The Kernel method of test equating
- 229pages
- 9 heures de lecture
This book will be an important reference for several groups: (a) statisticians and others interested in the theory behind equating methods and the use of model-based statistical methods for data smoothing in applied work; (b) practitioners who need to equate tests, including those with these responsibilities in testing companies, state testing agencies, and school districts; and (c) instructors in psychometric and measurement programs. The authors assume some familiarity with linear and equipercentile test equating, and with matrix algebra.
