Identifiability of diagnostic classification models

DOI10.1007/s11336-015-9471-zzbMath1345.62166OpenAlexW856700409WikidataQ40757685 ScholiaQ40757685MaRDI QIDQ316714

Gongjun Xu, Stephanie Zhang

Publication date: 27 September 2016

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1007/s11336-015-9471-z

zbMATH Keywords

DINA modeldiagnostic classification modelsmodel identifiability\(Q\)-matrix

Mathematics Subject Classification ID

Classification and discrimination; cluster analysis (statistical aspects) (62H30) Diagnostics, and linear inference and regression (62J20) Applications of statistics to psychology (62P15)

Related Items (24)

Inferring the number of attributes for the exploratory DINA model ⋮ Relationship validation among items and attributes ⋮ A Gibbs sampling algorithm with monotonicity constraints for diagnostic classification models ⋮ Bayesian estimation of the DINA \(Q\) matrix ⋮ Detecting and explaining BLIM's unidentifiability: forward and backward parameter transformation groups ⋮ An empirical Q-matrix validation method for the polytomous G-DINA model ⋮ Unnamed Item ⋮ Sufficient and Necessary Conditions for the Identifiability of the $Q$-matrix ⋮ Identifying Latent Structures in Restricted Latent Class Models ⋮ Identifiability of Bifactor Models ⋮ A necessary and sufficient condition for unique skill assessment ⋮ Identifiability of Hierarchical Latent Attribute Models ⋮ Data‐driven Q‐matrix learning based on Boolean matrix factorization in cognitive diagnostic assessment ⋮ Generic identifiability of the DINA model and blessing of latent dependence ⋮ Learning latent and hierarchical structures in cognitive diagnosis models ⋮ Scalable Bayesian approach for the DINA Q-matrix estimation combining stochastic optimization and variational inference ⋮ A classification model for continuous responses: Identifying risk perception groups on health‐related activities ⋮ Partial identifiability of restricted latent class models ⋮ Partial-mastery cognitive diagnosis models ⋮ How to build a complete Q-matrix for a cognitively diagnostic test ⋮ Structured Latent Factor Analysis for Large-scale Data: Identifiability, Estimability, and Their Implications ⋮ On the identifiability of diagnostic classification models ⋮ The sufficient and necessary condition for the identifiability and estimability of the DINA Model ⋮ Identifiability of latent class models with covariates

Uses Software

• LLTM

Cites Work

• Unnamed Item
• Identification of the 1PL model with guessing parameter: parametric and semi-parametric results
• Equivalent linear logistic test models
• The generalized DINA model framework
• Efficient estimation and local identification in latent class analysis
• Defining a family of cognitive diagnosis models using log-linear models with latent variables
• Cluster analysis for cognitive diagnosis: theory and applications
• Consistency and identifiability
• Consistency and identifiability revisited
• Higher-order latent trait models for cognitive diagnosis
• Equivalent MIRID models
• Theory of self-learning \(Q\)-matrix
• On identifiability of parametric statistical models
• Exploratory latent structure analysis using both identifiable and unidentifiable models
• Statistical Analysis ofQ-Matrix Based Diagnostic Classification Models
• The Identification of Structural Characteristics

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