Mendeley出力
＜図書＞
Testlet response theory and its applications
| 責任表示 | Howard Wainer, Eric T. Bradlow, Xiaohui Wang |
|---|---|
| データ種別 | 図書 |
| 出版情報 | Cambridge : Cambridge University Press , 2007 |
| 本文言語 | 英語 |
| 大きさ | xi, 267 p. : ill. ; 23 cm |
| 概要 | 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 of the book offers an accessible introduction to TRT and its applications. The rest of the book is 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 parameters yield insights into score stability that were previously unsuspected. The authors received the National Council on Measurement in Education award for scientific contribution to a field of educational measurement for this work. Book jacket. 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 of the book offers an accessible introduction to TRT and its applications. The rest of the book is 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 parameters yield insights into score stability that were previously unsuspected. The authors received the National Council on Measurement in Education award for scientific contribution to a field of educational measurement for this work. Book jacket.続きを見る |
所蔵情報
| 状態 | 巻次 | 所蔵場所 | 請求記号 | 刷年 | 文庫名称 | 資料番号 | コメント | 予約・取寄 | 複写申込 | 自動書庫 |
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: pbk | 文 研究室 | 認知心理/W 15/TE | 2007 |
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021212010005493 |
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書誌詳細
| 一般注記 | Includes bibliographical references (p. 251-260) and indexes |
|---|---|
| 著者標目 | Wainer, Howard Bradlow, Eric T. Wang, Xiaohui |
| 件 名 | LCSH:Examinations -- Scoring
全ての件名で検索
LCSH:Bayesian statistical decision theory |
| 分 類 | LCC:LB3060.77 DC22:371.26 |
| 書誌ID | 1001432983 |
| ISBN | 9780521681261 |
| NCID | BA87297682 |
| 巻冊次 | : pbk ; ISBN:9780521681261 ; XISBN:052168126X : hbk ; ISBN:9780521862721 ; XISBN:0521862728 |
| 登録日 | 2010.11.02 |
| 更新日 | 2010.11.02 |