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[journal article]

dc.contributor.authorBieber, Inade
dc.contributor.authorBlumenberg, Johannes N.de
dc.contributor.authorBlumenberg, Manuela S.de
dc.contributor.authorBlohm, Michaelde
dc.date.accessioned2020-07-09T12:19:54Z
dc.date.available2020-07-09T12:19:54Z
dc.date.issued2020de
dc.identifier.issn2296-4754de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/68330
dc.description.abstractInterviewers occupy a key position in face-to-face interviews. Their behavior decisively contributes to the quality of surveys. However, monitoring interviewers in face-to-face surveys is much more challenging than in telephone surveys. It is often up to the interviewer when they conduct the interviews and which addresses they work on first. Nevertheless, homogeneous fieldwork, i.e. that which has a geographically similar processing status, is particularly essential for time- and eventdependent studies such as election studies. Irregular fieldwork combined with geographical differences can have substantial impacts on data quality. Using the example of the German Longitudinal Election Study (GLES), we propose and present a visual strategy by plotting key indicators of fieldwork onto a geographical map to monitor and optimize the fieldwork in face-toface interviews. The geographic visualization of fieldwork can be an additional tool not only for election studies, but also other studies.de
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.subject.otherface-to-face; fieldwork monitoring; geographical visualization; interviewer observation; survey management; German Longitudinal Election Study; GLESde
dc.titleUsing Geospatial Data to Monitor and Optimize Face-to-Face Fieldworkde
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.source.journalSurvey Methods: Insights from the Field
dc.publisher.countryDEU
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozBundesrepublik Deutschlandde
dc.subject.thesozFederal Republic of Germanyen
dc.subject.thesozMonitoringde
dc.subject.thesozmonitoringen
dc.subject.thesozInterviewde
dc.subject.thesozinterviewen
dc.subject.thesozDatenqualitätde
dc.subject.thesozdata qualityen
dc.subject.thesozUmfrageforschungde
dc.subject.thesozsurvey researchen
dc.subject.thesozFeldforschungde
dc.subject.thesozfield researchen
dc.subject.thesozgeographische Faktorende
dc.subject.thesozgeographical factorsen
dc.subject.thesozVisualisierungde
dc.subject.thesozvisualizationen
dc.rights.licenceCreative Commons - Namensnennung 4.0de
dc.rights.licenceCreative Commons - Attribution 4.0en
ssoar.contributor.institutionGESISde
internal.statusnoch nicht fertig erschlossende
internal.identifier.thesoz10037571
internal.identifier.thesoz10096447
internal.identifier.thesoz10037913
internal.identifier.thesoz10055811
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internal.identifier.thesoz10043403
internal.identifier.thesoz10063668
internal.identifier.thesoz10066962
dc.type.stockarticlede
dc.type.documentZeitschriftenartikelde
dc.type.documentjournal articleen
dc.source.pageinfo1-16de
internal.identifier.classoz10105
internal.identifier.journal472
internal.identifier.document32
internal.identifier.ddc300
dc.source.issuetopicFieldwork Monitoring Strategies for Interviewer-Administered Surveysde
dc.identifier.doihttps://doi.org/10.13094/SMIF-2020-00005de
dc.description.pubstatusVeröffentlichungsversionde
dc.description.pubstatusPublished Versionen
internal.identifier.licence16
internal.identifier.pubstatus1
internal.identifier.review1
ssoar.wgl.collectiontruede
internal.pdf.wellformedtrue
internal.pdf.encryptedfalse
ssoar.urn.registrationfalsede


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