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...
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...
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...
Learning #1: Indigenous Quantitative Methods A few months ago I set out to create a research brief of Indigenous Quantitative Methodologies. I wanted to start a survey of just some of the existing ways that Indigenous cultures around the world create knowledge and...
Too often in data science, we use identity categories. We once were hired by clients involved in a youth mental health situation where they needed to target scarce resources (why the resources were scarce is an entirely other conversation for a different...
You’ve heard us say it before: Define your question first, then choose a methodology. Rather than letting your methodology limit your questions, let your research questions drive the project design. For an example of how to reframe research questions and adjust...