Bayesian longitudinal item response modeling with multivariate asymmetric serial dependencies

DOI10.1080/00949655.2021.1965604OpenAlexW3194653875WikidataQ114101194 ScholiaQ114101194MaRDI QIDQ3390463

Jean-Paul Fox, José Roberto Silva dos Santos, Caio Lucidius Naberezny Azevedo

Publication date: 24 March 2022

Published in: Journal of Statistical Computation and Simulation (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1080/00949655.2021.1965604

zbMATH Keywords

Bayesian inferenceMCMC algorithmsCholesky decompositionantedependence modelslongitudinal IRT

Mathematics Subject Classification ID

Statistics (62-XX)

Uses Software

• R
• sn

Cites Work

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• An autoregressive growth model for longitudinal item analysis
• A composite likelihood inference in latent variable models for ordinal longitudinal responses
• Bayesian inference for a skew-normal IRT model under the centred parameterization
• Item response theory for longitudinal data: population parameter estimation
• Bayesian inference for the skewness parameter of the scalar skew-normal distribution
• Estimating latent correlations between repeated testings
• A multidimensional latent trait model for measuring learning and change
• Multidimensional multiple group IRT models with skew normal latent trait distributions
• A Bayesian generalized multiple group IRT model with model-fit assessment tools
• Item response theory for longitudinal data: item and population ability parameters estimation
• MCMC estimation and some model-fit analysis of multidimensional IRT models
• Bayesian longitudinal item response modeling with restricted covariance pattern structures
• Unbalanced Repeated-Measures Models with Structured Covariance Matrices
• Statistical Applications of the Multivariate Skew Normal Distribution
• DATA AUGMENTATION AND DYNAMIC LINEAR MODELS
• On Gibbs sampling for state space models
• Problems of inference for Azzalini's skewnormal distribution
• Dynamic Latent Trait Models for Multidimensional Longitudinal Data
• Modeling Nonstationary Longitudinal Data
• Item Response Theory
• Parameter recovery for a skew-normal IRT model under a Bayesian approach: hierarchical framework, prior and kernel sensitivity and sample size
• Joint mean-covariance models with applications to longitudinal data: unconstrained parameterisation
• A multiple group item response theory model with centered skew-normal latent trait distributions under a Bayesian framework

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