Statistical Models for Test Equating, Scaling, and Linking edited by Alina A. Davier.

Statistical Models for Test Equating, Scaling, and Linking

The goal of this book is to emphasize the formal statistical features of the practice of equating, linking, and scaling. The book encourages the view and discusses the quality of the equating results from the statistical perspective (new models, robustness, fit, testing hypotheses, statistical monit...

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Bibliographic Details
Main Author: Davier, Alina A. von
Corporate Author: SpringerLink (Online service)
Format: Electronic eBook
Language:English
Published: New York, NY : Springer New York : Imprint: Springer, 2011.
Series:Statistics for social and behavioral sciences.
Subjects:
Education.
Educational tests and measurements.
Statistics.
Psychometrics.
Online Access: Full text (Wentworth users only).
Table of Contents:
  • Overview
  • A Statistical Perspective on Equating Test Scores (Alina A. von Davier)
  • Part I: Research Questions and Data Collection Designs
  • Equating Test Scores: Toward Best Practices Neil J. Dorans, Tim P. Moses, and Daniel R. Eignor)
  • Scoring and Scaling Educational Tests Michael J. Kolen, Ye Tong, and Robert L. Brennan)
  • Statistical Models for Vertical Linking James E. Carlson)
  • An Empirical Example of Change Analysis by Linking Longitudinal Item Response Data From Multiple Tests (John J. McArdle and Kevin J. Grimm)
  • How to Average Equating Functions, If You Must (Paul W. Holland and William E. Strawderman)
  • New Approaches to Equating With Small Samples (Samuel A. Livingston and Sooyeon Kim)
  • Part II: Measurement and Equating Models
  • Using Exponential Families for Equating (Shelby J. Haberman)
  • An Alternative Continuization Method: The Continuized Log-Linear Method (Tianyou Wang)
  • Equating Through Alternative Kernels (Yi-Hsuan Lee and Alina A. von Davier)
  • A Bayesian Nonparametric Model for Test Equating (George Karabatsos and Stephen G. Walker)
  • Generalized Equating Functions for NEAT Designs (Haiwen H. Chen, Samuel A. Livingston, and Paul W. Holland)
  • Local Observed-Score Equating (Wim J. van der Linden)
  • A General Model for IRT Scale Linking and Scale Transformations (Matthias von Davier and Alina A. von Davier)
  • Linking With Nonparametric IRT Models (Xueli Xu, Jeff A. Douglas, and Young-Sun Lee)
  • Part III: Evaluation
  • Applications of Asymptotic Expansion in Item Response Theory Linking (Haruhiko Ogasawara)
  • Evaluating the Missing Data Assumptions of the Chain and Poststratification Equating Methods (Sandip Sinharay, Paul W. Holland, and Alina A. von Davier)
  • Robustness of IRT Observed-Score Equating (C. A. W. Glas and Anton A. Béguin)
  • Hypothesis Testing of Equating Differences in the Kernel Equating Framework (Frank Rijmen, Yanxuan Qu, and Alina A. von Davier)
  • Applying Time-Series Analysis to Detect Scale Drift (Deping Li, Shuhong Li, and Alina A. von Davier).

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