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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.
A New Juvenile Justice System aims at nothing less than a complete reform of the existing system: not minor change or even significant overhaul, but the replacement of the existing system with a different vision. The authors in this volume—academics, activists, researchers, and those who serve in the existing system—all respond in this collection to the question of what the system should be. Uniformly, they agree that an ideal system should be centered around the principle of child well-being and the goal of helping kids to achieve productive lives as citizens and members of their communities. Rather than the existing system, with its punitive, destructive, undermining effect and uneven ...
New to This Edition *Extensively revised to cover important new topics: Pearl' s graphing theory and SCM, causal inference frameworks, conditional process modeling, path models for longitudinal data, item response theory, and more. *Chapters on best practices in all stages of SEM, measurement invariance in confirmatory factor analysis, and significance testing issues and bootstrapping. *Expanded coverage of psychometrics. *Additional computer tools: online files for all detailed examples, previously provided in EQS, LISREL, and Mplus, are now also given in Amos, Stata, and R (lavaan). *Reorganized to cover the specification, identification, and analysis of observed variable models separately from latent variable models. Pedagogical Features *Exercises with answers, plus end-of-chapter annotated lists of further reading. *Real examplesof troublesome data, demonstrating how to handle typical problems in analyses.
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The Second Edition of this handbook provides comprehensive coverage of the concept of accessibility and its application to the design and implementation of instruction and tests with all students. It updates and expands on its original contents and responds to the increasing demand for research-based evidence of accessible instruction and testing practices from the professional community. Chapters explore how outcomes are affected when essential features or components of instructional materials and tests are not accessible to any portion of the student population. The handbook addresses the new set of Standards for Educational and Psychological Testing that was published in 2014 as well as r...
Schools across the U.S. look very different today than they did a generation ago. Police officers, drug-sniffing dogs, surveillance cameras, and high suspension rates have become commonplace. The Real School Safety Problem uncovers the unintended but far-reaching effects of harsh school discipline climates. Evidence shows that current school security practices may do more harm than good by broadly affecting the entire family, encouraging less civic participation in adulthood, and garnering future financial costs in the form of high rates of arrests, incarceration, and unemployment. This text presents a blueprint for reform that emphasizes problem-solving and accountability while encouraging the need to implement smarter school policies.Ê
Drawing on the work of internationally acclaimed experts in the field, Handbook of Item Response Theory, Volume Two: Statistical Tools presents classical and modern statistical tools used in item response theory (IRT). While IRT heavily depends on the use of statistical tools for handling its models and applications, systematic introductions and reviews that emphasize their relevance to IRT are hardly found in the statistical literature. This second volume in a three-volume set fills this void. Volume Two covers common probability distributions, the issue of models with both intentional and nuisance parameters, the use of information criteria, methods for dealing with missing data, and model identification issues. It also addresses recent developments in parameter estimation and model fit and comparison, such as Bayesian approaches, specifically Markov chain Monte Carlo (MCMC) methods.
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 reconc...