PIAAC and its methodological challenges

Rammstedt, Beatrice; Maehler, Débora B.

[journal article]

dc.contributor.author	Rammstedt, Beatrice	de
dc.contributor.author	Maehler, Débora B.	de
dc.date.accessioned	2015-05-05T08:41:23Z
dc.date.available	2015-05-05T08:41:23Z
dc.date.issued	2014	de
dc.identifier.issn	2190-4936	de
dc.identifier.uri	http://www.ssoar.info/ssoar/handle/document/42893
dc.description.abstract	"This article gives an overview of the Programme for the International Assessment of Adult Competencies (PIAAC) and introduces the methodological challenges in implementing the survey - especially those encountered in Germany. Adherence to high methodological standards is a prerequisite to participation in PIAAC and to inclusion of the national data of the respective participating countries in the international dataset (OECD, 2010). Depending on the standard in question, and on national circumstances, compliance is a challenging undertaking. This Special Issue discusses methodological challenges at different levels, and steps taken to implement PIAAC standards in Germany. The aspects addressed include sample design, survey instruments, field work preparation, data collection, and estimation standards. In this introductory article, we outline the central elements of the PIAAC design and the methodological challenges of the survey, and we present the other six articles in this special issue." (author's abstract)	en
dc.language	en
dc.subject.ddc	Sozialwissenschaften, Soziologie	de
dc.subject.ddc	Social sciences, sociology, anthropology	en
dc.subject.other	PIAAC	de
dc.title	PIAAC and its methodological challenges	de
dc.description.review	begutachtet (peer reviewed)	de
dc.description.review	peer reviewed	en
dc.source.journal	Methods, data, analyses : a journal for quantitative methods and survey methodology (mda)
dc.source.volume	8	de
dc.publisher.country	DEU
dc.source.issue	2	de
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	Bundesrepublik Deutschland	de
dc.subject.thesoz	Forschungsplanung	de
dc.subject.thesoz	Datengewinnung	de
dc.subject.thesoz	sample	en
dc.subject.thesoz	data collection method	en
dc.subject.thesoz	Methode	de
dc.subject.thesoz	method	en
dc.subject.thesoz	Federal Republic of Germany	en
dc.subject.thesoz	Stichprobe	de
dc.subject.thesoz	research planning	en
dc.subject.thesoz	survey research	en
dc.subject.thesoz	comparative research	en
dc.subject.thesoz	data capture	en
dc.subject.thesoz	Standardisierung	de
dc.subject.thesoz	standardization (meth.)	en
dc.subject.thesoz	vergleichende Forschung	de
dc.subject.thesoz	Umfrageforschung	de
dc.subject.thesoz	Erhebungsmethode	de
dc.rights.licence	Creative Commons - Namensnennung	de
dc.rights.licence	Creative Commons - Attribution	en
ssoar.contributor.institution	GESIS	de
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10040714
internal.identifier.thesoz	10040547
internal.identifier.thesoz	10037571
internal.identifier.thesoz	10037472
internal.identifier.thesoz	10043956
internal.identifier.thesoz	10036452
internal.identifier.thesoz	10068092
internal.identifier.thesoz	10037921
internal.identifier.thesoz	10059158
dc.type.stock	article	de
dc.type.document	journal article	en
dc.type.document	Zeitschriftenartikel	de
dc.source.pageinfo	125-136	de
internal.identifier.classoz	10105
internal.identifier.journal	614
internal.identifier.document	32
internal.identifier.ddc	300
dc.source.issuetopic	The implementation of PIAAC in Germany	de
dc.identifier.doi	https://doi.org/10.12758/mda.2014.005	de
dc.description.pubstatus	Published Version	en
dc.description.pubstatus	Veröffentlichungsversion	de
internal.identifier.licence	1
internal.identifier.pubstatus	1
internal.identifier.review	1
ssoar.wgl.collection	true	de
internal.check.abstractlanguageharmonizer	CERTAIN

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Erhebungstechniken und Analysetechniken der Sozialwissenschaften
Methods and Techniques of Data Collection and Data Analysis, Statistical Methods, Computer Methods

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