ArticleFrontiers in psychology2025
Validating attribute hierarchies in cognitive diagnosis models.
Article in Frontiers in psychology, 2025. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 1 paper.
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1 citing paper in PubMed.
- Fine-Grained Intelligent Learning Diagnosis Model Based on the Exercise-Knowledge-Cognition Tensor for Educational Assessment.Behavioral sciences (Basel, Switzerland) · 2026Article
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4 authors.
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Abstract
Cognitive diagnosis models (CDMs) are restricted latent class models that are widely used in educational and psychological fields. Attribute hierarchy, as an important structural feature of the CDM, can provide critical information for inferring examinees' attribute mastery patterns. Previous studies usually formulate likelihood ratio (LR) tests for full models and hierarchical models to validate attribute hierarchies, but their asymptotic distributions tend to become non-standard, resulting in test failures. This study proposes the Wald statistic to statistically test the
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