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...
Data-based impact evaluations are an essential way for nonprofits to understand how their work is affecting the people they aim to help. But how do we determine what constitutes an improvement? What is our yardstick for success? In many cases, impact evaluations look...
Most of us know that careful data collection is important to quality data analysis. Asking how your data was collected and where it comes from is critical. Especially when the results of your analysis are going to affect people’s lives. But did you know that who...
