The Kernel Method of Test Equating
Statistics for Social Science and Public Policy
Alina von Davier, Paul Holland, Dorothy Thayer
Résumé
This book is aimed at (a) practitioners who need to
equate tests- including those with these responsibilities
in testing companies, state testing agencies and school
districts; (b) statisticians and other research workers
interested in the theory behind such work and the use of
model based statistical methods of data smoothing in
applied work; (c) advanced graduate students in
psychometric and measurement programs.
While there are other books on test equating, and books of
the use of kernel smoothing, no one has published any work
on the kernel method of test equating. It is something of a
unifying idea in equating and brings together several
methods into an organized whole rather than treating them
as a group of disparate methods.
Contents
- Introduction
- The Equating Designs in Common Use
- The Kernel Method of Equating:General Theory
- Random Groups
- Single-Group
- Counterbalance-SingleGroup
- Common Item Chained Equating Methods
- Common Items (External) Anchor Test Methods
- Other Topics
Caractéristiques techniques
| PAPIER | |
| Éditeur(s) | Springer |
| Auteur(s) | Alina von Davier, Paul Holland, Dorothy Thayer |
| Parution | 29/10/2003 |
| Nb. de pages | 228 |
| Format | 16 x 24 |
| Couverture | Broché |
| Poids | 475g |
| Intérieur | Noir et Blanc |
| EAN13 | 9780387019857 |
| ISBN13 | 978-0-387-01985-7 |
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