On the Control of Psychological Networks.
On the Control of Psychological Networks.
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DOI：
10.1007/s11336-021-09796-9
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发表时间：
2022-03
期刊：
影响因子：
3
通讯作者：
Fried, Eiko, I
中科院分区：
文献类型：
--
作者：
Henry, Teague R.;Robinaugh, Donald J.;Fried, Eiko, I
关键词：
网络理论与网络心理测量方法的结合开辟了多种概念化和研究心理障碍的新途径。心理障碍作为动态系统的想法引发了人们对基于网络分析工具结果开发干预措施的兴趣。然而，简单地估计网络模型不足以确定哪些症状可能最有效地进行干预，也不足以确定任何给定干预措施的潜在功效。在本文中，我们试图通过向心理测量学家和应用心理学家介绍控制理论的基本概念来弥补这一差距。我们在心理测量文献中引入了两种可控性统计数据，即平均可控性和模态可控性，以方便选择最佳的干预目标集。在本介绍之后，我们将展示干预科学家如何探索理论和实证干预对源自真实数据的网络的影响，并演示模拟如何解释干预成本和减少特定症状的愿望。每一步都基于来自接受复杂悲伤治疗的受试者样本的丰富临床 EMA 数据，重点关注自杀意念的结果。所有方法均在开源 R 包 netcontrol 中实现，并且可以在线获取用于复制本手稿中分析的完整代码。
The combination of network theory and network psychometric methods have opened up a variety of new ways to conceptualize and study psychological disorders. The idea of psychological disorders as dynamic systems has sparked interest in developing interventions based on results of network analytic tools. However, simply estimating a network model is not sufficient for determining which symptoms might be most effective to intervene upon, nor is it sufficient for determining the potential efficacy of any given intervention. In this paper, we attempt to remedy this gap by introducing fundamental concepts of control theory to both psychometricians and applied psychologists. We introduce two controllability statistics to the psychometric literature, average and modal controllability, to facilitate selecting the best set of intervention targets. Following this introduction, we show how intervention scientists can probe the effects of both theoretical and empirical interventions on networks derived from real data and demonstrate how simulations can account for intervention cost and the desire to reduce specific symptoms. Every step is based on rich clinical EMA data from a sample of subjects undergoing treatment for complicated grief, with a focus on the outcome suicidal ideation. All methods are implemented in an open-source R package netcontrol, and complete code for replicating the analyses in this manuscript are available online.
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影响因子：
3.7
作者：
Bringmann LF;Vissers N;Wichers M;Geschwind N;Kuppens P;Peeters F;Borsboom D;Tuerlinckx F
通讯作者：
Tuerlinckx F
影响因子：
4.4
作者：
Fried EI;van Borkulo CD;Cramer AO;Boschloo L;Schoevers RA;Borsboom D
通讯作者：
Borsboom D
影响因子：
2.6
作者：
HAMDAN, AMA;NAYFEH, AH
通讯作者：
NAYFEH, AH
影响因子：
3
作者：
Epskamp, Sacha;Rhemtulla, Mijke;Borsboom, Denny
通讯作者：
Borsboom, Denny
影响因子：
9.3
作者：
Fried, Eiko I.
通讯作者：
Fried, Eiko I.