0000000001005612

AUTHOR

Marcel Martončik

showing 9 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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Contextual factors predicting compliance behavior during the COVID-19 pandemic: A machine learning analysis on survey data from 16 countries.

2022

Voluntary isolation is one of the most effective methods for individuals to help prevent the transmission of diseases such as COVID-19. Understanding why people leave their homes when advised not to do so and identifying what contextual factors predict this non-compliant behavior is essential for policymakers and public health officials. To provide insight on these factors, we collected data from 42,169 individuals across 16 countries. Participants responded to items inquiring about their socio-cultural environment, such as the adherence of fellow citizens, as well as their mental states, such as their level of loneliness and boredom. We trained random forest models to predict whether someo…

MultidisciplinaryPhysical Distancingsocial distancingCOVID-19:Ciências Sociais::Psicologia [Domínio/Área Científica]lockdownMachine Learningvoluntary isolationCommunicable Disease ControlHumansmulti-national studySettore M-PSI/05 - Psicologia SocialePandemicsrandom forestPloS one
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A multi-country test of brief reappraisal interventions on emotions during the COVID-19 pandemic

2021

© The Author(s), under exclusive licence to Springer Nature Limited 2021, corrected publication 2022

MaleSTRESSEmotionsPsychological interventionSocial Sciences[SHS.PSY]Humanities and Social Sciences/PsychologyREAPPRAISAL INTERVENTIONSBehavioral neuroscienceNEGATIVE AND POSITIVE EMOTIONSBehavioral Neuroscience0302 clinical medicineddc:150[STAT.ML]Statistics [stat]/Machine Learning [stat.ML]PandemicPsychologyANXIETYCovid-19 reappraisal emotionsR PACKAGE//purl.org/becyt/ford/5.1 [https]ComputingMilieux_MISCELLANEOUSRepurposingmedia_common//purl.org/becyt/ford/5 [https]05 social sciencesDIVERGENT ASSOCIATIONSPOSITIVE EMOTIONS3. Good health[SCCO.PSYC]Cognitive science/PsychologyMULTI-COUNTRY TESTadult; COVID-19; female; humans; male; emotional regulation; emotions/dk/atira/pure/sustainabledevelopmentgoals/good_health_and_well_beingAnxietyFemaleCOGNITIVE REAPPRAISALPsychological resiliencemedicine.symptomPsychology[STAT.ME]Statistics [stat]/Methodology [stat.ME]Clinical psychologyAdultSocial Psychologymedia_common.quotation_subjectExperimental and Cognitive PsychologyArticle050105 experimental psychologyCognitive reappraisal03 medical and health sciencesSDG 3 - Good Health and Well-beingHuman behaviourmedicineHumans0501 psychology and cognitive sciencesMETAANALYSISBehaviour Change and Well-beingpandemicCOVID-19reappraisalRESILIENCENEGATIVE AFFECTMental healthEmotional RegulationREGULATION STRATEGIES030217 neurology & neurosurgeryNature Human Behaviour
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Measuring Internet Gaming Disorder and Gaming Disorder: A Qualitative Content Validity Analysis of Validated Scales

2021

Numerous instruments have been developed to measure gaming-related health problems based on “internet gaming disorder” (IGD) in the third section of the Diagnostic and Statistical Manual of Mental Disorders (5th ed.) and “gaming disorder” (GD) in the International Classification of Diseases (11th rev.). However, the criteria in the manuals tend to be operationalized in numerous diverse ways, which can make screening outcomes incomparable. A content validity analysis is needed to reassess the relationships between the diagnostic criteria and the items that operationalize them. The IGD and GD criteria were divided into sematic components. A qualitative content validity analysis was carried o…

Clinical PsychologyHealth problemsbusiness.industryApplied psychologyContent validityThe InternetbusinessPsychologyApplied PsychologyAssessment
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Reply to Billieux and Fournier (2022) : collaborative shortcut to ontological diversity

2022

pelitpelaaminenongelmapelaaminenpelitutkimustietokonepelit
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Risk and protective factors for (internet) gaming disorder: A meta-analysis of pre-COVID studies.

2023

This large-scale meta-analysis aimed to provide the most comprehensive synthesis to date of the available evidence from the pre-COVID period on risk and protective factors for (internet) gaming disorder (as defined in the DSM-5 or ICD-11) across all studied populations. The risk/protective factors included demographic characteristics, psychological, psychopathological, social, and gaming-related factors. In total, we have included 1586 effects from 253 different studies, summarizing data from 210557 participants. Apart from estimating these predictive associations and relevant moderating effects, we implemented state-of-the-art adjustments for publication bias, psychometric artifacts, and o…

gaming addictionInternetpelaaminenprotective factorvideopelitinternet gaming disorderMedicine (miscellaneous)riskitekijätnettiriippuvuusongelmapelaaminenToxicologyvideo gamegaming disorderPsychiatry and Mental healthClinical Psychologyrisk factorriippuvuusAddictive behaviors
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Ontological diversity in gaming disorder measurement: a nationally representative registered report

2022

Gaming-related health problems have been researched since the 1980s with numerous different ontologies as reference systems, from self-assessed ‘game addiction’ to ‘pathological gambling’ (in the Diagnostic and Statistical Manual of Mental Disorders [DSM]-IV), ‘internet gaming disorder’ (in the third section of the DSM-5) and most recently ‘gaming disorder’ (in the International Classification of Diseases [ICD]-11). Our goal was to investigate how screening instruments that derive from different ontologies differ in identifying associated problem groups. By using four central screening instruments, each representing a different ontological basis, we hypothesized differences and similarities…

pelihimopelaaminenseulontatutkimussairastavuustechnology useriippuvuusmielenterveyshäiriötprevalenceMedicine (miscellaneous)Behavioral addictionongelmapelaaminen
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Measuring Internet Gaming Disorder and Gaming Disorder : A Qualitative Content Validity Analysis of Validated Scales

2021

Numerous instruments have been developed to measure gaming-related health problems based on “internet gaming disorder” (IGD) in the third section of the Diagnostic and Statistical Manual of Mental Disorders (5th ed.) and “gaming disorder” (GD) in the International Classification of Diseases (11th rev.). However, the criteria in the manuals tend to be operationalized in numerous diverse ways, which can make screening outcomes incomparable. A content validity analysis is needed to reassess the relationships between the diagnostic criteria and the items that operationalize them. The IGD and GD criteria were divided into sematic components. A qualitative content validity analysis was carried ou…

pelaaminencontent validitymittauskäyttömielenterveysongelmatmittausmenetelmätpelihimogaming disorderpelitkriteeritsemantic analysismielenterveysqualitative assessmenttechnology useriippuvuusteknologiahaitatterveyshaitataddiction
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Network Structures of Internet Gaming Disorder and Gaming Disorder: Symptom Operationalization Causes Variation

2022

Background: From 2022, the ICD-11 includes the first mental disorder based on digital technology, “gaming disorder”, which was previously suggested as a condition for further study in the DSM-5 (2013). In this cross-sectional study, we provide the first large-scale network analysis of various symptom structures for these constructs to understand the complex interconnections between their proposed symptoms. Methods: Culturally diverse samples of 2,846 digital game players (M = 25.3 years) and 746 esports players (M = 23.5 years) were recruited. A network approach was applied to explore a multiverse of gaming disorder symptom structures, effects of item operationalization, and possible extern…

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