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Study Aerospace Engineering at MIT

Free Online Course on Evaluating Social Programs at MIT

Fully Funded
Country: USA
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Details

Understand how randomized evaluations can be used to evaluate social and development programs.

About this course

  • 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 August 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
  • 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

Specifications

Type of Opportunity Exchange Programs
DeadlineOngoing
CountryUSA
Open toAll Nationalities
OrganizerMIT

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