Abstract
This article reviews the origins and use of the terms quasi-experiment and natural experiment. It demonstrates how the terms conflate whether variation in the independent variable of interest falls short of random with whether researchers find, rather than intervene to create, that variation. Using the lens of assignment—the process driving variation in the independent variable—we distinguish three dimensions: control of assignment by the researcher, rather than by a policy process or naturally occurring event; exogeneity of the assignment process; and directness of the link between assignment and the independent variable. These dimensions generate a typology of causal study designs that we illustrate with examples from the social and health sciences. Our framework can assist researchers and practitioners from diverse disciplines to better understand and communicate with one another and, importantly, to recognize opportunities in real-world settings to find or create variation that can be leveraged for valid impact estimates.
Original language | English (US) |
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Pages (from-to) | 62-89 |
Number of pages | 28 |
Journal | American Journal of Evaluation |
Volume | 46 |
Issue number | 1 |
DOIs | |
State | Published - Mar 2025 |
All Science Journal Classification (ASJC) codes
- Business and International Management
- Social Psychology
- Health(social science)
- Education
- Sociology and Political Science
- Strategy and Management
Keywords
- causal inference
- natural experiment
- quasi-experiment
- randomized controlled trial
- research design