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SNSequate (version 1.1-1)

Standard and Nonstandard Statistical Models and Methods for Test Equating

Description

The package 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), 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.

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Version

Install

install.packages('SNSequate')

Monthly Downloads

651

Version

1.1-1

License

GPL (>= 2)

Maintainer

Jorge Burgos

Last Published

August 9th, 2014

Functions in SNSequate (1.1-1)

CBdata

Observed (raw) score values for two different tests
ACTmKB

Scores on two 40-items ACT mathematics test forms
loglin.smooth

Pre-smoothing using log-linear models.
irt.link

IRT parameter linking methods
eqp.eq

The equipercentile method of equating
KB36

Data on two 36-items test forms
ker.eq

The Kernel method of test equating
Math20SG

Bivariate score frequencies on two 20-items mathematics tests.
KB36.1PL

Difficulty parameter estimates for KB36 data under a 1PL model
Math20EG

Scores on two 20-items mathematics tests.
le.eq

Local equating methods
SEED

Standard error of equating difference
bandwidth

Automatic selection of the bandwidth parameter h
SNSequate-package

Standard and Nonstandard Statistical Models and Methods for Test Equating
mea.eq

The mean method of equating
PREp

Percent relative error
lin.eq

The linear method of equating