Everytime I see a stat like “25% of respondents are Black”, I see only one piece of a four-piece puzzle filled in. With only this piece, I don’t know how to use this information. I don’t know if it matches the category from my dataset, I...
We’ve said it before: When you need to know more than just a general average, you need an Equity Gap Score. An average tells you what happened and an Equity Gap Score tells you for who. Each piece of information needs the other to give meaning. If you have a...
Early in my career, I was working on a project using education data, and we were having a meeting with policymakers, school principals, and a team of researchers. When one of the principals asked a question about what assumptions were used in crafting one of the...
I want to talk to you about why you should stop saying “not statistically significant” based on sample size alone. The term “not statistically significant” should only be applied to a hypothesis, not a sample size, and even then it’s an...
Talking about data equity can be tricky. Maybe you’ve been to a conference or a workshop where you encountered an idea, a tool or a process that you’re super excited about. You want to bring it up with your team on Monday but by then you’re a little...
“We are a small population of people because of genocide. No other reason. If you eliminate us in the data, we don’t exist. We don’t exist for the allocation of resources”. – Abigail Echo-Hawk, Pawnee, Director of the Urban Indian Health Institute and Chief...
