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...
Real-Time Stats for Real-Time Problems: The Promises and Limitations of Predictive Methodologies in the Public Sector. Predictive analytics are a hot topic in many fields right now. Predictive analysis, or risk modeling, asks how we can use data not only to understand...
We often think of data analysis as being objective. And in many cases, those presenting their analyses to us would prefer it that way. But, no matter how much we hope for it, data analysis is not objective. When we model data, we decide what factors are important to...
