PropertyValue
?:abstract
  • Nonresponse in panel studies can lead to a substantial loss in data quality owing to its potential to introduce bias and distort survey estimates. Recent ... »more» (xsd:string)
?:author
?:comment
  • (GESIS Panel) (xsd:string)
?:dataSource
  • GESIS Panel-Bibliography (xsd:string)
?:dateModified
  • 2023 (xsd:gyear)
?:datePublished
  • 2023 (xsd:gyear)
?:doi
  • 10.1093/jssam/smab009 ()
?:duplicate
?:fromPage
  • 100–123 (xsd:string)
is ?:hasPart of
?:inLanguage
  • english (xsd:string)
?:isPartOf
?:issn
  • 23250992 ()
?:issueNumber
  • 1 (xsd:string)
is ?:mainEntity of
?:name
  • Predicting Nonresponse in Future Waves of A Probability-Based Mixed-Mode Panel With Machine Learning (xsd:string)
?:publicationType
  • article (xsd:string)
?:reference
?:sourceInfo
  • Bibsonomy (xsd:string)
  • In Journal of Survey Statistics and Methodology, 11(1), 100–123, 2023 (xsd:string)
?:studyGroup
  • GESIS Panel (xsd:string)
?:tags
  • 2023 (xsd:string)
  • GESISpanel (xsd:string)
  • GP_input2021 (xsd:string)
  • GP_pro (xsd:string)
  • SCOPUSindexed (xsd:string)
  • ZA5665_zt (xsd:string)
  • article (xsd:string)
  • datfeld (xsd:string)
  • english (xsd:string)
  • indexproved (xsd:string)
  • reviewed (xsd:string)
  • rp (xsd:string)
  • transfer21 (xsd:string)
  • vttrans (xsd:string)
?:toPage
  • 100–123 (xsd:string)
rdf:type
?:url
?:volumeNumber
  • 11 (xsd:string)