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          <titl xml:lang="en">DDI study level documentation for study 10.7802/2002 Education distributions and survey characteristics of ten cross-national surveys</titl>
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        <AuthEnty affiliation="GESIS-Leibniz Institute for the Social Sciences" xml:lang="en">Ortmanns, Verena
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        <fundAg xml:lang="en">[This work was supported by the Leibniz Association through the Leibniz Competition (formerly SAW Procedure) grant number SAW-2013-GESIS-5, as well as the European Union’s Horizon 2020 research and innovation programme under grant agreement No 654221.]</fundAg>
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      <abstract xml:lang="en">The dataset is related to the paper “Explaining Inconsistencies in the Education Distributions of Ten Cross-National Surveys – The Role of Methodological Survey Characteristics” (Ortmanns, 2020). The paper compares the education distributions referring to the International Standard Classiﬁcation of Education (ISCED variable) of nine cross-national surveys with the European Union Labour Force Survey, which is used as a benchmark. The paper identifies large inconsistencies in the education distribution across surveys and therefore, it examines how methodological survey characteristics may explain these inconsistencies. The paper refers to the Total Survey Error framework (TSE) and analyses survey characteristics relating to different kinds of errors. This dataset includes the education distribution and 15 survey characteristics of ten cross-national surveys.</abstract><abstract xml:lang="de">The dataset is related to the paper “Explaining Inconsistencies in the Education Distributions of Ten Cross-National Surveys – The Role of Methodological Survey Characteristics” (Ortmanns, 2020). The paper compares the education distributions referring to the International Standard Classiﬁcation of Education (ISCED variable) of nine cross-national surveys with the European Union Labour Force Survey, which is used as a benchmark. The paper identifies large inconsistencies in the education distribution across surveys and therefore, it examines how methodological survey characteristics may explain these inconsistencies. The paper refers to the Total Survey Error framework (TSE) and analyses survey characteristics relating to different kinds of errors. This dataset includes the education distribution and 15 survey characteristics of ten cross-national surveys.</abstract>
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