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[journal article]

dc.contributor.authorKühne, Simonde
dc.contributor.authorZindel, Zazade
dc.date.accessioned2020-12-28T12:25:57Z
dc.date.available2020-12-28T12:25:57Z
dc.date.issued2020de
dc.identifier.issn2296-4754de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/71054
dc.description.abstractIn many countries and contexts, survey researchers are facing decreasing response rates and increasing survey costs. Data collection is even more complex and expensive when rare or hard-toreach populations are to be sampled and surveyed. In such cases alternative sampling and recruiting approaches are usually needed, including non-probability and online convenience sampling. A rather novel approach to recruiting rare populations for online and mobile-device surveys uses advertisements on social media networks. This paper provides a step-by-step guide on how to recruit web-survey participants via ads on Facebook and Instagram – two of the largest social networks worldwide. Researchers may use this paper as a starting point for setting up their own recruiting campaigns. Moreover, the paper describes the results of fieldwork for a research project in which lesbian, gay, bisexual, transsexual, and queer (LGBTQ) web-survey participants in Germany were recruited via ads on social media.de
dc.languageende
dc.subject.otherFacebook; Instagram; non-probability samples; Nonresponse; rare populations; social media; Social media surveyde
dc.titleUsing Facebook and Instagram to Recruit Web Survey Participants: A Step-by-Step Guide and Applicationde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalSurvey Methods: Insights from the Field
dc.publisher.countryDEU
dc.subject.thesozOnline-Befragungde
dc.subject.thesozonline surveyen
dc.subject.thesozFacebookde
dc.subject.thesozfacebooken
dc.subject.thesozSoziale Mediende
dc.subject.thesozsocial mediaen
dc.subject.thesozMobiltelefonde
dc.subject.thesozcell phoneen
dc.subject.thesozAntwortverhaltende
dc.subject.thesozresponse behavioren
dc.subject.thesozBundesrepublik Deutschlandde
dc.subject.thesozFederal Republic of Germanyen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
internal.statusnoch nicht fertig erschlossende
internal.identifier.thesoz10037911
internal.identifier.thesoz10085689
internal.identifier.thesoz10094228
internal.identifier.thesoz10060117
internal.identifier.thesoz10035808
internal.identifier.thesoz10037571
internal.identifier.thesoz10040547
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-14de
internal.identifier.journal472
internal.identifier.document32
dc.source.issuetopicAdvancements in Online and Mobile Survey Methodsde
dc.identifier.doihttps://doi.org/10.13094/SMIF-2020-00017de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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