Coutts

Jacob Coutts is a Lecturer in the Department of Psychology and for the Social Data Science Major. His research philosophy broadly is to make advancements in quantitative methods (e.g., mediation, moderation, power, and data visualization) and make those methods accessible to others through software development and pedagogical/tutorial papers. His philosophy in the classroom is to use active learning techniques to equip his students with transferable skills, such as programming in R and Python, professional development, and research design/ethics. He has held numerous positions in industry and academia that have given him a unique approach to teaching and applying research methods and statistics. He is also passionate about equity in PTK positions and is a member of the Advancing Professional Track Faculty Peer Network. In his “free time,” he enjoys movies, stand-up, and sports!