Computing Sampling Weights in Large-scale
Assessments in Education

Meinck, Sabine

[journal article]

dc.contributor.author	Meinck, Sabine	de
dc.date.accessioned	2015-04-20T08:55:59Z
dc.date.available	2015-04-20T08:55:59Z
dc.date.issued	2015	de
dc.identifier.issn	2296-4754	de
dc.identifier.uri	http://www.ssoar.info/ssoar/handle/document/42706
dc.description.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.	en
dc.language	en	de
dc.subject.ddc	Sozialwissenschaften, Soziologie	de
dc.subject.ddc	Social sciences, sociology, anthropology	en
dc.title	Computing Sampling Weights in Large-scale Assessments in Education	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.source.journal	Survey Methods: Insights from the Field
dc.publisher.country	DEU
dc.subject.classoz	Erhebungstechniken und Analysetechniken der Sozialwissenschaften	de
dc.subject.classoz	Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods	en
dc.subject.thesoz	Antwortverhalten	de
dc.subject.thesoz	population statistics	en
dc.subject.thesoz	Stichprobenfehler	de
dc.subject.thesoz	Datengewinnung	de
dc.subject.thesoz	sample	en
dc.subject.thesoz	soziale Schichtung	de
dc.subject.thesoz	weighting	en
dc.subject.thesoz	sampling error	en
dc.subject.thesoz	Schätzung	de
dc.subject.thesoz	educational research	en
dc.subject.thesoz	measurement	en
dc.subject.thesoz	Bevölkerungsstatistik	de
dc.subject.thesoz	social stratification	en
dc.subject.thesoz	response behavior	en
dc.subject.thesoz	Stichprobe	de
dc.subject.thesoz	Gewichtung	de
dc.subject.thesoz	survey research	en
dc.subject.thesoz	data capture	en
dc.subject.thesoz	Messung	de
dc.subject.thesoz	estimation	en
dc.subject.thesoz	Umfrageforschung	de
dc.subject.thesoz	Bildungsforschung	de
dc.identifier.urn	urn:nbn:de:0168-ssoar-427060
dc.rights.licence	Creative Commons - Namensnennung, Nicht kommerz., Keine Bearbeitung	de
dc.rights.licence	Creative Commons - Attribution-Noncommercial-No Derivative Works	en
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10040714
internal.identifier.thesoz	10040547
internal.identifier.thesoz	10035808
internal.identifier.thesoz	10037472
internal.identifier.thesoz	10039131
internal.identifier.thesoz	10045727
internal.identifier.thesoz	10036930
internal.identifier.thesoz	10059347
internal.identifier.thesoz	10057146
internal.identifier.thesoz	10038441
internal.identifier.thesoz	10041896
dc.type.stock	article	de
dc.type.document	journal article	en
dc.type.document	Zeitschriftenartikel	de
dc.source.pageinfo	1-13	de
internal.identifier.classoz	10105
internal.identifier.journal	472
internal.identifier.document	32
internal.identifier.ddc	300
dc.source.issuetopic	Weighting: Practical Issues and ‘How to’ Approach
dc.identifier.doi	https://doi.org/10.13094/SMIF-2015-00004	de
dc.description.pubstatus	Published Version	en
dc.description.pubstatus	Veröffentlichungsversion	de
internal.identifier.licence	2
internal.identifier.pubstatus	1
internal.identifier.review	1
internal.pdf.version	1.5
internal.pdf.valid	false
internal.pdf.wellformed	false
internal.check.abstractlanguageharmonizer	CERTAIN
internal.check.languageharmonizer	CERTAIN_RETAINED

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Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

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Computing Sampling Weights in Large-scale Assessments in Education

[journal article]

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