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Model Evaluation and Multiple Strategies in Cognitive Diagnosis: An Analysis of Fraction Subtraction Data


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  • Jimmy de la Torre


  • Jeffrey Douglas
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    Bibliographic Info

    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 73 (2008)
    Issue (Month): 4 (December)
    Pages: 595-624

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    Handle: RePEc:spr:psycho:v:73:y:2008:i:4:p:595-624

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    Keywords: cognitive diagnosis; item response theory; latent class model; Markov chain Monte Carlo; goodness-of-fit;


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    1. E. Maris, 1999. "Estimating multiple classification latent class models," Psychometrika, Springer, vol. 64(2), pages 187-212, June.
    2. David J. Spiegelhalter & Nicola G. Best & Bradley P. Carlin & Angelika van der Linde, 2002. "Bayesian measures of model complexity and fit," Journal of the Royal Statistical Society Series B, Royal Statistical Society, vol. 64(4), pages 583-639.
    3. Susan Embretson (Whitely), 1984. "A general latent trait model for response processes," Psychometrika, Springer, vol. 49(2), pages 175-186, June.
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    Cited by:
    1. 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, vol. 30(2), pages 152-172, July.
    2. Pasquale Anselmi & Egidio Robusto & Luca Stefanutti, 2012. "Uncovering the Best Skill Multimap by Constraining the Error Probabilities of the Gain-Loss Model," Psychometrika, Springer, vol. 77(4), pages 763-781, October.
    3. Jimmy de la Torre, 2011. "The Generalized DINA Model Framework," Psychometrika, Springer, vol. 76(2), pages 179-199, April.


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