Non-identifiability, equivalence classes, and attribute-specific classification in Q-matrix based Cognitive Diagnosis Models

There has been growing interest in recent years in Q-matrix based cognitive diagnosis models. Parameter estimation and respondent classification under these models may suffer due to identifiability issues. Non-identifiability can be described by a partition separating attribute profiles into groups...

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Veröffentlicht in:	arXiv.org 2013-03
Hauptverfasser:	Zhang, Stephanie S, DeCarlo, Lawrence T, Ying, Zhiliang
Format:	Artikel
Sprache:	eng
Schlagworte:	Classification Diagnosis Equivalence Maximum likelihood estimation Parameter estimation Quality assessment
Online-Zugang:	Volltext
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