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Testlet response theory and its appl...

Bradlow, Eric T.,

Testlet response theory and its applications /

紀錄類型:	書目-語言資料,印刷品 : Monograph/item
杜威分類號:	371.26
書名/作者:	Testlet response theory and its applications // Howard Wainer, Eric T. Bradlow, Xiaohui Wang.
其他題名:	Testlet Response Theory & Its Applications
作者:	Wainer, Howard,
其他作者:	Bradlow, Eric T.,
面頁冊數:	1 online resource (xi, 267 pages) : : digital, PDF file(s).
附註:	Title from publisher's bibliographic system (viewed on 05 Oct 2015).
標題:	Examinations - Scoring.
標題:	Bayesian statistical decision theory.
ISBN:	9780511618765 (ebook)
摘要、提要註:	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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