BACKGROUND: We All Count asked you, our project members, for your experiences – both positive and negative – with situations where you can’t pick the data that you’re asked to work with. We heard about difficulties with poorly designed...
“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...
So, you’ve heard that you should never average averages. The person who told you this “rule” was probably well-intentioned; someone who didn’t want you to make a mistake by taking an average of averages without understanding the implications of doing so....
Whenever we attribute meaning to the results of a data project, we are interpreting those results. We’re using what we know about the data, the analysis, the project as a whole and all kinds of preexisting knowledge, opinions and worldviews to say, “ah, if that is the...
Here at We All Count, we spend a lot of time talking about research questions. Step 3 of the Data Equity Framework is Project Design, and that’s where you want to embed equity while crafting your research question(s), but in order to that, you need to know what a...
