by Heather Krause | Jun 26, 2020 | Analysis, Data Biography, Data Collection & Sourcing, Interpretation, Project Design
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...
by Heather Krause | Jun 12, 2020 | Analysis, Data Collection & Sourcing, Project Design
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...
by Heather Krause | Mar 2, 2020 | Analysis, Communication & Distribution, Data Collection & Sourcing, Guest Posts
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...
by Heather Krause | Jan 17, 2020 | Analysis, Data Collection & Sourcing, Project Design
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...
by Heather Krause | Oct 22, 2019 | Analysis, Communication & Distribution, Interpretation
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...
by Shannon Mickelson Campbell | Aug 16, 2019 | Analysis, Guest Posts, Interpretation
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...
