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...
Sometimes we’re told numbers that just don’t seem right. Even when the math is shown to us, the answer doesn’t align with the world we see around us. Rather than burying our heads in the sand and denying the math, or just conceding that our feelings are wrong and...
It’s Pride weekend here in Toronto and the word of the day of The 519, a city organization dedicated to advocacy for the inclusion of LGBTQ communities is intersectionality. We’ve talked about the importance of using an intersectional approach in increasing the...
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...
If you’re analyzing data related to people, odds are good that you’ll have to include some demographic data. Understanding the age, ethnicity, gender, and status of the population you’re studying is important. You need to think carefully about how to use that data to...