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The Kernel method of test equating

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  • 229 pages
  • 9 hours of reading

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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.

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The Kernel method of test equating, Alina Anca von Davier

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Released
2004
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