Authors
Date (dd-mm-yyyy)
2017
Title
Estimating psychopathological networks: be careful what you wish for
Journal
PLoS One
Volume
12
Publication Year
2017
Issue number
6
Document type
Article
Faculty
Faculty of Social and Behavioural Sciences (FMG)
Institute
Psychology Research Institute (PsyRes)
Abstract
Network models, in which psychopathological disorders are conceptualized as a complex interplay of psychological and biological components, have become increasingly popular in the recent psychopathological literature (Borsboom, et. al., 2011). These network models often contain significant numbers of unknown parameters, yet the sample sizes available in psychological research are limited. As such, general assumptions about the true network are introduced to reduce the number of free parameters. Incorporating these assumptions, however, means that the resulting network will lead to reflect the particular structure assumed by the estimation method—a crucial and often ignored aspect of psychopathological networks. For example, observing a sparse structure and simultaneously assuming a sparse structure does not imply that the true model is, in fact, sparse. To illustrate this point, we discuss recent literature and show the effect of the assumption of sparsity in three simulation studies.
URL
go to publisher's site
Permalink
https://hdl.handle.net/11245.1/52adea59-bbb0-488f-ba6a-f597254c76e0