CBdata

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.

datasets

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.	

Jorge Burgos

SNSequate

Standard and Nonstandard Statistical Models and Methods for Test
        Equating

CBdata function

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).

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

Description

Usage

Arguments

format

References

Examples