Title 6.6. Simplifying Causal Diagram.pdf ✅

pacmann.io © 2022 – Pacmann AI 77 Simplifying Causal Diagram
pacmann.io © 2022 – Pacmann AI 78 Importance of Simplifying Diagram ● The real world and the underlying data generating process are inherently complex. ● The more complex a diagram, the more challenging it is to derive a causal relationship. ● Simplifying helps focus on the research question ● Ignoring parts of the complex real world is necessary for learning ● Less information can sometimes provide more valuable insights.
pacmann.io © 2022 – Pacmann AI 79 Importance of Simplifying Diagram ● Less information can sometimes provide more valuable insights. ● Illustration: the map of KRL commuter line is definitely not how the route look like in reality. ● But it provides us with a clear and specific guidance on how to use the train network in Jabodetabek.
pacmann.io © 2022 – Pacmann AI 80 Checking simplification ● Placebo tests can help identify if simplification went too far (we’ll discuss it later) ● Ensure simplified diagram aligns with known correlations