An estimation method for latent traits and population parameters in nominal response model

DOI10.1214/09-BJPS102zbMath1298.62197OpenAlexW1980348958MaRDI QIDQ467894

Dalton F. Andrade, Caio Lucidius Naberezny Azevedo

Publication date: 5 November 2014

Published in: Brazilian Journal of Probability and Statistics (Search for Journal in Brave)

Full work available at URL: https://projecteuclid.org/euclid.bjps/1280754493

Mathematics Subject Classification ID

Computational methods in Markov chains (60J22) Monte Carlo methods (65C05) Applications of statistics to psychology (62P15)

Related Items (5)

Bayesian longitudinal item response modeling with restricted covariance pattern structures ⋮ Multidimensional multiple group IRT models with skew normal latent trait distributions ⋮ A Bayesian generalized multiple group IRT model with model-fit assessment tools ⋮ A multiple group item response theory model with centered skew-normal latent trait distributions under a Bayesian framework ⋮ Parameter recovery for a skew-normal IRT model under a Bayesian approach: hierarchical framework, prior and kernel sensitivity and sample size

Uses Software

• WinBUGS
• BayesDA

Cites Work

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• Item response theory for longitudinal data: population parameter estimation
• Noninformative priors for one-parameter item response models
• Estimating item parameters and latent ability when responses are scored in two or more nominal categories
• Item Response Theory
• Prior distributions for variance parameters in hierarchical models (Comment on article by Browne and Draper)

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