Identifying and managing bias in data analysis and interpretation

Description

There are different types of bias that can affect the work of a MEAL/IM professional working with data. Being aware and alert can help us overcome them and avoid serious flaws in our data analysis and interpretation. During this webinar, we will go over the concept of bias and how it is linked to our work in M&E. We will also discuss ways to manage cases of bias so as to mitigate the risks. In summary, we explore: What is bias? What are the different types of biases? Why is the identification of bias important? How does bias affect data analysis and interpretation? How is bias associated with monitoring, evaluation and learning? How can we manage bias and mitigate the risks? There will also be a Q&A session.