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Using causal loop diagrams to develop evaluative research propositions: opportunities and challenges in applications to nature‐based solutions.

Using causal loop diagrams to develop evaluative research propositions: opportunities and challenges in applications to nature‐based solutions.

Authors :
Alvarado, Miriam
Garrett, Jo
Fullam, James
Lovell, Rebecca
Guell, Cornelia
Taylor, Tim
Garside, Ruth
Zandersen, Marianne
Wheeler, Benedict W.
Source :
System Dynamics Review (Wiley); Oct2024, Vol. 40 Issue 4, p1-27, 27p
Publication Year :
2024

Abstract

Causal loop diagrams (CLDs) are often used to provide an overview of important systemic elements related to an issue, rather than to inform empirical evaluations (studies which assess changes following an intervention using observed data). We suggest that empirical evaluations may benefit from the development of systems‐informed research propositions (specific testable causal assumptions with an emphasis on feedback loops) used to guide subsequent data collection, hypothesis testing and interpretation. We describe a qualitative systems‐thinking informed approach building on preexisting CLDs, published evidence, and expert/stakeholder consultation and reflect on our experience applying this to the early stages of two nature‐based solution (NBS) evaluations. We reflect on our experience and suggest that CLDs can be usefully employed to develop systems‐informed research propositions to inform subsequent empirical evaluation. This may lead to novel policy‐relevant research propositions which differ substantially from effectiveness‐oriented ("did it work?") research questions. © 2023 The Authors. System Dynamics Review published by John Wiley & Sons Ltd on behalf of System Dynamics Society. [ABSTRACT FROM AUTHOR]

Details

Language :
English
ISSN :
08837066
Volume :
40
Issue :
4
Database :
Complementary Index
Journal :
System Dynamics Review (Wiley)
Publication Type :
Academic Journal
Accession number :
181195122
Full Text :
https://doi.org/10.1002/sdr.1756