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Original Articles

Using Diagnostic Classification Models to Validate Attribute Hierarchies and Evaluate Model Fit in Bayesian Networks

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Yanlou Liu, Tao Xin & Yu Jiang. (2022) Structural Parameter Standard Error Estimation Method in Diagnostic Classification Models: Estimation and Application. Multivariate Behavioral Research 57:5, pages 784-803.
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Articles from other publishers (8)

Tae Yeon Kwon, A. Corinne Huggins‐Manley, Jonathan Templin & Mingying Zheng. (2024) Modeling Hierarchical Attribute Structures in Diagnostic Classification Models with Multiple Attempts. Journal of Educational Measurement.
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Zhehan Jiang, Wenchao Ma, Kate Flory, Dan Zhang, Wenjing Zhou, Dexin Shi, Xiaochen Hua & Ren Liu. (2022) Development of a computerized adaptive testing for ADHD using Bayesian networks: An attempt at classification. Current Psychology 42:22, pages 19230-19240.
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Alfonso J. Martinez & Jonathan Templin. (2023) Approximate Invariance Testing in Diagnostic Classification Models in the Presence of Attribute Hierarchies: A Bayesian Network Approach. Psych 5:3, pages 688-714.
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Xi Yang. (2023) Research on the Application of Neural Network Classification Model in English Grammar Error Correction. ACM Transactions on Asian and Low-Resource Language Information Processing.
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Rae Yeong Kim & Yun Joo Yoo. (2022) Cognitive Diagnostic Multistage Testing by Partitioning Hierarchically Structured Attributes. Journal of Educational Measurement 60:1, pages 126-147.
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Yanlou LIU. (2022) Standard errors and confidence intervals for cognitive diagnostic models: Parallel bootstrap methods. Acta Psychologica Sinica 54:6, pages 703-724.
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Kazuhiro Yamaguchi & Jonathan Templin. (2021) A Gibbs Sampling Algorithm with Monotonicity Constraints for Diagnostic Classification Models. Journal of Classification 39:1, pages 24-54.
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Ling Ling Wang, Tao Xin & Liu Yanlou. (2021) An Improved Parameter-Estimating Method in Bayesian Networks Applied for Cognitive Diagnosis Assessment. Frontiers in Psychology 12.
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