ABSTRACT

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.

chapter 1|20 pages

Where We Are Going, and Why, and How

chapter 2|25 pages

A Sociocognitive Perspective

chapter 3|23 pages

The Structure of Assessment Arguments

chapter 6|29 pages

Meaning in Measurement Models

chapter 8|24 pages

Measurement Concepts

chapter 9|27 pages

A Conditional Sense of Fairness

chapter 10|23 pages

Measurement Models and Fairness

chapter 11|21 pages

Item Response Theory I

Item-Level Models

chapter 12|24 pages

Item Response Theory II

Sociocognitive Perspectives

chapter 13|35 pages

Item Response Theory III

Measurement

chapter 14|19 pages

Generalizability Theory

chapter 15|18 pages

Cognitive Diagnosis Models

chapter 16|30 pages

Simulation-Based Assessment

chapter 17|13 pages

Our Story So Far