The Data Equity Framework is a process that helps you to identify the many key choices you’ll have to make in a data project and provides tools and strategies to help improve your choice-making to better align with your equity goals. The other day someone raised a...
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...
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...
This is part 2 of our examination of Proxy Variables, take a look at our introduction to the subject here. So, is race a proxy variable? Should we use race as a proxy variable? In depends. Sometimes. In working we equity in quantitative...
When you need to know more than just a general average, you need an Equity Gap Score. If you have a mandate that includes equity between any category of people, whether race, sex, income, education, geography, or whether or not they like sugar in their tea, you need...