Models for Uncertainty in Educational Testing

1. Front Matter

   Pages i-xiv

   PDF

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

    PDF

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.

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

• Research Division, Educational Testing Service, Princeton, USA

  Nicholas T. Longford

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