Description |
1 online resource (ix, 296 pages) : illustrations |
Physical Medium |
polychrome |
Description |
text file |
Bibliography |
Includes bibliographical references and index. |
Contents |
Book Cover; Title; Copyright; Contents; Preface; Contributors; PART I: DEVELOPMENT OF POLYTOMOUS IRT MODELS; CHAPTER 1 New Perspectives and Applications; CHAPTER 2 IRT Models for the Analysis of Polytomously scored Data: Brief and Selected History of Model Building Advances; CHAPTER 3 The Nominal Categories Item Response Model; CHAPTER 4 The General Graded Response Model; CHAPTER 5 The Partial Credit Model; CHAPTER 6 Understanding the Response Structure and Process in the Polytomous Rasch Model; PART II: POLYTOMOUS IRT MODEL EVALUATION; CHAPTER 7 Factor Analysis of Categorical Item Responses. |
Summary |
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 boo. |
Local Note |
eBooks on EBSCOhost EBSCO eBook Subscription Academic Collection - North America |
Subject |
Social sciences -- Mathematical models.
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Social sciences -- Mathematical models. |
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Item response theory.
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Item response theory. |
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Psychometrics.
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Psychometrics. |
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Social sciences -- Statistical methods.
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Social sciences -- Statistical methods. |
Genre/Form |
Electronic books.
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Added Author |
Nering, Michael L.
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Ostini, Remo.
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Other Form: |
Print version: Handbook of polytomous item response theory models. New York : Routledge, ©2010 9780805859928 (DLC) 2009046380 (OCoLC)430052224 |
ISBN |
9780203861264 (electronic book) |
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0203861264 (electronic book) |
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9780805859928 |
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0805859926 |
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