Causal loop diagrams
A brief introduction
© 2014, Johns Hopkins University. All rights reserved.
Overview of systems thinking analytical
tools
© 2014, Johns Hopkins University. All rights reserved.
Example of applying systems thinking
approach
“Overview of system d...
© 2014, Johns Hopkins University. All rights reserved.
What are causal loop diagrams and why
are they useful?
• System dyn...
© 2014, Johns Hopkins University. All rights reserved.
What are causal loop diagrams and why
are they useful?
• Emphasis o...
© 2014, Johns Hopkins University. All rights reserved.
Paina et al (under review) Dual practice
policy in Uganda
© 2014, Johns Hopkins University. All rights reserved.
Rwashana et al (2008) Immunization System
CLD
© 2014, Johns Hopkins University. All rights reserved.
Causal loop diagram components
• Causality: AB
• Changes in B are ...
© 2014, Johns Hopkins University. All rights reserved.
Causal loop diagram components
• Feedback loops – a change in the s...
© 2014, Johns Hopkins University. All rights reserved.
Causal loop diagram components
• Delays
• The effect that A has on ...
© 2014, Johns Hopkins University. All rights reserved.
Developing a causal loop diagram
• Qualitative and quantitative dat...
© 2014, Johns Hopkins University. All rights reserved.
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A 101 (or 100.5) on Systems Approaches to Capacity Building for Community Health _Ligia Paina_5.8.14

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  • Learning and management tools – not a focus of this presentation
  • How to read a CLD
  • Reinforcing if all polarities in the loop are the sameBalancing if not all polarities in the loop are the same
  • A 101 (or 100.5) on Systems Approaches to Capacity Building for Community Health _Ligia Paina_5.8.14

    1. 1. Causal loop diagrams A brief introduction
    2. 2. © 2014, Johns Hopkins University. All rights reserved. Overview of systems thinking analytical tools
    3. 3. © 2014, Johns Hopkins University. All rights reserved. Example of applying systems thinking approach “Overview of system dynamics modeling approach”, from: Martinez and Richardson (2013)
    4. 4. © 2014, Johns Hopkins University. All rights reserved. What are causal loop diagrams and why are they useful? • System dynamics method used to develop a qualitative conceptualization of a system • Focus on visualizing internal, mental models • Facilitates consensus-building and brainstorming • Can help bring together perspectives and data from different disciplines • Complements “traditional” data collection and analysis
    5. 5. © 2014, Johns Hopkins University. All rights reserved. What are causal loop diagrams and why are they useful? • Emphasis on causality and feedback effects • Causal loop diagrams indicate the sign and direction of the causality and the type of feedback in the system • Communication – NOT simulation • Whether modeling is appropriate depends on the question you are trying to solve
    6. 6. © 2014, Johns Hopkins University. All rights reserved. Paina et al (under review) Dual practice policy in Uganda
    7. 7. © 2014, Johns Hopkins University. All rights reserved. Rwashana et al (2008) Immunization System CLD
    8. 8. © 2014, Johns Hopkins University. All rights reserved. Causal loop diagram components • Causality: AB • Changes in B are caused by changes in A • Polarity: + or – • If A and B change in the same direction (either both increase or both decrease), then polarity is + • If A and B change in opposite directions, then polarity is –
    9. 9. © 2014, Johns Hopkins University. All rights reserved. Causal loop diagram components • Feedback loops – a change in the system catalyzes a cascade through other variables to either reinforce or balance the initial change. • Reinforcing feedback loop (vicious or virtuous) – amplifying effect • Balancing feedback loops – dampening effect
    10. 10. © 2014, Johns Hopkins University. All rights reserved. Causal loop diagram components • Delays • The effect that A has on B is delayed (||) • Balancing loops are often self-regulating, experience delays
    11. 11. © 2014, Johns Hopkins University. All rights reserved. Developing a causal loop diagram • Qualitative and quantitative data collected using rigorous methods • Iterative process for identification of key variables and causal linkages • E.g. Rwashana’s dynamic systems methodology • Stage 1 – Problem statement • Stage 2 – Field studies • Stage 3 – Model building ***This is where CLDs come in*** • Stage 4 – Case study • Stage 5&6 – Simulations and Policy analysis • Participatory modeling and diagram development • Group model building • E.g. Peter Hovmand’s work (for example (2012) Hovmand - Group Model-Building ‘Scripts’ as a Collaborative Planning Tool)
    12. 12. © 2014, Johns Hopkins University. All rights reserved. Thank you
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