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2 results on '"Arinze, Azuka Ikechukwu"'

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

Author

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, Mohammad Hasan, 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., Geiger, Sandra J., Adetula, Adeyemi, Kocalar, Halil Emre, Kielińska, Julita, Kačmár, Pavol, Bokkour, Ahmed, Galindo-Caballero, Oscar J., Djamai, Ikhlas, Pöntinen, Sara Johanna, Agesin, Bamikole Emmanuel, Jernsäther, Teodor, Urooj, Anum, Rachev, Nikolay R., Koptjevskaja-Tamm, Maria, Kurfalı, Murathan, Pit, Ilse L., Li, Ranran, Çoksan, Sami, Dubrov, Dmitrii, Paltrow, Tamar Elise, Baník, Gabriel, Korobova, Tatiana, Studzinska, Anna, Jiang, Xiaoming, Aruta, John Jamir Benzon R., Vintr, Jáchym, Chiu, Faith, Kaliska, Lada, Berkessel, Jana B., Tümer, Murat, Morales-Izquierdo, Sara, Chuan-Peng, Hu, Vezirian, Kevin, Rosa, Anna Dalla, Bialobrzeska, Olga, Vasilev, Martin R., Beitner, Julia, Kácha, Ondřej, Žuro, Barbara, Westerlund, Minja, Nedelcheva-Datsova, Mina, Findor, Andrej, Krupić, Dajana, Kowal, Marta, Askelund, Adrian Dahl, Pourafshari, Razieh, Đorđević, Jasna Milošević, Schmidt, Nadya Daniela, Baklanova, Ekaterina, Szala, Anna, Zakharov, Ilya, Vranka, Marek A., Ihaya, Keiko, Grano, Caterina, Cellini, Nicola, Białek, Michał, Anton-Boicuk, Lisa, Dalgar, Ilker, Adıgüzel, Arca, Verharen, Jeroen P.H., Maturan, Princess Lovella G., Kassianos, Angelos P., Oliveira, Raquel, Čadek, Martin, Adoric, Vera Cubela, Özdoğru, Asil Ali, Sverdrup, Therese E., Aczel, Balazs, Zambrano, Danilo, Ahmed, Afroja, Tamnes, Christian K., Yamada, Yuki, Volz, Leonhard, Sunami, Naoyuki, Suter, Lilian, Vieira, Luc, Groyecka-Bernard, Agata, Kamburidis, Julia Arhondis, Reips, Ulf Dietrich, Harutyunyan, Mikayel, Adetula, Gabriel Agboola, Allred, Tara Bulut, Barzykowski, Krystian, Antazo, Benedict G., Zsido, Andras N., Šakan, Dušana Dušan, Cyrus-Lai, Wilson, Ahlgren, Lina Pernilla, Hruška, Matej, Vega, Diego, Manunta, Efisio, Mokady, Aviv, Capizzi, Mariagrazia, Martončik, Marcel, Say, Nicolas, Filip, Katarzyna, Vilar, Roosevelt, Staniaszek, Karolina, Vdovic, Milica, Adamkovic, Matus, Johannes, Niklas, Hajdu, Nandor, Cohen, Noga, Overkott, Clara, Krupić, Dino, Hubena, Barbora, Nilsonne, Gustav, Mioni, Giovanna, Solorzano, Claudio Singh, Ishii, Tatsunori, Chen, Zhang, Kushnir, Elizaveta, Karaarslan, Cemre, Ribeiro, Rafael R., Khaoudi, Ahmed, Kossowska, Małgorzata, Bavolar, Jozef, Hoyer, Karlijn, Roczniewska, Marta, Karababa, Alper, Becker, Maja, Monteiro, Renan P., Kunisato, Yoshihiko, Metin-Orta, Irem, Adamus, Sylwia, Kozma, Luca, Czarnek, Gabriela, Domurat, Artur, Štrukelj, Eva, Alvarez, Daniela Serrato, Parzuchowski, Michal, Massoni, Sébastien, Czamanski-Cohen, Johanna, Pronizius, Ekaterina, Muchembled, Fany, van Schie, Kevin, Saçaklı, Aslı, Hristova, Evgeniya, Kuzminska, Anna O., Charyate, Abdelilah, Bijlstra, Gijsbert, Afhami, Reza, Majeed, Nadyanna M., Musser, Erica D., Sirota, Miroslav, Ross, Robert M., Yeung, Siu Kit, Papadatou-Pastou, Marietta, Foroni, Francesco, Almeida, Inês A.T., Grigoryev, Dmitry, Lewis, David M.G., Holford, Dawn L., Janssen, Steve M.J., Tatachari, Srinivasan, Batres, Carlota, Olofsson, Jonas K., Daches, Shimrit, Belaus, Anabel, Pfuhl, Gerit, Corral-Frias, Nadia Sarai, Sousa, Daniela, Röer, Jan Philipp, Isager, Peder Mortvedt, Godbersen, Hendrik, Walczak, Radoslaw B., Van Doren, Natalia, Ren, Dongning, Gill, Tripat, Voracek, Martin, DeBruine, Lisa M., Anne, Michele, Očovaj, Sanja Batić, Thomas, Andrew G., Arvanitis, Alexios, Ostermann, Thomas, Wolfe, Kelly, Arinze, Nwadiogo Chisom, Bundt, Carsten, Lamm, Claus, Calin-Jageman, Robert J., Davis, William E., Karekla, Maria, Zorjan, Saša, Jaremka, Lisa M., Uttley, Jim, Hricova, Monika, Koehn, Monica A., Kiselnikova, Natalia, Bai, Hui, Krafnick, Anthony J., Balci, Busra Bahar, Ballantyne, Tonia, Lins, Samuel, Vally, Zahir, Esteban-Serna, Celia, Schmidt, Kathleen, Macapagal, Paulo Manuel L., Szwed, Paulina, Zdybek, Przemysław Marcin, Moreau, David, Collins, W. Matthew, Joy-Gaba, Jennifer A., Vilares, Iris, Tran, Ulrich S., Boudesseul, Jordane, Albayrak-Aydemir, Nihan, Dixson, Barnaby James Wyld, Perillo, Jennifer T., Ferreira, Ana, Westgate, Erin C., Aberson, Christopher L., Arinze, Azuka Ikechukwu, Jaeger, Bastian, Butt, Muhammad Mussaffa, Silva, Jaime R., Storage, Daniel Shafik, Janak, Allison P., Jiménez-Leal, William, Soto, Jose A., Sorokowska, Agnieszka, McCarthy, Randy, Tullett, Alexa M., Frias-Armenta, Martha, Ribeiro, Matheus Fernando Felix, Hartanto, Andree, Forbes, Paul A.G., Willis, Megan L., del Carmen Tejada R, María, Torres, Adriana Julieth Olaya, Stephen, Ian D., Vaidis, David C., de la Rosa-Gómez, Anabel, Yu, Karen, Sutherland, Clare A.M., Manavalan, Mathi, Behzadnia, Behzad, Urban, Jan, Baskin, Ernest, McFall, Joseph P., Ogbonnaya, Chisom Esther, Fu, Cynthia H.Y., Rahal, Rima Maria, Ndukaihe, Izuchukwu L.G., Hostler, Thomas J., Kappes, Heather Barry, Sorokowski, Piotr, Khosla, Meetu, Lazarevic, Ljiljana B., Eudave, Luis, Vilsmeier, Johannes K., Luis, Elkin O., Muda, Rafał, Agadullina, Elena, Cárcamo, Rodrigo A., Reeck, Crystal, Anjum, Gulnaz, Venegas, Mónica Camila Toro, Misiak, Michal, Ryan, Richard M., Nock, Nora L., Travaglino, Giovanni A., Mensink, Michael C., Feldman, Gilad, Wichman, Aaron L., Chou, Weilun, Ziano, Ignazio, Seehuus, Martin, Chopik, William J., Kung, Franki Y.H., Carpentier, Joelle, Vaughn, Leigh Ann, Du, Hongfei, Xiao, Qinyu, Lima, Tiago J.S., Noone, Chris, Onie, Sandersan, Verbruggen, Frederick, Radtke, Theda, Primbs, Maximilian A., Lewis, David M. G., Buchanan, Erin M [0000-0002-9689-4189], Lewis, Savannah C [0000-0002-9948-1195], Paris, Bastien [0000-0002-7197-8001], Forscher, Patrick S [0000-0002-7763-3565], Silan, Miguel Alejandro A [0000-0002-7480-3661], IJzerman, Hans [0000-0002-0990-2276], Suchow, Jordan W [0000-0001-9848-4872], Coles, Nicholas A [0000-0001-8583-5610], Levitan, Carmel A [0000-0001-5403-444X], Azevedo, Flávio [0000-0001-9000-8513], Legate, Nicole [0000-0001-8086-9643], Rees, Vaughan W [0000-0002-9939-6740], von Bastian, Claudia C [0000-0002-0667-2460], Ruiz-Fernandez, Susana [0000-0002-1709-1506], Reggev, Niv [0000-0002-5734-7457], Zickfeld, Janis H [0000-0001-7660-2719], Akkas, Handan [0000-0002-2082-0685], Ropovik, Ivan [0000-0001-5222-1233], Gjoneska, Biljana [0000-0003-1200-6672], Warmelink, Lara [0000-0003-1218-9448], Stieger, Stefan [0000-0002-7784-6624], Fedotov, Maksim [0000-0002-7100-1719], Antfolk, Jan [0000-0003-0334-4987], Marcu, Gabriela-Mariana [0000-0003-2508-3749], Schrötter, Jana [0000-0002-9830-6184], Geiger, Sandra J [0000-0002-3262-5609], Adetula, Adeyemi [0000-0001-9344-576X], Kačmár, Pavol [0000-0003-0076-1945], Galindo-Caballero, Oscar J [0000-0003-4603-6415], Jernsäther, Teodor [0000-0002-7030-3299], Rachev, Nikolay R [0000-0002-5654-2883], Koptjevskaja-Tamm, Maria [0000-0002-9592-5780], Pit, Ilse L [0000-0002-4066-8086], Li, Ranran [0000-0001-9145-4240], Baník, Gabriel [0000-0002-6601-3619], Studzinska, Anna [0000-0002-7694-4214], Berkessel, Jana B [0000-0001-5053-6901], Morales-Izquierdo, Sara [0000-0003-3240-9348], Chuan-Peng, Hu [0000-0002-7503-5131], Beitner, Julia [0000-0002-2539-7011], Kowal, Marta [0000-0001-9050-1471], Schmidt, Nadya-Daniela [0000-0002-7229-2132], Szala, Anna [0000-0002-9693-9834], Vranka, Marek A [0000-0003-3413-9062], Białek, Michał [0000-0002-5062-5733], Maturan, Princess Lovella G [0000-0001-6762-1475], Kassianos, Angelos P [0000-0001-6428-2623], Adoric, Vera Cubela [0000-0003-4752-4541], Aczel, Balazs [0000-0001-9364-4988], Yamada, Yuki [0000-0003-1431-568X], Volz, Leonhard [0000-0001-7954-3793], Sunami, Naoyuki [0000-0001-5482-8370], Suter, Lilian [0000-0001-5655-3729], Mokady, Aviv [0000-0003-4475-0332], Adamkovic, Matus [0000-0002-9648-9108], Cohen, Noga [0000-0002-7682-0289], Krupić, Dino [0000-0003-4383-7807], Nilsonne, Gustav [0000-0001-5273-0150], Solorzano, Claudio Singh [0000-0003-0402-4969], Bavolar, Jozef [0000-0003-0179-7261], Becker, Maja [0000-0003-1187-1699], Kozma, Luca [0000-0002-3297-629X], Domurat, Artur [0000-0001-5533-9106], Parzuchowski, Michal [0000-0002-8960-0277], Czamanski-Cohen, Johanna [0000-0003-3980-6848], Pronizius, Ekaterina [0000-0003-1446-196X], Musser, Erica D [0000-0003-0966-4068], Sirota, Miroslav [0000-0003-2117-9532], Ross, Robert M [0000-0001-8711-1675], Foroni, Francesco [0000-0002-4702-3678], Almeida, Inês AT [0000-0003-0230-3075], Grigoryev, Dmitry [0000-0003-4511-7942], Lewis, David MG [0000-0002-8267-5727], Holford, Dawn L [0000-0002-6392-3991], Janssen, Steve MJ [0000-0002-3100-128X], Tatachari, Srinivasan [0000-0003-1838-2361], Batres, Carlota [0000-0002-3833-7667], Olofsson, Jonas K [0000-0002-0856-0569], Belaus, Anabel [0000-0001-9657-8496], Pfuhl, Gerit [0000-0002-3271-6447], Voracek, Martin [0000-0001-6109-6155], DeBruine, Lisa M [0000-0002-7523-5539], Arvanitis, Alexios [0000-0002-3379-0286], Arinze, Nwadiogo Chisom [0000-0002-2531-6250], Lamm, Claus [0000-0002-5422-0653], Calin-Jageman, Robert J [0000-0002-9837-6529], Karekla, Maria [0000-0001-7021-7908], Hricova, Monika [0000-0001-9873-5475], Koehn, Monica A [0000-0002-4413-7709], Krafnick, Anthony J [0000-0002-1692-0413], Lins, Samuel [0000-0001-6824-4691], Albayrak-Aydemir, Nihan [0000-0003-3412-4311], Dixson, Barnaby James Wyld [0000-0003-0911-1244], Butt, Muhammad Mussaffa [0000-0001-5271-111X], Sorokowska, Agnieszka [0000-0003-3999-8851], Willis, Megan L [0000-0002-2310-0018], Stephen, Ian D [0000-0001-9714-8295], Ogbonnaya, Chisom Esther [0000-0001-6392-0865], Fu, Cynthia HY [0000-0003-4313-3500], Rahal, Rima-Maria [0000-0002-1404-0471], Lazarevic, Ljiljana B [0000-0003-1629-3699], Reeck, Crystal [0000-0002-1540-5321], Travaglino, Giovanni A [0000-0003-4091-0634], Chopik, William J [0000-0003-1748-8738], Xiao, Qinyu [0000-0002-9824-9247], Verbruggen, Frederick [0000-0002-7958-0719], Apollo - University of Cambridge Repository, MÜ, Eğitim Fakültesi, Eğitim Bilimleri Bölümü, Kocalar, Halil Emre, Repositório da Universidade de Lisboa, Organizational Psychology, Center Ph. D. Students, Department of Social Psychology, Medical and Clinical Psychology, Clinical Psychology, and Faculdade de Psicologia e de Ciências da Educação

Subjects
Statistics and Probability, 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, BF Psychology, 230 Affective Neuroscience, Health Behavior, 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, Message framing, Diseases, Library and Information Sciences, Ciências Sociais::Psicologia [Domínio/Área Científica], geographical and cultural context characterization, HV Social pathology. Social and public welfare. Criminology, pandemiat, Education, a general questionnaire examining health prevention behaviors and COVID-19 experience, ddc:150, SDG 3 - Good Health and Well-being, RA0421 Public health. Hygiene. Preventive Medicine, Surveys and Questionnaires, Adaptation, Psychological, yleiskartoitukset, Humans, Pendiente, Health behaviors, Pandemics, framing, Behaviour Change and Well-being, Emotion regulation, Self-determination messaging, and self-determination across a diverse, COVID-19, kansainvälinen vertailu, Research data, Computer Science Applications, which can be merged with other time-sampled or geographic data, cognitive reappraisals, global sample obtained at the onset of the COVID-19 pandemic, terveyskäyttäytyminen, In response to the COVID-19 pandemic, and autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental study, Statistics, Probability and Uncertainty, People’s health, tutkimusaineisto, survey-tutkimus, Dataset, Information Systems, the Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing
Abstract

Funder: Amazon Web Services (AWS) Imagine Grant, Funder: Kingston University (Kingston University, London); doi: https://doi.org/10.13039/100010049, Funder: Association Nationale de la Recherche et de la Technologie (National Association for Research and Technology); doi: https://doi.org/10.13039/501100003032, Funder: Association Nationale de la Recherche Scientifique and Pacifica (CIFRE grant 2017/0245), Funder: PRIMUS/20/HUM/009, Funder: UID/PSI/03125/2019 from the Portuguese National Foundation for Science and Technology (FCT)., Funder: PSA research grant ($285.59) for the PSACR projects data collection, Funder: The work of Dmitrii Dubrov was supported within the framework of the Basic Research Program at HSE University, RF, Funder: Agentúra na podporu výskumu a vývoja (Slovak Research and Development Agency) - APVV-17-0596, Funder: Progres Q18, Charles University, Funder: JSPS KAKENHI Grant Numbers JP18K12015 and JP20H04581, Funder: National Science Centre, Poland (2019/35/B/HS6/00528), Funder: Slovak Research and Development Agency - APVV-17-0596, Funder: Huo Family Foundation, Funder: The Japan Society for the Promotion of Science KAKENHI [19K14370], Funder: The Institute of Psychology, Jagiellonian University, Funder: Program FUTURE LEADER of Lorraine Université d’Excellence within the program Investissements Avenir (ANR-15-IDEX-04-LUE) operated by the French National Research Agency, Funder: Rubicon grant (019.183SG.007) from the Netherlands Organization for Scientific Research (NWO), Funder: Australian Research Council (DP180102384), Funder: HSE University Basic Research Program, Funder: Horizon 2020 grant 964728 (JITSUVAX) from the European Commission and was supported by a United Kingdom Research and Innovation (UKRI) Research Fellowship grant ES/V011901/1, Funder: Social Science and Humanities Research Council of Canada, Funder: Dominican University Faculty Support Grant, Funder: FONDECYT 1221538, Funder: Vicerrectoria de Investigaciones, Uniandes, Funder: Statutory funds of the Institute of Psychology, University of Wroclaw, Funder: University of Desarrollo, Faculty of Psychology, Funder: IDN Being Human Lab (University of Wrocław), Funder: ANID - Fondecyt 1201513, 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.

Published
2023
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2. A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic

Author

IJzerman, Hans, Ropovik, Ivan, Ebersole, Charles, Tidwell, Natasha, Markiewicz, Łukasz, de Lima, Tiago Jessé Souza, Wolf, Daniel, Novak, Sarah, Collins, W. Matthew, Menon, Madhavi, de Souza, Luana Elayne Cunha, Sawicki, Przemysław, Boucher, Leanne, Białek, Michał, Idzikowska, Katarzyna, Razza, Timothy, Kraus, Sue, Weissgerber, Sophia, Baník, Gabriel, Kołodziej, Sabina, Babincak, Peter, Schütz, Astrid, Sternglanz, R. Weylin, Gawryluk, Katarzyna, Sullivan, Gavin Brent, Day, Chris, Sparacio, Alessandro, Tops, Mattie, Quirin, Markus, Lewis, Neil, Przybylski, Andrew, Weinstein, Netta, DeBruine, Lisa, Ritchie, Stuart, Vazire, Simine, Forscher, Patrick, Morey, Richard, Ivory, James, Anvari, Farid, Jones, Benedict, Flake, Jessica, Liuzza, Marco Tullio, Antfolk, Jan, Arinze, Nwadiogo, Ndukaihe, Izuchukwu, Bloxsom, Nicholas, Lewis, Savannah, Foroni, Francesco, Willis, Megan, Cubillas, Carmelo, Vadillo, Miguel, Turiegano, Enrique, Gilead, Michael, Simchon, Almog, Saribay, S. Adil, Owsley, Nicholas, Jang, Chaning, Mburu, Georgina, Calvillo, Dustin, Wlodarczyk, Anna, Qi, Yue, Ariyabuddhiphongs, Kris, Jarukasemthawee, Somboon, Manley, Harry, Suavansri, Panita, Taephant, Nattasuda, Stolier, Ryan, Evans, Thomas, Bonick, Judson, Lindemans, Jan, Ashworth, Logan, Hahn, Amanda, Chevallier, Coralie, Kapucu, Aycan, Karaaslan, Aslan, Leongómez, Juan David, Sánchez, Oscar, Valderrama, Eugenio, Vásquez-Amézquita, Milena, Hajdu, Nandor, Aczel, Balazs, Szecsi, Peter, Andreychik, Michael, Musser, Erica, Batres, Carlota, Hu, Chuan-Peng, Liu, Qing-Lan, Legate, Nicole, Vaughn, Leigh Ann, Barzykowski, Krystian, Golik, Karolina, Schmid, Irina, Stieger, Stefan, Artner, Richard, Mues, Chiel, Vanpaemel, Wolf, Jiang, Zhongqing, Wu, Qi, Marcu, Gabriela, Stephen, Ian, Lu, Jackson, Philipp, Michael, Arnal, Jack, Hehman, Eric, Xie, Sally, Chopik, William, Seehuus, Martin, Azouaghe, Soufian, Belhaj, Abdelkarim, Elouafa, Jamal, Wilson, John, Kruse, Elliott, Papadatou-Pastou, Marietta, De La Rosa-Gómez, Anabel, Barba-Sánchez, Alan, González-Santoyo, Isaac, Hsu, Tsuyueh, Kung, Chun-Chia, Wang, Hsiao-Hsin, Freeman, Jonathan, Oh, Dong Won, Schei, Vidar, Sverdrup, Therese, Levitan, Carmel, Cook, Corey, Chandel, Priyanka, Kujur, Pratibha, Parganiha, Arti, Parveen, Noorshama, Pati, Atanu Kumar, Pradhan, Sraddha, Singh, Margaret, Pande, Babita, Bavolar, Jozef, Kačmár, Pavol, Zakharov, Ilya, Álvarez-Solas, Sara, Baskin, Ernest, Thirkettle, Martin, Schmidt, Kathleen, Christopherson, Cody, Leonis, Trinity, Suchow, Jordan, Olofsson, Jonas, Jernsäther, Teodor, Lee, Ai-Suan, Beaudry, Jennifer, Gogan, Taylor, Oldmeadow, Julian, Balas, Benjamin, Stevens, Laura, Colloff, Melissa, Flowe, Heather, Gülgöz, Sami, Brandt, Mark, Hoyer, Karlijn, Jaeger, Bastian, Ren, Dongning, Sleegers, Willem, Wissink, Joeri, Kaminski, Gwenaël, Floerke, Victoria, Urry, Heather, Chen, Sau-Chin, Pfuhl, Gerit, Vally, Zahir, Basnight-Brown, Dana, Jzerman, Hans, Sarda, Elisa, Neyroud, Lison, Badidi, Touhami, Van der Linden, Nicolas, Tan, Chrystalle, Kovic, Vanja, Sampaio, Waldir, Ferreira, Paulo, Santos, Diana, Burin, Debora, Gardiner, Gwendolyn, Protzko, John, Schild, Christoph, Ścigała, Karolina, Zettler, Ingo, O’Mara Kunz, Erin, Storage, Daniel, Wagemans, Fieke, Saunders, Blair, Sirota, Miroslav, Sloane, Guyan, Lima, Tiago, Uittenhove, Kim, Vergauwe, Evie, Jaworska, Katarzyna, Stern, Julia, Ask, Karl, van Zyl, Casper, Körner, Anita, Boudesseul, Jordane, Ruiz-Dodobara, Fernando, Ritchie, Kay, Michalak, Nicholas, Blake, Khandis, White, David, Gordon-Finlayson, Alasdair, Anne, Michele, Janssen, Steve, Lee, Kean Mun, Nielsen, Tonje, Tamnes, Christian, Zickfeld, Janis, Rosa, Anna Dalla, Vianello, Michelangelo, Kocsor, Ferenc, Kozma, Luca, Putz, Ádám, Tressoldi, Patrizio, Irrazabal, Natalia, Chatard, Armand, Lins, Samuel, Pinto, Isabel, Lutz, Johannes, Adamkovic, Matus, Coetzee, Vinet, Dixson, Barnaby, Ribeiro, Gianni, Peters, Kim, Steffens, Niklas, Tan, Kok Wei, Thorstenson, Christopher, Fernandez, Ana Maria, Hsu, Rafael, Valentova, Jaroslava, Varella, Marco, Corral-Frías, Nadia, Frías-Armenta, Martha, Hatami, Javad, Monajem, Arash, Sharifian, MohammadHasan, Frohlich, Brooke, Lin, Hause, Inzlicht, Michael, Alaei, Ravin, Rule, Nicholas, Lamm, Claus, Pronizius, Ekaterina, Voracek, Martin, Olsen, Jerome, Giolla, Erik Mac, Akgoz, Aysegul, Özdoğru, Asil, Crawford, Matthew, Bennett-Day, Brooke, Koehn, Monica, Okan, Ceylan, Gill, Tripat, Miller, Jeremy, Dunham, Yarrow, Yang, Xin, Alper, Sinan, Borras-Guevara, Martha Lucia, Cai, Sun Jun, Tiantian, Dong, Danvers, Alexander, Feinberg, David, Armstrong, Marie, Gilboa-Schechtman, Eva, McCarthy, Randy, Muñoz-Reyes, Jose Antonio, Polo, Pablo, Shiramazu, Victor, Yan, Wen-Jing, Carvalho, Lilian, Chartier, Christopher, Coles, Nicholas, Klein, Richard, Dujols, Olivier, van de Ven, Niels, Pich, Olivia, Schubert, Thomas, Berkessel, Jana, Pizarro, José, Bhushan, Braj, Mateo, Nino Jose, Barbosa, Sergio, Sharman, Leah, Kökönyei, Gyöngyi, 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Bedingungen: postprint, 6 Monate Embargo (Sherpa), 26.01.2022 bo

Subjects
Male, STRESS, Emotions, Psychological intervention, Social Sciences, [SHS.PSY]Humanities and Social Sciences/Psychology, REAPPRAISAL INTERVENTIONS, Behavioral neuroscience, NEGATIVE AND POSITIVE EMOTIONS, Behavioral Neuroscience, 0302 clinical medicine, ddc:150, [STAT.ML]Statistics [stat]/Machine Learning [stat.ML], Pandemic, Psychology, ANXIETY, Covid-19, reappraisal, emotions, R PACKAGE, purl.org/becyt/ford/5.1 [https], ComputingMilieux_MISCELLANEOUS, Repurposing, media_common, purl.org/becyt/ford/5 [https], 05 social sciences, DIVERGENT ASSOCIATIONS, POSITIVE EMOTIONS, 3. Good health, [SCCO.PSYC]Cognitive science/Psychology, MULTI-COUNTRY TEST, adult, COVID-19, female, humans, male, emotional regulation, emotions, Anxiety, Female, COGNITIVE REAPPRAISAL, Psychological resilience, medicine.symptom, [STAT.ME]Statistics [stat]/Methodology [stat.ME], Clinical psychology, Adult, Social Psychology, media_common.quotation_subject, Experimental and Cognitive Psychology, Article, 050105 experimental psychology, Cognitive reappraisal, 03 medical and health sciences, SDG 3 - Good Health and Well-being, Human behaviour, medicine, Humans, 0501 psychology and cognitive sciences, METAANALYSIS, Behaviour Change and Well-being, pandemic, reappraisal, RESILIENCE, NEGATIVE AFFECT, Mental health, Emotional Regulation, REGULATION STRATEGIES, 030217 neurology & neurosurgery
Abstract

© The Author(s), under exclusive licence to Springer Nature Limited 2021, corrected publication 2022, The COVID-19 pandemic has increased negative emotions and decreased positive emotions globally. Left unchecked, these emotional changes might have a wide array of adverse impacts. To reduce negative emotions and increase positive emotions, we tested the effectiveness of reappraisal, an emotion-regulation strategy that modifies how one thinks about a situation. Participants from 87 countries and regions (n = 21,644) were randomly assigned to one of two brief reappraisal interventions (reconstrual or repurposing) or one of two control conditions (active or passive). Results revealed that both reappraisal interventions (vesus both control conditions) consistently reduced negative emotions and increased positive emotions across different measures. Reconstrual and repurposing interventions had similar effects. Importantly, planned exploratory analyses indicated that reappraisal interventions did not reduce intentions to practice preventive health behaviours. The findings demonstrate the viability of creating scalable, low-cost interventions for use around the world., This project was supported by funds from: the Amazon Web Services (AWS) Imagine Grant (to E.M.B.); the Japan Society for the Promotion of Science Grants-in-Aid for Scientific Research (JSPS KAKENHI; 16h03079, 17h00875, 18k12015, and 20h04581 to Y.Y.); the research programme Dipartimenti di Eccellenza from the Ministry of Education University and Research (MIUR to N. Cellini and G.M. and the Department of General Psychology of the University of Padua); statutory funds of the University of Wroclaw (to A. Sorokowska); the Charles University Research Programme PROGRES (Q18 to M. Vranka); the Knut and Alice Wallenberg Foundation (2016:0229 to J.K.O.); the Rubicon Grant (019.183sg.007 to K.v.S.) from the Netherlands Organisation for Scientific Research; the Australian Research Council (dp180102384 to R.M.R.); the US National Institutes of Health (NIMH111640 to M.N.-D.), the Huo Family Foundation to N.J.; the NSF Directorate for Social, Behavioral and Economic Sciences, Division of Social and Economic Sciences (1559511 to J.S.L.); the US National Institutes of Health (RO1-CA-224545 to J.S.L.); Eesti Teadusagentuur–Estonian Research Council (PSG525 to A. Uusberg); the J. William Fulbright Program (to F. Azevedo); the HSE Basic Research Program (to D. Dubrov); Dominican University (a Faculty Development Grant to A. Krafnick); and the French National Research Agency Investissements d’avenir supporting PSF (ANR-15-IDEX-02 to H.I.); the Slovak Research and Development Agency (project no. APVV-20-0319 to M. Adamkovič); the programme FUTURE LEADER of Lorraine Université d’Excellence within the French National Research Agency Investissements d’avenir (ANR-15-IDEX-04-LUE to S.M.). Computation for this research was assisted by: the Harvard Business School compute cluster (HBSGrid); and the Open Science Grid. The Open Science Grid is supported by the National Science Foundation award 1148698 and the US Department of Energy’s Office of Science, as well as by the compute resources and assistance of the UW-Madison Center For High Throughput Computing (CHTC) in the Department of Computer Sciences. The CHTC is supported by UW-Madison, the Advanced Computing Initiative, the Wisconsin Alumni Research Foundation, the Wisconsin Institutes for Discovery, and the National Science Foundation, and is an active member of the Open Science Grid, which is supported by the National Science Foundation and the U.S. Department of Energy’s Office of Science.

Published
2021
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