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Handbook of Item Response Theory Modeling

Applications to Typical Performance Assessment

Edited by: Steven P. Reise , Dennis A. Revicki

Print publication date:  December  2014
Online publication date:  November  2014

Print ISBN: 9781848729728
eBook ISBN: 9781315736013
Adobe ISBN: 9781317565703

10.4324/9781315736013
 Cite  Marc Record

Book description

Item response theory (IRT) has moved beyond the confines of educational measurement into assessment domains such as personality, psychopathology, and patient-reported outcomes. Classic and emerging IRT methods and applications that are revolutionizing psychological measurement, particularly for health assessments used to demonstrate treatment effectiveness, are reviewed in this new volume. World renowned contributors present the latest research and methodologies about these models along with their applications and related challenges. Examples using real data, some from NIH-PROMIS, show how to apply these models in actual research situations. Chapters review fundamental issues of IRT, modern estimation methods, testing assumptions, evaluating fit, item banking, scoring in multidimensional models, and advanced IRT methods. New multidimensional models are provided along with suggestions for deciding among the family of IRT models available. Each chapter provides an introduction, describes state-of-the art research methods, demonstrates an application, and provides a summary. The book addresses the most critical IRT conceptual and statistical issues confronting researchers and advanced students in psychology, education, and medicine today. Although the chapters highlight health outcomes data the issues addressed are relevant to any content domain.

The book addresses:

IRT models applied to non-educational data especially patient reported outcomes

Differences between cognitive and non-cognitive constructs and the challenges these bring to modeling. 

The application of multidimensional IRT models designed to capture typical performance data. 

Cutting-edge methods for deriving a single latent dimension from multidimensional data

A new model designed for the measurement of constructs that are defined on one end of a continuum such as substance abuse

Scoring individuals under different multidimensional IRT models and item banking for patient-reported health outcomes

How to evaluate measurement invariance, diagnose problems with response categories, and assess growth and change. 

Part 1 reviews fundamental topics such as assumption testing, parameter estimation, and the assessment of model and person fit.  New, emerging, and classic IRT models including modeling multidimensional data and the use of new IRT models in typical performance measurement contexts are examined in Part 2.  Part 3 reviews the major applications of IRT models such as scoring, item banking for patient-reported health outcomes, evaluating measurement invariance, linking scales to a common metric, and measuring growth and change. The book concludes with a look at future IRT applications in health outcomes measurement. The book summarizes the latest advances and critiques foundational topics such a multidimensionality, assessment of fit, handling non-normality, as well as applied topics such as differential item functioning and multidimensional linking. 

Intended for researchers, advanced students, and practitioners in psychology, education, and medicine interested in applying IRT methods, this book also serves as a text in advanced graduate courses on IRT or measurement. Familiarity with factor analysis, latent variables, IRT, and basic measurement theory is assumed. 

Table of contents

Prelims Download PDF
Chapter  1:  Introduction Download PDF
Chapter  2:  Evaluating the Impact of Multidimensionality on Unidimensional Item Response Theory Model Parameters Download PDF
Chapter  3:  Modern Approaches to Parameter Estimation in Item Response Theory Download PDF
Chapter  4:  Estimating the Latent Density in Unidimensional IRT to Permit Non-normality Download PDF
Chapter  5:  The Use of Nonparametric Item Response Theory to Explore Data Quality Download PDF
Chapter  6:  Evaluating the Fit of IRT Models Download PDF
Chapter  7:  Assessing Person Fit in Typical-Response Measures Download PDF
Chapter  8:  Three (or Four) Factors, Four (or Three) Models Download PDF
Chapter  9:  Using Hierarchical IRT Models to Create Unidimensional Measures From Multidimensional Data Download PDF
Chapter  10:  An Illustration of the Two-Tier Item Factor Analysis Model Download PDF
Chapter  11:  Using Projected Locally Dependent Unidimensional Models to Measure Multidimensional Response Data Download PDF
Chapter  12:  Multidimensional Explanatory Item Response Modeling Download PDF
Chapter  13:  Unipolar Item Response Models Download PDF
Chapter  14:  Selecting Among Polytomous IRT Models Download PDF
Chapter  15:  Scoring and Estimating Score Precision Using Multidimensional IRT Models Download PDF
Chapter  16:  Developing Item Banks for Patient-Reported Health Outcomes Download PDF
Chapter  17:  Using Item Response Theory to Evaluate Measurement Invariance in Health-Related Measures Download PDF
Chapter  18:  Detecting Faulty Within-Item Category Functioning With the Nominal Response Model Download PDF
Chapter  19:  Multidimensional Test Linking Download PDF
Chapter  20:  IRT for Growth and Change Download PDF
Chapter  21:  Summary Download PDF
Index Download PDF
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