logo
ResearchBunny Logo
Triangulation for causal loop diagrams: constructing biopsychosocial models using group model building, literature review, and causal discovery

Medicine and Health

Triangulation for causal loop diagrams: constructing biopsychosocial models using group model building, literature review, and causal discovery

J. F. Uleman, M. Luijten, et al.

Discover a novel triangulation approach to constructing causal loop diagrams that enhances transparency around evidence uncertainty, developed by researchers including Jeroen F. Uleman and Maartje Luijten. This innovative methodology is showcased through a case study on depressive symptoms in response to stressors, ultimately advancing our understanding of complex diseases.

00:00
00:00
Playback language: English
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

Related Publications

Explore these studies to deepen your understanding of the subject.

Building machine learning prediction models for well-being using predictors from the exposome and genome in a population cohort
Psychology

Building machine learning prediction models for well-being using predictors from the exposome and genome in a population cohort

D. H. M. Pelt, P. C. Habets, et al.

Mindfulness Initiatives for Students, Teachers, and Parents: a Review of Literature and Implications for Practice During COVID-19 and Beyond
Psychology

Mindfulness Initiatives for Students, Teachers, and Parents: a Review of Literature and Implications for Practice During COVID-19 and Beyond

A. Garro, M. Janal, et al.

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets
Medicine and Health

Design and Analysis of a Deep Learning Ensemble Framework Model for the Detection of COVID-19 and Pneumonia Using Large-Scale CT Scan and X-ray Image Datasets

X. Xue, S. Chinnaperumal, et al.

Preferences for and intention to use an app for premenstrual mental health symptoms using the Health Behaviour Model (HBM)
Medicine and Health

Preferences for and intention to use an app for premenstrual mental health symptoms using the Health Behaviour Model (HBM)

E. L. Funnell, N. A. Martin-key, et al.

Listen, Learn & Level Up
Over 10,000 hours of research content in 25+ fields, available in 12+ languages.
No more digging through PDFs, just hit play and absorb the world's latest research in your language, on your time.
listen to research audio papers with researchbunny