Data Literacy for Psychology

(4 Credits)

Data Literacy for Psychology will equip students with a critical understanding of how behavioral data, statistics, and psychological research are used and misused. The course will cover the importance of data literacy, lying with data, cognitive biases, Bayesian reasoning, coincidences, opinion polling, pseudoscience, the scientific process, academic publishing, navigating the scientific literature, types of data, experimental design, variables, the concept of a p-value, and the replication crisis.