What is Design-Based Causal Inference and Why Should I Use It?
Download
This brief aims to broaden knowledge of design-based methods by describing their key concepts and how they compare to model-based methods. Rudiments of the design-based approach are presented using simple mathematical notation, and the intuition underlying the theory is discussed for designs where individuals or groups are randomized. The brief explains in simple terms the advantages of the design-based approach relative to commonly-used model-based approaches, such as hierarchical linear modeling (HLM).
How do you apply evidence?
Take our quick four-question survey to help us curate evidence and insights that serve you.
Take our survey