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Book ; Online ; Thesis ; E-Book: Psychologie der Nierenlebendspende

Hudeček, Matthias

Stressoren und Ressourcen von Spendern und Empfängern

(Research)

2017

Author's details	Matthias Hudeček
Series title	Research
Keywords	Psychology ; Health psychology ; Personality ; Social psychology ; Nierenkrankheit ; Lebendspende ; Organspender ; Nierenkranker ; Stressbewältigung ; Selbstwirksamkeit
Subject	Selbsteffizienz ; Self-Efficacy ; Stress ; Stressmanagement ; Lebendorganspende ; Nephropathie ; Nierenerkrankung ; Nierenerkrankungen ; Niere ; Renopathie
Subject code	155.2 ; 302
Language	German
Size	1 Online-Ressource (179 Seiten), Illustrationen
Publisher	Springer
Publishing place	Wiesbaden
Publishing country	Germany
Document type	Book ; Online ; Thesis ; E-Book
Thesis / German Habilitation thesis	Dissertation, Ludwig-Maximilians-Universität München, 2016
Remark	Zugriff für angemeldete ZB MED-Nutzerinnen und -Nutzer
HBZ-ID	HT019618940
ISBN	978-3-658-15690-9 ; 9783658156893 ; 3-658-15690-2 ; 3658156899
DOI	10.1007/978-3-658-15690-9
Database	ZB MED Catalogue: Medicine, Health, Nutrition, Environment, Agriculture

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Article ; Online: Explainability does not mitigate the negative impact of incorrect AI advice in a personnel selection task.

Cecil, Julia / Lermer, Eva / Hudecek, Matthias F C / Sauer, Jan / Gaube, Susanne

Scientific reports

2024 Volume 14, Issue 1, Page(s) 9736

Abstract: Despite the rise of decision support systems enabled by artificial intelligence (AI) in personnel selection, their impact on decision-making processes is largely unknown. Consequently, we conducted five experiments (N = 1403 students and Human Resource ... ...

Abstract	Despite the rise of decision support systems enabled by artificial intelligence (AI) in personnel selection, their impact on decision-making processes is largely unknown. Consequently, we conducted five experiments (N = 1403 students and Human Resource Management (HRM) employees) investigating how people interact with AI-generated advice in a personnel selection task. In all pre-registered experiments, we presented correct and incorrect advice. In Experiments 1a and 1b, we manipulated the source of the advice (human vs. AI). In Experiments 2a, 2b, and 2c, we further manipulated the type of explainability of AI advice (2a and 2b: heatmaps and 2c: charts). We hypothesized that accurate and explainable advice improves decision-making. The independent variables were regressed on task performance, perceived advice quality and confidence ratings. The results consistently showed that incorrect advice negatively impacted performance, as people failed to dismiss it (i.e., overreliance). Additionally, we found that the effects of source and explainability of advice on the dependent variables were limited. The lack of reduction in participants' overreliance on inaccurate advice when the systems' predictions were made more explainable highlights the complexity of human-AI interaction and the need for regulation and quality standards in HRM.
MeSH term(s)	Humans ; Female ; Male ; Artificial Intelligence ; Adult ; Personnel Selection/methods ; Decision Making ; Task Performance and Analysis ; Young Adult
Language	English
Publishing date	2024-04-28
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-024-60220-5
Database	MEDical Literature Analysis and Retrieval System OnLINE

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Article ; Online: Where a psychopathic personality matters at work: a cross-industry study of the relation of dark triad and psychological capital.

Stephan, Birgit / Lechner, Dominik / Stockkamp, Mariella / Hudecek, Matthias F C / Frey, Dieter / Lermer, Eva

BMC psychology

2023 Volume 11, Issue 1, Page(s) 236

Abstract: Background: The concepts of Dark Triad and Psychological Capital (PsyCap) have been extensively researched separately, but until one recent study, their interrelation has not been investigated. Purpose of this study was to uncover differences of the ... ...

Abstract	Background: The concepts of Dark Triad and Psychological Capital (PsyCap) have been extensively researched separately, but until one recent study, their interrelation has not been investigated. Purpose of this study was to uncover differences of the relationship of both concepts across work related industries. Methods: In total, 2,109 German employees across 11 industries completed a questionnaire on Dark Triad (narcissism, psychopathy and Machiavellianism) and PsyCap. Multiple regression analyses were used to test the association of both concepts across industries. Results: Values of narcissism, psychopathy and PsyCap generally differed between industries. No significant differences were found for Machiavellianism. While narcissism relates positively to PsyCap in all industry sectors, psychopathy only showed a negative relation to PsyCap in some sectors. For industries architecture, automotive and consulting, psychopathy did not significantly predict PsyCap. Conclusions: We argue that different expectations of employees per industry make it easier or harder for different personalities to assimilate (homogeneity hypothesis) to the work context (measured by PsyCap). Future studies should investigate this further with other variables such as person-organization-fit. This study was, however, the first to simultaneously investigate Dark Triad and PsyCap among employees and their respective industry. It extends previous findings by revealing differences of both concepts across and within industry sectors. The study can help to reconsider in which industries Dark Triad personality affects PsyCap as antecedent of workplace outcomes such as work satisfaction or job performance.
MeSH term(s)	Humans ; Antisocial Personality Disorder ; Personality ; Personality Disorders ; Workplace ; Job Satisfaction
Language	English
Publishing date	2023-08-17
Publishing country	England
Document type	Journal Article
ZDB-ID	2705921-2
ISSN	2050-7283 ; 2050-7283
ISSN (online)	2050-7283
ISSN	2050-7283
DOI	10.1186/s40359-023-01266-4
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Article ; Online: Surfing in the streets: How problematic smartphone use, fear of missing out, and antisocial personality traits are linked to driving behavior.

Hudecek, Matthias F C / Lemster, Simon / Fischer, Peter / Cecil, Julia / Frey, Dieter / Gaube, Susanne / Lermer, Eva

PloS one

2023 Volume 18, Issue 4, Page(s) e0284984

Abstract: Smartphone use while driving (SUWD) is a major cause of accidents and fatal crashes. This serious problem is still too little understood to be solved. Therefore, the current research aimed to contribute to a better understanding of SUWD by examining ... ...

Abstract	Smartphone use while driving (SUWD) is a major cause of accidents and fatal crashes. This serious problem is still too little understood to be solved. Therefore, the current research aimed to contribute to a better understanding of SUWD by examining factors that have received little or no attention in this context: problematic smartphone use (PSU), fear of missing out (FOMO), and Dark Triad. In the first step, we conducted a systematic literature review to map the current state of research on these factors. In the second step, we conducted a cross-sectional study and collected data from 989 German car drivers. A clear majority (61%) admitted to using the smartphone while driving at least occasionally. Further, the results showed that FOMO is positively linked to PSU and that both are positively associated with SUWD. Additionally, we found that Dark Triad traits are relevant predictors of SUWD and other problematic driving behaviors--in particular, psychopathy is associated with committed traffic offenses. Thus, results indicate that PSU, FOMO, and Dark Triad are relevant factors to explain SUWD. We hope to contribute to a more comprehensive understanding of this dangerous phenomenon with these findings.
MeSH term(s)	Humans ; Antisocial Personality Disorder ; Smartphone ; Cross-Sectional Studies ; Fear ; Surveys and Questionnaires
Language	English
Publishing date	2023-04-27
Publishing country	United States
Document type	Systematic Review ; Journal Article
ZDB-ID	2267670-3
ISSN	1932-6203 ; 1932-6203
ISSN (online)	1932-6203
ISSN	1932-6203
DOI	10.1371/journal.pone.0284984
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Article: Measuring Gratitude in Germany: Validation Study of the German Version of the Gratitude Questionnaire-Six Item Form (GQ-6-G) and the Multi-Component Gratitude Measure (MCGM-G).

Hudecek, Matthias F C / Blabst, Nicole / Morgan, Blaire / Lermer, Eva

Frontiers in psychology

2020 Volume 11, Page(s) 590108

Abstract: The Gratitude Questionnaire-Six Item Form (GQ-6; McCullough et al., 2002) is a well-established instrument for measuring gratitude. Recently, the Multi-Component Gratitude Measure (MCGM) was developed as a more holistic approach (Morgan et al., 2017). ... ...

Abstract	The Gratitude Questionnaire-Six Item Form (GQ-6; McCullough et al., 2002) is a well-established instrument for measuring gratitude. Recently, the Multi-Component Gratitude Measure (MCGM) was developed as a more holistic approach (Morgan et al., 2017). While the GQ-6 mainly focuses on the emotional component of gratitude, the MCGM encompasses conceptual, attitudinal, and behavioral aspects. As of today, there is no validated German measure for gratitude. In order to close that research gap, the present study focused on validating the German versions of the GQ-6 (GQ-6-G) and of the MCGM (MCGM-G). In addition, multi-group comparisons were conducted to test for cultural measurement invariance. Construct validity was tested similar to original validation studies of the two scales focusing on affect, well-being, empathy, anxiety and depression. The online survey was completed in random order by 508 participants. The one-factor model of the GQ-6-G and the hierarchical structure of the MCGM-G could be replicated. However, the model fit of the Gratitude Questionnaire was significantly better after eliminating one item (GQ-5-G). Multi-group comparisons revealed cultural measurement invariance was established for the GQ-5-G and partial measurement invariance for five of six factors of the MCGM-G, respectively. Reliability analyses revealed good internal consistency for both instruments, and measures for criterion-related and discriminant validity have shown hypothesized relationships. Thus, the GQ-5-G and the MCGM-G are two instruments with good reliability and validity for measuring gratitude in Germany.
Language	English
Publishing date	2020-10-08
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2020.590108
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Article: Early and Later Perceptions and Reactions to the COVID-19 Pandemic in Germany: On Predictors of Behavioral Responses and Guideline Adherence During the Restrictions.

Lermer, Eva / Hudecek, Matthias F C / Gaube, Susanne / Raue, Martina / Batz, Falk

Frontiers in psychology

2021 Volume 12, Page(s) 769206

Abstract: In March 2020, the German government enacted measures on movement restrictions and social distancing due to the COVID-19 pandemic. As this situation was previously unknown, it raised numerous questions about people's perceptions of and behavioral ... ...

Abstract	In March 2020, the German government enacted measures on movement restrictions and social distancing due to the COVID-19 pandemic. As this situation was previously unknown, it raised numerous questions about people's perceptions of and behavioral responses to these new policies. In this context, we were specifically interested in people's trust in official information, predictors for self-prepping behavior and health behavior to protect oneself and others, and determinants for adherence to social distancing guidelines. To explore these questions, we conducted three studies in which a total of 1,368 participants were surveyed (Study 1
Language	English
Publishing date	2021-11-26
Publishing country	Switzerland
Document type	Journal Article
ZDB-ID	2563826-9
ISSN	1664-1078
ISSN	1664-1078
DOI	10.3389/fpsyg.2021.769206
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Article ; Online: Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays.

Gaube, Susanne / Suresh, Harini / Raue, Martina / Lermer, Eva / Koch, Timo K / Hudecek, Matthias F C / Ackery, Alun D / Grover, Samir C / Coughlin, Joseph F / Frey, Dieter / Kitamura, Felipe C / Ghassemi, Marzyeh / Colak, Errol

Scientific reports

2023 Volume 13, Issue 1, Page(s) 1383

Abstract: Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in healthcare. However, the impact of AI-generated advice on physicians' decision-making is underexplored. In this study, physicians received X-rays with correct diagnostic ...

Abstract	Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in healthcare. However, the impact of AI-generated advice on physicians' decision-making is underexplored. In this study, physicians received X-rays with correct diagnostic advice and were asked to make a diagnosis, rate the advice's quality, and judge their own confidence. We manipulated whether the advice came with or without a visual annotation on the X-rays, and whether it was labeled as coming from an AI or a human radiologist. Overall, receiving annotated advice from an AI resulted in the highest diagnostic accuracy. Physicians rated the quality of AI advice higher than human advice. We did not find a strong effect of either manipulation on participants' confidence. The magnitude of the effects varied between task experts and non-task experts, with the latter benefiting considerably from correct explainable AI advice. These findings raise important considerations for the deployment of diagnostic advice in healthcare.
MeSH term(s)	Humans ; X-Rays ; Artificial Intelligence ; Radiography ; Physicians ; Radiologists
Language	English
Publishing date	2023-01-25
Publishing country	England
Document type	Journal Article ; Research Support, Non-U.S. Gov't
ZDB-ID	2615211-3
ISSN	2045-2322 ; 2045-2322
ISSN (online)	2045-2322
ISSN	2045-2322
DOI	10.1038/s41598-023-28633-w
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Article: Early and later perceptions and reactions to the COVID-19 pandemic in Germany

Lermer, Eva / Hudecek, Matthias F. C. / Gaube, Susanne / Raue, Martina / Batz, Falk

Frontiers in Psychology

On predictors of behavioral responses and guideline adherence during the restrictions

2021

Title translation	Frühe und spätere Wahrnehmungen und Reaktionen auf die COVID-19-Pandemie in Deutschland: Zu den Prädiktoren für das Verhalten und die Einhaltung der Richtlinien während der Einschränkungen
Abstract	In March 2020, the German government enacted measures on movement restrictions and social distancing due to the COVID-19 pandemic. As this situation was previously unknown, it raised numerous questions about people's perceptions of and behavioral responses to these new policies. In this context, we were specifically interested in people's trust in official information, predictors for self-prepping behavior and health behavior to protect oneself and others, and determinants for adherence to social distancing guidelines. To explore these questions, we conducted three studies in which a total of 1,368 participants were surveyed (Study 1 N=377, March 2020; Study 2 N=461, April 2020; Study 3 N=530, April 2021) across Germany between March 2020 and April 2021. Results showed striking differences in the level of trust in official statistics (depending on the source). Furthermore, all three studies showed congruent findings regarding the influence of different factors on the respective behavioral responses. Trust in official statistics predicted behavioral responses in all three studies. However, it did not influence adherence to social distancing guidelines in 2020, but in 2021. Furthermore, adherence to social distancing guidelines was associated with higher acceptance rates of the measures and being older. Being female and less right-wing orientated were positively associated with guidelines adherence only in the studies from 2020. This year, political orientation moderated the association between acceptance of the measures and guideline adherence. This investigation is one of the first to examine perceptions and reactions during the COVID-19 pandemic in Germany across 1year and provides insights into important dimensions that need to be considered when communicating with the public.
Keywords	Behavior Change ; Bereitwilligkeit ; COVID-19 ; Compliance ; Health Anxiety ; Krankheitsangst ; Körperliche Distanzierung ; Pandemics ; Pandemie ; Physical Distancing ; Political Attitudes ; Politische Einstellungen ; Preventive Health Behavior ; Präventives Gesundheitsverhalten ; Trust (Social Behavior) ; Verhaltensänderung ; Vertrauen
Language	English
Document type	Article
DOI	10.3389/fpsyg.2021.769206
Database	PSYNDEX

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Article: Non-task expert physicians benefit from correct explainable AI advice when reviewing X-rays

Gaube, Susanne / Suresh, Harini / Raue, Martina / Lermer, Eva / Koch, Timo K. / Hudecek, Matthias F. C. / Ackery, Alun D. / Grover, Samir C. / Coughlin, Joseph F. / Frey, Dieter / Kitamura, Felipe C. / Ghassemi, Marzyeh / Colak, Errol

Scientific Reports

2023 Volume 13, Issue 1, Page(s) No

Title translation	Ärzte und Ärztinnen ohne aufgabenbezogenes Fachwissen profitieren von korrekt erklärbaren KI-Ratschlägen bei der Überprüfung von Röntgenbildern
Abstract	Artificial intelligence (AI)-generated clinical advice is becoming more prevalent in healthcare. However, the impact of AI-generated advice on physicians' decision-making is underexplored. In this study, physicians received X-rays with correct diagnostic advice and were asked to make a diagnosis, rate the advice's quality, and judge their own confidence. We manipulated whether the advice came with or without a visual annotation on the X-rays, and whether it was labeled as coming from an AI or a human radiologist. Overall, receiving annotated advice from an AI resulted in the highest diagnostic accuracy. Physicians rated the quality of AI advice higher than human advice. We did not find a strong effect of either manipulation on participants' confidence. The magnitude of the effects varied between task experts and non-task experts, with the latter benefiting considerably from correct explainable AI advice. These findings raise important considerations for the deployment of diagnostic advice in healthcare.
Keywords	Artificial Intelligence ; Berufliche Kompetenz ; Computer Assisted Diagnosis ; Computerunterstützte Diagnostik ; Computerunterstützte Entscheidungshilfen ; Decision Making ; Decision Support Systems ; Entscheidungsfindung ; Künstliche Intelligenz ; Medical Diagnosis ; Medical Education ; Medizinische Ausbildung ; Medizinische Diagnostik ; Physicians ; Professional Competence ; Radiologie ; Radiology ; Technik-Akzeptanz ; Technology Acceptance ; Ärztinnen und Ärzte
Language	English
Document type	Article
DOI	10.1038/s41598-023-28633-w
Database	PSYNDEX

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Article ; Online: Social and moral psychology of COVID-19 across 69 countries.

Azevedo, Flavio / Pavlović, Tomislav / Rêgo, Gabriel G / Ay, F Ceren / Gjoneska, Biljana / Etienne, Tom W / Ross, Robert M / Schönegger, Philipp / Riaño-Moreno, Julián C / Cichocka, Aleksandra / Capraro, Valerio / Cian, Luca / Longoni, Chiara / Chan, Ho Fai / Van Bavel, Jay J / Sjåstad, Hallgeir / Nezlek, John B / Alfano, Mark / Gelfand, Michele J /

Birtel, Michèle D / Cislak, Aleksandra / Lockwood, Patricia L / Abts, Koen / Agadullina, Elena / Aruta, John Jamir Benzon / Besharati, Sahba Nomvula / Bor, Alexander / Choma, Becky L / Crabtree, Charles David / Cunningham, William A / De, Koustav / Ejaz, Waqas / Elbaek, Christian T / Findor, Andrej / Flichtentrei, Daniel / Franc, Renata / Gruber, June / Gualda, Estrella / Horiuchi, Yusaku / Huynh, Toan Luu Duc / Ibanez, Agustin / Imran, Mostak Ahamed / Israelashvili, Jacob / Jasko, Katarzyna / Kantorowicz, Jaroslaw / Kantorowicz-Reznichenko, Elena / Krouwel, André / Laakasuo, Michael / Lamm, Claus / Leygue, Caroline / Lin, Ming-Jen / Mansoor, Mohammad Sabbir / Marie, Antoine / Mayiwar, Lewend / Mazepus, Honorata / McHugh, Cillian / Minda, John Paul / Mitkidis, Panagiotis / Olsson, Andreas / Otterbring, Tobias / Packer, Dominic J / Perry, Anat / Petersen, Michael Bang / Puthillam, Arathy / Rothmund, Tobias / Santamaría-García, Hernando / Schmid, Petra C / Stoyanov, Drozdstoy / Tewari, Shruti / Todosijević, Bojan / Tsakiris, Manos / Tung, Hans H / Umbres, Radu G / Vanags, Edmunds / Vlasceanu, Madalina / Vonasch, Andrew / Yucel, Meltem / Zhang, Yucheng / Abad, Mohcine / Adler, Eli / Akrawi, Narin / Mdarhri, Hamza Alaoui / Amara, Hanane / Amodio, David M / Antazo, Benedict G / Apps, Matthew / Ba, Mouhamadou Hady / Barbosa, Sergio / Bastian, Brock / Berg, Anton / Bernal-Zárate, Maria P / Bernstein, Michael / Białek, Michał / Bilancini, Ennio / Bogatyreva, Natalia / Boncinelli, Leonardo / Booth, Jonathan E / Borau, Sylvie / Buchel, Ondrej / Cameron, C Daryl / Carvalho, Chrissie F / Celadin, Tatiana / Cerami, Chiara / Chalise, Hom Nath / Cheng, Xiaojun / Cockcroft, Kate / Conway, Jane / Córdoba-Delgado, Mateo Andres / Crespi, Chiara / Crouzevialle, Marie / Cutler, Jo / Cypryańska, Marzena / Dabrowska, Justyna / Daniels, Michael A / Davis, Victoria H / Dayley, Pamala N / Delouvée, Sylvain / Denkovski, Ognjan / Dezecache, Guillaume / Dhaliwal, Nathan A / Diato, Alelie B / Di Paolo, Roberto / Drosinou, Marianna / Dulleck, Uwe / Ekmanis, Jānis / Ertan, Arhan S / Farhana, Hapsa Hossain / Farkhari, Fahima / Farmer, Harry / Fenwick, Ali / Fidanovski, Kristijan / Flew, Terry / Fraser, Shona / Frempong, Raymond Boadi / Fugelsang, Jonathan A / Gale, Jessica / Garcia-Navarro, E Begoña / Garladinne, Prasad / Ghajjou, Oussama / Gkinopoulos, Theofilos / Gray, Kurt / Griffin, Siobhán M / Gronfeldt, Bjarki / Gümren, Mert / Gurung, Ranju Lama / Halperin, Eran / Harris, Elizabeth / Herzon, Volo / Hruška, Matej / Huang, Guanxiong / Hudecek, Matthias F C / Isler, Ozan / Jangard, Simon / Jorgensen, Frederik J / Kachanoff, Frank / Kahn, John / Dangol, Apsara Katuwal / Keudel, Oleksandra / Koppel, Lina / Koverola, Mika / Kubin, Emily / Kunnari, Anton / Kutiyski, Yordan / Laguna, Oscar Moreda / Leota, Josh / Lermer, Eva / Levy, Jonathan / Levy, Neil / Li, Chunyun / Long, Elizabeth U / Maglić, Marina / McCashin, Darragh / Metcalf, Alexander L / Mikloušić, Igor / El Mimouni, Soulaimane / Miura, Asako / Molina-Paredes, Juliana / Monroy-Fonseca, César / Morales-Marente, Elena / Moreau, David / Muda, Rafał / Myer, Annalisa / Nash, Kyle / Nesh-Nash, Tarik / Nitschke, Jonas P / Nurse, Matthew S / Ohtsubo, Yohsuke / de Mello, Victoria Oldemburgo / O'Madagain, Cathal / Onderco, Michal / Palacios-Galvez, M Soledad / Palomöki, Jussi / Pan, Yafeng / Papp, Zsófia / Pärnamets, Philip / Paruzel-Czachura, Mariola / Pavlović, Zoran / Payán-Gómez, César / Perander, Silva / Pitman, Michael Mark / Prasad, Rajib / Pyrkosz-Pacyna, Joanna / Rathje, Steve / Raza, Ali / Rhee, Kasey / Robertson, Claire E / Rodríguez-Pascual, Iván / Saikkonen, Teemu / Salvador-Ginez, Octavio / Santi, Gaia C / Santiago-Tovar, Natalia / Savage, David / Scheffer, Julian A / Schultner, David T / Schutte, Enid M / Scott, Andy / Sharma, Madhavi / Sharma, Pujan / Skali, Ahmed / Stadelmann, David / Stafford, Clara Alexandra / Stanojević, Dragan / Stefaniak, Anna / Sternisko, Anni / Stoica, Augustin / Stoyanova, Kristina K / Strickland, Brent / Sundvall, Jukka / Thomas, Jeffrey P / Tinghög, Gustav / Torgler, Benno / Traast, Iris J / Tucciarelli, Raffaele / Tyrala, Michael / Ungson, Nick D / Uysal, Mete S / Van Lange, Paul A M / van Prooijen, Jan-Willem / van Rooy, Dirk / Västfjäll, Daniel / Verkoeijen, Peter / Vieira, Joana B / von Sikorski, Christian / Walker, Alexander Cameron / Watermeyer, Jennifer / Wetter, Erik / Whillans, Ashley / White, Katherine / Habib, Rishad / Willardt, Robin / Wohl, Michael J A / Wójcik, Adrian Dominik / Wu, Kaidi / Yamada, Yuki / Yilmaz, Onurcan / Yogeeswaran, Kumar / Ziemer, Carolin-Theresa / Zwaan, Rolf A / Boggio, Paulo S / Sampaio, Waldir M

Scientific data

2023 Volume 10, Issue 1, Page(s) 272

Abstract: The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective ... ...

Abstract	The COVID-19 pandemic has affected all domains of human life, including the economic and social fabric of societies. One of the central strategies for managing public health throughout the pandemic has been through persuasive messaging and collective behaviour change. To help scholars better understand the social and moral psychology behind public health behaviour, we present a dataset comprising of 51,404 individuals from 69 countries. This dataset was collected for the International Collaboration on Social & Moral Psychology of COVID-19 project (ICSMP COVID-19). This social science survey invited participants around the world to complete a series of moral and psychological measures and public health attitudes about COVID-19 during an early phase of the COVID-19 pandemic (between April and June 2020). The survey included seven broad categories of questions: COVID-19 beliefs and compliance behaviours; identity and social attitudes; ideology; health and well-being; moral beliefs and motivation; personality traits; and demographic variables. We report both raw and cleaned data, along with all survey materials, data visualisations, and psychometric evaluations of key variables.
MeSH term(s)	Humans ; Attitude ; COVID-19/psychology ; Morals ; Pandemics ; Surveys and Questionnaires ; Social Change ; Socioeconomic Factors
Language	English
Publishing date	2023-05-11
Publishing country	England
Document type	Dataset ; Journal Article
ZDB-ID	2775191-0
ISSN	2052-4463 ; 2052-4463
ISSN (online)	2052-4463
ISSN	2052-4463
DOI	10.1038/s41597-023-02080-8
Database	MEDical Literature Analysis and Retrieval System OnLINE

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