Maximum marginal likelihood estimation of a monotonic polynomial generalized partial credit model with applications to multiple group analysis

DOI10.1007/s11336-014-9428-7zbMath1345.62146OpenAlexW1999387197WikidataQ35748798 ScholiaQ35748798MaRDI QIDQ316766

Carl F. Falk, Li Cai

Publication date: 27 September 2016

Published in: Psychometrika (Search for Journal in Brave)

Full work available at URL: http://europepmc.org/articles/pmc4469620

zbMATH Keywords

item response theorysemi-parametric modelsitem response functionmonotonic polynomial

Mathematics Subject Classification ID

Applications of statistics to psychology (62P15)

Related Items (3)

A test to distinguish monotone homogeneity from monotone multifactor models ⋮ Differential item functioning analysis without a priori information on anchor items: QQ plots and graphical test ⋮ Metric transformations and the filtered monotonic polynomial item response model

Uses Software

• R
• mokken
• TESTGRAF
• KernSmoothIRT

Cites Work

• Unnamed Item
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• A two-tier full-information item factor analysis model with applications
• A filtered polynomial approach to density estimation
• Estimating latent distributions
• A Bayesian semiparametric item response model with Dirichlet process priors
• A taxonomy of item response models
• Kernel smoothing approaches to nonparametric item characteristic curve estimation
• A method of estimating item characteristic functions using the maximum likelihood estimate of ability
• Item response theory with estimation of the latent population distribution using spline-based densities
• Item Response Theory
• Nonparametric Bayesian modelling for item response

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