TAM-package: Test Analysis Modules
Description
Includes marginal and joint maximum likelihood
estimation of uni- and multidimensional item response models
(Rasch, 2PL, 3PL, Generalized Partial Credit, Multi Facets,
Nominal Item Response, Structured Latent Class Analysis,
Mixture Distribution IRT Models, Located Latent Class Models,
Cognitive Diagnostic Models). Latent regression models and
plausible value imputation are also supported.Details
ll{
Package: TAM
Type: Package
Version: 1.6
Publication Year: 2015
License: GPL (>=2.0)
URL: http://www.edmeasurementsurveys.com/TAM/Tutorials/
https://sites.google.com/site/alexanderrobitzsch/software/
}
See http://www.edmeasurementsurveys.com/TAM/Tutorials/ for
tutorials of the TAM package.References
Adams, R. J., Wilson, M., & Wu, M. (1997).
Multilevel item response models: An approach to errors in
variables regression. Journal of Educational and Behavioral
Statistics, 22, 47-76.
Adams, R. J., & Wu, M. L. (2007). The mixed-coefficients multinomial logit model.
A generalized form of the Rasch model. In M. von Davier & C. H. Carstensen (Eds.):
Multivariate and mixture distribution Rasch models: Extensions and applications
(pp. 55-76). New York: Springer.
Formann, A. K. (1992). Linear logistic latent class analysis for polytomous data.
Journal of the American Statistical Association, 87, 476-486.