Design-based approach to causal inference¶

Theory · All theories
Evidence · no claims cited

Description¶

The brief presents the design-based approach to causal inference, describing "their key concepts and how they compare to model-based methods." It presents "rudiments of the design-based approach... using simple mathematical notation" and discusses "the intuition underlying the theory" for randomized designs. The approach serves education researchers evaluating interventions where individuals or groups are randomized.

Design Implications¶

Context¶

Requirements¶

• Designs where individuals or groups are randomized, as the intuition of the approach is discussed for such designs

Constraints¶

Target Learners¶

• Education researchers and analysts conducting impact evaluations

Target Learning Objectives¶

• Understanding key concepts of design-based causal inference and how it compares to model-based methods

Claims¶

Related Theories¶

Examples¶

• Use design-based methods for causal inference in randomized studies of individuals or groups

Key Sources¶

• Peter Z. Schochet. (2017). What is Design-Based Causal Inference and Why Should I Use It?. Washington, DC: U.S. Department of Education, Institute of Education Sciences, National Center for Education Evaluation and Regional Assistance. https://ies.ed.gov/ncee