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Cited by 147Mental Health Research TopicsPsychometric Methodologies and TestingAnxiety, Depression, Psychometrics, Treatment, Cognitive Processes

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Investigating the feasibility of idiographic network models.

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Mansueto, Alessandra C., Wiers, Reinout W., van Weert, Julia C. M., Schouten, Barbara C., Epskamp, Sacha·2023·Psychological Methods
DOI 10.1037/met0000466
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Abstract

Recent times have seen a call for personalized psychotherapy and tailored communication during treatment, leading to the necessity to model the complex dynamics of mental disorders in a single subject. To this aim, time-series data in one patient can be collected through ecological momentary assessment and analyzed with the graphical vector autoregressive model, estimating temporal and contemporaneous idiographic networks. Idiographic networks graph interindividual processes that may be potentially used to tailor psychotherapy and provide personalized feedback to clients and are regarded as a promising tool for clinical practice. However, the question whether we can reliably estimate them in clinical settings remains unanswered. We conducted a large-scale simulation study in the context of psychopathology, testing the performance of personalized networks with different numbers of time points, percentages of missing data, and estimation methods. Results indicate that sensitivity is low with sample sizes feasible for clinical practice (75 and 100 time points). It seems possible to retrieve the global network structure but not to recover the full network. Estimating temporal networks appears particularly challenging; thus, with 75 and 100 observations, it is advisable to reduce the number of nodes to around six variables. With regard to missing data, full information maximum likelihood and the Kalman filter are effective in addressing random item-level missing data; consequently, planned missingness is a valid method to deal with missing data. We discuss possible methodological and clinical solutions to the challenges raised in this work. (PsycInfo Database Record (c) 2023 APA, all rights reserved).

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Metadata

Authors
Mansueto, A. C., Wiers, R. W., van Weert, J. C. M., Schouten, B. C., & Epskamp, S.
Affiliations
University of Amsterdam (NL)
ORCID
Venue
Psychological Methods
Publisher
American Psychological Association (APA)
Published
2023-10
Volume
28
Issue
5
Pages
1052-1068
ISSN
  • 1082-989X (ISSN-L)
  • 1939-1463
DOI
10.1037/met0000466
OpenAlex
W4225594736
Cited by
147
References
0
Citations by year
2026: 32 · 2025: 32 · 2024: 27 · 2023: 24
FWCI
23.93
Type
journal article
Language
en
Open access
Licence
cc-by
Locations
  • Psychological Methods (publishedVersion)
  • PubMed (publishedVersion)
  • UvA-DARE (University of Amsterdam) (submittedVersion, other-oa)
  • PsyArXiv (OSF Preprints) (submittedVersion)
  • PsyArXiv (OSF Preprints) (submittedVersion, cc-by)
Funders
University of Amsterdam
Topics
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Mental Health Research Topics
  • Social Sciences › Decision Sciences › Management Science and Operations Research › Psychometric Methodologies and Testing
  • Social Sciences › Psychology › Experimental and Cognitive Psychology › Anxiety, Depression, Psychometrics, Treatment, Cognitive Processes
Keywords
personalized psychotherapy, ecological momentary assessment, sample size, missing data, Kalman filter, full information maximum likelihood, dynamic networks, psychopathology, simulation study

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