Published by the Foundation for Open Access Statistics Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Authors: Jonathan P. Weeks
Title: plink: An R Package for Linking Mixed-Format Tests Using IRT-Based Methods
Abstract: The R package plink has been developed to facilitate the linking of mixed-format tests for multiple groups under a common item design using unidimensional and multidimensional IRT-based methods. This paper presents the capabilities of the package in the context of the unidimensional methods. The package supports nine unidimensional item response models (the Rasch model, 1PL, 2PL, 3PL, graded response model, partial credit and generalized partial credit model, nominal response model, and multiple-choice model) and four separate calibration linking methods (mean/sigma, mean/mean, Haebara, and Stocking-Lord). It also includes functions for importing item and/or ability parameters from common IRT software, conducting IRT true-score and observed-score equating, and plotting item response curves and parameter comparison plots.

Page views:: 8551. Submitted: 2009-09-30. Published: 2010-07-26.
Paper: plink: An R Package for Linking Mixed-Format Tests Using IRT-Based Methods     Download PDF (Downloads: 8882)
plink_1.2-4.tar.gz: R source package Download (Downloads: 816; 624KB)
v35i12.R: R example code from the paper Download (Downloads: 839; 10KB)

DOI: 10.18637/jss.v035.i12

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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.