In this video, Michelle Dion, Academic Director of Spark discusses outliers — instances of data that do not fit the theory or model. She talks about a range of approaches to addressing them effectively, and the pros and cons of each one. Dr. Dion will also touch back on your research theory and how outliers can inform your research output.

Bio:
Michelle Dion is an award-winning Associate Professor of Political Science at McMaster University. She is also currently a co-Editor (2020-24) of the American Political Science Review, one of the oldest and most visible journals in the discipline of political science. She is also the founding Academic Director of the Spark Centre for Social Research Innovation (formerly known as CRESS: Centre for Research in Empirical Social Sciences). She specializes in comparative political economy, comparative political behaviour, and research design and methodology.