The Identity Sorting Dials are a really useful tool to start (again, I’ll say start) thinking about the interplay between human considerations like fit (“can I see myself in this category”) and ease (“how difficult is it for me to interact with this data process”) and...
The Data Equity Framework works on equity between any categorization of people in your data, not just race, so we don’t publish many race-specific articles simply because it’s a narrower subject than our tools address. However! In person, during workshops,...
If we’re going to use P values as our measure of what’s a meaningful difference versus a difference due to random chance, we need to recognize that P values are highly dependent on sample size. This dependency leads to a situation where we call a problem experienced...
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...
The Identity Sorting Dials are a really useful tool to start (again, I’ll say start) thinking about the interplay between human considerations like fit (“can I see myself in this category”) and ease (“how difficult is it for me to interact with this data process”) and...
This article begins a 4 part series on what We All Count calls Identity Sorting Dials. “If I want to be inclusive on my survey, shouldn’t I use as many identity options as possible?” “If we want our results to be statistically significant, aren’t we going to need to...