This course will introduce students to the theory and practice of longitudinal data analysis. It will examine a number of approaches for modeling change (in continuous outcomes) and event occurrence (broadly defined, in categorical or ordinal outcomes), including a careful treatment of the metric of time as well as missing data. Students will learn to develop, implement, interpret, and report research involving longitudinal data analyses. The use of statistical software is also illustrated. Prerequisites: PSYC 728 or PSYC 828 and PSYC 736 or PSYC 836.