Testlet Response Theory and Its Applications

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Title: Testlet Response Theory and Its Applications
Description: 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.
Authors: Howard Wainer, Eric T. Bradlow, Xiaohui Wang
Resource Type: eBook.
Subjects: Bayesian statistical decision theory, Examinations--Scoring
Categories: EDUCATION / Testing & Measurement, EDUCATION / Evaluation & Assessment, STUDY AIDS / Tests (Other)
Database: eBook Collection (EBSCOhost)
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  – Type: ebook-pdf
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  Availability: 0
Header DbId: nlebk
DbLabel: eBook Collection (EBSCOhost)
An: 194267
RelevancyScore: 1012
AccessLevel: 6
PubType: eBook
PubTypeId: ebook
PreciseRelevancyScore: 1011.53295898438
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  Data: Testlet Response Theory and Its Applications
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  Label: Description
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  Data: 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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  Data: <searchLink fieldCode="AR" term="%22Howard+Wainer%22">Howard Wainer</searchLink><br /><searchLink fieldCode="AR" term="%22Eric+T%2E+Bradlow%22">Eric T. Bradlow</searchLink><br /><searchLink fieldCode="AR" term="%22Xiaohui+Wang%22">Xiaohui Wang</searchLink>
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  Data: eBook.
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  Data: <searchLink fieldCode="DE" term="%22Bayesian+statistical+decision+theory%22">Bayesian statistical decision theory</searchLink><br /><searchLink fieldCode="DE" term="%22Examinations--Scoring%22">Examinations--Scoring</searchLink>
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RecordInfo BibRecord:
  BibEntity:
    Classifications:
      – Code: 371.26
        Scheme: ddc
        Type: prePub
    Languages:
      – Code: eng
        Text: English
    Subjects:
      – SubjectFull: Bayesian statistical decision theory
        Type: general
      – SubjectFull: Examinations--Scoring
        Type: general
    Titles:
      – TitleFull: Testlet Response Theory and Its Applications
        Type: main
  BibRelationships:
    HasContributorRelationships:
      – PersonEntity:
          Name:
            NameFull: Howard Wainer
      – PersonEntity:
          Name:
            NameFull: Eric T. Bradlow
      – PersonEntity:
          Name:
            NameFull: Xiaohui Wang
      – PersonEntity:
          Name:
            NameFull: Howard Wainer
      – PersonEntity:
          Name:
            NameFull: Eric T. Bradlow
      – PersonEntity:
          Name:
            NameFull: Xiaohui Wang
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          Dates:
            – D: 01
              M: 01
              Type: published
              Y: 2007
            – D: 04
              M: 02
              Type: profile
              Y: 2014
          Identifiers:
            – Type: isbn-print
              Value: 9780521862721
            – Type: isbn-electronic
              Value: 9780511279157
          Titles:
            – TitleFull: Testlet Response Theory and Its Applications
              Type: main
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