Publikation:

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

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Datum

2023

Autor:innen

Buchanan, Erin N.
Lewis, Savannah C.
Paris, Bastien
Forscher, Patrick S.
Pavlacic, Jeffrey M.
Beshears, Julie E.
Meir Drexler, Shira
Gourdon-Kanhukamwe, Amélie
Mallik, Peter R.
et al.

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oops

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Published

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Scientific Data. Springer Nature. 2023, 10, 87. eISSN 2052-4463. Available under: doi: 10.1038/s41597-022-01811-7

Zusammenfassung

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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150 Psychologie

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Diseases, Research data

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ISO 690BUCHANAN, Erin N., Savannah C. LEWIS, Bastien PARIS, Patrick S. FORSCHER, Jeffrey M. PAVLACIC, Julie E. BESHEARS, Shira MEIR DREXLER, Amélie GOURDON-KANHUKAMWE, Peter R. MALLIK, Ulf-Dietrich REIPS, 2023. The Psychological Science Accelerator’s COVID-19 rapid-response dataset. In: Scientific Data. Springer Nature. 2023, 10, 87. eISSN 2052-4463. Available under: doi: 10.1038/s41597-022-01811-7
BibTex
@article{Buchanan2023Psych-66078,
  year={2023},
  doi={10.1038/s41597-022-01811-7},
  title={The Psychological Science Accelerator’s COVID-19 rapid-response dataset},
  volume={10},
  journal={Scientific Data},
  author={Buchanan, Erin N. and Lewis, Savannah C. and Paris, Bastien and Forscher, Patrick S. and Pavlacic, Jeffrey M. and Beshears, Julie E. and Meir Drexler, Shira and Gourdon-Kanhukamwe, Amélie and Mallik, Peter R. and Reips, Ulf-Dietrich},
  note={Article Number: 87}
}
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