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

Erin M Buchanan; Savannah Lewis; Bastien Paris; Patrick S Forscher; Jeffrey M Pavlacic; Julie E Beshears; Shira Meir Drexler; Amélie Gourdon-Kanhukamwe; Peter R Mallik; Barnaby J W Dixson; See article text for complete list of authors

doi:10.1038/s41597-022-01811-7

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

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

Erin M Buchanan, Savannah Lewis, Bastien Paris, Patrick S Forscher, Jeffrey M Pavlacic, Julie E Beshears, Shira Meir Drexler, Amélie Gourdon-Kanhukamwe, Peter R Mallik, Barnaby J W Dixson, …

Scientific Data, Vol.10(1), pp.1-15

2023

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

PMCID: PMC9918828

PMID: 36774440

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Abstract

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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.

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Title: The Psychological Science Accelerator’s COVID-19 rapid-response dataset
Authors: Erin M Buchanan (Corresponding Author) - Harrisburg University of Science and Technology
Savannah Lewis (Author) - Ashland University
Bastien Paris (Author) - Université Grenoble Alpes
Patrick S Forscher (Author) - Busara Center for Behavioral Economics
Jeffrey M Pavlacic (Author) - University of Mississippi
Julie E Beshears (Author) - Alliant International University
Shira Meir Drexler (Author) - St. Mauritius Therapieklinik
Amélie Gourdon-Kanhukamwe (Author) - King's College London
Peter R Mallik (Author) - Decision Research
Barnaby J W Dixson (Author) - University of the Sunshine Coast, Queensland, School of Health - Psychology
See article text for complete list of authors (Author)
Publication details: Scientific Data, Vol.10(1), pp.1-15
Publisher: Nature Publishing Group
Date published: 2023
DOI: 10.1038/s41597-022-01811-7
ISSN: 2052-4463
PMID: 36774440; PMC9918828
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 license, and indicate if changes were made. The images or other third party material in this article are included in the article’s Creative Commons license, unless indicated otherwise in a credit line to the material. If material is not included in the article’s Creative Commons license 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 license, visit http://creativecommons.org/licenses/by/4.0/.
Organisation Unit: Australian Centre for Pacific Islands Research; School of Health - Psychology
Language: English
Record Identifier: 99719198002621
Output Type: Journal article

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Collaboration types: Industry collaboration; Domestic collaboration; International collaboration
Web Of Science research areas: Psychology, Experimental