This is a title in our Understanding Statistics series, which is designed to provide researchers with authoritative guides to understanding, presenting and critiquing analyses and associated inferences. Each volume in the series demonstrates how the relevant topic should be reported -- including det
Essays on Item Response Theory
β Scribed by Erling B. Andersen, Lina WΓΈhlk (auth.), Anne Boomsma, Marijtje A. J. van Duijn, Tom A. B. Snijders (eds.)
- Publisher
- Springer-Verlag New York
- Year
- 2001
- Tongue
- English
- Leaves
- 449
- Series
- Lecture Notes in Statistics 157
- Edition
- 1
- Category
- Library
No coin nor oath required. For personal study only.
β¦ Synopsis
This collection of papers provides an up to date treatment of item response theory, an important topic in educational testing.
β¦ Table of Contents
Front Matter....Pages N1-xv
Front Matter....Pages 1-1
The Life of Georg Rasch as a Mathematician and as a Statistician....Pages 3-24
The Growing Family of Rasch Models....Pages 25-42
Gain Scores Revisited Under an IRT Perspective....Pages 43-68
Modeling Learning in Short-Term Learning Tests....Pages 69-87
An IRT Model for Multiple Raters....Pages 89-108
Conditional Independence and Differential Item Functioning in the Two-Parameter Logistic Model....Pages 109-129
Differential Item Functioning Depending on General Covariates....Pages 131-148
Statistical Tests for Differential Test Functioning in Raschβs Model for Speed Tests....Pages 149-162
Expected Response Functions....Pages 163-171
A Logistic IRT Model for Decreasing and Increasing Item Characteristic Curves....Pages 173-192
Using Parameter Expansion to Improve the Performance of the EM Algorithm for Multidimensional IRT Population-Survey Models....Pages 193-204
Cross-Validating Item Parameter Estimation in Adaptive Testing....Pages 205-219
Imputation of Missing Scale Data with Item Response Models....Pages 221-244
Front Matter....Pages 245-245
On the Interplay Between Nonparametric and Parametric IRT, with Some Thoughts About the Future....Pages 247-276
Reversibility Revisited and Other Comparisons of Three Types of Polytomous IRT Models....Pages 277-296
Progress in NIRT Analysis of Polytomous Item Scores: Dilemmas and Practical Solutions....Pages 297-318
Two-Level Nonparametric Scaling for Dichotomous Data....Pages 319-338
The Circles of Our Minds: A Nonparametric IRT Model for the Circumplex....Pages 339-356
Using Resampling Methods to Produce an Improved DIMTEST Procedure....Pages 357-375
Person Fit Across Subgroups: An Achievement Testing Example....Pages 377-390
Front Matter....Pages 245-245
Single-Peaked or Monotone Tracelines? On the Choice of an IRT Model for Scaling Data....Pages 391-414
Outline of a Faceted Theory of Item Response Data....Pages 415-432
Back Matter....Pages 433-441
β¦ Subjects
Statistics for Social Science, Behavorial Science, Education, Public Policy, and Law
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