4.4 Article

Psychopathological networks: Theory, methods and practice

Journal

BEHAVIOUR RESEARCH AND THERAPY
Volume 149, Issue -, Pages -

Publisher

PERGAMON-ELSEVIER SCIENCE LTD
DOI: 10.1016/j.brat.2021.104011

Keywords

Psychological networks; Time series models; Clinical theory; Clinical methodology; Psychometrics

Funding

  1. Netherlands Organization for Scientific Research Veni Grant [NWO-Veni 191G.037]
  2. German Research Foundation (DFG) [LU 660-10/1]

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Network approaches to psychopathology have had a significant impact on how mental disorders are perceived in clinical psychology. This article brings together different perspectives from methodologists and clinicians to provide a critical overview of the challenges in integrating theory, empirical research, and clinical practice. The focus is on methodological issues related to temporal networks, including selecting and assessing network nodes, distinguishing between-and within-person effects, relating items measured at different time scales, and managing changes in network structures.
In recent years, network approaches to psychopathology have sparked much debate and have had a significant impact on how mental disorders are perceived in the field of clinical psychology. However, there are many important challenges in moving from theory to empirical research and clinical practice and vice versa. Therefore, in this article, we bring together different points of view on psychological networks by methodologists and clinicians to give a critical overview on these challenges, and to present an agenda for addressing these challenges. In contrast to previous reviews, we especially focus on methodological issues related to temporal networks. This includes topics such as selecting and assessing the quality of the nodes in the network, distinguishing between-and within-person effects in networks, relating items that are measured at different time scales, and dealing with changes in network structures. These issues are not only important for researchers using network models on empirical data, but also for clinicians, who are increasingly likely to encounter (person-specific) networks in the consulting room.

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