Anne Boomsma / Marijtje van Duijn / Tom Snijders (eds.)
Essays on Item Response Theory
Herausgeber: Duijn, Marijtje van, Snijders, Tom, Boomsma, Anne
Anne Boomsma / Marijtje van Duijn / Tom Snijders (eds.)
Essays on Item Response Theory
Herausgeber: Duijn, Marijtje van, Snijders, Tom, Boomsma, Anne
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This collection of papers provides an up to date treatment of item response theory, an important topic in educational testing.
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This collection of papers provides an up to date treatment of item response theory, an important topic in educational testing.
Produktdetails
- Produktdetails
- Lecture Notes in Statistics Vol.157
- Verlag: Springer / Springer New York / Springer, Berlin
- Artikelnr. des Verlages: 978-0-387-95147-8
- 2000.
- Seitenzahl: 464
- Erscheinungstermin: 7. Dezember 2000
- Englisch
- Abmessung: 235mm x 155mm x 25mm
- Gewicht: 649g
- ISBN-13: 9780387951478
- ISBN-10: 0387951474
- Artikelnr.: 21316788
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
- Lecture Notes in Statistics Vol.157
- Verlag: Springer / Springer New York / Springer, Berlin
- Artikelnr. des Verlages: 978-0-387-95147-8
- 2000.
- Seitenzahl: 464
- Erscheinungstermin: 7. Dezember 2000
- Englisch
- Abmessung: 235mm x 155mm x 25mm
- Gewicht: 649g
- ISBN-13: 9780387951478
- ISBN-10: 0387951474
- Artikelnr.: 21316788
- Herstellerkennzeichnung
- Springer-Verlag GmbH
- Tiergartenstr. 17
- 69121 Heidelberg
- ProductSafety@springernature.com
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 Rasch'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.
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 Rasch'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.







