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The Generalized DINA Model Framework

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  • Jimmy de la Torre

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Abstract

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Suggested Citation

  • Jimmy de la Torre, 2011. "The Generalized DINA Model Framework," Psychometrika, Springer;The Psychometric Society, vol. 76(2), pages 179-199, April.
  • Handle: RePEc:spr:psycho:v:76:y:2011:i:2:p:179-199
    DOI: 10.1007/s11336-011-9207-7
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    File URL: http://hdl.handle.net/10.1007/s11336-011-9207-7
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    References listed on IDEAS

    as
    1. Curtis Tatsuoka, 2005. "Corrigendum: Data analytic methods for latent partially ordered classification models," Journal of the Royal Statistical Society Series C, Royal Statistical Society, vol. 54(2), pages 465-467.
    2. Jimmy Torre & Jeffrey Douglas, 2004. "Higher-order latent trait models for cognitive diagnosis," Psychometrika, Springer;The Psychometric Society, vol. 69(3), pages 333-353, September.
    3. Jimmy de la Torre & Jeffrey Douglas, 2008. "Model Evaluation and Multiple Strategies in Cognitive Diagnosis: An Analysis of Fraction Subtraction Data," Psychometrika, Springer;The Psychometric Society, vol. 73(4), pages 595-624, December.
    4. E. Maris, 1999. "Estimating multiple classification latent class models," Psychometrika, Springer;The Psychometric Society, vol. 64(2), pages 187-212, June.
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    Citations

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    Cited by:

    1. Jonathan Templin & Laine Bradshaw, 2014. "Hierarchical Diagnostic Classification Models: A Family of Models for Estimating and Testing Attribute Hierarchies," Psychometrika, Springer;The Psychometric Society, vol. 79(2), pages 317-339, April.
    2. Jimmy Torre & Chia-Yi Chiu, 2016. "A General Method of Empirical Q-matrix Validation," Psychometrika, Springer;The Psychometric Society, vol. 81(2), pages 253-273, June.
    3. Hans-Friedrich Köhn & Chia-Yi Chiu, 2017. "A Procedure for Assessing the Completeness of the Q-Matrices of Cognitively Diagnostic Tests," Psychometrika, Springer;The Psychometric Society, vol. 82(1), pages 112-132, March.
    4. Laine Bradshaw & Jonathan Templin, 2014. "Combining Item Response Theory and Diagnostic Classification Models: A Psychometric Model for Scaling Ability and Diagnosing Misconceptions," Psychometrika, Springer;The Psychometric Society, vol. 79(3), pages 403-425, July.
    5. Shiyu Wang & Jeff Douglas, 2015. "Consistency of Nonparametric Classification in Cognitive Diagnosis," Psychometrika, Springer;The Psychometric Society, vol. 80(1), pages 85-100, March.
    6. Jürgen Heller & Luca Stefanutti & Pasquale Anselmi & Egidio Robusto, 2015. "On the Link between Cognitive Diagnostic Models and Knowledge Space Theory," Psychometrika, Springer;The Psychometric Society, vol. 80(4), pages 995-1019, December.
    7. Chia-Yi Chiu & Hans-Friedrich Köhn & Yi Zheng & Robert Henson, 2016. "Joint Maximum Likelihood Estimation for Diagnostic Classification Models," Psychometrika, Springer;The Psychometric Society, vol. 81(4), pages 1069-1092, December.
    8. Chia-Yi Chiu & Hans-Friedrich Köhn, 2016. "The Reduced RUM as a Logit Model: Parameterization and Constraints," Psychometrika, Springer;The Psychometric Society, vol. 81(2), pages 350-370, June.
    9. Gongjun Xu & Stephanie Zhang, 2016. "Identifiability of Diagnostic Classification Models," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 625-649, September.
    10. repec:spr:psycho:v:82:y:2017:i:3:d:10.1007_s11336-016-9545-6 is not listed on IDEAS
    11. Chia-Yi Chiu & Hans-Friedrich Köhn, 2016. "Consistency of Cluster Analysis for Cognitive Diagnosis: The Reduced Reparameterized Unified Model and the General Diagnostic Model," Psychometrika, Springer;The Psychometric Society, vol. 81(3), pages 585-610, September.

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