gris-publication-64vfr8r34q90

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?:contributor	<https://data.gesis.org/gesiskg/resource/gris-publication-64vfr8r34q90_Anna-Carolina_Haensch> <https://data.gesis.org/gesiskg/resource/gris-publication-64vfr8r34q90_Bernd_Wei%C3%9F> <https://data.gesis.org/gesiskg/resource/gris-publication-64vfr8r34q90_Katja_Bitz> <https://data.gesis.org/gesiskg/resource/gris-publication-64vfr8r34q90_Patricia_Steins> <https://data.gesis.org/gesiskg/resource/gris-publication-64vfr8r34q90_Priscilla_Chyrva>
?:dateModified	2022 (xsd:gyear)
?:datePublished	2022 (xsd:gyear)
?:doi	10.3389/fdata.2022.880554 ()
?:duplicate	<https://data.gesis.org/gesiskg/resource/duplicate_gris-publication-64vfr8r34q90_bibsonomy-haensch2022semiautomatic>
is ?:hasPart of	<https://data.gesis.org/gesiskg/resource/>
is ?:mainEntity of	<https://data.gesis.org/gesiskg/resource/duplicate_bibsonomy-haensch2022semiautomatic_gris-publication-64vfr8r34q90>
?:name	The semi-automatic classification of an open-ended question on panel survey motivation and its application in attrition analysis (xsd:string)
?:publicationType	article (xsd:string)
?:sourceInfo	GESIS-GRIS (xsd:string) In Frontiers in Big Data, 11. August 2022(5), 2022 (xsd:string)
rdf:type	<https://schema.org/ScholarlyArticle>