How Duolingo Plans to Reach 100M Users

Class Central is learner-supported. When you buy through links on our site, we may earn an affiliate commission.

Massachusetts Institute of Technology

Evaluating Social Programs

Massachusetts Institute of Technology via MITx Online

Go to class Write review
DataCamp Ad

PowerBI Data Analyst - Create visualizations and dashboards from scratch

Learn More → Coursera Ad

Google, IBM & Microsoft Certificates — All in One Plan

Learn More →

Overview

Google, IBM & Meta Certificates — All 10,000+ Courses at 40% Off
One annual plan covers every course and certificate on Coursera. 40% off for a limited time.
Get Full Access
Randomized evaluations can be valuable tools for measuring the impact of social programs. Learn why and when to use them, and how their findings can inform the design of evidence-based policies and programs.

Syllabus

  • How to identify opportunities for impact evaluation
  • How to develop a theory of change and measure outcomes
  • Key components of a well-designed randomized evaluation
  • How to determine an appropriate sample size to reliably estimate impact
  • Common threats and pitfalls to the validity of experiments
  • How to assess generalizability and use research findings to inform policy

Taught by

Rachel Glennerster, Iqbal Dhaliwal, and Benjamin Olken

Tags

Reviews

Start your review of Evaluating Social Programs

Go to class

Never Stop Learning.

Get personalized course recommendations, track subjects and courses with reminders, and more.

Sign up for free
Someone learning on their laptop while sitting on the floor.