Evaluating Social Programs
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At a Glance
Learn why randomized evaluations matter and how they can be used to rigorously measure the social impact of development programs
Free and self-paced - enroll anytime before May 14, and complete the course at your own pace
Upgrade to the Certificate Track ($99) to verify your grade in the course and gain permanent access to course materials
Organizations -- contact the J-PAL Training Team to learn how to enroll your staff as a cohort in our blended learning program
More About the Course
This 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 course centers on the why, how, and when of randomized evaluations, it will also impart insights on the importance of needs assessments, effectively measuring outcomes, quality control, and the monitoring methods most useful for impact 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.
What you'll learn
- Why and when rigorous social impact evaluation is needed
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| Rating | 5.0★ based on 1 ratings |
|---|---|
| Length | 6 weeks |
| Effort | 3 - 5 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $99 |
| From | Massachusetts Institute of Technology, MITx via edX |
| Instructors | Rachel Glennerster, Marc Shotland, Anja Sautmann, Esther Duflo |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Business Social Sciences |
| Tags | Data Analysis & Statistics Economics & Finance Social Sciences |
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| Rating | 5.0★ based on 1 ratings |
|---|---|
| Length | 6 weeks |
| Effort | 3 - 5 hours per week |
| Starts | On Demand (Start anytime) |
| Cost | $99 |
| From | Massachusetts Institute of Technology, MITx via edX |
| Instructors | Rachel Glennerster, Marc Shotland, Anja Sautmann, Esther Duflo |
| Download Videos | On all desktop and mobile devices |
| Language | English |
| Subjects | Data Science Business Social Sciences |
| Tags | Data Analysis & Statistics Economics & Finance Social Sciences |
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