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Modeling group-specific interviewer effects on survey participation using separate coding for random slopes in multilevel models

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cris.virtual.author-orcid0000-0002-9010-5927
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cris.virtualsource.author-orcid7d386fd3-a98e-40a6-a6ed-6a3fe4cbf2d5
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dc.contributor.authorHerzing, Jessica
dc.contributor.authorBlom, Annelies G.
dc.contributor.authorMeuleman, Bart
dc.date.accessioned2024-10-11T17:05:43Z
dc.date.available2024-10-11T17:05:43Z
dc.date.issued2022
dc.description.abstractDespite its importance in terms of survey participation, the literature is sparse on how face-to-face interviewers differentially affect specific groups of sample units. In this paper, we demonstrate how an alternative parametrization of the random components in multilevel models, so-called separate coding, delivers valuable insights into differential interviewer effects for specific groups of sample members. At the example of a face-to-face recruitment interview for a probability-based online panel, we detect small interviewer effects regarding survey participation for non-Internet households, whereas we find sizable interviewer effects for Internet households. Based on the proposed variance decomposition, we derive practical guidance for survey practitioners to address such differential interviewer effects.
dc.description.numberOfPages25
dc.description.sponsorshipInterfakultäres Zentrum für Bildungsforschung - WISO
dc.identifier.doi10.48350/172366
dc.identifier.publisherDOI10.1093/jssam/smac025
dc.identifier.urihttps://boris-portal.unibe.ch/handle/20.500.12422/87010
dc.language.isoen
dc.publisherOxford University Press
dc.relation.ispartofJournal of Survey Statistics and Methodology
dc.relation.issn2325-0984
dc.relation.organization3C20C72883C540D5A24ABD230F64DE03
dc.relation.organizationA38B712E1F9B437BA333E38F018702E0
dc.relation.projectSFB 884
dc.subject.ddc300 - Social sciences, sociology & anthropology::370 - Education
dc.subject.ddc300 - Social sciences, sociology & anthropology::310 - Statistics
dc.titleModeling group-specific interviewer effects on survey participation using separate coding for random slopes in multilevel models
dc.typearticle
dspace.entity.typePublication
dspace.file.typetext
oaire.citation.endPage273
oaire.citation.issue1
oaire.citation.startPage249
oaire.citation.volume12
oairecerif.author.affiliationInterfakultäres Zentrum für Bildungsforschung - WISO
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unibe.contributor.rolecreator
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unibe.date.licenseChanged2022-09-07 05:19:34
unibe.description.ispublishedpub
unibe.eprints.legacyId172366
unibe.journal.abbrevTitleJournal of Survey Statistics and Methodology
unibe.refereedTRUE
unibe.subtype.articlejournal

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