LESLIE RUTKOWSKI / MATTHIAS VON DAVIER / DAVID RUTKOWSKI
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
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.
