KB36

<p>The data set contains both response patterns and item parameters estimates following a 3PL model 
for two 36-items tests forms. Form <code>X</code> was administered to 1655 examinees and form <code>Y</code> 
to 1638 examinees. Also, 12 out of the 36 items are common between both test forms (items 3, 6, 9, 
12, 15, 18, 21, 24, 27, 30, 33, 36). This data has been described and analized by Kolen and Brennan (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

KB36 function

<p>A list with four elements containing binary data matrices of responses (<code>KBformX</code> and 
<code>KBformY</code>) and the corresponding parameter estimates which result from a 3PL fit to both data
matrices (<code>KBformX_par</code> and <code>KBformY_par</code>).</p>

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KB36: Data on two 36-items test forms

Description

Usage

Arguments

Format

References

Examples