Data Analytic Methods for Latent Partially Ordered Classification Models
From MaRDI portal
Publication:3435719
DOI10.1111/1467-9876.00272zbMath1111.62381OpenAlexW1988464687MaRDI QIDQ3435719
Publication date: 7 May 2007
Published in: Journal of the Royal Statistical Society Series C: Applied Statistics (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1111/1467-9876.00272
Related Items (35)
The development of computerized adaptive testing with cognitive diagnosis for an English achievement test in China ⋮ Inferring the number of attributes for the exploratory DINA model ⋮ Using penalized EM algorithm to infer learning trajectories in latent transition CDM ⋮ An upgrading procedure for adaptive assessment of knowledge ⋮ Analysis of multiple partially ordered responses to belief items with don't know option ⋮ Bayesian estimation of the DINA \(Q\) matrix ⋮ Identifying Latent Structures in Restricted Latent Class Models ⋮ A Gibbs sampling algorithm that estimates the \(Q\)-matrix for the DINA model ⋮ On the assessment of learning in competence based knowledge space theory ⋮ Regularized latent class analysis with application in cognitive diagnosis ⋮ Complete Q‐matrices in conjunctive models on general attribute structures ⋮ A sparse latent class model for cognitive diagnosis ⋮ Online calibration methods for the DINA model with independent attributes in CD-CAT ⋮ Scalable Bayesian approach for the DINA Q-matrix estimation combining stochastic optimization and variational inference ⋮ On the link between cognitive diagnostic models and knowledge space theory ⋮ Theory of self-learning \(Q\)-matrix ⋮ A constrained Metropolis-Hastings Robbins-Monro algorithm for \(\boldsymbol{Q}\) matrix estimation in DINA models ⋮ Cognitive diagnostic computerized adaptive testing for polytomously scored items ⋮ The use and misuse of psychometric models ⋮ Assessing parameter invariance in the BLIM: bipartition models ⋮ Partial-mastery cognitive diagnosis models ⋮ A procedure for assessing the completeness of the Q-matrices of cognitively diagnostic tests ⋮ The generalized DINA model framework ⋮ Higher-order latent trait models for cognitive diagnosis ⋮ Computerized adaptive testing under nonparametric IRT models ⋮ An optimal strategy for sequential classification on partially ordered sets ⋮ Sequential Classification on Partially Ordered Sets ⋮ Model evaluation and multiple strategies in cognitive diagnosis: an analysis of fraction subtraction data ⋮ A rate function approach to computerized adaptive testing for cognitive diagnosis ⋮ Using an iterative reallocation partitioning algorithm to verify test multidimensionality ⋮ Hypothesis testing of the \(Q\)-matrix ⋮ Advances in CD-CAT: the general nonparametric item selection method ⋮ Estimating the cognitive diagnosis \(Q\) matrix with expert knowledge: application to the fraction-subtraction dataset ⋮ When cognitive diagnosis meets computerized adaptive testing: CD-CAT ⋮ Cluster analysis for cognitive diagnosis: theory and applications
Cites Work
This page was built for publication: Data Analytic Methods for Latent Partially Ordered Classification Models
