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Testlet response theory and its appl...

Bradlow, Eric T.,

Testlet response theory and its applications /

レコード種別:	言語・文字資料 (印刷物) : 単行資料
[NT 15000414] null:	371.26
タイトル / 著者:	Testlet response theory and its applications // Howard Wainer, Eric T. Bradlow, Xiaohui Wang.
その他のタイトル:	Testlet Response Theory & Its Applications
著者:	Wainer, Howard,
その他の著者:	Bradlow, Eric T.,
記述:	1 online resource (xi, 267 pages) : : digital, PDF file(s).
注記:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
主題:	Examinations - Scoring.
主題:	Bayesian statistical decision theory.
国際標準図書番号 (ISBN) :	9780511618765 (ebook)
[NT 15000229] null:	The measurement models employed to score tests have been evolving over the past century from those that focus on the entire test (true score theory) to models that focus on individual test items (item response theory) to models that use small groups of items (testlets) as the fungible unit from which tests are constructed and scored (testlet response theory, or TRT). In this book, the inventors of TRT trace the history of this evolution and explain the character of modern TRT. Written for researchers and professionals in statistics, psychometrics, and educational psychology, the first part offers an accessible introduction to TRT and its applications. The second part presents a comprehensive, self-contained discussion of the model couched within a fully Bayesian framework. Its parameters are estimated using Markov chain Monte Carlo procedures, and the resulting posterior distributions of the parameter estimates yield insights into score stability that were previously unsuspected.
電子資源:	http://dx.doi.org/10.1017/CBO9780511618765

Testlet response theory and its applications /
Wainer, Howard,

Testlet response theory and its applications /Testlet Response Theory & Its ApplicationsHoward Wainer, Eric T. Bradlow, Xiaohui Wang. - 1 online resource (xi, 267 pages) :digital, PDF file(s).

Title from publisher's bibliographic system (viewed on 05 Oct 2015).

The measurement models employed to score tests have been evolving over the past century from those that focus on the entire test (true score theory) to models that focus on individual test items (item response theory) to models that use small groups of items (testlets) as the fungible unit from which tests are constructed and scored (testlet response theory, or TRT). In this book, the inventors of TRT trace the history of this evolution and explain the character of modern TRT. Written for researchers and professionals in statistics, psychometrics, and educational psychology, the first part offers an accessible introduction to TRT and its applications. The second part presents a comprehensive, self-contained discussion of the model couched within a fully Bayesian framework. Its parameters are estimated using Markov chain Monte Carlo procedures, and the resulting posterior distributions of the parameter estimates yield insights into score stability that were previously unsuspected.

ISBN: 9780511618765 (ebook)Subjects--Topical Terms:

614883
Examinations
--Scoring.

LC Class. No.: LB3060.77 / .W35 2007

Dewey Class. No.: 371.26

Testlet response theory and its applications /
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520 $a The measurement models employed to score tests have been evolving over the past century from those that focus on the entire test (true score theory) to models that focus on individual test items (item response theory) to models that use small groups of items (testlets) as the fungible unit from which tests are constructed and scored (testlet response theory, or TRT). In this book, the inventors of TRT trace the history of this evolution and explain the character of modern TRT. Written for researchers and professionals in statistics, psychometrics, and educational psychology, the first part offers an accessible introduction to TRT and its applications. The second part presents a comprehensive, self-contained discussion of the model couched within a fully Bayesian framework. Its parameters are estimated using Markov chain Monte Carlo procedures, and the resulting posterior distributions of the parameter estimates yield insights into score stability that were previously unsuspected.
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http://dx.doi.org/10.1017/CBO9780511618765

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