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Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
Fitting Diffusion Item Response Theory Models for Responses and Response Times Using the R Package diffIRT | Molenaar | Journal of Statistical Software
Authors: Dylan Molenaar, Francis Tuerlinckx, Han L. J. van der Maas
Title: Fitting Diffusion Item Response Theory Models for Responses and Response Times Using the R Package diffIRT
Abstract: In the psychometric literature, item response theory models have been proposed that explicitly take the decision process underlying the responses of subjects to psychometric test items into account. Application of these models is however hampered by the absence of general and flexible software to fit these models. In this paper, we present diffIRT, an R package that can be used to fit item response theory models that are based on a diffusion process. We discuss parameter estimation and model fit assessment, show the viability of the package in a simulation study, and illustrate the use of the package with two datasets pertaining to extraversion and mental rotation. In addition, we illustrate how the package can be used to fit the traditional diffusion model (as it has been originally developed in experimental psychology) to data.

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Paper: Fitting Diffusion Item Response Theory Models for Responses and Response Times Using the R Package diffIRT     Download PDF (Downloads: 1284)
Supplements:
diffIRT_1.5.tar.gz: R source package Download (Downloads: 62; 111KB)
v66i04.R: R example code from the paper Download (Downloads: 74; 2KB)
v66i04-simulation.zip: Replication code and data for simulation study Download (Downloads: 56; 1MB)

DOI: 10.18637/jss.v066.i04

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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.