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| Kognitive Diagnostikmodelle (DINA / G-DINA)× | Formale Begriffsanalyse (FBA)× | |
|---|---|---|
| Fachgebiet≠ | Psychometrie | Soft Computing |
| Familie≠ | Latent structure | Machine learning |
| Entstehungsjahr≠ | 2011 | 1982 |
| Urheber≠ | Jimmy de la Torre | Rudolf Wille & Bernhard Ganter |
| Typ≠ | Latent variable diagnostic classification model | Lattice-based knowledge representation / concept mining |
| Wegweisende Quelle≠ | de la Torre, J. (2011). The generalized DINA model framework. Psychometrika, 76(2), 179–199. DOI ↗ | Wille, R. (1982). Restructuring lattice theory: an approach based on hierarchies of concepts. In I. Rival (Ed.), Ordered Sets (pp. 445–470). Reidel. DOI ↗ |
| Aliasnamen | Diagnostic Classification Model, Skills Assessment Model, Attribute Mastery Model, Bilişsel Tanı Modeli | FCA, concept lattice analysis, Galois lattice, biçimsel kavram analizi |
| Verwandt≠ | 2 | 3 |
| Zusammenfassung≠ | Cognitive Diagnosis Models (CDMs) are a family of latent variable models designed to classify examinees according to their mastery of a set of discrete cognitive attributes or skills. The Generalized DINA (G-DINA) framework, introduced by Jimmy de la Torre in 2011, provides a unifying structure that encompasses many specific CDMs — including the DINA, DINO, ACDM, and LLM models — as special cases, enabling fine-grained diagnostic feedback beyond a single total score. | Formal concept analysis derives a hierarchy of concepts from a simple table of which objects have which attributes. Founded by Rudolf Wille in 1982 on lattice theory, it pairs each set of objects with the attributes they all share to form 'formal concepts', then organizes these into a concept lattice — a mathematically grounded, interpretable hierarchy used for knowledge discovery, ontology building, and explainable analysis of categorical data. |
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