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

Leslie Rutkowski, Matthias von Davier, David Rutkowski

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November 12, 2013 by Chapman and Hall/CRC
Handbook - 647 Pages - 49 B/W Illustrations
ISBN 9781439895122 - CAT# K14222
Series: Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

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Features

  • Provides a resource for advanced analyses of ILSA data, including worked examples, data, and syntax
  • Supplies insight from highly distinguished and prominent contributors to the ILSA field
  • Covers cutting-edge methods for dealing with operational issues unique to international assessment
  • Emphasizes such ILSA issues as assessment design, estimation methods, sampling, scale linking, and other topics related to primary analysis and reporting
  • Broadens methodological treatments of design features and analytic technologies to provide an overview of different perspectives on how to utilize the rich background questionnaires that are an important part of ILSAs
  • Presents both a Frequentist and Bayesian perspective on applying structural equation models to ILSA data
  • Includes specific insights into dealing with sampling weights and missing data

Summary

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.