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SNSequate (version 1.3-4)

Standard and Nonstandard Statistical Models and Methods for Test Equating

Description

Contains functions to perform various models and methods for test equating. It currently implements the traditional mean, linear and equipercentile equating methods. Both IRT observed-score and true-score equating are also supported, 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, Epanechnikov, uniform and adaptive 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 differences 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

1,090

Version

1.3-4

License

GPL (>= 2)

Maintainer

Last Published

December 20th, 2022

Functions in SNSequate (1.3-4)

PREp

Percent relative error
Math20SG

Bivariate score frequencies on two 20-items mathematics tests.
irt.link

IRT parameter linking methods
gof

Functions to assess model fitting.
SEPA

A sample of observed score values for two different forms of the SEPA test.
irt.eq

IRT methods for Test Equating
ker.eq

The Kernel method of test equating
le.eq

Local equating methods
SEED

Standard error of equating difference
eqp.eq

The equipercentile method of equating
bandwidth

Automatic selection of the bandwidth parameter h
SNSequate-package

Standard and Nonstandard Statistical Models and Methods for Test Equating
sim_unimodal

Simulate test scores.
mea.eq

The mean method of equating
rowBlockSum

Take a matrix and sum blocks of rows
loglin.smooth

Pre-smoothing using log-linear models.
lin.eq

The linear method of equating
BNP.eq.predict

Prediction step for Bayesian non-parametric model for test equating
KB36.1PL

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

Observed (raw) score values for two different tests
Math20EG

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

Bayesian non-parametric model for test equating
KB36

Data on two 36-items test forms
KB36_t

Data on two 36-items test forms
ACTmKB

Scores on two 40-items ACT mathematics test forms