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Testlet Response Theory and Its Applications


  • Date Published: June 2007
  • availability: In stock
  • format: Paperback
  • isbn: 9780521681261

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About the Authors
  • 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.

    • It is the first comprehensive statement of testlet response theory
    • It is wide ranging, discussing many of the key issues of modern testing
    • It is largely self-contained, including a tutorial on Markov chain Monte Carlo methodology
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    Reviews & endorsements

    '… a very accessible and incredibly delightful book to read. … an excellent resource … a valuable addition to the bookshelves of teachers, students and researchers in testing and measurement.' Psychometrika

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    Product details

    • Date Published: June 2007
    • format: Paperback
    • isbn: 9780521681261
    • length: 280 pages
    • dimensions: 229 x 154 x 12 mm
    • weight: 0.382kg
    • contains: 22 tables 65 exercises
    • availability: In stock
  • Table of Contents

    Part I. Introduction to Testlets:
    1. Introduction to testing
    2. Traditional true score theory
    3. Item response theory
    4. Testlet response theory: introduction and preview
    5. The origins of testlet response theory: three alternatives
    6. Fitting testlets with polytomous IRT models: the Law School Admissions Test as an example
    Part II. Bayesian Testlet Response Theory: Introduction
    7. A brief history and the basic ideas of modern testlet response theory
    8. The 2-PL Bayesian testlet model
    9. The 3-PL Bayesian testlet model
    10. A Bayesian testlet model for a mixture of binary and polytomous data
    11. A Bayesian testlet model with covariates
    12. Testlet nonresponse theory: dealing with missing data
    Part III. Applications and Ancillary Topics: Introduction
    13. Using posterior distributions to evaluate passing scores: The PPoP curve
    14. DIF - Differential Testlet Functioning
    15. Estimation: a Bayesian primer.

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    Testlet Response Theory and Its Applications

    Howard Wainer, Eric T. Bradlow, Xiaohui Wang

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  • Authors

    Howard Wainer, National Board of Medical Examiners, Philadelphia
    Dr Howard Wainer is a Distinguished Research Scientist for the National Board of Medical Examiners and Adjunct Professor of Statistics at the Wharton School of the University of Pennsylvania.

    Eric T. Bradlow, University of Pennsylvania
    Eric T. Bradlow is the K. P. Chao Professor, Professor of Marketing and Statistics, and Academic Director of the Wharton Small Business Development Center, Wharton School of the University of Pennsylvania. Before joining the Wharton faculty, he worked in the Corporate Marketing and Business Research Division at the DuPont Corporation, and in the Statistics and Psychometrics Research Group at the Educational Testing Service. Bradlow was recently named a Fellow of the American Statistical Association.

    Xiaohui Wang, University of Virginia
    Dr Xiaohui Wang is an Assistant Professor in the Department of Statistics at the University of Virginia. She worked as a Principal Data Analyst for three years in the Division of Data Analysis and Research Technology at the Educational Testing Service. She has twice received the National Council on Measurement in Education Award for Scientific Contribution to a Field of Educational Measurement.

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