dc.contributor.author | Prandner, Dimitri | de |
dc.contributor.author | Weichbold, Martin | de |
dc.date.accessioned | 2019-04-29T11:18:51Z | |
dc.date.available | 2019-04-29T11:18:51Z | |
dc.date.issued | 2019 | de |
dc.identifier.issn | 2296-4754 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/62373 | |
dc.description.abstract | Immigrants are traditionally seen as hard to survey. Their number is often too small to be
analysed via data gained in general population surveys, and registers to identify them are
often missing or incomplete. Therefore, researchers are forced to use alternatives for
sampling. In the case of the Austrian Immigrant Survey 2016, an onomastic (name-based)
approach was used, establishing a sampling frame in a two-step procedure. This article
describes the concept and the implementation of the sampling and evaluates the sample that
could be realised. | de |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | hard to reach populations; immigrants; Onomastic sampling; probability samples; sampling frame; Austrian Immigrant Survey; AIS | de |
dc.title | Building a Sampling Frame for Migrant Populations via an Onomastic Approach: Lesson learned from the Austrian
Immigrant Survey 2016 | 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.classoz | Erhebungstechniken und Analysetechniken der Sozialwissenschaften | de |
dc.subject.classoz | Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods | en |
dc.subject.thesoz | Flüchtling | de |
dc.subject.thesoz | refugee | en |
dc.subject.thesoz | Stichprobe | de |
dc.subject.thesoz | sample | en |
dc.subject.thesoz | Befragung | de |
dc.subject.thesoz | survey | en |
dc.subject.thesoz | Österreich | de |
dc.subject.thesoz | Austria | en |
dc.subject.thesoz | Name | de |
dc.subject.thesoz | name | en |
dc.subject.thesoz | Datengewinnung | de |
dc.subject.thesoz | data capture | en |
dc.subject.thesoz | Interview | de |
dc.subject.thesoz | interview | en |
dc.subject.thesoz | Zufallsauswahl | de |
dc.subject.thesoz | random sample | en |
dc.subject.thesoz | Selektionsverfahren | de |
dc.subject.thesoz | selection procedure | en |
dc.subject.thesoz | Antwortverhalten | de |
dc.subject.thesoz | response behavior | 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 | 10043768 | |
internal.identifier.thesoz | 10037472 | |
internal.identifier.thesoz | 10037910 | |
internal.identifier.thesoz | 10040166 | |
internal.identifier.thesoz | 10051646 | |
internal.identifier.thesoz | 10040547 | |
internal.identifier.thesoz | 10037913 | |
internal.identifier.thesoz | 10063008 | |
internal.identifier.thesoz | 10057772 | |
internal.identifier.thesoz | 10035808 | |
dc.type.stock | article | de |
dc.type.document | Zeitschriftenartikel | de |
dc.type.document | journal article | en |
dc.source.pageinfo | 1-20 | de |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 472 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
dc.source.issuetopic | Probability and Nonprobability Sampling: Sampling of hard-to-reach survey populations | |
dc.identifier.doi | https://doi.org/10.13094/SMIF-2019-00006 | 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 |