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dc.contributor.authorSchneider, Silke L.de
dc.date.accessioned2018-03-13T12:23:35Z
dc.date.available2018-03-13T12:23:35Z
dc.date.issued2016de
dc.identifier.urihttps://www.ssoar.info/ssoar/handle/document/56362
dc.description.abstractThis contribution provides an overview of the theoretical conceptualisation, empirical operationalisation, and the measurement and coding of education in national and international survey research. In this context, the term "education" refers to the level of education attained by an individual, which must be distinguished from concepts such as competencies, performance at school, and educational disciplines. Because education is often included in statistical models in a merely routine way, emphasis is placed on the connection between the theoretical concept, the indicator, the measurement instrument, and the variable. When doing so, use is made of long-standing social science research on educational returns and educational inequality. A distinction is made between linear, ordinal and categorical concepts of education that have emerged from the different theoretical approaches, and that, to some extent, impose different requirements on data collection and coding. Indeed, it is true to say that there is no consensus as to how education should be conceptualised, measured, compared across countries, and statistically modelled. The contribution does not give a recommendation for a "one size fits all" educational variable that would be appropriate for all studies. Rather, it endeavours to encourage readers to make an informed decision on the measurement of education in the respective educational context and to support them in doing so.en
dc.languageende
dc.subject.ddcSozialwissenschaften, Soziologiede
dc.subject.ddcSocial sciences, sociology, anthropologyen
dc.titleThe Conceptualisation, Measurement, and Coding of Education in German and Cross-National Surveys (Version 2.0)de
dc.description.reviewbegutachtet (peer reviewed)de
dc.description.reviewpeer revieweden
dc.publisher.countryDEU
dc.publisher.cityMannheimde
dc.source.seriesGESIS Survey Guidelines
dc.subject.classozErhebungstechniken und Analysetechniken der Sozialwissenschaftende
dc.subject.classozMethods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methodsen
dc.subject.thesozBefragungde
dc.subject.thesozsurveyen
dc.subject.thesozFragebogende
dc.subject.thesozquestionnaireen
dc.subject.thesozDatengewinnungde
dc.subject.thesozdata captureen
dc.subject.thesozMessinstrumentde
dc.subject.thesozmeasurement instrumenten
dc.subject.thesozBildungsverlaufde
dc.subject.thesozcourse of educationen
dc.subject.thesozBildungsungleichheitde
dc.subject.thesozeducational inequalityen
dc.subject.thesozBildungsniveaude
dc.subject.thesozlevel of educationen
dc.subject.thesozBildungsabschlussde
dc.subject.thesozlevel of education attaineden
dc.subject.thesozBildungde
dc.subject.thesozeducationen
dc.subject.thesozIndikatorde
dc.subject.thesozindicatoren
dc.subject.thesozCodierungde
dc.subject.thesozcodingen
dc.subject.thesozinternationaler Vergleichde
dc.subject.thesozinternational comparisonen
dc.subject.thesozUmfrageforschungde
dc.subject.thesozsurvey researchen
dc.rights.licenceCreative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung 4.0de
dc.rights.licenceCreative Commons - Attribution-Noncommercial-No Derivative Works 4.0en
ssoar.contributor.institutionGESISde
internal.statusformal und inhaltlich fertig erschlossende
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dc.type.stockmonographde
dc.type.documentArbeitspapierde
dc.type.documentworking paperen
dc.source.pageinfo63de
internal.identifier.classoz10105
internal.identifier.document3
dc.contributor.corporateeditorGESIS - Leibniz-Institut für Sozialwissenschaften
internal.identifier.corporateeditor133
internal.identifier.ddc300
dc.identifier.doihttps://doi.org/10.15465/gesis-sg_en_020de
dc.description.pubstatusErstveröffentlichungde
dc.description.pubstatusPrimary Publicationen
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internal.check.abstractlanguageharmonizerCERTAIN
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