How to rethink your programs' goals and reassess how you gather, evaluate, and use data to determine their effectiveness.
Methods for analyzing administrative data to identify potential points for intervention to improve long-term goals
Tools to measure the effectiveness of your program as well as strategies for generating short- and longer-term assessments of the impact of your programs on participants
Tactics for integrating qualitative and quantitative data to assess a program's effectiveness
A deeper understanding of how to make decisions about the best way to spend your limited research budget
A framework for thinking about various types of evidence—from benchmarking and performance measurement to impact evaluation—and their relationship to one another
In dynamic sessions, you will explore a framework for thinking about a range of evidence types and delve deeply into specific evidence generating strategies – experimental and quasi-experimental designs, implementation evaluation, predictive analytics – taking time to understand the strengths and limitations of each. You will work together as a group to pull these ideas together in the context of real-world limitations such as budgets, a lack of time, and political constraints.
