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[journal article]

dc.contributor.authorSchaurer, Inesde
dc.contributor.authorWeiß, Berndde
dc.date.accessioned2021-05-17T14:16:08Z
dc.date.available2021-05-17T14:16:08Z
dc.date.issued2020de
dc.identifier.issn1864-3361de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/73073
dc.description.abstractThe coronavirus SARS-CoV-2 outbreak has stimulated numerous online surveys that are mainly based on online convenience samples or commercial online access panels where participants select themselves. The results are, nevertheless, often generalized to the general population. In our paper we investigate the potential bias that is introduced by respondents' self-selection. The analysis is based on survey data of the "GESIS Panel Special Survey on the Coronavirus SARS-CoV-2 Outbreak in Germany", together with background information of the GESIS Panel. Our analyses show indication of a nonignorable amount of selection bias for measures of personality traits among online survey respondents. This provides some evidence that participating in an online survey and complying with measures that can minimize the risk of being infected with the SARS-CoV-2 virus are confounded. Hence, generalizing these results to the general population bears the risk of over or underestimating the share of the population that complies with specific measures.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otheronline survey; nonprobability sample; self-selection bias; coronavirus SARS-CoV-2; GESIS Panel special survey on the coronavirus SARS-CoV-2 outbreak in Germany (ZA5667); GESIS Panel standard edition (ZA5665)de
dc.titleInvestigating selection bias of online surveys on coronavirus-related behavioral outcomesde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalSurvey Research Methods
dc.source.volume14de
dc.publisher.countryDEU
dc.source.issue2de
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozBefragungde
dc.subject.thesozsurveyen
dc.subject.thesozOnline-Befragungde
dc.subject.thesozonline surveyen
dc.subject.thesozStichprobede
dc.subject.thesozsampleen
dc.subject.thesozSelektionsverfahrende
dc.subject.thesozselection procedureen
dc.subject.thesozEpidemiede
dc.subject.thesozepidemicen
dc.subject.thesozPanelde
dc.subject.thesozpanelen
dc.subject.thesozPersönlichkeitsmerkmalde
dc.subject.thesozpersonality traitsen
dc.subject.thesozMaßnahmede
dc.subject.thesozmeasureen
dc.subject.thesozVerhaltende
dc.subject.thesozbehavioren
dc.subject.thesozGesundheitsverhaltende
dc.subject.thesozhealth behavioren
dc.subject.thesozRisikoverhaltende
dc.subject.thesozrisk behavioren
dc.subject.thesozInfektionskrankheitde
dc.subject.thesozcontagious diseaseen
dc.subject.thesozDatende
dc.subject.thesozdataen
dc.subject.thesozSelektionde
dc.subject.thesozselectionen
dc.subject.thesozTrendde
dc.subject.thesoztrenden
dc.rights.licenceCreative Commons - Namensnennung, Nicht-kommerz. 4.0de
dc.rights.licenceCreative Commons - Attribution-NonCommercial 4.0en
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
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dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo103-108de
internal.identifier.classoz10105
internal.identifier.journal674
internal.identifier.document32
internal.identifier.ddc300
dc.source.issuetopicSurvey Research Methods During the COVID-19 Crisisde
dc.identifier.doihttps://doi.org/10.18148/srm/2020.v14i2.7751de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence32
internal.identifier.pubstatus1
internal.identifier.review1
dc.description.miscFDBde
dc.subject.classhort10100de
ssoar.wgl.collectiontruede
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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