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＜電子ブック＞
Essays on Item Response Theory / edited by Anne Boomsma, Marijtje van Duijn, Tom Snijders
(Lecture Notes in Statistics. ISSN:21977186 ; 157)

版	1st ed. 2001.
出版者	(New York, NY : Springer New York : Imprint: Springer)
出版年	2001
本文言語	英語
大きさ	XV, 442 p : online resource
著者標目	Boomsma, Anne editor Duijn, Marijtje van editor Snijders, Tom editor SpringerLink (Online service)
件　名	LCSH:Social sciences -- Statistical methods  全ての件名で検索 FREE:Statistics in Social Sciences, Humanities, Law, Education, Behavorial Sciences, Public Policy
一般注記	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 HTTP:URL=https://doi.org/10.1007/978-1-4613-0169-1

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