Winner of the 2017 AERA Division D Significant Contribution to Educational Measurement and Research Methodology Award!
Technological and statistical advances, along with a strong interest in gathering more information about the state of our educational systems, have made it possible to assess more students, in more countries, more often, and in more subject domains. The Handbook of International Large-Scale Assessment: Background, Technical Issues, and Methods of Data Analysis brings together recognized scholars in the field of ILSA, behavioral statistics, and policy to develop a detailed guide that goes beyond database user manuals.
After highlighting the importance of ILSA data to policy and research, the book reviews methodological aspects and features of the studies based on operational considerations, analytics, and reporting. The book then describes methods of interest to advanced graduate students, researchers, and policy analysts who have a good grounding in quantitative methods, but who are not necessarily quantitative methodologists. In addition, it provides a detailed exposition of the technical details behind these assessments, including the test design, the sampling framework, and estimation methods, with a focus on how these issues impact analysis choices.

eBook - PDF
Handbook of International Large-Scale Assessment
Background, Technical Issues, and Methods of Data Analysis
- 623 pages
- English
- PDF
- Available on iOS & Android
eBook - PDF
Handbook of International Large-Scale Assessment
Background, Technical Issues, and Methods of Data Analysis
About this book
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Table of contents
- Front Cover
- Contents
- Editors
- Contributors
- Section I: Policy and Research Relevance of International Large-Scale Assessment Data
- Section II: Analytic Processes and Technical Issues Around International Large-Scale Assessment Data
- Section III: Advanced Analytic Methods for Analyzing International Large-Scale Assessment Data
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Yes, you can access Handbook of International Large-Scale Assessment by Leslie Rutkowski, Matthias von Davier, David Rutkowski in PDF and/or ePUB format, as well as other popular books in Mathematics & Probability & Statistics. We have over 1.5 million books available in our catalogue for you to explore.