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SNSequate: Standard and Nonstandard Statistical Models and Methods for Test Equating | González | Journal of Statistical Software
Authors: Jorge González
Title: SNSequate: Standard and Nonstandard Statistical Models and Methods for Test Equating
Abstract: Equating is a family of statistical models and methods that are used to adjust scores on two or more versions of a test, so that the scores from different tests may be used interchangeably. In this paper we present the R package SNSequate which implements both standard and nonstandard statistical models and methods for test equating. The package construction was motivated by the need of having a modular, simple, yet comprehensive, and general software that carries out traditional and new equating methods. SNSequate currently implements the traditional mean, linear and equipercentile equating methods, as well as the mean-mean, mean-sigma, Haebara and Stocking-Lord item response theory linking methods. It also supports the newest methods such as local equating, kernel equating, and item response theory parameter linking methods based on asymmetric item characteristic functions. Practical examples are given to illustrate the capabilities of the software. A list of other programs for equating is presented, highlighting the main differences between them. Future directions for the package are also discussed.

Page views:: 1884. Submitted: 2014-06-10. Published: 2014-09-12.
Paper: SNSequate: Standard and Nonstandard Statistical Models and Methods for Test Equating     Download PDF (Downloads: 2259)
Supplements:
SNSequate_1.1-1.tar.gz: R source package Download (Downloads: 155; 60KB)
v59i07.R: R example code from the paper Download (Downloads: 170; 9KB)

DOI: 10.18637/jss.v059.i07

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Paper: Creative Commons Attribution 3.0 Unported License
Code: GNU General Public License (at least one of version 2 or version 3) or a GPL-compatible license.