Math20SG

<p>The data set contains the bivariate sample frequencies of number-right scores 
for two parallel 20-items mathematics tests given to a sample from a national population of 
examinees. This data has been described and analized by Holland and Thayer (1989); 
Von Davier et al, (2004).</p>

datasets

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.

Jorge Gonzalez

SNSequate

Standard and Nonstandard Statistical Models and Methods for Test
Equating

Daniel Leon Acuna

Math20SG function

<p>A 21x21 matrix containing the bivariate sample frequencies for \(X\) (raws) and \(Y\) 
(columns)</p>

Math20SG: Bivariate score frequencies on two 20-items mathematics tests.

Description

Usage

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References

Examples