0000000000282722

AUTHOR

Rafał Muda

showing 2 related works from this author

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

2023

Funder: Amazon Web Services (AWS) Imagine Grant

Statistics and Probability223 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 copingBF Psychology230 Affective NeuroscienceHealth Behaviorand 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 73Message framingDiseasesLibrary and Information Sciences:Ciências Sociais::Psicologia [Domínio/Área Científica]geographical and cultural context characterizationHV Social pathology. Social and public welfare. CriminologypandemiatEducationa general questionnaire examining health prevention behaviors and COVID-19 experienceddc:150SDG 3 - Good Health and Well-beingRA0421 Public health. Hygiene. Preventive MedicineSurveys and QuestionnairesAdaptation PsychologicalyleiskartoituksetHumansPendienteHealth behaviorsPandemicsframingBehaviour Change and Well-beingEmotion regulationSelf-determination messagingand self-determination across a diverseCOVID-19kansainvälinen vertailuResearch dataComputer Science Applicationswhich can be merged with other time-sampled or geographic data.cognitive reappraisalsglobal sample obtained at the onset of the COVID-19 pandemicterveyskäyttäytyminenIn response to the COVID-19 pandemic/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingand autonomy framing manipulations on behavioral intentions and affective measures. The data collected (April to October 2020) included specific measures for each experimental studyStatistics Probability and UncertaintyPeople’s healthtutkimusaineistosurvey-tutkimusDatasetInformation Systemsthe Psychological Science Accelerator coordinated three large-scale psychological studies to examine the effects of loss-gain framing
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National identity predicts public health support during a global pandemic

2022

Funder: Research Council of Norway through its Centres of Excellence Scheme, FAIR project No 262675

IMAGEHealth BehaviorCOVID-19 ; national identity ; public health ; pandemic ; cross-culturalCollective narcissismSettore SECS-P/02 - Politica Economicahealth behaviorSociologyRA0421 Public health. Hygiene. Preventive MedicineSettore SECS-P/01 - Economia Politicapublic health behaviours COVID-19 collective behaviourPublic health[SHS.SOCIO]Humanities and Social Sciences/SociologySocial IdentificationQ/706/689/477/2811articleSocial identityPublic Health Global Health Social Medicine and Epidemiology[SHS.ECO]Humanities and Social Sciences/Economics and Finance3142 Public health care science environmental and occupational healthVDP::Medisinske Fag: 700::Helsefag: 8005141 SociologySettore SECS-P/03 - Scienza delle Finanze/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingNational identityHumanCross-Cultural ComparisonBF PsychologyScienceCOVID-19 pandemicBFnational narcissismHV Social pathology. Social and public welfare. CriminologyCOVID-19; Cross-Cultural Comparison; Health Behavior; Humans; Leadership; Pandemics; Public Health; SARS-CoV-2; Self Report; Social Identification; Social ConformityHuman development/692/699/255/2514SDG 3 - Good Health and Well-beingSocial ConformityHuman behaviournational identitypolitical ideologyHumansCOLLECTIVE NARCISSISMSOCIAL IDENTITYPandemicsMCCPandemicIDENTIFICATIONSARS-CoV-2COVID-19DAS[SHS.SCIPO]Humanities and Social Sciences/Political scienceCoronavirusMODELLeadershipFolkhälsovetenskap global hälsa socialmedicin och epidemiologiViral infectionIdenficationImageRA Public aspects of medicine[SDV.SPEE]Life Sciences [q-bio]/Santé publique et épidémiologieHuman medicineSelf ReportRAModel
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