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Handbook of International Large-Scale Assessment

Background, Technical Issues, and Methods of Data Analysis

Edited by: Leslie Rutkowski , Matthias von Davier , David Rutkowski

Print publication date:  November  2013
Online publication date:  November  2013

Print ISBN: 9781439895122
eBook ISBN: 9781439895146
Adobe ISBN:

10.1201/b16061
 Cite  Marc Record

Book description

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.

Table of contents

Chapter  1:  A Brief Introduction to Modern International Large-Scale Assessment Download PDF
Chapter  2:  International Large-Scale Assessments: From Research to Policy Download PDF
Chapter  3:  The Impact of International Studies of Academic Achievement on Policy and Research Download PDF
Chapter  4:  Assessment Design for International Large-Scale Assessments Download PDF
Chapter  5:  Modeling Country-Specific Differential Item Functioning Download PDF
Chapter  6:  Sampling, Weighting, and Variance Estimation in International Large-Scale Assessments Download PDF
Chapter  7:  Analytics in International Large-Scale Assessments: Item Response Theory and Population Models Download PDF
Chapter  8:  Imputing Proficiency Data under Planned Missingness in Population Models Download PDF
Chapter  9:  Population Model Size, Bias, and Variance in Educational Survey Assessments Download PDF
Chapter  10:  Linking Scales in International Large-Scale Assessments Download PDF
Chapter  11:  Design Considerations for the Program for International Student Assessment Download PDF
Chapter  12:  Innovative Questionnaire Assessment Methods to Increase Cross-Country Comparability Download PDF
Chapter  13:  Relationship between Computer Use and Educational Achievement Download PDF
Chapter  14:  Context Questionnaire Scales in TIMSS and PIRLS 2011  Download PDF
Chapter  15:  Motivation and Engagement in Science around the Globe: Testing Measurement Invariance with Multigroup Structural Equation Models across 57 Countries Using PISA 2006 Download PDF
Chapter  16:  Contextual Indicators in Adult Literacy Studies: The Case of PIAAC Download PDF
Chapter  17:  Incorporating Sampling Weights into Single- and Multilevel Analyses Download PDF
Chapter  18:  Multilevel Analysis of Assessment Data Download PDF
Chapter  19:  Using Structural Equation Models to Analyze ILSA Data Download PDF
Chapter  20:  Efficient Handling of Predictors and Outcomes Having Missing Values Download PDF
Chapter  21:  Multilevel Modeling of Categorical Response Variables Download PDF
Chapter  22:  Causal Inference and Comparative Analysis with Large-Scale Assessment Data Download PDF
Chapter  23:  Analyzing International Large-Scale Assessment Data within a Bayesian Framework Download PDF
Chapter  24:  A General Psychometric Approach for Educational Survey Assessments: Flexible Statistical Models and Efficient Estimation Methods Download PDF
prelims Download PDF
Index Download PDF
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