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Statistical Models for Test Equating, Scaling, and Linking

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Cover of 'Statistical Models for Test Equating, Scaling, and Linking'

Table of Contents

  1. Altmetric Badge
    Book Overview
  2. Altmetric Badge
    Chapter 1 A Statistical Perspective on Equating Test Scores
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    Chapter 2 Equating Test Scores: Toward Best Practices
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    Chapter 3 Scoring and Scaling Educational Tests
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    Chapter 4 Statistical Models for Vertical Linking
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    Chapter 5 An Empirical Example of Change Analysis by Linking Longitudinal Item Response Data From Multiple Tests
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    Chapter 6 How to Average Equating Functions, If You Must
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    Chapter 7 New Approaches to Equating With Small Samples
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    Chapter 8 Using Exponential Families for Equating
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    Chapter 9 An Alternative Continuization Method: The Continuized Log-Linear Method
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    Chapter 10 Equating Through Alternative Kernels
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    Chapter 11 A Bayesian Nonparametric Model for Test Equating
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    Chapter 12 Generalized Equating Functions for NEAT Designs
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    Chapter 13 Local Observed-Score Equating
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    Chapter 14 A General Model for IRT Scale Linking and Scale Transformations
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    Chapter 15 Linking With Nonparametric IRT Models
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    Chapter 16 Applications of Asymptotic Expansion in Item Response Theory Linking
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    Chapter 17 Evaluating the Missing Data Assumptions of the Chain and Poststratification Equating Methods
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    Chapter 18 Robustness of IRT Observed-Score Equating
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    Chapter 19 Hypothesis Testing of Equating Differences in the Kernel Equating Framework
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    Chapter 20 Applying Time-Series Analysis to Detect Scale Drift
Overall attention for this book and its chapters
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Title
Statistical Models for Test Equating, Scaling, and Linking
Published by
Springer New York, January 2011
DOI 10.1007/978-0-387-98138-3
ISBNs
978-0-387-98137-6, 978-0-387-98138-3
Authors

Davier, Alina A

Editors

Alina A. von Davier

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X Demographics

X Demographics

The data shown below were collected from the profile of 1 X user who shared this research output. Click here to find out more about how the information was compiled.
 Mendeley readers

Mendeley readers

The data shown below were compiled from readership statistics for 77 Mendeley readers of this research output. Click here to see the associated Mendeley record.

Geographical breakdown

Country Count As %
United States 2 3%
Japan 2 3%
Chile 1 1%
Germany 1 1%
Spain 1 1%
Unknown 70 91%

Demographic breakdown

Readers by professional status Count As %
Student > Ph. D. Student 18 23%
Student > Master 16 21%
Researcher 11 14%
Student > Bachelor 7 9%
Student > Doctoral Student 4 5%
Other 15 19%
Unknown 6 8%
Readers by discipline Count As %
Psychology 21 27%
Social Sciences 19 25%
Economics, Econometrics and Finance 5 6%
Medicine and Dentistry 4 5%
Mathematics 4 5%
Other 15 19%
Unknown 9 12%

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