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SNSequate (version 1.3.1)

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, 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.

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Version

Install

install.packages('SNSequate')

Monthly Downloads

1,090

Version

1.3.1

License

GPL (>= 2)

Maintainer

Last Published

September 10th, 2017

Functions in SNSequate (1.3.1)

KB36_t

Data on two 36-items test forms
Math20EG

Scores on two 20-items mathematics tests.
ACTmKB

Scores on two 40-items ACT mathematics test forms
BNP.eq

Bayesian non-parametric model for test equating
eqp.eq

The equipercentile method of equating
gof

Functions to assess model fitting.
irt.eq

IRT methods for Test Equating
irt.link

IRT parameter linking methods
Math20SG

Bivariate score frequencies on two 20-items mathematics tests.
PREp

Percent relative error
SEED

Standard error of equating difference
SNSequate-package

Standard and Nonstandard Statistical Models and Methods for Test Equating
KB36.1PL

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

Data on two 36-items test forms
bandwidth

Automatic selection of the bandwidth parameter h
BNP.eq.predict

Prediction step for Bayesian non-parametric model for test equating
CBdata

Observed (raw) score values for two different tests
ker.eq

The Kernel method of test equating
le.eq

Local equating methods
rowBlockSum

Take a matrix and sum blocks of rows
sim_unimodal

Simulate different unimodal distributions.
mea.eq

The mean method of equating
pasted_table_to_df

Transform a table from String to Data Frame.
lin.eq

The linear method of equating
loglin.smooth

Pre-smoothing using log-linear models.
contaminate_sample

Contaminate a sample on different quantile based cutpoints