://share.osf.io/trove/index-card/74132961-fe58-4715-848e-3936cb6d3de0

trove:Indexcarddcat:CatalogRecord
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type
trove:focusIdentifier
https://osf.io/5s3v7
https://doi.org/10.17605/OSF.IO/5S3V7
trove:resourceMetadata

://osf.io/5s3v7

osf:Registration
VacWeight
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dcterms:subject

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

skos:Concept
Social and Behavioral Sciences
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skos:prefLabel
Social and Behavioral Sciences
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type
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is primary topic of
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type
dcterms:dateCopyrighted
2022
dcterms:rights
(blank node)
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name
No license
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qualifiedAttribution
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agent
dcat:hadRole
(blank node)
dcat:hadRole
prov:agent
agent
dcterms:modified
2022-10-10
dcterms:created
2022-10-25
dcterms:rightsHolder
Bucher& Roßmann
dcterms:identifier
https://osf.io/5s3v7
https://doi.org/10.17605/OSF.IO/5S3V7
dcterms:creator
owl:sameAs
sameAs
dcterms:isVersionOf

://osf.io/w3djp

osf:Project
VacWeight
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dcterms:created
2021-08-28
dcterms:publisher
dcterms:identifier
https://osf.io/w3djp
https://doi.org/10.17605/OSF.IO/W3DJP
dcterms:title
VacWeight
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type
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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.
dcterms:title
VacWeight
osf:keyword
Survey Research
Weighting Survey Data
Survey Methodology
foaf:primaryTopic
primary topic
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dcterms:issued