This comprehensive Handbook focuses on the most used polytomous
item response theory (IRT) models. These models help us understand
the interaction between examinees and test questions where the
questions have various response categories. The book reviews all of
the major models and includes discussions about how and where the
models originated, conceptually and in practical terms. Diverse
perspectives on how these models can best be evaluated are also
provided. Practical applications provide a realistic account of the
issues practitioners face using these models. Disparate elements of
the book are linked through editorial sidebars that connect common
ideas across chapters, compare and reconcile differences in
terminology, and explain variations in mathematical notation. These
sidebars help to demonstrate the commonalities that exist across
the field. By assembling this critical information, the editors
hope to inspire others to use polytomous IRT models in their own
research so they too can achieve the type of improved measurement
that such models can provide.
Part 1 examines the most commonly used polytomous IRT models,
major issues that cut across these models, and a common notation
for calculating functions for each model. An introduction to IRT
software is also provided. Part 2 features distinct approaches to
evaluating the effectiveness of polytomous IRT models in various
measurement contexts. These chapters appraise evaluation procedures
and fit tests and demonstrate how to implement these procedures
using IRT software. The final section features groundbreaking
applications. Here the goal is to provide solutions to technical
problems to allow for the most effective use of these models in
measuring educational, psychological, and social science abilities
and traits. This section also addresses the major issues
encountered when using polytomous IRT models in computerized
adaptive testing. Equating test scores across different testing
contexts is the focus of the last chapter. The various contexts
include personality research, motor performance, health and quality
of life indicators, attitudes, and educational achievement.
Featuring contributions from the leading authorities, this
handbook will appeal to measurement researchers, practitioners, and
students who want to apply polytomous IRT models to their own
research. It will be of particular interest to education and
psychology assessment specialists who develop and use tests and
measures in their work, especially researchers in clinical,
educational, personality, social, and health psychology. This book
also serves as a supplementary text in graduate courses on
educational measurement, psychometrics, or item response
theory.
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