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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.
Policy and Research Relevance of International Large-Scale Assessment DataA Brief Introduction to Modern International Large-Scale AssessmentDavid Rutkowski, Leslie Rutkowski, and Matthias von DavierInternational Large-Scale Assessments: From Research to PolicyHans WagemakerThe Impact of International Studies of Academic Achievement on Policy and ResearchStephen P. Heyneman and Bommi LeeAnalytic Processes and Technical Issues Around International Large-Scale Assessment DataAssessment Design for International Large-Scale AssessmentsLeslie Rutkowski, Eugene Gonzalez, Matthias von Davier, and Yan ZhouModeling Country-Specific Differential Item FunctioningCees Glas and Khurrem JehangirSampling, Weighting, and Variance Estimation in International Large-Scale AssessmentsKeith RustAnalytics in International Large-Scale Assessments: Item Response Theory and Population ModelsMatthias von Davier and Sandip SinharayImputing Proficiency Data under Planned Missingness in Population ModelsMatthias von DavierPopulation Model Size, Bias, and Variance in Educational Survey AssessmentsAndreas Oranje and Lei YeLinking Scales in International Large-Scale AssessmentsJohn Mazzeo and Matthias von DavierDesign Considerations for the Program for International Student AssessmentJonathan P. Weeks, Matthias von Davier, and Kentaro YamamotoInnovative Questionnaire Assessment Methods to Increase Cross-Country ComparabilityPatrick C. Kyllonen and Jonas BertlingRelationship between Computer Use and Educational AchievementMartin Senkbeil and Joerg WittwerContext Questionnaire Scales in TIMSS and PIRLS 2011Michael O. Martin, Ina V. S. Mullis, Alka Arora and Corinna PreuschoffMotivation and Engagement in Science Around the Globe: Testing Measurement Invariance with Multigroup Structural Equation Models across 57 Countries Using PISA 2006Benjamin Nagengast and Herbert W. MarshContextual Indicators in Adult Literacy Studies: The Case of PIAACJim Allen and Rolf van der VeldenAdvanced Analytic Methods for Analyzing International Large-Scale Assessment DataIncorporating Sampling Weights into Single and Multilevel AnalysesLaura M. StapletonMultilevel Analysis of Assessment DataJee-Seon Kim, Carolyn J. Anderson, and Bryan KellerUsing Structural Equation Models to Analyze ILSA DataLeslie Rutkowski and Yan ZhouEfficient Handling of Predictors and Outcomes Having Missing ValuesYongyun ShinMultilevel Modeling of Categorical Response VariablesCarolyn J. Anderson, Jee-Seon Kim, and Bryan KellerCausal Inference and Comparative Analysis with Large-Scale Assessment DataJoseph P. RobinsonAnalyzing International Large-Scale Assessment Data within a Bayesian FrameworkDavid Kaplan and Soojin ParkA General Psychometric Approach for Educational Survey Assessments: Flexible Statistical Models and Efficient Estimation MethodsFrank Rijmen, Minjeong Jeon, Matthias von Davier, and Sophia Rabe-Hesketh
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- ID: 9781439895122
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