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Large-scale assessments (LSAs) play a growing role in education policy decisions, accountability, and education planning worldwide. This book focuses on central issues that are key components of successful planning, development and implementation of LSAs. The book’s main distinction is its focus on practice- based, cutting-edge research. This is achieved by having chapters co-authored by world-class researchers in collaboration with measurement practitioners. The result is a how-to book whose language is accessible to practitioners and graduate students as well as academics. No other book so thoroughly covers current issues in the field of large-scale assessment. An introductory chapter is followed by sixteen chapters that each focus on a specific issue. The content is prescriptive and didactic in nature but based on the most recent scientific research. It includes successful experiences, exemplary practices, training modules, interesting breakthroughs or alternatives, and promising innovations regarding large-scale assessments. Finally, it covers meaningful topics that are currently taking center stage such as motivating students, background questionnaires, comparability of different linguistic versions of assessments, and cognitive modeling of learning and assessment. Table of Contents 1. Introduction I. Assessment Design, Development And Delivery 2. Large-scale assessment design and development for the measurement of student cognition 3. Role and Design of Background Questionnaires in Large-scale Assessments 4. Student Motivation in Large-Scale Assessments 5. Computer-Based and Computer-Adaptive Testing II: Assessing Diverse Populations 6. Academic Assessment of English Language Learners: A Critical Probabilistic, Systemic View 7. Score Comparability of Multiple Language Versions of Assessments Within Jurisdictions 8. Accommodating Special Needs for Large-scale Assessments III. Scoring, Score Reporting And Use Of Scores 9. Scoring issues in large-scale assessments 10. Standard Setting: Past, Present and Perhaps the Future 11. From "Here’s the Story" to "You’re in Charge": Developing and Maintaining Large-scale Online Test and Score Reporting Resources 12. Making Value-Added Inferences from Large-Scale Assessments IV. Psychometric Modeling And Statistical Analysis 13. Complex Person and Item Sampling: Implications for Analysis and Inference 14. Taking Atypical Response Patterns into Account:A Multidimensional Measurement Model from Item Response Theory 15. Missing data: Issues and Treatments 16. Measurement and Statistical Analysis Issues with Longitudinal Assessment Data