Large-Scale Cognitive Assessment : : Analyzing PIAAC Data / / edited by Débora B. Maehler, Beatrice Rammstedt.
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 worldw...
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| Superior document: | Methodology of Educational Measurement and Assessment, |
|---|---|
| HerausgeberIn: | |
| Place / Publishing House: | Cham : : Springer International Publishing :, Imprint: Springer,, 2020. |
| Year of Publication: | 2020 |
| Edition: | 1st ed. 2020. |
| Language: | English |
| Series: | Methodology of Educational Measurement and Assessment,
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| Physical Description: | 1 online resource (VII, 290 p. 110 illus., 39 illus. in color.) |
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Table of Contents:
- 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 EdSurvey 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).