dc.contributor.author | Kühne, Simon | de |
dc.contributor.author | Zindel, Zaza | de |
dc.date.accessioned | 2020-12-28T12:25:57Z | |
dc.date.available | 2020-12-28T12:25:57Z | |
dc.date.issued | 2020 | de |
dc.identifier.issn | 2296-4754 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/71054 | |
dc.description.abstract | In 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.language | en | de |
dc.subject.other | Facebook; Instagram; non-probability samples; Nonresponse; rare populations; social media; Social media survey | de |
dc.title | Using Facebook and Instagram to Recruit Web Survey Participants: A Step-by-Step Guide and Application | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | Survey Methods: Insights from the Field | |
dc.publisher.country | DEU | |
dc.subject.thesoz | Online-Befragung | de |
dc.subject.thesoz | online survey | en |
dc.subject.thesoz | Facebook | de |
dc.subject.thesoz | facebook | en |
dc.subject.thesoz | Soziale Medien | de |
dc.subject.thesoz | social media | en |
dc.subject.thesoz | Mobiltelefon | de |
dc.subject.thesoz | cell phone | en |
dc.subject.thesoz | Antwortverhalten | de |
dc.subject.thesoz | response behavior | en |
dc.subject.thesoz | Bundesrepublik Deutschland | de |
dc.subject.thesoz | Federal Republic of Germany | en |
dc.subject.thesoz | Datengewinnung | de |
dc.subject.thesoz | data capture | en |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
internal.status | noch nicht fertig erschlossen | de |
internal.identifier.thesoz | 10037911 | |
internal.identifier.thesoz | 10085689 | |
internal.identifier.thesoz | 10094228 | |
internal.identifier.thesoz | 10060117 | |
internal.identifier.thesoz | 10035808 | |
internal.identifier.thesoz | 10037571 | |
internal.identifier.thesoz | 10040547 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 1-14 | de |
internal.identifier.journal | 472 | |
internal.identifier.document | 32 | |
dc.source.issuetopic | Advancements in Online and Mobile Survey Methods | de |
dc.identifier.doi | https://doi.org/10.13094/SMIF-2020-00017 | de |
dc.description.pubstatus | Veröffentlichungsversion | de |
dc.description.pubstatus | Published Version | en |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
internal.pdf.wellformed | true | |
internal.pdf.encrypted | false | |
ssoar.urn.registration | false | de |