An edition of Large-Scale Cognitive Assessment (2020)

Large-Scale Cognitive Assessment

Analyzing PIAAC Data

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Large-Scale Cognitive Assessment
Débora B. Maehler
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Last edited by MARC Bot
November 17, 2020 | History
An edition of Large-Scale Cognitive Assessment (2020)

Large-Scale Cognitive Assessment

Analyzing PIAAC Data

  • 0 Ratings
  • 0 Want to read
  • 0 Currently reading
  • 0 Have read

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.

Publish Date
Publisher
Springer Nature
Pages
290

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Edition Availability
Cover of: Large-Scale Cognitive Assessment
Large-Scale Cognitive Assessment: Analyzing PIAAC Data
2020, Springer Nature
Cover of: Large-Scale Cognitive Assessment
Large-Scale Cognitive Assessment: Analyzing PIAAC Data
2020, Springer International Publishing AG
in English
Cover of: Large-Scale Cognitive Assessment
Large-Scale Cognitive Assessment: Analyzing PIAAC Data
2020, Springer International Publishing AG
in English

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Book Details


Edition Notes

Open Access Unrestricted online access

Creative Commons by/4.0/

English

The Physical Object

Pagination
1 electronic resource (290 p.)
Number of pages
290

ID Numbers

Open Library
OL31373627M
ISBN 13
9783030475154

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November 17, 2020 Created by MARC Bot Imported from marc_oapen MARC record.