Response Quality in Nonprobability and Probability-based Online Panels

Cornesse, Carina; Blom, Annelies G.

[journal article]

dc.contributor.author	Cornesse, Carina	de
dc.contributor.author	Blom, Annelies G.	de
dc.date.accessioned	2024-03-13T09:14:20Z
dc.date.available	2024-03-13T09:14:20Z
dc.date.issued	2023	de
dc.identifier.issn	1552-8294	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/74631
dc.description.abstract	Recent years have seen a growing number of studies investigating the accuracy of nonprobability online panels; however, response quality in nonprobability online panels has not yet received much attention. To fill this gap, we investigate response quality in a comprehensive study of seven nonprobability online panels and three probability-based online panels with identical fieldwork periods and questionnaires in Germany. Three response quality indicators typically associated with survey satisficing are assessed: straight-lining in grid questions, item nonresponse, and midpoint selection in visual design experiments. Our results show that there is significantly more straight-lining in the nonprobability online panels than in the probability-based online panels. However, contrary to our expectations, there is no generalizable difference between nonprobability online panels and probability-based online panels with respect to item nonresponse. Finally, neither respondents in nonprobability online panels nor respondents in probability-based online panels are significantly affected by the visual design of the midpoint of the answer scale.	de
dc.language	en	de
dc.subject.ddc	Sozialwissenschaften, Soziologie	de
dc.subject.ddc	Social sciences, sociology, anthropology	en
dc.subject.other	GESIS Panel; nonprobability sample; probability-based sample; online panel; satisficing; response quality	de
dc.title	Response Quality in Nonprobability and Probability-based Online Panels	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.source.journal	Sociological Methods & Research
dc.source.volume	52	de
dc.publisher.country	GBR	de
dc.source.issue	2	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	response behavior	en
dc.subject.thesoz	Panel	de
dc.subject.thesoz	panel	en
dc.subject.thesoz	Stichprobe	de
dc.subject.thesoz	sample	en
dc.subject.thesoz	Online-Befragung	de
dc.subject.thesoz	online survey	en
dc.subject.thesoz	Wahrscheinlichkeit	de
dc.subject.thesoz	probability	en
dc.subject.thesoz	Datengewinnung	de
dc.subject.thesoz	data capture	en
dc.subject.thesoz	Datenqualität	de
dc.subject.thesoz	data quality	en
dc.subject.thesoz	Umfrageforschung	de
dc.subject.thesoz	survey research	en
dc.identifier.urn	urn:nbn:de:0168-ssoar-74631-v2-0
dc.rights.licence	Creative Commons - Namensnennung 4.0	de
dc.rights.licence	Creative Commons - Attribution 4.0	en
ssoar.contributor.institution	GESIS	de
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10035808
internal.identifier.thesoz	10054018
internal.identifier.thesoz	10037472
internal.identifier.thesoz	10037911
internal.identifier.thesoz	10061922
internal.identifier.thesoz	10040547
internal.identifier.thesoz	10055811
internal.identifier.thesoz	10040714
dc.type.stock	article	de
dc.type.document	Zeitschriftenartikel	de
dc.type.document	journal article	en
dc.source.pageinfo	879-908	de
internal.identifier.classoz	10105
internal.identifier.journal	414
internal.identifier.document	32
internal.identifier.ddc	300
dc.identifier.doi	https://doi.org/10.1177/0049124120914940	de
dc.description.pubstatus	Veröffentlichungsversion	de
dc.description.pubstatus	Published Version	en
internal.identifier.licence	16
internal.identifier.pubstatus	1
internal.identifier.review	1
ssoar.wgl.collection	true	de
internal.pdf.valid	false
internal.pdf.wellformed	true
internal.pdf.wellformed	true
internal.pdf.encrypted	false
internal.pdf.encrypted	false
ssoar.licence.fund	Funded by the German Research Foundation (DFG), Project-ID 139943784

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Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

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