The Psychological Science Accelerator's COVID-19 rapid-response dataset

Author

Erin M. BUCHANAN, Harrisburg University of Science and Technology
Andree HARTANTO, Singapore Management UniversityFollow

Publication Type

Journal Article

Version

publishedVersion

Publication Date

12-2023

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, Data paper, Open data, Psa, Psychological science accelarator, Rapid, Social psychology

Discipline

Data Science | Psychology | Public Health

Research Areas

Psychology

Publication

Scientific Data

Volume

10

Issue

1

First Page

1

Last Page

15

ISSN

2052-4463

Identifier

10.1038/s41597-022-01811-7

Publisher

Nature Research

Citation

BUCHANAN, Erin M., & HARTANTO, Andree.(2023). The Psychological Science Accelerator's COVID-19 rapid-response dataset. Scientific Data, 10(1), 1-15.

Available at: https://ink.library.smu.edu.sg/soss_research/3726

Copyright Owner and License

Authors

Creative Commons License

This work is licensed under a Creative Commons Attribution 4.0 International License.

Comments

Full list of authors: Buchanan, Erin M.; Lewis, Savannah C.; Paris, Bastien; Forscher, Patrick S.; Pavlacic, Jeffrey M.; Beshears, Julie E.; Drexler, Shira Meir; Gourdon-Kanhukamwe, Amélie; 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, Flávio; 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, Gwenaêl; 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; Ropovik, Ivan; Korbmacher, Max; Arriaga, Patrícia; 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; Schrötter, Jana; Kunst, Jonas R.

Additional URL

https://doi.org/10.1038/s41597-022-01811-7