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TitleEssays on Item Response Theory [electronic resource] / edited by Anne Boomsma, Marijtje A. J. van Duijn, Tom A. B. Snijders
ImprintNew York, NY : Springer New York : Imprint: Springer, 2001
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Descript XV, 442 p. online resource


1 The Life of Georg Rasch as a Mathematician and as a Statistician -- 2 The Growing Family of Rasch Models -- 3 Gain Scores Revisited Under an IRT Perspective -- 4 Modeling Learning in Short-Term Learning Tests -- 5 An IRT Model for Multiple Raters -- 6 Conditional Independence and Differential Item Functioning in the Two-Parameter Logistic Model -- 7 Differential Item Functioning Depending on General Covariates -- 8 Statistical Tests for Differential Test Functioning in Raschโ{128}{153}s Model for Speed Tests -- 9 Expected Response Functions -- 10 A Logistic IRT Model for Decreasing and Increasing Item Characteristic Curves -- 11 Using Parameter Expansion to Improve the Performance of the EM Algorithm for Multidimensional IRT Population-Survey Models -- 12 Cross-Validating Item Parameter Estimation in Adaptive Testing -- 13 Imputation of Missing Scale Data with Item Response Models -- 14 On the Interplay Between Nonparametric and Parametric IRT, with Some Thoughts About the Future -- 15 Reversibility Revisited and Other Comparisons of Three Types of Polytomous IRT Models -- 16 Progress in NIRT Analysis of Polytomous Item Scores: Dilemmas and Practical Solutions -- 17 Two-Level Nonparametric Scaling for Dichotomous Data -- 18 The Circles of Our Minds: &&A Nonparametric IRT Model for the Circumplex -- 19 Using Resampling Methods to Produce an Improved DIMTEST Procedure -- 20 Person Fit Across Subgroups: An Achievement Testing Example -- 21 Single-Peaked or Monotone Tracelines? On the Choice of an IRT Model for Scaling Data -- 22 Outline of a Faceted Theory of Item Response Data -- Abbreviations

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