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Polytomous Item Response Theory Models

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Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.08.2005

Verlag

Sage Publications

Seitenzahl

120

Maße (L/B/H)

21.6/14/0.8 cm

Gewicht

170 g

Sprache

Englisch

ISBN

978-0-7619-3068-6

Beschreibung

Produktdetails

Einband

Taschenbuch

Erscheinungsdatum

05.08.2005

Verlag

Sage Publications

Seitenzahl

120

Maße (L/B/H)

21.6/14/0.8 cm

Gewicht

170 g

Sprache

Englisch

ISBN

978-0-7619-3068-6

Herstelleradresse

Libri GmbH
Europaallee 1
36244 Bad Hersfeld
DE

Email: gpsr@libri.de

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  • Produktbild: Polytomous Item Response Theory Models
  • Produktbild: Polytomous Item Response Theory Models
  • Series Editor¿s Introduction
    Acknowledgments
    1. Introduction
    Measurement Theory
    Item Response Theory
    Applying the IRT Model
    Reasons for Using Polytomous IRT Models
    Polytomous IRT Models
    Two Types of Probabilities
    Two Types of Polytomous Models
    Category Boundaries
    Item Category Response Functions
    2. Nominal Response Model
    The Mathematical Model
    Information
    Relationship to Other IRT Models
    Variations
    A Practical Example
    3. Polytomous Rasch Models
    Partial Credit Model
    Category Steps
    The Mathematical Model
    Information
    Relationship to Other IRT Models
    Variations
    PCM Summary
    Rating Scale Model
    The Mathematical Model
    Model Parameters
    Sufficient Statistics and Other Considerations
    Information
    Expected Values and Response Functions
    Response Functions and Information
    Relationship to Other IRT Models
    PCM Scoring Function Formulation and the NRM
    Variations
    Generalized Partial Credit Model
    Discrimination and Polytomous Rasch Models
    Summary of Polytomous Rasch Models
    Three Practical Examples
    4. Samejima Models
    Framework
    From Response Process to Specific Model
    The Homogeneous Case: Graded Response Models
    The Mathematical Model
    Information
    Information for Polytomous Models
    Relationship to Other IRT Models
    From Homogeneous Class to Heterogeneous Class and Back
    A Common Misconception
    Variations
    Summary of Samejima Models
    Potential Weaknesses of the Cumulative Boundary Approach
    Possible Strengths of the Cumulative Boundary Approach
    A Practical Example
    5. Model Selection
    General Criteria
    Mathematical Approaches
    Fit Statistic Problems
    An Example
    Differences in Modeled Outcome
    Conclusion
    Acronyms and Glossary
    Notes
    References
    Index
    About the Authors