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項目反應理論手冊(第1卷模型)(英文)/國外優秀數學著作原版系列

  • 作者:編者:(美)維姆·J.范·德·林登|責編:劉春雷//李蘭靜
  • 出版社:哈爾濱工業大學
  • ISBN:9787560398174
  • 出版日期:2021/11/01
  • 裝幀:平裝
  • 頁數:606
人民幣:RMB 138 元      售價:
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內容大鋼
    本書的所有章節有一個共同的形式,即每一章都聚焦于一組模型或者模型方法,每章的「介紹部分」包含了一些模型的歷史以及目的和重要性;還形象地展示了模型,對其參數進行估計,展示如何評估其與經驗數據的擬合程度,通過一個經驗性的例子解釋模型的應用,並且討論了其更加深遠的應用及待解決的研究問題。
    本書具體內容包括基本工具(離散分佈、多元正態分佈等)、建模問題(項目反應理論的識別、項目反應理論中的反應缺失等)、參數估計和模型擬合與比較。

作者介紹
編者:(美)維姆·J.范·德·林登|責編:劉春雷//李蘭靜

目錄
Contents for Statistical Tools
Contents for Applications
Preface
Contributors
  1. Introduction
    Wire J. van der Linden
Section Ⅰ  Dichotomous Models
  2. Unidimensional Logistic Response Models
    Wire J. van der Linden
  3. Rasch Model
    Matthias von Davier
Section Ⅱ  Nominal and Ordinal Models
  4. Nominal Categories Models
    David Thissen and Li Cai
  5. Rasch Rating-Scale Model
    David Andrich
  6. Graded Response Models
    Fumiko Samejima
  7. Partial Credit Model
    Geoff N. Masters
  8. Generalized Partial Credit Model
    Eiji Muraki and Mari Muraki
  9. Sequential Models for Ordered Responses
    Gerhard Tutz
  10. Models for Continuous Responses
    Gideon J. Mellenbergh
Section Ⅲ  Multidimensional and Multicomponent Models
  11. Normal-Ogive Multidimensional Models
    Hariharan Swaminathan and H. Jane Rogers
  12. Logistic Multidimensional Models
    Mark D. Reckase
  13. Linear Logistic Models
    Rianne Janssen
  14. Multicomponent Models
    Susan E. Embretson
Section Ⅳ Models for Response Times
  15. Poisson and Gamma Models for Reading Speed and Error
    Margo G. H. Jansen
  16. Lognormal Response-Time Model
    Wire J. van der Linden
  17. Diffusion-Based Response-Time Models
    Francis Tuerlinckx, Dylan Molenaar, and Han L. J. van der Maas
Section Ⅴ  Nonparametric Models
  18. Mokken Models
    Klaas Sijtsma and Ivo W. Molenaar
  19. Bayesian Nonparametric Response Models
    George Karabatsos
  20. Functional Approaches to Modeling Response Data
    James O. Ramsay
Section Ⅵ  Models for Nonmonotone Items

  21. Hyperbolic Cosine Model for Unfolding Responses
    David Andrich
  22. Generalized Graded Unfolding Model
    James S. Roberts
Section Ⅶ  Hierarchical Response Models
  23. Logistic Mixture-Distribution Response Models
    Matthias yon Davier and fiirgen Rost
  24. Multilevel Response Models with Covariates and Multiple Groups
    Jean-Paul Fox and Cees A. W. Glas
  25. Two-Tier Item Factor Analysis Modeling
    Li Cai
  26. Item-Family Models
    Cees A. W. Glas, Wim J. van der Linden, and Hanneke Geerlings
  27. Hierarchical Rater Models
    Jodi M. Casabianca, Brian IV. Junker, and Richard J. Patz
  28. Randomized Response Models for Sensitive Measurements
    Jean-Paul Fox
  29. Joint Hierarchical Modeling of Responses and Response Times
    Wire J. van der Linden and Jean-Paul Fox
Section Ⅷ  Generalized Modeling Approaches
  30. Generalized Linear Latent and Mixed Modeling
    Sophia Rabe-Hesketh and Anders Skrondal
  31. Multidimensional, Multilevel, and Multi-Timepoint Item Response
    Modeling
    Bengt Muthen and Tihomir Asparouhov
  32. Mixed-Coefficients Multinomial Logit Models
    Raymond J. Adams, Mark R. Wilson, and Margaret L. Wu
  33. Explanatory Response Models
    Paul De Boeck and Mark R. Wilson
Index
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