CBdata

<p>The data set is from a small field study from an international testing program. 
It contains the observed scores for two tests \(X\) (with 75 items) and \(Y\) (with 76 items) 
administered to two independent, random samples of examinees from a single population \(P\). 
For more details, see Chapter 9 in Von Davier et al, (2004) from where the data were obtained.</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

CBdata function

<p>A list with elements containing the observed scores of the sample taking test X first,
followed by test Y (datX1Y2), and the scores of the sample taking test Y first followed by 
test X (datX2Y1).</p>

CBdata: Observed (raw) score values for two different tests

Description

Usage

Arguments

Format

References

Examples