Published by the Foundation for Open Access Statistics
Editors-in-chief: Bettina Grün, Torsten Hothorn, Edzer Pebesma, Achim Zeileis    ISSN 1548-7660; CODEN JSSOBK
qgraph: Network Visualizations of Relationships in Psychometric Data | Epskamp | Journal of Statistical Software
Authors: Sacha Epskamp, Angélique O.J. Cramer, Lourens J. Waldorp, Verena D. Schmittmann, Denny Borsboom
Title: qgraph: Network Visualizations of Relationships in Psychometric Data
Abstract: We present the qgraph package for R, which provides an interface to visualize data through network modeling techniques. For instance, a correlation matrix can be represented as a network in which each variable is a node and each correlation an edge; by varying the width of the edges according to the magnitude of the correlation, the structure of the correlation matrix can be visualized. A wide variety of matrices that are used in statistics can be represented in this fashion, for example matrices that contain (implied) covariances, factor loadings, regression parameters and p values. qgraph can also be used as a psychometric tool, as it performs exploratory and confirmatory factor analysis, using sem and lavaan; the output of these packages is automatically visualized in qgraph, which may aid the interpretation of results. In this article, we introduce qgraph by applying the package functions to data from the NEO-PI-R, a widely used personality questionnaire.

Page views:: 12246. Submitted: 2011-06-16. Published: 2012-05-24.
Paper: qgraph: Network Visualizations of Relationships in Psychometric Data     Download PDF (Downloads: 13516)
qgraph_1.0.5.tar.gz: R source package Download (Downloads: 866; 134KB)
v48i04.R: R example code from the paper Download (Downloads: 1000; 3KB)

DOI: 10.18637/jss.v048.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.