Figs. 1–4 in high resolution are available at the Open Science Framework: https://osf.io/5c3qd. |
Last Modified: | 25 Mar 2025 18:23 |
Date Deposited: | 24 Jan 2025 15:26 |
Full Text Link: | |
Related URLs: |
https://www.nat ... 597-024-04100-7
(Publisher URL) http://www.scop ... tnerID=8YFLogxK (Scopus URL) |
PURE Output Type: | Article |
Published Date: | 2025-01-20 |
Accepted Date: | 2024-11-08 |
Authors: |
Mede, Niels G.
Pennington, Charlotte R. ( ![]() Reynolds, James P. ( ![]() (over 100 authors), et al. |