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?:about
?:abstract
  • Survey data often includes missing values. An approach to deal with missing values is imputation in order to obtain a complete dataset. However, the process of imputation requires researchers to make various decisions regarding the imputation method to be applied, the number of values to be imputed for each missing value, the selection of predictor variables, the treatment of multivariate nonresponse and the conduct of variance estimation. This survey guideline provides an overview of imputation procedures for missing values. It aims to support the reader with respect to aforementioned decisions when imputing missing values in survey data. (xsd:string)
?:contributor
?:dateModified
  • 2023 (xsd:gyear)
?:datePublished
  • 2023 (xsd:gyear)
?:doi
  • 10.15465/gesis-sg_en_044 ()
?:duplicate
?:hasFulltext
  • true (xsd:boolean)
is ?:hasPart of
?:inLanguage
  • en (xsd:string)
?:linksDOI
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is ?:mainEntity of
?:name
  • Imputation of missing values in survey data (Version 1.0) (xsd:string)
?:provider
?:publicationType
  • Arbeitspapier (xsd:string)
?:reference
?:sourceInfo
  • GESIS-SSOAR (xsd:string)
rdf:type
?:url