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Models for Uncertainty in Educational Testing

  • Book
  • © 1995

Overview

Authors:
  1. Nicholas T. Longford

    1. Research Division, Educational Testing Service, Princeton, USA

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Part of the book series: Springer Series in Statistics (SSS)

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Table of contents (10 chapters)

  1. Front Matter

    Pages i-xiv
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  2. Inference about variation

    • Nicholas T. Longford
    Pages 1-15

  3. Reliability of essay rating

    • Nicholas T. Longford
    Pages 17-46

  4. Adjusting subjectively rated scores

    • Nicholas T. Longford
    Pages 47-75

  5. Rating several essays

    • Nicholas T. Longford
    Pages 77-103

  6. Summarizing item-level properties

    • Nicholas T. Longford
    Pages 105-132

  7. Equating and equivalence of tests

    • Nicholas T. Longford
    Pages 133-155

  8. Inference from surveys with complex sampling design

    • Nicholas T. Longford
    Pages 157-197

  9. Small-area estimation

    • Nicholas T. Longford
    Pages 199-230

  10. Cut scores for pass/fail decisions

    • Nicholas T. Longford
    Pages 231-249

  11. Incomplete longitudinal data

    • Nicholas T. Longford
    Pages 251-272

  12. Back Matter

    Pages 273-286
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Keywords

About this book

A theme running through this book is that of making inference about sources of variation or uncertainty, and the author shows how information about these sources can be used for improved estimation of certain elementary quantities. Amongst the topics covered are: essay rating, summarizing item-level properties, equating of tests, small-area estimation, and incomplete longitudinal studies. Throughout, examples are given using real data sets which exemplify these applications.

Authors and Affiliations

  • Research Division, Educational Testing Service, Princeton, USA

    Nicholas T. Longford

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