Contains functions to perform various models and methods for test equating. It currently implements the traditional mean, linear and equipercentile equating methods, as well as the mean-mean, mean-sigma, Haebara and Stocking-Lord IRT linking methods. It also supports newest methods such that local equating, kernel equating (using Gaussian, logistic and uniform kernels) with presmoothing, and IRT parameter linking methods based on asymmetric item characteristic functions. Functions to obtain both standard error of equating (SEE) and standard error of equating difference between two equating functions (SEED) are also implemented for the kernel method of equating.
|Author||Jorge Gonzalez Burgos [cre, aut], Daniel Acu<c3><b1>a Leon [ctb]|
|Date of publication||2015-11-13 08:55:45|
|Maintainer||Jorge Gonzalez Burgos <email@example.com>|
|License||GPL (>= 2)|
ACTmKB: Scores on two 40-items ACT mathematics test forms
bandwidth: Automatic selection of the bandwidth parameter 'h'
CBdata: Observed (raw) score values for two different tests
eqp.eq: The equipercentile method of equating
fitmeasures: Functions to assess model fitting.
irt.link: IRT parameter linking methods
KB36: Data on two 36-items test forms
KB36.1PL: Difficulty parameter estimates for KB36 data under a 1PL...
ker.eq: The Kernel method of test equating
le.eq: Local equating methods
lin.eq: The linear method of equating
loglin.smooth: Pre-smoothing using log-linear models.
Math20EG: Scores on two 20-items mathematics tests.
Math20SG: Bivariate score frequencies on two 20-items mathematics...
mea.eq: The mean method of equating
PREp: Percent relative error
SEED: Standard error of equating difference
SNSequate-package: Standard and Nonstandard Statistical Models and Methods for...