Jeff Wasbes on Causal Loop Diagrams
I am Jeff Wasbes, a Senior Researcher and Project manager with Research Works, Inc., an independent evaluation consulting firm.
A simple and functionally useful tool for diagramming systems is the Causal Loop Diagram (CLD). CLDs have been applied in nearly every conceivable discipline because by just using some very basic elements, one can describe the interactions within very complex systems. They are particularly useful for conveying a hypothesis about the causes of the dynamics within a system, eliciting or capturing the mental models of an individual or a group, and for communicating the important endogenous feedback structures might be responsible for a problem.
Hot Tip: What are CLDs good for? Structure dictates behavior. If a change in behavior is desired, then a change in structure is required. CLDs help to explicate what you, your colleagues and other stakeholders understand about the structure and interactions that occur within a system.
Hot Tip: It is often easy to identify the observable and objective “hard” variables, but CLDs usually also include “soft” variables (we might also call them latent factors) that may lurk beneath the surface, often going undetected or unmeasured. Maybe it’s not possible to measure them, but they still may play an important role in the dynamic behavior of a system. Soft variables might be things like perceptions, attitudes, or beliefs.
Hot Tip: Links between variables in a CLD show causality, not correlation. Every causal link has a polarity, which is unambiguous. Link polarity works like this:
These interactions can be traced around feedback loops like those included in the following CLD:
Each feedback loop has a polarity characteristic. To reveal the polarity of a loop, “break” the loop at any chosen point and follow the interactions around the path. Note the direction o fthe resulting resulting change when you arrive at the selected break point.
Want to learn more?
Rad Resource: Sterman, John D. (2000). Business Dynamics: Systems Thinking and Modeling for a Complex World. Boston: McGraw Hill. This book is a tome, but it provides a comprehensive overview of system dynamics and contains great detail about causal loop diagrams. Most of the information for this post is attributable to Dr. Sterman.
Rad Resource: Richardson, George P. (1986). Problems with Causal Loop Diagrams. System Dynamics Review , 158-170. Dr. Richardson provides some important cautions about potential misuse of this qualitative tool.
This contribution is from the aea365 Tip-a-Day Alerts, by and for evaluators, from the American Evaluation Association. Please consider contributing – send a note of interest to firstname.lastname@example.org. Want to learn more from Jef? He’ll be presenting as part of the Evaluation 2011 Conference Program, November 2-5 in Anaheim, California.