Why and when rigorous social impact evaluation is needed
Common pitfalls of evaluation designs and why randomization helps
Key components of a well-designed randomized evaluation
Alternative techniques for incorporating randomization into project design
How to measure outcomes, manage data and determine the appropriate sample size
How to guard against threats that may undermine the integrity of results
Techniques for analyzing and interpreting results
Learn why evaluations matter and how they can be used to rigorously measure the social impact of development programs. This practical course will provide a thorough understanding of randomized evaluations, with pragmatic step-by-step training for conducting one’s own evaluation. Through a combination of lectures and case studies from real randomized evaluations, the course will focus on the benefits and methods of randomization, choosing an appropriate sample size, and common threats and pitfalls to the validity of an experiment. While the coursecenters uponthe why, how, and when of randomized evaluations, it will also impart insights onthe importance ofneeds assessments,effectivelymeasuring outcomes, quality control, and the monitoring methods most useful forimpact evaluations.
This social impact course is designed for people from a variety of backgrounds: managers and researchers from international development organizations, foundations, governments, and non-governmental organizations from around the world, as well as trained economists looking to retool.
Although not required, prior familiarity with basic statistical concepts is recommended.