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Handbook of Modern Item Response Theory

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Cover of 'Handbook of Modern Item Response Theory'

Table of Contents

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    Book Overview
  2. Altmetric Badge
    Chapter 1 Item Response Theory: Brief History, Common Models, and Extensions
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    Chapter 2 The Nominal Categories Model
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    Chapter 3 A Response Model for Multiple-Choice Items
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    Chapter 4 The Rating Scale Model
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    Chapter 5 Graded Response Model
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    Chapter 6 The Partial Credit Model
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    Chapter 7 A Steps Model to Analyze Partial Credit
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    Chapter 8 Sequential Models for Ordered Responses
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    Chapter 9 A Generalized Partial Credit Model
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    Chapter 10 A Logistic Model for Time-Limit Tests
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    Chapter 11 Models for Speed and Time-Limit Tests
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    Chapter 12 Multiple-Attempt, Single-Item Response Models
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    Chapter 13 Unidimensional Linear Logistic Rasch Models
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    Chapter 14 Response Models with Manifest Predictors
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    Chapter 15 Normal-Ogive Multidimensional Model
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    Chapter 16 A Linear Logistic Multidimensional Model for Dichotomous Item Response Data
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    Chapter 17 Loglinear Multidimensional Item Response Models for Polytomously Scored Items
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    Chapter 18 Multicomponent Response Models
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    Chapter 19 Multidimensional Linear Logistic Models for Change
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    Chapter 20 Nonparametric Models for Dichotomous Responses
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    Chapter 21 Nonparametric Models for Polytomous Responses
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    Chapter 22 A Functional Approach to Modeling Test Data
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    Chapter 23 A Hyperbolic Cosine IRT Model for Unfolding Direct Responses of Persons to Items
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    Chapter 24 PARELLA: An IRT Model for Parallelogram Analysis
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    Chapter 25 Multiple Group IRT
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    Chapter 26 Logistic Mixture Models
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    Chapter 27 Models for Locally Dependent Responses: Conjunctive Item Response Theory
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    Chapter 28 Mismatch Models for Test Formats that Permit Partial Information to be Shown
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Citations

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Title
Handbook of Modern Item Response Theory
Published by
Springer-Verlag New York, January 1997
DOI 10.1007/978-1-4757-2691-6
ISBNs
978-1-4419-2849-8, 978-1-4757-2691-6, 978-0-387-94661-0
Editors

Wim J. van der Linden, Ronald K. Hambleton

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X Demographics

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Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 191 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 1%
Germany 1 <1%
Peru 1 <1%
France 1 <1%
Japan 1 <1%
Poland 1 <1%
Unknown 184 96%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 39 20%
Researcher 28 15%
Student > Master 25 13%
Student > Bachelor 19 10%
Student > Doctoral Student 13 7%
Other 34 18%
Unknown 33 17%
Readers by discipline Count As %
Psychology 40 21%
Social Sciences 37 19%
Agricultural and Biological Sciences 9 5%
Mathematics 8 4%
Engineering 7 4%
Other 48 25%
Unknown 42 22%