This course will present the conceptual underpinnings of treatment effect estimation under random assignment and complement those underpinnings with a discussion of frequently encountered challenges in the context of social experimentation. Design, sampling, and analysis issues under random assignment will be addressed followed by a brief introduction to propensity score methods as a quasi-experimental option when random assignment is not feasible.

The event will be led by Kirsten Kainz, PhD. Much of Kainz’s work focuses on identifying impacts of education interventions as well as understanding the systemic nature of intervention in education and human services.

Presenter
Kirsten Kainz, PhD, Research Fellow
Frank Porter Graham Child Development Institute

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