Large-Scale Cognitive Assessment: Analyzing PIAAC Data

[collection]

dc.contributor.editor	Maehler, Débora B.	de
dc.contributor.editor	Rammstedt, Beatrice	de
dc.date.accessioned	2020-09-08T11:34:42Z
dc.date.available	2020-09-08T11:34:42Z
dc.date.issued	2020	de
dc.identifier.isbn	978-3-030-47515-4	de
dc.identifier.issn	2367-1718	de
dc.identifier.uri	https://www.ssoar.info/ssoar/handle/document/69624
dc.description.abstract	This open access methodological book summarises existing analysing techniques using data from PIAAC, a study initiated by the OECD that assesses key cognitive and occupational skills of the adult population in more than 40 countries. The approximately 65 PIAAC datasets that has been published worldwide to date has been widely received and used by an interdisciplinary research community. Due to the complex structure of the data, analyses with PIAAC datasets are very challenging. To ensure the quality and significance of these data analyses, it is necessary to instruct users in the correct handling of the data. This methodological book provides a standardised approach to successfully implementing these data analyses. It contains examples of and tools for the analysis of the PIAAC data using different statistical approaches and software, and it offers perspectives from various disciplines. The contributing authors have hands-on experience of using PIAAC data, and/or they have conducted data analysis workshops with these data.	de
dc.language	en	de
dc.publisher	Springer	de
dc.relation.haspart	69634
dc.relation.haspart	69650
dc.relation.haspart	69651
dc.relation.haspart	70070
dc.subject.ddc	Sozialwissenschaften, Soziologie	de
dc.subject.ddc	Social sciences, sociology, anthropology	en
dc.subject.other	PIAAC data; large-scale assessment; plausible values; key cognitive skills; literacy of adult population; numeracy of adult population; analysis with PIAAC datasets; Stata; R software; Open access	de
dc.title	Large-Scale Cognitive Assessment: Analyzing PIAAC Data	de
dc.description.review	begutachtet	de
dc.description.review	reviewed	en
dc.publisher.country	DEU
dc.publisher.city	Cham	de
dc.source.series	Methodology of Educational Measurement and Assessment
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	competence	en
dc.subject.thesoz	arithmetic	en
dc.subject.thesoz	longitudinal study	en
dc.subject.thesoz	Erwachsener	de
dc.subject.thesoz	international comparison	en
dc.subject.thesoz	Längsschnittuntersuchung	de
dc.subject.thesoz	data	en
dc.subject.thesoz	adult	en
dc.subject.thesoz	Kompetenz	de
dc.subject.thesoz	kognitive Fähigkeit	de
dc.subject.thesoz	analysis	en
dc.subject.thesoz	measurement	en
dc.subject.thesoz	Schreiben	de
dc.subject.thesoz	Rechnen	de
dc.subject.thesoz	cognitive ability	en
dc.subject.thesoz	internationaler Vergleich	de
dc.subject.thesoz	writing	en
dc.subject.thesoz	Messung	de
dc.subject.thesoz	Lesen	de
dc.subject.thesoz	Analyse	de
dc.subject.thesoz	reading	en
dc.subject.thesoz	Daten	de
dc.rights.licence	Creative Commons - Attribution 4.0	en
dc.rights.licence	Creative Commons - Namensnennung 4.0	de
ssoar.contributor.institution	GESIS	de
internal.status	formal und inhaltlich fertig erschlossen	de
internal.identifier.thesoz	10047775
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dc.type.stock	collection	de
dc.type.document	Sammelwerk	de
dc.type.document	collection	en
dc.source.pageinfo	290	de
internal.identifier.classoz	10105
internal.identifier.document	24
internal.identifier.ddc	300
dc.identifier.doi	https://doi.org/10.1007/978-3-030-47515-4	de
dc.description.pubstatus	Published Version	en
dc.description.pubstatus	Veröffentlichungsversion	de
internal.identifier.licence	16
internal.identifier.pubstatus	1
internal.identifier.review	2
internal.identifier.series	1686
ssoar.wgl.collection	true	de
internal.pdf.wellformed	true
internal.pdf.encrypted	false
ssoar.urn.registration	false	de

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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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