The Psychological Science Accelerator's COVID-19 rapid-response dataset
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Author
Buchanan, Erin M.
Lewis, Savannah C.
Paris, Bastien
Forscher, Patrick S.
Pavlacic, Jeffrey M.
Beshears, Julie E.
Drexler, Shira Meir
Gourdon-Kanhukamwe, Amelie
Mallik, Peter R.
Silan, Miguel Alejandro A.
Miller, Jeremy K.
IJzerman, Hans
Moshontz, Hannah
Beaudry, Jennifer L.
Suchow, Jordan W.
Chartier, Christopher R.
Coles, Nicholas A.
Sharifian, MohammadHasan
Todsen, Anna Louise
Levitan, Carmel A.
Azevedo, Flavio
Legate, Nicole
Heller, Blake
Rothman, Alexander J.
Dorison, Charles A.
Gill, Brian P.
Wang, Ke
Rees, Vaughan W.
Gibbs, Nancy
Goldenberg, Amit
Thi Nguyen, Thuy-vy
Gross, James J.
Kaminski, Gwenael
von Bastian, Claudia C.
Paruzel-Czachura, Mariola
Mosannenzadeh, Farnaz
Azouaghe, Soufian
Bran, Alexandre
Ruiz-Fernandez, Susana
Santos, Anabela Caetano
Reggev, Niv
Zickfeld, Janis H.
Akkas, Handan
Pantazi, Myrto
Korbmacher, Max
Arriaga, Patricia
Gjoneska, Biljana
Warmelink, Lara
Alves, Sara G.
de Holanda Coelho, Gabriel Lins
Stieger, Stefan
Schei, Vidar
Hanel, Paul H. P.
Szaszi, Barnabas
Fedotov, Maksim
Antfolk, Jan
Marcu, Gabriela-Mariana
Schroetter, Jana
Kunst, Jonas R.
Geiger, Sandra J.
Adetula, Adeyemi
Kocalar, Halil Emre
Kielinska, Julita
Kacmar, Pavol
Bokkour, Ahmed
Galindo-Caballero, Oscar J.
Djamai, Ikhlas
Poentinen, Sara Johanna
Agesin, Bamikole Emmanuel
Jernsaether, Teodor
Urooj, Anum
Rachev, Nikolay R.
Koptjevskaja-Tamm, Maria
Kurfali, Murathan
Pit, Ilse L.
Li, Ranran
coksan, Sami
Dubrov, Dmitrii
Paltrow, Tamar Elise
Banik, Gabriel
Korobova, Tatiana
Studzinska, Anna
Jiang, Xiaoming
Aruta, John Jamir Benzon R.
Vintr, Jáchym
Chiu, Faith
Kaliska, Lada
Berkessel, Jana B.
Tuemer, Murat
Morales-Izquierdo, Sara
Chuan-Peng, Hu
Vezirian, Kevin
Rosa, Anna Dalla
Bialobrzeska, Olga
Vasilev, Martin R.
Beitner, Julia
Kacha, Ondrej
Zuro, Barbara
Westerlund, Minja
Harutyunyan, Mikayel
Adamkovič, Matúš
Hubená, Barbora
Publication date
2023Published in
Scientific DataVolume / Issue
10 (1)ISBN / ISSN
ISSN: 2052-4463Metadata
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This publication has a published version with DOI 10.1038/s41597-022-01811-7
Abstract
In response to the COVID-19 pandemic, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing, cognitive reappraisals, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, a general questionnaire examining health prevention behaviors and COVID-19 experience, geographical and cultural context characterization, and demographic information for each participant. Each participant started the study with the same general questions and then was randomized to complete either one longer experiment or two shorter experiments. Data were provided by 73,223 participants with varying completion rates. Participants completed the survey from 111 geopolitical regions in 44 unique languages/dialects. The anonymized dataset described here is provided in both raw and processed formats to facilitate re-use and further analyses. The dataset offers secondary analytic opportunities to explore coping, framing, and self-determination across a diverse, global sample obtained at the onset of the COVID-19 pandemic, which can be merged with other time-sampled or geographic data.
Keywords
COVID-19 pandemy, psychologial studies, health prevention behaviors
Permanent link
https://hdl.handle.net/20.500.14178/2132License
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