sabirt: Shiny App for Bayesian Item Response Theory (SABIRT)
In bairt: Bayesian Analysis of Item Response Theory Models
Description
Usage
Author(s)
References
Description
A web interactive application intended for the making of an MCMC (Markov
Chain Monte Carlo Methods) estimation and model-fit of the item response
models designed by Johnson and Albert (2pno, 1999) and Glas and Beguim
(3pno, 2001). The outcome are the items parameters (difficulties and
discrimination for 2pno, and additionally the chance to guess the right
answers for 3pno) and also the latent abilities of each examinee.
Usage
1
sabirt()
Author(s)
Javier Mart<c3><ad>nez and Irene Garcia Mosquera
References
Beguin, A, A. & Glas, C.A.W. (2001). MCMC Estimation and Some Model-Fit
Analysis of Multidimensional IRT Models. Psychometrika, 66, 541-562.
Harwell, M. R, & Baker, F. B. (1991). The use of Prior Distributions in
Marginalized Bayesian Item Parameter Estimation: A Didactic. Psychometrika,
15, 375-389.
Johnson, V. E. & Albert, J. H. (1999). Ordinal Data Modeling.
New York: Springer.
bairt documentation built on May 1, 2019, 10:56 p.m.
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Description Usage Author(s) References
Description
A web interactive application intended for the making of an MCMC (Markov Chain Monte Carlo Methods) estimation and model-fit of the item response models designed by Johnson and Albert (2pno, 1999) and Glas and Beguim (3pno, 2001). The outcome are the items parameters (difficulties and discrimination for 2pno, and additionally the chance to guess the right answers for 3pno) and also the latent abilities of each examinee.
Usage
1 | sabirt()
|
Author(s)
Javier Mart<c3><ad>nez and Irene Garcia Mosquera
References
Beguin, A, A. & Glas, C.A.W. (2001). MCMC Estimation and Some Model-Fit Analysis of Multidimensional IRT Models. Psychometrika, 66, 541-562.
Harwell, M. R, & Baker, F. B. (1991). The use of Prior Distributions in Marginalized Bayesian Item Parameter Estimation: A Didactic. Psychometrika, 15, 375-389.
Johnson, V. E. & Albert, J. H. (1999). Ordinal Data Modeling. New York: Springer.
R Package Documentation
Browse R Packages
We want your feedback!
Note that we can't provide technical support on individual packages. You should contact the package authors for that.
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