The Kernel method of test equating

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Bibliographic Information

The Kernel method of test equating

Alina A. von Davier, Paul W. Holland, Dorothy T. Thayer

(Statistics for social science and public policy)

Springer, c2004

Available at  / 9 libraries

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Note

Includes bibliographical references and indexes

Description and Table of Contents

Description

KE is applied to the four major equating designs and to both Chain Equating and Post-Stratification Equating for the Non-Equivalent groups with Anchor Test Design. It will be an important reference for several groups: (a) Statisticians (b) Practitioners and (c) Instructors in psychometric and measurement programs. The authors assume some familiarity with linear and equipercentile test equating, and with matrix algebra.

Table of Contents

and Notation.- and Notation.- The Kernel Method of Test Equating: Theory.- Data Collection Designs.- Kernel Equating: Overview, Pre-smoothing, and Estimation of r and s.- Kernel Equating: Continuization and Equating.- Kernel Equating: The SEE and the SEED.- Kernel Equating versus Other Equating Methods.- The Kernel Method of Test Equating: Applications.- The Equivalent-Groups Design.- The Single-Group Design.- The Counterbalanced Design.- The NEAT Design: Chain Equating.- The NEAT Design: Post-Stratification Equating.

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