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Abstract
This paper proposes a triangulation approach for constructing causal loop diagrams (CLDs) by integrating group model building (GMB), literature review, and causal discovery. Using a case study on depressive symptoms in response to stressors, the authors demonstrate that triangulation leads to more comprehensive CLDs, modified feedback structures, and increased transparency regarding evidence uncertainty. This approach enhances the quality of CLDs, advancing our understanding of complex diseases.
Publisher
npj Complexity
Published On
Nov 05, 2024
Authors
Jeroen F. Uleman, Maartje Luijten, Wilson F. Abdo, Jana Vyrastekova, Andreas Gerhardus, Jakob Runge, Naja Hulvej Rod, Maaike Verhagen
Tags
causal loop diagrams
triangulation
group model building
feedback structures
evidence uncertainty
depressive symptoms
stressors

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