dc.contributor.author | Kunz, Tanja | de |
dc.contributor.author | Daikeler, Jessica | de |
dc.contributor.author | Ackermann-Piek, Daniela | de |
dc.date.accessioned | 2023-06-22T15:00:50Z | |
dc.date.available | 2023-06-22T15:00:50Z | |
dc.date.issued | 2023 | de |
dc.identifier.issn | 2515-2173 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/87043 | |
dc.description.abstract | In this research note, we address the potentials of using interviewer-observed paradata, typically collected during face-to-face-only interviews, in mixed-mode and innovative data collection methods that involve an interviewer at some stage (e.g., during the initial contact or during the interview). To this end, we first provide a systematic overview of the types and purposes of the interviewer-observed paradata most commonly collected in face-to-face interviews—contact form data, interviewer observations, and interviewer evaluations—using the methodology of evidence mapping. Based on selected studies, we illustrate the main purposes of interviewer-observed paradata we identified—including fieldwork management, propensity modeling, nonresponse bias analysis, substantive analysis, and survey data quality assessment. Based on this, we discuss the possible use of interviewer-observed paradata in mixed-mode and innovative data collection methods. We conclude with thoughts on new types of interviewer-observed paradata and the potential of combining paradata from different survey modes. | de |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | evidence map; contact history information; interviewer observations; interviewer evaluations; face-to-face interview; CAPI-plus; video interview; knock-to-nudge | de |
dc.title | Interviewer-Observed Paradata in Mixed-Mode and Innovative Data Collection | de |
dc.description.review | begutachtet (peer reviewed) | de |
dc.description.review | peer reviewed | en |
dc.source.journal | International Journal of Market Research | |
dc.publisher.country | USA | de |
dc.source.issue | OnlineFirst | de |
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 | Antwortverhalten | de |
dc.subject.thesoz | Interview | de |
dc.subject.thesoz | Datengewinnung | de |
dc.subject.thesoz | data quality | en |
dc.subject.thesoz | response behavior | en |
dc.subject.thesoz | survey | en |
dc.subject.thesoz | survey research | en |
dc.subject.thesoz | interview | en |
dc.subject.thesoz | data capture | en |
dc.subject.thesoz | Befragung | de |
dc.subject.thesoz | Umfrageforschung | de |
dc.subject.thesoz | Datenqualität | de |
dc.identifier.urn | urn:nbn:de:0168-ssoar-87043-2 | |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
ssoar.contributor.institution | GESIS | de |
internal.status | formal und inhaltlich fertig erschlossen | de |
internal.identifier.thesoz | 10040714 | |
internal.identifier.thesoz | 10040547 | |
internal.identifier.thesoz | 10055811 | |
internal.identifier.thesoz | 10035808 | |
internal.identifier.thesoz | 10037913 | |
internal.identifier.thesoz | 10037910 | |
dc.type.stock | article | de |
dc.type.document | journal article | en |
dc.type.document | Zeitschriftenartikel | de |
dc.source.pageinfo | 1-13 | de |
internal.identifier.classoz | 10105 | |
internal.identifier.journal | 2549 | |
internal.identifier.document | 32 | |
internal.identifier.ddc | 300 | |
dc.identifier.doi | https://doi.org/10.1177/14707853231184742 | de |
dc.description.pubstatus | Published Version | en |
dc.description.pubstatus | Veröffentlichungsversion | de |
internal.identifier.licence | 16 | |
internal.identifier.pubstatus | 1 | |
internal.identifier.review | 1 | |
dc.subject.classhort | 10100 | de |
ssoar.wgl.collection | true | de |
internal.pdf.valid | false | |
internal.pdf.wellformed | true | |
internal.pdf.encrypted | false | |
ssoar.licence.fund | Gefördert durch die Deutsche Forschungsgemeinschaft (DFG) - Projektnummer 491156185 / Funded by the German Research Foundation (DFG) - Project number 491156185 | |