Essays on Item Response Theory

Front Matter

The Life of Georg Rasch as a Mathematician and as a Statistician

• Erling B. Andersen, Lina Wøhlk

The Growing Family of Rasch Models

• Jürgen Rost

Gain Scores Revisited Under an IRT Perspective

• Gerhard H. Fischer

Modeling Learning in Short-Term Learning Tests

• Karl Christoph Klauer, Hubert Sydow

An IRT Model for Multiple Raters

• Norman D. Verhelst, Huub H. F. M. Verstralen

Conditional Independence and Differential Item Functioning in the Two-Parameter Logistic Model

• Herbert Hoijtink

Differential Item Functioning Depending on General Covariates

• Cees A. W. Glas

Statistical Tests for Differential Test Functioning in Rasch’s Model for Speed Tests

• Margo G. H. Jansen, Cees A. W. Glas

Expected Response Functions

• Charles Lewis

A Logistic IRT Model for Decreasing and Increasing Item Characteristic Curves

• Edwin L. Klinkenberg

Using Parameter Expansion to Improve the Performance of the EM Algorithm for Multidimensional IRT Population-Survey Models

• Donald B. Rubin, Neal Thomas

Cross-Validating Item Parameter Estimation in Adaptive Testing

• Wim J. van der Linden, Cees A. W. Glas

Imputation of Missing Scale Data with Item Response Models

• Mark Huisman, Ivo W. Molenaar

Front Matter

On the Interplay Between Nonparametric and Parametric IRT, with Some Thoughts About the Future

• Brian Junker

Reversibility Revisited and Other Comparisons of Three Types of Polytomous IRT Models

• Bas T. Hemker

Progress in NIRT Analysis of Polytomous Item Scores: Dilemmas and Practical Solutions

• Klaas Sijtsma, L. van der Andries Ark

Two-Level Nonparametric Scaling for Dichotomous Data

• Tom A. B. Snijders