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...
Pay equity analysis is one vital way of embedding equity with data. Not only is it the law in an increasing number of places, but it’s the right thing to do! There are numerous ways to conduct a pay equity analysis, some much better than others. In this series, we’re...
Pay equity analysis is one vital way of embedding equity with data. Not only is it the law in an increasing number of places, but it’s the right thing to do! There are numerous ways to conduct a pay equity analysis, some much better than others. In this series, we’re...
