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Models for Uncertainty in Educational Testing

  • Nicholas T. Longford

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

Table of contents

  1. Front Matter
    Pages i-xiv
  2. Nicholas T. Longford
    Pages 1-15
  3. Nicholas T. Longford
    Pages 17-46
  4. Nicholas T. Longford
    Pages 47-75
  5. Nicholas T. Longford
    Pages 77-103
  6. Nicholas T. Longford
    Pages 105-132
  7. Nicholas T. Longford
    Pages 133-155
  8. Nicholas T. Longford
    Pages 157-197
  9. Nicholas T. Longford
    Pages 199-230
  10. Nicholas T. Longford
    Pages 231-249
  11. Nicholas T. Longford
    Pages 251-272
  12. Back Matter
    Pages 273-286

About this book

Introduction

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.

Keywords

Estimator Fitting Generalized linear model Likelihood Logistic Regression Percentile Variance best fit correlation expectation–maximization algorithm

Authors and affiliations

  • Nicholas T. Longford
    • 1
  1. 1.Research DivisionEducational Testing ServicePrincetonUSA

Bibliographic information

  • DOI https://doi.org/10.1007/978-1-4613-8463-2
  • Copyright Information Springer-Verlag New York 1995
  • Publisher Name Springer, New York, NY
  • eBook Packages Springer Book Archive
  • Print ISBN 978-1-4613-8465-6
  • Online ISBN 978-1-4613-8463-2
  • Series Print ISSN 0172-7397
  • Buy this book on publisher's site