Overview
- First standardized knowledge transfer on how to analyze PIAAC data
- Makes the data from PIAAC and the numerous additional studies transparant to potential users
- Provides numerous examples how the rich and valuable datasets from PIAAC can be used for scientific research questions
Part of the book series: Methodology of Educational Measurement and Assessment (MEMA)
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Table of contents (11 chapters)
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Front Matter
Keywords
About this book
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 conducteddata analysis workshops with these data.
Editors and Affiliations
Bibliographic Information
Book Title: Large-Scale Cognitive Assessment
Book Subtitle: Analyzing PIAAC Data
Editors: Débora B. Maehler, Beatrice Rammstedt
Series Title: Methodology of Educational Measurement and Assessment
DOI: https://doi.org/10.1007/978-3-030-47515-4
Publisher: Springer Cham
eBook Packages: Education, Education (R0)
Copyright Information: The Editor(s) (if applicable) and The Author(s) 2020
Hardcover ISBN: 978-3-030-47514-7Published: 28 July 2020
Softcover ISBN: 978-3-030-47517-8Published: 18 September 2020
eBook ISBN: 978-3-030-47515-4Published: 27 July 2020
Series ISSN: 2367-170X
Series E-ISSN: 2367-1718
Edition Number: 1
Number of Pages: VII, 290
Number of Illustrations: 71 b/w illustrations, 39 illustrations in colour
Topics: Assessment, Testing and Evaluation, Statistics for Social Sciences, Humanities, Law, Education Economics, International and Comparative Education