Handbook of International Large-Scale Assessment: Background, Technical Issues, and Methods of Data Analysis, 1st Edition (Hardback) book cover

Handbook of International Large-Scale Assessment

Background, Technical Issues, and Methods of Data Analysis, 1st Edition

Edited by Leslie Rutkowski, Matthias von Davier, David Rutkowski

Chapman and Hall/CRC

647 pages | 49 B/W Illus.

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pub: 2013-11-12
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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.


"This book is an excellent resource and guide to international large-scale assessments, or ILSAs. The three editors have done an excellent job identifying a group of prominent scholars whose expertise ranges from international testing and behavioral statistics to educational policy. … a seminal source for any university faculty teaching in an educational or psychological measurement program. … a truly monumental effort and all of the authors are to be applauded for their clarity, thoroughness, and didactic approach in explaining what, in many cases, is complex psychometric or sampling theory."

—Terry Ackerman, International Journal of Testing, 2015

Table of Contents

Policy and Research Relevance of International Large-Scale Assessment Data

A Brief Introduction to Modern International Large-Scale Assessment

David Rutkowski, Leslie Rutkowski, and Matthias von Davier

International Large-Scale Assessments: From Research to Policy

Hans Wagemaker

The Impact of International Studies of Academic Achievement on Policy and Research

Stephen P. Heyneman and Bommi Lee

Analytic Processes and Technical Issues Around International Large-Scale Assessment Data

Assessment Design for International Large-Scale Assessments

Leslie Rutkowski, Eugene Gonzalez, Matthias von Davier, and Yan Zhou

Modeling Country-Specific Differential Item Functioning

Cees Glas and Khurrem Jehangir

Sampling, Weighting, and Variance Estimation in International Large-Scale Assessments

Keith Rust

Analytics in International Large-Scale Assessments: Item Response Theory and Population Models

Matthias von Davier and Sandip Sinharay

Imputing Proficiency Data under Planned Missingness in Population Models

Matthias von Davier

Population Model Size, Bias, and Variance in Educational Survey Assessments

Andreas Oranje and Lei Ye

Linking Scales in International Large-Scale Assessments

John Mazzeo and Matthias von Davier

Design Considerations for the Program for International Student Assessment

Jonathan P. Weeks, Matthias von Davier, and Kentaro Yamamoto

Innovative Questionnaire Assessment Methods to Increase Cross-Country Comparability

Patrick C. Kyllonen and Jonas Bertling

Relationship between Computer Use and Educational Achievement

Martin Senkbeil and Jörg Wittwer

Context Questionnaire Scales in TIMSS and PIRLS 2011

Michael O. Martin, Ina V. S. Mullis, Alka Arora and Corinna Preuschoff

Motivation and Engagement in Science Around the Globe: Testing Measurement Invariance with Multigroup Structural Equation Models across 57 Countries Using PISA 2006

Benjamin Nagengast and Herbert W. Marsh

Contextual Indicators in Adult Literacy Studies: The Case of PIAAC

Jim Allen and Rolf van der Velden

Advanced Analytic Methods for Analyzing International Large-Scale Assessment Data

Incorporating Sampling Weights into Single and Multilevel Analyses

Laura M. Stapleton

Multilevel Analysis of Assessment Data

Jee-Seon Kim, Carolyn J. Anderson, and Bryan Keller

Using Structural Equation Models to Analyze ILSA Data

Leslie Rutkowski and Yan Zhou

Efficient Handling of Predictors and Outcomes Having Missing Values

Yongyun Shin

Multilevel Modeling of Categorical Response Variables

Carolyn J. Anderson, Jee-Seon Kim, and Bryan Keller

Causal Inference and Comparative Analysis with Large-Scale Assessment Data

Joseph P. Robinson

Analyzing International Large-Scale Assessment Data within a Bayesian Framework

David Kaplan and Soojin Park

A General Psychometric Approach for Educational Survey Assessments: Flexible Statistical Models and Efficient Estimation Methods

Frank Rijmen, Minjeong Jeon, Matthias von Davier, and Sophia Rabe-Hesketh

About the Series

Chapman & Hall/CRC Statistics in the Social and Behavioral Sciences

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Subject Categories

BISAC Subject Codes/Headings:
MATHEMATICS / Probability & Statistics / General