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Estimating multiple classification latent class models


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  • E. Maris
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    Bibliographic Info

    Article provided by Springer in its journal Psychometrika.

    Volume (Year): 64 (1999)
    Issue (Month): 2 (June)
    Pages: 187-212

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    Handle: RePEc:spr:psycho:v:64:y:1999:i:2:p:187-212

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    Keywords: latent class models; latent response models; cognitive processes; EM-algorithm;


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    1. Eric Maris, 1995. "Psychometric latent response models," Psychometrika, Springer, vol. 60(4), pages 523-547, December.
    2. Bengt Muthén, 1978. "Contributions to factor analysis of dichotomous variables," Psychometrika, Springer, vol. 43(4), pages 551-560, December.
    3. Susan Whitely, 1980. "Multicomponent latent trait models for ability tests," Psychometrika, Springer, vol. 45(4), pages 479-494, December.
    4. Paul Boeck & Seymour Rosenberg, 1988. "Hierarchical classes: Model and data analysis," Psychometrika, Springer, vol. 53(3), pages 361-381, September.
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    Cited by:
    1. Matthias Davier & Shelby Haberman, 2014. "Hierarchical Diagnostic Classification Models Morphing into Unidimensional ‘Diagnostic’ Classification Models—A Commentary," Psychometrika, Springer, vol. 79(2), pages 340-346, April.
    2. Elizabeth Ayers & Sophia Rabe-Hesketh & Rebecca Nugent, 2013. "Incorporating Student Covariates in Cognitive Diagnosis Models," Journal of Classification, Springer, vol. 30(2), pages 195-224, July.
    3. Jimmy Torre & Jeffrey Douglas, 2004. "Higher-order latent trait models for cognitive diagnosis," Psychometrika, Springer, vol. 69(3), pages 333-353, September.
    4. Chia-Yi Chiu & Jeffrey Douglas & Xiaodong Li, 2009. "Cluster Analysis for Cognitive Diagnosis: Theory and Applications," Psychometrika, Springer, vol. 74(4), pages 633-665, December.
    5. Rajeev Kohli & Kamel Jedidi, 2005. "Probabilistic Subset Conjunction," Psychometrika, Springer, vol. 70(4), pages 737-757, December.
    6. Jimmy de la Torre, 2011. "The Generalized DINA Model Framework," Psychometrika, Springer, vol. 76(2), pages 179-199, April.
    7. Yeojin Chung & Sophia Rabe-Hesketh & Vincent Dorie & Andrew Gelman & Jingchen Liu, 2013. "A Nondegenerate Penalized Likelihood Estimator for Variance Parameters in Multilevel Models," Psychometrika, Springer, vol. 78(4), pages 685-709, October.
    8. Chia-Yi Chiu & Jeff Douglas, 2013. "A Nonparametric Approach to Cognitive Diagnosis by Proximity to Ideal Response Patterns," Journal of Classification, Springer, vol. 30(2), pages 225-250, July.
    9. Michel Meulders & Francis Tuerlinckx & Wolf Vanpaemel, 2013. "Constrained Multilevel Latent Class Models for the Analysis of Three-Way Three-Mode Binary Data," Journal of Classification, Springer, vol. 30(3), pages 306-337, October.
    10. 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.
    11. Jonathan Templin & Laine Bradshaw, 2014. "Hierarchical Diagnostic Classification Models: A Family of Models for Estimating and Testing Attribute Hierarchies," Psychometrika, Springer, vol. 79(2), pages 317-339, April.
    12. Michel Meulders & Paul Boeck & Iven Mechelen, 2003. "A taxonomy of latent structure assumptions for probability matrix decomposition models," Psychometrika, Springer, vol. 68(1), pages 61-77, March.
    13. Jimmy de la Torre & Jeffrey Douglas, 2008. "Model Evaluation and Multiple Strategies in Cognitive Diagnosis: An Analysis of Fraction Subtraction Data," Psychometrika, Springer, vol. 73(4), pages 595-624, December.
    14. Ping Chen & Tao Xin & Chun Wang & Hua-Hua Chang, 2012. "Online Calibration Methods for the DINA Model with Independent Attributes in CD-CAT," Psychometrika, Springer, vol. 77(2), pages 201-222, April.
    15. Susan Embretson & Xiangdong Yang, 2013. "A Multicomponent Latent Trait Model for Diagnosis," Psychometrika, Springer, vol. 78(1), pages 14-36, January.
    16. Luca Stefanutti & Egidio Robusto, 2009. "Recovering a Probabilistic Knowledge Structure by Constraining its Parameter Space," Psychometrika, Springer, vol. 74(1), pages 83-96, March.


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