ReviewPsychological methods2022
Modeling psychopathology: From data models to formal theories.
Review in Psychological methods, 2022. The graph could read no effect estimate from its abstract, so it casts no vote on the map. Cited by 70 papers, 4 of them syntheses that pooled it.
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Who cites it
70 citing papers in PubMed, 4 syntheses or guidelines pooled it.
- Systematic review of symptom-level networks of alcohol use disorder.Addiction (Abingdon, England) · 2025Pooled it
- A systematic review of studies using network analysis to assess dynamics of psychotic-like experiences in community samples.Psychological medicine · 2025Pooled it
- A network model of depressive and anxiety symptoms: a statistical evaluation.Molecular psychiatry · 2024Pooled it
- Cognitive factors and processes in models of insomnia: A systematic review.Journal of sleep research · 2023Pooled it
- Modeling intraindividual variability in affect (MIVA): Formalized theoretical approach, computational model, and parameter recovery study.Behavior research methods · 2026Article
- Complex dynamics in psychological data: Mapping individual symptom trajectories to group-level patterns.Behavior research methods · 2026Article
- Article
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- Analyzing multidimensional formal dynamic models in psychology: A tutorial using graphical tools.Behavior research methods · 2026Article
- Factors associated with depression among people with cancer: Systematic umbrella review.Palliative & supportive care · 2026Review
- Mapping the dynamics of idiographic network models to the network theory of psychopathology.Behavior research methods · 2026Article
- To Be FAIR: Theory Specification Needs an Update.Perspectives on psychological science : a journal of the Association for Psychological Science · 2026Article
- Quantifying the stability landscapes of psychological networks.Behavior research methods · 2026Article
- The Role of Feedback Loops in Dynamical Symptom Networks.Scientific reports · 2026Article
- Connectivity between ethical sensitivity and empathy ability of nursing students at the initial stage of internship: a bridge network analysis.Frontiers in public health · 2026Article
- From Monoamines to Systems Psychiatry: Rewiring Depression Science and Care (1960s-2025).Biomedicines · 2025Article
- Viewing social isolation as a complex dynamical system: A theoretical and computational framework.NPP - digital psychiatry and neuroscience · 2025Article
- What are the key targets to improve quality of life among MSM living with HIV on antiretroviral therapy? A network analysis.Quality of life research : an international journal of quality of life aspects of treatment, care and rehabilitation · 2025Article
- Using Mobile Assessments to Characterize Mental and Physical Health Behaviors in Youth: Protocol for a Pilot Intensive Longitudinal Study.JMIR research protocols · 2025Article
- Computational modeling of the temporal influences between cues, craving and use in addiction: a dynamical system analysis based on ecological momentary assessment data.Translational psychiatry · 2025Article
10 more citing papers are in PubMed but not listed here.
Corrections and comments
PubMed lists nothing against this paper. Absence here is not a guarantee, only a check that was made.
Authors and funding
5 authors.
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Abstract
Over the past decade, there has been a surge of empirical research investigating mental disorders as complex systems. In this article, we investigate how to best make use of this growing body of empirical research and move the field toward its fundamental aims of explaining, predicting, and controlling psychopathology. We first review the contemporary philosophy of science literature on scientific theories and argue that fully achieving the aims of explanation, prediction, and control requires that we construct formal theories of mental disorders: theories expressed in the language of mathematics or a computational programming language. We then investigate three routes by which one can use empirical findings (i.e., data models) to construct formal theories: (a) using data models themselves as formal theories, (b) using data models to infer formal theories, and (c) comparing empirical data models to theory-implied data models in order to evaluate and refine an existing formal theory. We argue that the third approach is the most promising path forward. We conclude by introducing the abductive formal theory construction (AFTC) framework, informed by both our review of philosophy of science and our methodological investigation. We argue that this approach provides a clear and promising way forward for using empirical research to inform the generation, development, and testing of formal theories both in the domain of psychopathology and in the broader field of psychological science. (PsycInfo Database Record (c) 2023 APA, all rights reserved).
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Read under generation 80e0d062 · epoch 390. Bibliography from PubMed, PubMed Central and OpenAlex; grants from NIH RePORTER; trial links from ClinicalTrials.gov; estimates, votes and beliefs from the OpenQuestion graph.