dc.contributor.author | Gaertner, Beate | de |
dc.contributor.author | Lüdtke, Denise | de |
dc.contributor.author | Koschollek, Carmen | de |
dc.contributor.author | Grube, Maike M. | de |
dc.contributor.author | Baumert, Jens | de |
dc.contributor.author | Scheidt-Nave, Christa | de |
dc.contributor.author | Gößwald, Antje | de |
dc.contributor.author | Fuchs, Judith | de |
dc.contributor.author | Wetzstein, Matthias | de |
dc.date.accessioned | 2019-04-26T13:17:55Z | |
dc.date.available | 2019-04-26T13:17:55Z | |
dc.date.issued | 2019 | de |
dc.identifier.issn | 2296-4754 | de |
dc.identifier.uri | https://www.ssoar.info/ssoar/handle/document/62351 | |
dc.description.abstract | Existing health survey data of individuals who are 65+ years of age is limited due to the exclusion of the oldest old and physically or
cognitively impaired individuals. This study aimed to assess the effects of a sequential mixed-mode design on (1) contact and response
rates, (2) sample composition and (3) non-response bias. A register-based random sample of 2,000 individuals 65+ years was initially
contacted by mail to answer a health questionnaire. Random subgroups of initial non-responders were further contacted by telephone or
home visits. Participation by interview or proxy was possible. After postal contact only, the initial contact and response rates were 51.7%
and 37.8%, respectively. The contact and response rates increased to 71.1% and 44.6%, respectively, after all contact steps. A different
sample composition regarding sociodemographic (i.e., older individuals) and health characteristics (i.e., worse self-rated health, more
functional impairments) was achieved by the inclusion of those late participants. Ill health was the second most frequent reason for nonparticipation.
Personal contact modes are important to increase contact and response rates in population-based health studies and to
include hard-to-reach groups such as the oldest or physically impaired individuals. However, non-response bias still occurred. | de |
dc.language | en | de |
dc.subject.ddc | Sozialwissenschaften, Soziologie | de |
dc.subject.ddc | Social sciences, sociology, anthropology | en |
dc.subject.other | contact mode; data collection mode; non-response bias; older individuals; reasons for non-participation; sequential mixed-mode design; IMOA; Improving Health Monitoring in Old Age | de |
dc.title | Effects of a sequential mixed-mode design on participation, contact and sample composition: Results of the pilot study "IMOA - Improving Health Monitoring in Old Age" | 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 | Bundesrepublik Deutschland | de |
dc.subject.thesoz | Antwortverhalten | de |
dc.subject.thesoz | Datengewinnung | de |
dc.subject.thesoz | sample | en |
dc.subject.thesoz | alter Mensch | de |
dc.subject.thesoz | online survey | en |
dc.subject.thesoz | Online-Befragung | de |
dc.subject.thesoz | postalische Befragung | de |
dc.subject.thesoz | Federal Republic of Germany | en |
dc.subject.thesoz | Gesundheitszustand | de |
dc.subject.thesoz | telephone interview | en |
dc.subject.thesoz | mail survey | en |
dc.subject.thesoz | elderly | en |
dc.subject.thesoz | health status | en |
dc.subject.thesoz | response behavior | en |
dc.subject.thesoz | Stichprobe | de |
dc.subject.thesoz | data capture | en |
dc.subject.thesoz | Telefoninterview | de |
dc.rights.licence | Creative Commons - Attribution 4.0 | en |
dc.rights.licence | Creative Commons - Namensnennung 4.0 | de |
internal.status | noch nicht fertig erschlossen | de |
internal.identifier.thesoz | 10040547 | |
internal.identifier.thesoz | 10034619 | |
internal.identifier.thesoz | 10037571 | |
internal.identifier.thesoz | 10035808 | |
internal.identifier.thesoz | 10037472 | |
internal.identifier.thesoz | 10037912 | |
internal.identifier.thesoz | 10037911 | |
internal.identifier.thesoz | 10047975 | |
internal.identifier.thesoz | 10045579 | |
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 | 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-2019-00016 | de |
dc.description.pubstatus | Published Version | en |
dc.description.pubstatus | Veröffentlichungsversion | de |
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 |