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Computing Sampling Weights in Large-scale Assessments in Education

[Zeitschriftenartikel]

Meinck, Sabine

Zitationshinweis

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Abstract Sampling weights are a reflection of sampling design; they allow us to draw valid conclusions about population features from sample data. This paper explains the fundamentals of computing sampling weights for large-scale assessments in educational research. The relationship between the nature of complex samples and best practices in developing a set of weights to enable computation of unbiased population estimates is described. Effects of sampling weights on estimates are shown, as well as potential consequences of not using weights when analysing data from complex samples. Illustrative examples are provided in order to make it easy to understand the rationale behind the mathematical foundations.
Thesaurusschlagwörter sample; weighting; response behavior; estimation; educational research; survey research; data capture; measurement; sampling error; social stratification; population statistics
Klassifikation Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Sprache Dokument Englisch
Publikationsjahr 2015
Seitenangabe 13 S.
Zeitschriftentitel Survey Methods: Insights from the Field (2015)
DOI http://dx.doi.org/10.13094/SMIF-2015-00004
ISSN 2296-4754
Status Veröffentlichungsversion; begutachtet (peer reviewed)
Lizenz Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung
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