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Computerized adaptive testing under nonparametric IRT models

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  • Xueli Xu
  • Jeff Douglas

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  • Xueli Xu & Jeff Douglas, 2006. "Computerized adaptive testing under nonparametric IRT models," Psychometrika, Springer;The Psychometric Society, vol. 71(1), pages 121-137, March.
    • Handle: RePEc:spr:psycho:v:71:y:2006:i:1:p:121-137
    DOI: 10.1007/s11336-003-1154-5
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    References listed on IDEAS

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    1. J. Ramsay & S. Winsberg, 1991. "Maximum marginal likelihood estimation for semiparametric item analysis," Psychometrika, Springer;The Psychometric Society, vol. 56(3), pages 365-379, September.
    2. Curtis Tatsuoka, 2002. "Data analytic methods for latent partially ordered classification models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 51(3), pages 337-350, July.
    3. Jeff Douglas, 1997. "Joint consistency of nonparametric item characteristic curve and ability estimation," Psychometrika, Springer;The Psychometric Society, vol. 62(1), pages 7-28, March.
    4. D. Grayson, 1988. "Two-group classification in latent trait theory: Scores with monotone likelihood ratio," Psychometrika, Springer;The Psychometric Society, vol. 53(3), pages 383-392, September.
    5. J. Ramsay, 1991. "Kernel smoothing approaches to nonparametric item characteristic curve estimation," Psychometrika, Springer;The Psychometric Society, vol. 56(4), pages 611-630, December.
    6. Hua-Hua Chang & William Stout, 1993. "The asymptotic posterior normality of the latent trait in an IRT model," Psychometrika, Springer;The Psychometric Society, vol. 58(1), pages 37-52, March.
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    Citations

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    Cited by:

    1. Ying Cheng, 2009. "When Cognitive Diagnosis Meets Computerized Adaptive Testing: CD-CAT," Psychometrika, Springer;The Psychometric Society, vol. 74(4), pages 619-632, December.
    2. Hong-Yun Liu & Xiao-Feng You & Wen-Yi Wang & Shu-Liang Ding & Hua-Hua Chang, 2013. "The Development of Computerized Adaptive Testing with Cognitive Diagnosis for an English Achievement Test in China," Journal of Classification, Springer;The Classification Society, vol. 30(2), pages 152-172, July.
    3. Karl Sigfrid, 2024. "IRT for voting advice applications: a multi-dimensional test that is adaptive and interpretable," Quality & Quantity: International Journal of Methodology, Springer, vol. 58(5), pages 4137-4156, October.

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