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

The Kernel Method of Test Equating (eBook, PDF)

• Format: PDF

Produktbeschreibung

This book will be of interest to statisticians working in the fields of educational testing and psychometrics. It is the first presentation of the kernel method in book form.

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Produktdetails

• Verlag: Springer New York
• Seitenzahl: 230
• Erscheinungstermin: 10. Mai 2006
• Englisch
• ISBN-13: 9780387217192
• Artikelnr.: 43999440

Inhaltsangabe

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.

Rezensionen

From the reviews: "The book is nicely laid out, is extremely well written, and is an excellent text for a semester course or a short course...The book is highly recommended." Short Book Reviews of the International Statistical Institute, December 2004 "This book is well-written and the presentation is clear, rigorous, and concise...A rich set of applications is used to illustrate the methods...This book is a gem! I highly recommend it to any statistician or psychometrician who has even a passing interest in test equating." Pscyhometrika, March 2006 "This is a great book, and it is the first to focus on the kernel method of test equating." Applied Psychological Measurement, September 2005 "The book is nicely laid out, is extremely well written, and is an excellent text for a semester course or a short course. There are sixty-three diagrams and seventy-two references. The book is highly recommended." (N.R. Draper, Short Book Reviews, Vol. 24 (3), 2004) "The book is an important and well-written contribution to the problem of test equating in psychometry and will be welcomed by all researchers in this field." (Joachim Krauth, Mathematical Reviews, 2004j)