Investigating the feasibility of idiographic network models.

Mansueto, Alessandra C.; Wiers, Reinout W.; van Weert, Julia C. M.; Schouten, Barbara C.; Epskamp, Sacha

doi:10.1037/met0000466

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

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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A minimum of 75 EMA questionnaires per person is needed for a reliable network with approximately 6 nodes, based on a simulation study.
“To be included in the present analyses, participants needed to fill out a minimum of 75 EMA questionnaires, as a recent simulation study showed that with 75-100 assessments per person the network can include approximately 6 nodes for it to be reliable.27”
From Exploring the dynamic interconnectedness of protective and perpetuating factors of cancer-related fatigue (2023) · cites this paper as [27]
The Summary and Methodological Recommendations (p. 12) say six nodes are reasonable for recovering the global temporal structure with 75–100 data points. But the Simulation Results (p. 9) report low sensitivity at those sample sizes, so the paper does not establish that a six-node network as a whole is reliable with a minimum of 75 questionnaires. (LLM, conf=0.88)
Experimental — accuracy not yet measured
With an average of 88 assessments per person, the number of included nodes was limited to 7 nodes for the network to be reliable.
“Second, with an average of 88 assessments per person, the number of included nodes was limited to 7 nodes for the network to be reliable.27”
From Exploring the dynamic interconnectedness of protective and perpetuating factors of cancer-related fatigue (2023) · cites this paper as [27]
The Summary and Methodological Recommendations (pp. 11–12) advise reducing the number of nodes and say six nodes seem reasonable for recovering the global temporal structure with 75–100 data points. They do not establish a seven-node limit for 88 assessments or say that such a limit makes the full network reliable; p. 11 notes that the full network may not be recovered. (LLM, conf=0.88)
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Authors: Mansueto, A. C., Wiers, R. W., van Weert, J. C. M., Schouten, B. C., & Epskamp, S.
Affiliations: University of Amsterdam (NL)
ORCID: Mansueto, Alessandra C.
Wiers, Reinout W.
van Weert, Julia C. M.
Schouten, Barbara C.
Epskamp, Sacha
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 · 2022: 21 · 2021: 10 · 2014: 1
FWCI: 23.93
Type: journal article
Language: en
Open access: green
doi.org
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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Investigating the feasibility of idiographic network models.

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