irteQ: Linking and Equating Methods in Unidimensional Item Response Theory

IRT-based methods are used to estimate IRT linking coefficients and to perform IRT equating under the common item non-equivalent group design. For the IRT linking procedure, the Mean/Mean, Mean/Sigma, Haebara, and Stocking-Lord methods are available. For IRT test score equating, the true score equating and observed score equating methods are available. This package supports both dichotomous IRT models (1PL, 2PL and 3PL) and polytomous IRT models (graded response model, partial credit model, and generalized partial credit model). In addition to IRT linking and equating capabilities, there are several useful functions such as importing item and/or ability parameters from IRT software, generating simulated data, estimating the standard error of equating due to the random selection of common items, computing the conditional distribution of observed scores using the Lord-Wingersky recursion formula, computing item and test information functions, computing item and test characteristic curve functions, and plotting item and test characteristic curves and item and test information functions as well as scatter plots.

Version: 1.0.0
Depends: R (≥ 3.4)
Imports: stats, statmod, utils, reshape2, dplyr, tidyr, purrr, ggplot2, ggrepel, rlang
Suggests: mirt
Published: 2018-11-19
Author: Hwanggyu Lim [aut, cre], Francis O'Donnell [ctb], Craig S. Wells [ctb]
Maintainer: Hwanggyu Lim <hglim83 at>
License: GPL-2 | GPL-3 [expanded from: GPL (≥ 2)]
NeedsCompilation: no
Materials: README NEWS
CRAN checks: irteQ results


Reference manual: irteQ.pdf
Package source: irteQ_1.0.0.tar.gz
Windows binaries: r-devel:, r-release:, r-oldrel:
OS X binaries: r-release: irteQ_1.0.0.tgz, r-oldrel: irteQ_1.0.0.tgz


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