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Handbook of International Large-Scale Assessment
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Handbook of International Large-Scale Assessment : Background, Technical Issues, and Methods of Data Analysis

Book Details

Format Paperback / Softback
ISBN-10 1032477431
ISBN-13 9781032477435
Publisher Taylor & Francis Ltd
Imprint Chapman & Hall/CRC
Country of Manufacture GB
Country of Publication GB
Publication Date Jan 21st, 2023
Print length 648 Pages
Weight 960 grams
Dimensions 23.50 x 15.50 x 3.90 cms
Ksh 9,550.00
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International large-scale assessments (ILSAs) of educational achievement such as the Trends in International Mathematics and Science Study and the Programme for International Student Assessment are an increasingly important part of the educational research and policy landscape in the U.S. and internationally. This book will bring together recogn

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.


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