In my early years of analyzing data, I worked on a project that was designed to improve women’s self-empowerment. We needed to develop some data that would help us understand the potential impact of the project. Measuring self-empowerment is not a straightforward...
When I was a graduate student, I was studying mathematical statistics and was interested in ways to use my work as a feminist. I took several women’s studies research methods classes and asked a variety of professors how to use quantitative statistics from a feminist...
Let’s say you are surveying 100 people out of 10,000. You want to analyse the data from your sample of 100 to get answers about the likely behaviours and preferences of the overall 10,000 person population. Part of your project focuses on equity among sexual...
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...
