The Kernel Method of Test Equating

• Main Authors: Davier, Alina A. von (Author), Holland, Paul W. (Author), Thayer, Dorothy T. (Author)
• Corporate Author: SpringerLink (Online service)
• Format: Electronic eBook
• Language: English
• Published: New York, NY : Springer New York, 2004.
• Series: Statistics for Social Science and Behavorial Sciences
• Subjects: Assessment.; Statistics.; Econometrics.; Psychometrics.; Economics.; Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law.; Assessment, Testing and Evaluation.

Kernel Equating (KE) is a powerful, modern and unified approach to test equating. It is based on a flexible family of equipercentile-like equating functions and contains the linear equating function as a special case. Any equipercentile equating method has five steps or parts. They are: 1) pre-smoot...

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.