Stability and variability of personality networks. A tutorial on recent developments in network psychometrics
Stability and variability of personality networks. A tutorial on recent developments in network psychometrics
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DOI：
10.1016/j.paid.2017.06.011
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发表时间：
2019-01-01
影响因子：
4.3
通讯作者：
Perugini, Marco
中科院分区：
文献类型：
--
作者：
Costantini, Giulio;Richetin, Juliette;Perugini, Marco
网络最近被提议用于对多种心理现象（如人格和精神病理学）的动态进行建模。在这项工作中，我们引入了一些技术，这些技术能够区分主体间网络（它对涉及稳定个体差异的动态进行编码）和主体内网络（它对涉及某些个体特征的瞬时水平的动态进行编码）。此外，我们展示了如何使用一种称为融合图套索（Fused Graphical Lasso）的技术在不同的个体组中同时估计网络。这种技术还允许在组之间进行有意义的比较。讨论了每种网络的独特性质。介绍了在“R”统计软件中实现这些技术的教程以及一个应用实例。（C）2017爱思唯尔有限公司。保留所有权利。
Networks have been recently proposed for modeling dynamics in several kinds of psychological phenomena, such as personality and psychopathology. In this work, we introduce techniques that allow disentangling between -subject networks, which encode dynamics that involve stable individual differences, from within-subject networks, which encode dynamics that involve momentary levels of certain individual characteristics. Furthermore, we show how networks can be simultaneously estimated in separate groups of individuals, using a technique called the Fused Graphical Lasso. This technique allows also performing meaningful comparisons among groups. The unique properties of each kind of network are discussed. A tutorial to implement these techniques in the "R" statistical software is presented, together with an example of application. (C) 2017 Elsevier Ltd. All rights reserved.