Bayesian multilevel multidimensional item response modeling approach for multiple latent variables in a hierarchical structure
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Publication:6049854
DOI10.1080/03610918.2021.1919707OpenAlexW3163947212MaRDI QIDQ6049854
Jing Lu, Jian Tao, Xin Xu, Jiwei Zhang
Publication date: 18 September 2023
Published in: Communications in Statistics - Simulation and Computation (Search for Journal in Brave)
Full work available at URL: https://doi.org/10.1080/03610918.2021.1919707
Cites Work
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- Multidimensional item reponse theory.
- A hierarchical multi-unidimensional IRT approach for analyzing sparse, multi-group data for integrative data analysis
- Finite mixture multilevel multidimensional ordinal IRT models for large scale cross-cultural research
- Bayesian item response modeling. Theory and applications.
- A multivariate multilevel approach to the modeling of accuracy and speed of test takers
- Multicomponent latent trait models for ability tests
- Normal ogive model on the continuous response levelin the multidimensional latent space
- Estimating the dimension of a model
- Inference from iterative simulation using multiple sequences
- Loglinear multidimensional IRT models for polytomously scored items
- A Bayesian random effects model for testlets
- Bayesian estimation of a multilevel IRT model using Gibbs sampling
- MCMC estimation and some model-fit analysis of multidimensional IRT models
- A hierarchical framework for modeling speed and accuracy on test items
- Stochastic Relaxation, Gibbs Distributions, and the Bayesian Restoration of Images
- The Calculation of Posterior Distributions by Data Augmentation
- Multilevel multidimensional item response model with a multilevel latent covariate
- Bayesian Measures of Model Complexity and Fit
- Deviance information criteria for missing data models