Modeling dichotomous item responses with free-knot splines

DOI10.1016/j.csda.2006.04.021zbMath1162.62444OpenAlexW2056540971MaRDI QIDQ1020072

Matthew S. Johnson

Publication date: 29 May 2009

Published in: Computational Statistics and Data Analysis (Search for Journal in Brave)

Full work available at URL: https://doi.org/10.1016/j.csda.2006.04.021

zbMATH Keywords

item response theoryMarkov chain Monte Carlopsychometricsreversible-jumpb-spline functionsrepeated dichotomous measures

Mathematics Subject Classification ID

Nonparametric regression and quantile regression (62G08) Applications of statistics to psychology (62P15)

Related Items (3)

Nonparametric adaptive Bayesian regression using priors with tractable normalizing constants and under qualitative assumptions ⋮ Missing data imputation of questionnaires by means of genetic algorithms with different fitness functions ⋮ Bayesian estimation and inference for generalised partial linear models using shape-restricted splines

Uses Software

• fda (R)

Cites Work

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• Reversible jump Markov chain Monte Carlo computation and Bayesian model determination
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• A practical guide to splines
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• A new proof for monotone likelihood ratio for the sum of independent Bernoulli random variables
• Two-group classification in latent trait theory: Scores with monotone likelihood ratio
• Bayesian curve-fitting with free-knot splines
• Automatic Bayesian Curve Fitting
• Adaptive Rejection Metropolis Sampling within Gibbs Sampling
• Bayesian Measures of Model Complexity and Fit
• A survey of theory and methods of invariant item ordering
• Spatially Adaptive Regression Splines and Accurate Knot Selection Schemes
• Bayes Factors
• Equation of State Calculations by Fast Computing Machines
• Monte Carlo sampling methods using Markov chains and their applications
• Deviance information criteria for missing data models

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