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Débora B. Maehler & Beatrice Rammstedt 
Large-Scale Cognitive Assessment 
Analyzing PIAAC Data

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Copertina di Débora B. Maehler & Beatrice Rammstedt: Large-Scale Cognitive Assessment (PDF)


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.



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Chapter 1. Large-Scale Assessment in Education: Analysing PIAAC Data
Débora B. Maehler and Beatrice Rammstedt






Chapter 2. Design and Key Features of the PIAAC Survey of Adults


Irwin Kirsch, Kentaro Yamamoto, and Lale Khorramdel








Chapter 3. Plausible Values – Principles of Item Response Theory and Multiple Imputations


Lale Khorramdel, Matthias von Davier, Eugenio Gonzalez, and Kentaro Yamamoto








Chapter 4. Adult Cognitive and Non-Cognitive Skills: An Overview of Existing PIAAC Data


Débora B. Maehler and Ingo Konradt








Chapter 5. Analysing PIAAC Data with the International Data Explorer (IDE)
Emily Pawlowski and Jaleh Soroui







Chapter 6. Analysing PIAAC data with the IDB Analyzer (SPSS and SAS)


Andrés Sandoval-Hernández and Diego Carrasco








Chapter 7. Analysing PIAAC Data with Stata


François Keslair








Chapter 8. Analysing PIAAC Data with Structural Equation Modelling in Mplus


Ronny Scherer








9. Using Ed Survey to Analyse PIAAC Data


Paul Bailey, Michael Lee, Trang Nguyen, Ting Zhang








Chapter 10. Analysing Log File Data from PIAAC


Frank Goldhammer, Carolin Hahnel, and Ulf Kroehne








Chapter 11. Linking PIAAC Data to Individual Administrative Data: Insights from a German Pilot Project


Jessica Daikeler, Britta Gauly, and Matthias Rosenthal







Lingua Inglese ● Formato PDF ● Pagine 290 ● ISBN 9783030475154 ● Dimensione 5.6 MB ● Età 02-99 anni ● Editore Débora B. Maehler & Beatrice Rammstedt ● Casa editrice Springer International Publishing ● Città Cham ● Paese CH ● Pubblicato 2020 ● Scaricabile 24 mesi ● Moneta EUR ● ID 7545391 ● Protezione dalla copia Adobe DRM
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