Handbook of Modern Item Response Theory

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Wim J. van der Linden, Ronald K. Hambleton
Springer Science & Business Media, Nov 15, 1996 - Social Science - 512 pages
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Item response theory has become an essential component in the toolkit of every researcher in the behavioral sciences. It provides a powerful means to study individual responses to a variety of stimuli, and the methodology has been extended and developed to cover many different models of interaction. This volume presents a wide-ranging handbook to item response theory - and its applications to educational and psychological testing. It will serve as both an introduction to the subject and also as a comprehensive reference volume for practitioners and researchers. It is organized into six major sections: the nominal categories model, models for response time or multiple attempts on items, models for multiple abilities or cognitive components, nonparametric models, models for nonmonotone items, and models with special assumptions. Each chapter in the book has been written by an expert of that particular topic, and the chapters have been carefully edited to ensure that a uniform style of notation and presentation is used throughout. As a result, all researchers whose work uses item response theory will find this an indispensable companion to their work and it will be the subject's reference volume for many years to come.
 

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Contents

Item Response Theory Brief History Common Models and Extensions
1
Part I Models for Items with Polytomous Response Formats
29
The Nominal Categories Model
33
A Response Model for MultipleChoice Items
51
The Rating Scale Model
67
Graded Response Model
85
The Partial Credit Model
101
A Steps Model to Analyze Partial Credit
123
Loglinear Multidimensional Item Response Models for Polytomously Scored Items
287
Multicomponent Response Models
305
Multidimensional Linear Logistic Models for Change
323
Part IV Nonparametric Models
347
Nonparametric Models for Dichotomous Responses
351
Nonparametric Models for Polytomous Responses
369
A Functional Approach to Modeling Test Data
381
Part V Models for Nonmonotone Items
395

Sequential Models for Ordered Responses
139
A Generalized Partial Credit Model
153
Part II Models for Response Time or Multiple Attempts on Items
165
A Logistic Model for TimeLimit Tests
169
Models for Speed and TimeLimit Tests
187
MultipleAttempt SingleItem Response Models
209
Part III Models for Multiple Abilities or Cognitive Components
221
Unidimensional Linear Logistic Rasch Models
225
Response Models with Manifest Predictors
245
NormalOgive Multidimensional Model
257
A Linear Logistic Multidimensional Model for Dichotomous Item Response Data
271
A Hyperbolic Cosine IRT Model for Unfolding Direct Responses of Persons to Items
399
PARELLA An IRT Model for Parallelogram Analysis
415
Part VI Models with Special Assumptions About the Response Process
431
Multiple Group IRT
433
Logistic Mixture Models
449
Models for Locally Dependent Responses Conjunctive Item Response Theory
465
Mismatch Models for Test Formats that Permit Partial Information to be Shown
481
Subject Index
495
Author Index
503
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