Data collection for the purpose of program evaluation is an inherently political process. What data is collected, by whom, how it is interpreted, and how it is used (or not) affects policy, organizations and the people they serve. In this module, you will examine data analysis and interpretation, as well as ways to communicate your findings effectively and creatively for transformation and learning. You’ll also consider the notion of reciprocal accountability, deepening your understanding of how funders and others can share key learning back to the people or agencies collecting the data.
Through this module, you’ll critically explore how data has traditionally been used and interpreted, and how it can be better used to influence social change.