This 4-week course will help you become familiar with the application of the Data Equity Framework to Program Evaluation. We’ll look at the basic ideas and practical tools that can help you align your quantitative program evaluation projects with your equity goals. We’ll cover topics such as how to embed equity in your key evaluation questions; the choices that impact equity and social identity data collection; logic models and analysis; when and how (and how not to) use an RCT; and what it looks like to move away from deficit-based evaluation.

Please note that this course will cover large amounts of the same materials covered in the general Foundations of Data Equity workshop.

This course will focus on quantitative program evaluation tools and ideas.

“I attended your session and I just wanted to say it was absolutely fantastic. It (and you) were incredibly unique, thoughtful, relevant, and creative.” Nathalie Noel, Strategy Coach

“Thank you Heather for a fantastic workshop today. It was one of the best I have ever attended!” Susan Watts, Executive Director EE Centre

“Hands down the best workshop I have ever attended. Has given me the tools to change the way our entire team works with data.” MD, Children’s Aid Society