Handbook of polytomous item response theory models /

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 discussi...

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Bibliographic Details
Other Authors: Nering, Michael L., Ostini, Remo.
Format: eBook
Language:English
Published: New York : Routledge, ©2010.
Subjects:
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245 0 0 |a Handbook of polytomous item response theory models /  |c edited by Michael L. Nering, Remo Ostini. 
260 |a New York :  |b Routledge,  |c ©2010. 
300 |a 1 online resource (ix, 296 pages) :  |b illustrations 
336 |a text  |b txt  |2 rdacontent 
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504 |a Includes bibliographical references and index. 
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505 0 |a 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. 
520 |a 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. 
650 0 |a Social sciences  |x Mathematical models. 
650 0 |a Item response theory. 
650 0 |a Psychometrics. 
650 0 |a Social sciences  |x Statistical methods. 
650 7 |a Item response theory.  |2 fast  |0 (OCoLC)fst00980819 
650 7 |a Psychometrics.  |2 fast  |0 (OCoLC)fst01081639 
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650 7 |a Social sciences  |x Statistical methods.  |2 fast  |0 (OCoLC)fst01122983 
700 1 |a Nering, Michael L. 
700 1 |a Ostini, Remo. 
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