TY - JOUR
T1 - The International Climate Psychology Collaboration
T2 - Climate change-related data collected from 63 countries
AU - Doell, Kimberly C.
AU - Todorova, Boryana
AU - Vlasceanu, Madalina
AU - Bak Coleman, Joseph B.
AU - Pronizius, Ekaterina
AU - Schumann, Philipp
AU - Azevedo, Flavio
AU - Patel, Yash
AU - Berkebile-Wineberg, Michael M.
AU - Brick, Cameron
AU - Lange, Florian
AU - Grayson, Samantha J.
AU - Pei, Yifei
AU - Chakroff, Alek
AU - van den Broek, Karlijn L.
AU - Lamm, Claus
AU - Vlasceanu, Denisa
AU - Constantino, Sara M.
AU - Rathje, Steve
AU - Goldwert, Danielle
AU - Fang, Ke
AU - Aglioti, Salvatore Maria
AU - Alfano, Mark
AU - Alvarado-Yepez, Andy J.
AU - Andersen, Angélica
AU - Anseel, Frederik
AU - Apps, Matthew A.J.
AU - Asadli, Chillar
AU - Awuor, Fonda Jane
AU - Basaglia, Piero
AU - Bélanger, Jocelyn J.
AU - Berger, Sebastian
AU - Bertin, Paul
AU - Bialek, Michal
AU - Bialobrzeska, Olga
AU - Blaya-Burgo, Michelle
AU - Bleize, Daniëlle N.M.
AU - Bø, Simen
AU - Boecker, Lea
AU - Boggio, Paulo S.
AU - Borau, Sylvie
AU - Borau, Sylvie
AU - Bos, Björn
AU - Bouguettaya, Ayoub
AU - Brauer, Markus
AU - Brik, Tymofii
AU - Briker, Roman
AU - Brosch, Tobias
AU - Buchel, Ondrej
AU - Buonauro, Daniel
AU - Et al.
N1 - data source: Data and materials availability: The data can be downloaded from https://zenodo.org/records/10345806. All data and code can also be found on GitHub (https://github.com/josephbb/ManyLabsClimate and https://github.com/mvlasceanu/ClimateTournament). The interventions (in each language) can be accessed as qsf files (to be imported in Qualtrics): https://osf.io/ytf89/files/osfstorage/6454f8d771778511d9b0f48f. A web tool for rapidly assessing which intervention is most likely to be effective at increasing climate change beliefs, policy support, information sharing, and tree-planting efforts, for any subsample target of interest, varying along demographics such as nationality, political ideology, age, gender, education, or income level can be found at https://climate-interventions.shinyapps.io/climate-interventions/. All other data needed to evaluate the conclusions in this paper are present in the paper and/or the Supplementary Materials.
PY - 2024/10/1
Y1 - 2024/10/1
N2 - 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.
AB - 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.
KW - climate-change mitigation
KW - human behaviour
U2 - 10.1038/s41597-024-03865-1
DO - 10.1038/s41597-024-03865-1
M3 - Article
SN - 2052-4463
VL - 11
JO - Scientific data
JF - Scientific data
IS - 1
M1 - 1066
ER -