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?:abstract
  • The syntax code has the purpose of assessing interrater reliability for various variables based on a random 10% sample from all survey programs encoded in the dataset SDCCP 1 - Survey Design and Data Quality During the Covid-19 Pandemic (doi:https://doi.org/10.7802/2652). (xsd:string)
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?:category
  • Social Sciences (en)
  • Social Sciences (de)
?:citationString
  • Skora, Thomas, & von Glasenapp, Karolina (2024): Stata code for assessing interrater reliability in the coding of the SDCCP 1 dataset. GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2656 (en)
  • Skora, Thomas, & von Glasenapp, Karolina (2024): Stata code for assessing interrater reliability in the coding of the SDCCP 1 dataset. GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2656 (de)
?:conditionsOfAccess
  • Free access (without registration) (en)
  • Freier Zugang (ohne Registrierung) (de)
?:currentVersion
  • 1.0.0, https://doi.org/10.7802/2656 (xsd:string)
?:dateCreated
  • 2024 (xsd:gyear)
?:dateModified
  • 2024-01-01 (xsd:date)
?:datePublished
  • 2024 (xsd:gyear)
?:doi
  • 10.7802/2656 ()
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?:hasFulltext
  • true (xsd:boolean)
is ?:hasPart of
?:name
  • Stata code for assessing interrater reliability in the coding of the SDCCP 1 dataset (xsd:string)
?:principalInvestigator
  • Skora, Thomas (xsd:string)
  • von Glasenapp, Karolina (xsd:string)
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?:publicationType
  • SowiDataNet|datorium (en)
?:publisher
?:sourceInfo
  • GESIS, Cologne. Data File Version 1.0.0, https://doi.org/10.7802/2656 (en)
  • GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2656 (de)
  • GESIS-SowiDataNet|datorium (xsd:string)
?:studyPublications
  • Glasenapp, Karolina von, Skora, Thomas, Gummer, Tobias, & Naumann, Elias (2024). SDCCP 1 - Survey Design and Quality During the Covid-19 Pandemic. GESIS, Köln. Datenfile Version 1.0.0, https://doi.org/10.7802/2652. (xsd:string)
  • Gummer, T., Skora, T., von Glasenapp, K. & Naumann, Elias (2024). A dataset on survey designs and quality of social and behavioral science surveys during the COVID-19 pandemic. Scientific Data 11, 619. https://doi.org/10.1038/s41597-024-03475-x (xsd:string)
?:thematicCollection
  • COVID-19 (de)
  • COVID-19 (en)
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