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Kullback–Leibler Information and Its Applications in Multi-Dimensional Adaptive Testing

  • Chun Wang


  • Hua-Hua Chang
  • Keith Boughton
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    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 76 (2011)
    Issue (Month): 1 (January)
    Pages: 13-39

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    Handle: RePEc:spr:psycho:v:76:y:2011:i:1:p:13-39
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    1. Daniel Segall, 1996. "Multidimensional adaptive testing," Psychometrika, Springer, vol. 61(2), pages 331-354, June.
    2. Hua-Hua Chang, 1996. "The asymptotic posterior normality of the latent trait for polytomous IRT models," Psychometrika, Springer, vol. 61(3), pages 445-463, September.
    3. Hua-Hua Chang & William Stout, 1993. "The asymptotic posterior normality of the latent trait in an IRT model," Psychometrika, Springer, vol. 58(1), pages 37-52, March.
    4. Daniel Segall, 2001. "General ability measurement: An application of multidimensional item response theory," Psychometrika, Springer, vol. 66(1), pages 79-97, March.
    5. Bernard Veldkamp & Wim Linden, 2002. "Multidimensional adaptive testing with constraints on test content," Psychometrika, Springer, vol. 67(4), pages 575-588, December.
    6. Hua-Hua Chang & Jinming Zhang, 2002. "Hypergeometric family and item overlap rates in computerized adaptive testing," Psychometrika, Springer, vol. 67(3), pages 387-398, September.
    7. Joris Mulder & Wim Linden, 2009. "Multidimensional Adaptive Testing with Optimal Design Criteria for Item Selection," Psychometrika, Springer, vol. 74(2), pages 273-296, June.
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