This book introduces and explores major topics in contemporary educational measurement: criterion-referenced testing, item response theory (IRT), computer-based testing, cross-lingual and cross-cultural assessment, and accountability testing. Psychometric experts describe forward-looking measurement practices and provide a contextualized understanding of how and why they were developed, how they can be used, and where they may go in the future. In addition to presenting key concepts and formulas, the volume covers established and emerging applications and discusses recurrent challenges that require additional research. A helpful glossary of abbreviations is included. The book is grounded in the work of Ronald K. Hambleton.

This edited volume provides a platform for experts from various fields to introduce and discuss their different perspectives on the topic of teamwork and collaborative problem solving. It brings together researchers in organizational teaming, educational collaboration, tutoring, simulation, and gaming as well as those involved in statistical and psychometric process modelling. This book seeks to channel this expertise towards advances in the measurement and assessment of cognitive and non-cognitive skills of individuals and teams.

Educational Tests and Measurements in the Age of Accountability is a core text for use in a first level graduate course in educational measurement and testing. In addition to covering the topics traditionally found in core textbooks for this course, this text also provides coverage of contemporary topics (including national testing programs, international achievement comparisons, the value added assessment of schools and teachers, and the public policy debate on selective admissions vs. affirmative minority enrollment).

Social Justice and Educational Measurement addresses foundational concerns at the interface of standardized testing and social justice in American schools. Following John Rawls’s philosophical methods, Stein builds and justifies an ethical framework for guiding practices involving educational measurement. This framework demonstrates that educational measurement can both inhibit and ensure just educational arrangements. It also clarifies a principled distinction between efficiency-oriented testing and justice-oriented testing. Through analysis of several historical case studies that exemplify ethical issues related to testing, this book explores and propounds speculative design principles and arguments in favour of radically democratic school reforms, which address how the future of testing might be shaped to ensure justice for all. These case studies cover the widespread use of IQ-style testing in schools during the early decades of the 20th century; the founding of the Educational Testing Service; and the recent history of test-based accountability associated with No Child Left Behind. Social Justice and Educational Measurement will be essential reading for academics, researchers and postgraduate students in education, testing and assessment, and the philosophy of education. It will also be of interest to policymakers and educational administrators.

Several key developments challenge the field of educational measurement today: demands for tests at larger scales with higher stakes, an improved understanding of how people develop capabilities, and new technologies for interactive digital assessments. Sociocognitive Foundations of Educational Measurement integrates new developments in educational measurement and educational psychology in order to provide researchers, testing professionals, and students with an innovative sociocognitive perspective on assessment. This comprehensive volume begins with a broad explanation of the sociocognitive perspective and the foundations of assessment, then provides a series of focused applications to major topics such as assessment arguments, validity, fairness, interactive assessment, and a conception of "measurement" in educational assessment. Classical test theory, item response theory, categorical models, mixture models, cognitive diagnosis models, and Bayesian networks are explored from the resulting perspective. Ideal for specialists in these areas, graduate students, developers, and scholars in both educational measurement and fields that contribute to a sociocognitive perspective, this book consolidates nearly a decade of research into a fresh perspective on educational measurement.