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

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Bìa của 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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Mục lục

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

Ngôn ngữ Anh ● định dạng PDF ● Trang 290 ● ISBN 9783030475154 ● Kích thước tập tin 5.6 MB ● Tuổi tác 02-99 năm ● Biên tập viên Débora B. Maehler & Beatrice Rammstedt ● Nhà xuất bản Springer International Publishing ● Thành phố Cham ● Quốc gia CH ● Được phát hành 2020 ● Có thể tải xuống 24 tháng ● Tiền tệ EUR ● TÔI 7545391 ● Sao chép bảo vệ Adobe DRM
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