Why You Need to be Disaggregating Your Data for Racial Equity
When working with organizations, we often see leaders with good intentions make a simple mistake: taking their data at face value instead of looking deeper into the numbers. But when you take your data at face value, this can often lead to incorrect and counterproductive conclusions. Consider an organization seeking to improve the graduation [...]