://osf.io/5s3v7

osf:Registration
VacWeight
more details...
dcterms:rightsHolder
Bucher& Roßmann
rdf:type
type
dcterms:publisher
dcterms:isVersionOf

://osf.io/w3djp

osf:Project
VacWeight
more details...
dcterms:identifier
https://doi.org/10.17605/OSF.IO/W3DJP
https://osf.io/w3djp
dcterms:publisher
dcterms:title
VacWeight
dcterms:creator
rdf:type
type
owl:sameAs
sameAs
dcterms:created
2021-08-28
owl:sameAs
sameAs
dcterms:title
VacWeight
prov:qualifiedAttribution
qualifiedAttribution
(blank node)
dcat:hadRole
prov:agent
agent
(blank node)
prov:agent
agent
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dcterms:type
dcterms:creator
dcterms:conformsTo
dcat:accessService
dcterms:subject

://api.osf.io/v2/subjects/584240da54be81056cecac48

skos:Concept
Social and Behavioral Sciences
more details...
rdf:type
type
skos:prefLabel
Social and Behavioral Sciences
skos:inScheme
dcterms:rights
(blank node)
foaf:name
name
No license
osf:hostingInstitution
dcterms:created
2022-10-25
dcterms:modified
2022-10-10
osf:archivedAt
dcterms:identifier
https://osf.io/5s3v7
https://doi.org/10.17605/OSF.IO/5S3V7
dcterms:dateCopyrighted
2022
dcterms:description
This is the pre-registration for the second case study of the project VacWeight. In this study, we use 1) the same approach of calucalting weights than in the first study, but 2) other variables. The variables used for weighting in this study relate to different types of internet usage. In the Microzensus 2022, a new module that captures the internet usage behavior of adults was implemented. We use a question that relates to different types of Internet usage and weight survey data from the GLES Panel, wave 23 with these variables. To measure whether the weights help to reduce bias in our sample, we compare the estimates of the (un)weighted survey data for the state election of lower saxony in Germany in october, ninth 2022. We argue, that our weights help in reduce bias since Internet usage correlates with both, survey participation and substantial variables of interest. As current research shows, adults who use the Internet more often and for different purposes are more likely to participate in an Online Opt-In Panel. Second, there are some studies investigating the relation between Internet Usage, especially Social media Usage and political participation. In sum, these studies show as a central results that adults who use social media tend to be more engaged in politics. With this two assumption being theretically met, we assume our weight helping in reducing bias based on data from nonprobability online panels.
osf:keyword
Weighting Survey Data
Survey Research
Survey Methodology