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A publicação pode ser exportada nos seguintes formatos: referência da APA (American Psychological Association), referência do IEEE (Institute of Electrical and Electronics Engineers), BibTeX e RIS.

Exportar Referência (APA)
Buchanan, E. M., Lewis, S. C., Paris, B., Forscher, P. S., Pavlacic, J. M., Beshears, J. E....Primbs, M. A. (2023). The psychological science accelerator’s COVID-19 rapid-response dataset. Scientific Data. 10 (1)
Exportar Referência (IEEE)
E. M. Buchanan et al.,  "The psychological science accelerator’s COVID-19 rapid-response dataset", in Scientific Data, vol. 10, no. 1, 2023
Exportar BibTeX
@article{buchanan2023_1721787050221,
	author = "Buchanan, E. M. and Lewis, S. C. and Paris, B. and Forscher, P. S. and Pavlacic, J. M. and Beshears, J. E. and Drexler, S. M. and Gourdon-Kanhukamwe, A. and Mallik, P. and Silan, M. A. A. and Miller, J. K. and IJzerman, H. and Moshontz, H. and Beaudry, J. L. and Suchow, J. M. and Chartier, C. R. and Coles, N. A. and Arriaga, P. and Oliveira, R. and Ribeiro, R. R. and Primbs, M. A.",
	title = "The psychological science accelerator’s COVID-19 rapid-response dataset",
	journal = "Scientific Data",
	year = "2023",
	volume = "10",
	number = "1",
	doi = "10.1038/s41597-022-01811-7",
	url = "https://www.nature.com/sdata/"
}
Exportar RIS
TY  - JOUR
TI  - The psychological science accelerator’s COVID-19 rapid-response dataset
T2  - Scientific Data
VL  - 10
IS  - 1
AU  - Buchanan, E. M.
AU  - Lewis, S. C.
AU  - Paris, B.
AU  - Forscher, P. S.
AU  - Pavlacic, J. M.
AU  - Beshears, J. E.
AU  - Drexler, S. M.
AU  - Gourdon-Kanhukamwe, A.
AU  - Mallik, P.
AU  - Silan, M. A. A.
AU  - Miller, J. K.
AU  - IJzerman, H.
AU  - Moshontz, H.
AU  - Beaudry, J. L.
AU  - Suchow, J. M.
AU  - Chartier, C. R.
AU  - Coles, N. A.
AU  - Arriaga, P.
AU  - Oliveira, R.
AU  - Ribeiro, R. R.
AU  - Primbs, M. A.
PY  - 2023
SN  - 2052-4463
DO  - 10.1038/s41597-022-01811-7
UR  - https://www.nature.com/sdata/
AB  - 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.
ER  -