TY - JOUR
T1 - Social and moral psychology of COVID-19 across 69 countries
AU - 260 authors, including
AU - Azevedo, Flavio
AU - Pavlović, Tomislav
AU - Rêgo, Gabriel G.
AU - Ay, F. Ceren
AU - Gjoneska, Biljana
AU - Etienne, Tom W.
AU - Ross, Robert M.
AU - Schönegger, Philipp
AU - Riaño-Moreno, Julián C.
AU - Cichocka, Aleksandra
AU - Capraro, Valerio
AU - Cian, Luca
AU - Longoni, Chiara
AU - Chan, Ho Fai
AU - Van Bavel, Jay J.
AU - Sjåstad, Hallgeir
AU - Nezlek, John B.
AU - Alfano, Mark
AU - Gelfand, Michele J.
AU - Birtel, Michèle D.
AU - Cislak, Aleksandra
AU - Lockwood, Patricia L.
AU - Abts, Koen
AU - Agadullina, Elena
AU - Aruta, John Jamir Benzon
AU - Besharati, Sahba Nomvula
AU - Bor, Alexander
AU - Choma, Becky L.
AU - Crabtree, Charles David
AU - Cunningham, William A.
AU - De, Koustav
AU - Ejaz, Waqas
AU - Elbaek, Christian T.
AU - Findor, Andrej
AU - Flichtentrei, Daniel
AU - Franc, Renata
AU - Gruber, June
AU - Gualda, Estrella
AU - Horiuchi, Yusaku
AU - Huynh, Toan Luu Duc
AU - Ibanez, Agustin
AU - Imran, Mostak Ahamed
AU - Israelashvili, Jacob
AU - Jasko, Katarzyna
AU - Kantorowicz, Jaroslaw
AU - Kantorowicz-Reznichenko, Elena
AU - Krouwel, André
AU - Laakasuo, Michael
AU - Lamm, Claus
AU - Huang, Guanxiong
PY - 2023
Y1 - 2023
N2 - The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behaviour change. To help scholars better understand the social and moral psychology behind public health behaviour, we present a dataset comprising of 51,404 individuals from 69 countries. This dataset was collected for the International Collaboration on Social & Moral Psychology of COVID-19 project (ICSMP COVID-19). This social science survey invited participants around the world to complete a series of moral and psychological measures and public health attitudes about COVID-19 during an early phase of the COVID-19 pandemic (between April and June 2020). The survey included seven broad categories of questions: COVID-19 beliefs and compliance behaviours; identity and social attitudes; ideology; health and well-being; moral beliefs and motivation; personality traits; and demographic variables. We report both raw and cleaned data, along with all survey materials, data visualisations, and psychometric evaluations of key variables. © 2023, The Author(s).
AB - The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behaviour change. To help scholars better understand the social and moral psychology behind public health behaviour, we present a dataset comprising of 51,404 individuals from 69 countries. This dataset was collected for the International Collaboration on Social & Moral Psychology of COVID-19 project (ICSMP COVID-19). This social science survey invited participants around the world to complete a series of moral and psychological measures and public health attitudes about COVID-19 during an early phase of the COVID-19 pandemic (between April and June 2020). The survey included seven broad categories of questions: COVID-19 beliefs and compliance behaviours; identity and social attitudes; ideology; health and well-being; moral beliefs and motivation; personality traits; and demographic variables. We report both raw and cleaned data, along with all survey materials, data visualisations, and psychometric evaluations of key variables. © 2023, The Author(s).
UR - https://www.scopus.com/pages/publications/85159738666
UR - https://www.scopus.com/record/pubmetrics.uri?eid=2-s2.0-85159738666&origin=recordpage
UR - https://app-overton-io.ezproxy.cityu.edu.hk/articles.php?query=10.1038/s41597-023-02080-8
U2 - 10.1038/s41597-023-02080-8
DO - 10.1038/s41597-023-02080-8
M3 - RGC 21 - Publication in refereed journal
C2 - 37169799
SN - 2052-4463
VL - 10
JO - Scientific Data
JF - Scientific Data
M1 - 272
ER -