In this section you will find a series of six lessons to help you learn and review the basics for completing an impact evaluation. Each lesson contains a series of videos, presentations, exercises and tests to go over the material.
The goal of this lesson is to provide you with the necessary elements for formulating evaluation questions. It will allow you to understand an evaluation's use, scope and limitations.
The goal of this lesson is to give you a sense of the key statistical concepts frequently used in an impact evaluation. The key concepts include interpretation of basic descriptive statistics, comparison of samples, and power calculations.
This lesson will give you a sense of how the most popular impact evaluation methods work. It begins with an introduction of the concept of causal inference. It also covers the methods of randomization, regression discontinuity, instrumental variables, differences in differences and matching.
The goal of this lesson is to teach you what information to prioritize when you collect, when to collect, and how the data influences the estimate of a program's impacts
This lesson provides you with the elements necessary to interpret the results of an evaluation.
This lesson provides you with the conceptual tools necessary to calculate effects when the real evaluation differs from what had been planned. It covers how to detect if there are changes in the original sample and changes in the original treatment allocation.