Skip to main content

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

Buchanan, E., Lewis, S., Paris, B, Forscher, P., Pavlacic, J., Beshears, J., Drexler, S., Gourdon-Kanhukamwe, A, Mallik, P., Silan, M., Miller, J., IJzerman, H, Moshontz, H, Beaudry, J., Suchow, J., Chartier, C., Coles, N., Sharifian, M, Todsen, A., Levitan, C., Azevedo, F, Legate, N, Heller, B, Rothman, A., Dorison, C., Gill, B., Wang, K, Rees, V., Gibbs, N, Goldenberg, A, Thi Nguyen, T, Gross, J., Kaminski, G, von Bastian, C., Paruzel-Czachura, M, Mosannenzadeh, F, Azouaghe, S, Bran, A, Ruiz-Fernandez, S, Santos, A., Reggev, N, Zickfeld, J., Akkas, H, Pantazi, M, Ropovik, I, Korbmacher, M, Arriaga, P, Gjoneska, B, Warmelink, L, Alves, S., de Holanda Coelho, G., Stieger, S, Schei, V, Hanel, P., Szaszi, B, Fedotov, M, Antfolk, J, Marcu, G, Schrötter, J, Kunst, J., Geiger, S., Adetula, A, Kocalar, H., Kielińska, J, Kačmár, P, Bokkour, A, Galindo-Caballero, O., Djamai, I, Pöntinen, S., AGESIN, B., Jernsäther, T, Urooj, A, Rachev, N., Koptjevskaja-Tamm, M, Kurfalı, M, Pit, I., Li, R, Çoksan, S, Dubrov, D, Paltrow, T., Baník, G, Korobova, T, Studzinska, A, Jiang, X, Aruta, J., Vintr, J, Chiu, F, Kaliska, L, Berkessel, J., Tümer, M, Morales-Izquierdo, S, Chuan-Peng, H, Vezirian, K, Rosa, A., Bialobrzeska, O, Vasilev, M. R., Beitner, J, Kácha, O, Žuro, B, Westerlund, M, Nedelcheva-Datsova, M, Findor, A, Krupić, D, Kowal, M, Askelund, A., Pourafshari, R, Đorđević, J., Schmidt, N, Baklanova, E, Szala, A, Zakharov, I, Vranka, M., Ihaya, K, Grano, C, Cellini, N, Białek, M, Anton-Boicuk, L, Dalgar, I, Adıgüzel, A, Verharen, J., Maturan, P., Kassianos, A., Oliveira, R, Čadek, M, Adoric, V., Özdoğru, A., Sverdrup, T., Aczel, B, Zambrano, D, Ahmed, A, Tamnes, C., Yamada, Y, Volz, L, Sunami, N, Suter, L, Vieira, L, Groyecka-Bernard, A, Kamburidis, J., Reips, U, Harutyunyan, M, Adetula, G., Allred, T., Barzykowski, K, Antazo, B., Zsido, A., Šakan, D., Cyrus-Lai, W, Ahlgren, L., Hruška, M, Vega, D, Manunta, E, Mokady, A, Capizzi, M, Martončik, M, Say, N, Filip, K, Vilar, R, Staniaszek, K, Vdovic, M, Adamkovic, M, Johannes, N, Hajdu, N, Cohen, N, Overkott, C, Krupić, D, Hubena, B, Nilsonne, G, Mioni, G, Solorzano, C., Ishii, T, Chen, Z, Kushnir, E, Karaarslan, C, Ribeiro, R., Khaoudi, A, Kossowska, M, Bavolar, J, Hoyer, K, Roczniewska, M, Karababa, A, Becker, M, Monteiro, R., Kunisato, Y, Metin-Orta, I, Adamus, S, Kozma, L, Czarnek, G, Domurat, A, Štrukelj, E, Alvarez, D., Parzuchowski, M, Massoni, S, Czamanski-Cohen, J, Pronizius, E, Muchembled, F, van Schie, K, Saçaklı, A, Hristova, E, Kuzminska, A., Charyate, A, Bijlstra, G, Afhami, R, Majeed, N., Musser, E., Sirota, M, Ross, R., Yeung, S., Papadatou-Pastou, M, Foroni, F, Almeida, I., Grigoryev, D, Lewis, D., Holford, D., Janssen, S., Tatachari, S, Batres, C, Olofsson, J., Daches, S, Belaus, A, Pfuhl, G, Corral-Frias, N., Sousa, D, Röer, J., Isager, P., Godbersen, H, Walczak, R., Van Doren, N, Ren, D, Gill, T, Voracek, M, DeBruine, L., Anne, M, Očovaj, S., Thomas, A., Arvanitis, A, Ostermann, T, Wolfe, K, Arinze, N., Bundt, C, Lamm, C, Calin-Jageman, R., Davis, W., Karekla, M, Zorjan, S, Jaremka, L., Uttley, J, Hricova, M, Koehn, M., Kiselnikova, N, Bai, H, Krafnick, A., Balci, B., Ballantyne, T, Lins, S, Vally, Z, Esteban-Serna, C, Schmidt, K, Macapagal, P., Szwed, P, Zdybek, P., Moreau, D, Collins, W., Joy-Gaba, J., Vilares, I, Tran, U., Boudesseul, J, Albayrak-Aydemir, N, Dixson, B., Perillo, J., Ferreira, A, Westgate, E., Aberson, C., Arinze, A., Jaeger, B, Butt, M., Silva, J., Storage, D., Janak, A., Jiménez-Leal, W, Soto, J., Sorokowska, A, McCarthy, R, Tullett, A., Frias-Armenta, M, Ribeiro, M., Hartanto, A, Forbes, P., Willis, M., del Carmen Tejada R, M, Torres, A., Stephen, I., Vaidis, D., de la Rosa-Gómez, A, Yu, K, Sutherland, C., Manavalan, M, Behzadnia, B, Urban, J, Baskin, E and McFall, J., 2023. The Psychological Science Accelerator’s COVID-19 rapid-response dataset. Scientific Data, 10 (1), 87.

Full text available as:

[img]
Preview
PDF
s41597-022-01811-7.pdf - Published Version
Available under License Creative Commons Attribution Non-commercial.

1MB

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.

Item Type:Article
ISSN:2052-4463
Additional Information:The online version contains supplementary material available at https://doi.org/10.1038/s41597-022-01811-7.
Group:Faculty of Science & Technology
ID Code:38301
Deposited By: Symplectic RT2
Deposited On:27 Feb 2023 16:23
Last Modified:27 Feb 2023 16:23

Downloads

Downloads per month over past year

More statistics for this item...
Repository Staff Only -