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Published VersionCC BY V4.0, Open Access
Journal article
The International Climate Psychology Collaboration: Climate change-related data collected from 63 countries
Scientific Data, Vol.11, pp.1-17
2024
Abstract
Climate change is currently one of humanity’s greatest threats. To help scholars understand the psychology of climate change, we conducted an online quasi-experimental survey on 59,508 participants from 63 countries (collected between July 2022 and July 2023). In a between-subjects design, we tested 11 interventions designed to promote climate change mitigation across four outcomes: climate change belief, support for climate policies, willingness to share information on social media, and performance on an effortful pro-environmental behavioural task. Participants also reported their demographic information (e.g., age, gender) and several other independent variables (e.g., political orientation, perceptions about the scientific consensus). In the no-intervention control group, we also measured important additional variables, such as environmentalist identity and trust in climate science. We report the collaboration procedure, study design, raw and cleaned data, all survey materials, relevant analysis scripts, and data visualisations. This dataset can be used to further the understanding of psychological, demographic, and national-level factors related to individual-level climate action and how these differ across countries.
Details
- Title
- The International Climate Psychology Collaboration: Climate change-related data collected from 63 countries
- Authors
- Kimberly C Doell (Corresponding Author) - University of ViennaBoryana Todorova - University of ViennaMadalina Vlasceanu - New York UniversityJoseph B Bak-Coleman - Columbia UniversityEkaterina Pronizius - University of ViennaPhilipp Schumann - Carl von Ossietzky Universität OldenburgFlavio Azevedo - University of GroningenYash Patel - New York UniversityMichael M Berkebile-Weinberg - New York UniversityCameron Brick - University of AmsterdamSee article text for complete list of authors (Author)Yan Leung - University of the Sunshine Coast, Queensland, School of Business and Creative Industries
- Publication details
- Scientific Data, Vol.11, pp.1-17
- Publisher
- Nature Publishing Group
- Date published
- 2024
- DOI
- 10.1038/s41597-024-03865-1
- ISSN
- 2052-4463
- Copyright note
- 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 http://creativecommons.org/licenses/by/4.0/.
- Data Availability
- All data (raw and cleaned), the materials from the study (e.g., Qualtrics surveys, IRB forms, etc.), codebooks, and the code presented in this manuscript are available at https://osf.io/ytf89.
- Organisation Unit
- School of Business and Creative Industries
- Language
- English
- Record Identifier
- 991068898502621
- Output Type
- Journal article
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