Models for Uncertainty in Educational Testing

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Overview

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 ...
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Paperback (Softcover reprint of the original 1st ed. 1995)
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More About This Book

Overview

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.
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Product Details

  • ISBN-13: 9781461384656
  • Publisher: Springer-Verlag New York, LLC
  • Publication date: 7/31/2012
  • Series: Springer Series in Statistics
  • Edition description: Softcover reprint of the original 1st ed. 1995
  • Edition number: 1
  • Pages: 299
  • Product dimensions: 6.14 (w) x 9.21 (h) x 0.64 (d)

Table of Contents

Preface
1 Inference about variation 1
2 Reliability of essay rating 17
3 Adjusting subjectively rated scores 47
4 Rating several essays 77
5 Summarizing item-level properties 105
6 Equating and equivalence of tests 133
7 Inference from surveys with complex sampling design 157
8 Small-area estimation 199
9 Cut scores for pass/fail decisions 231
10 Incomplete longitudinal data 251
References 273
Index 279
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