qgraph: Network Visualizations of Relationships in Psychometric Data
qgraph: Network Visualizations of Relationships in Psychometric Data
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DOI：
10.18637/jss.v048.i04
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发表时间：
2012-05-01
影响因子：
5.8
通讯作者：
Borsboom, Denny
中科院分区：
文献类型：
--
作者：
Epskamp, Sacha;Cramer, Angelique O. J.;Borsboom, Denny
我们为R提供了qgraph包，它提供了一个通过网络建模技术可视化数据的接口。例如，相关矩阵可以表示为网络，其中每个变量是节点，每个相关性是边;通过根据相关性的大小改变边的宽度，可以可视化相关矩阵的结构。在统计学中使用的各种各样的矩阵都可以用这种方式表示，例如包含（隐含）协方差，因子载荷，回归参数和p值的矩阵。qgraph也可用作心理测量工具，因为它使用sem和lavaan进行探索性和验证性因素分析;这些软件包的输出在qgraph中自动可视化，这可能有助于解释结果。在本文中，我们通过将包函数应用于NEO-PI-R（一种广泛使用的个性问卷）的数据来介绍qgraph。
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.