Parameter recovery for a skew-normal IRT model under a Bayesian approach: hierarchical framework, prior and kernel sensitivity and sample size

DOI10.1080/00949655.2011.591798zbMath1431.62523OpenAlexW2003328088MaRDI QIDQ4925445

Heleno Bolfarine, Caio Lucidius Naberezny Azevedo, Dalton F. Andrade

Publication date: 12 June 2013

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

Full work available at URL: https://doi.org/10.1080/00949655.2011.591798

zbMATH Keywords

item response theoryBayesian inferenceskew-normal distributionMCMC algorithms

Mathematics Subject Classification ID

Computational methods for problems pertaining to statistics (62-08) Bayesian inference (62F15) Applications of statistics to psychology (62P15)

Related Items (6)

Bayesian longitudinal item response modeling with restricted covariance pattern structures ⋮ Multidimensional multiple group IRT models with skew normal latent trait distributions ⋮ Bayesian estimation of multidimensional polytomous item response theory models with Q-matrices using Stan ⋮ A multiple group item response theory model with centered skew-normal latent trait distributions under a Bayesian framework ⋮ CADEM: a conditional augmented data EM algorithm for fitting one parameter probit models ⋮ Bayesian longitudinal item response modeling with multivariate asymmetric serial dependencies

Cites Work

• Bayesian inference for a skew-normal IRT model under the centred parameterization
• An estimation method for latent traits and population parameters in nominal response model
• The centred parametrization for the multivariate skew-normal distribution
• A note on reference priors for the scalar skew-normal distribution
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