PSYC 991 Longitudinal Data Analysis
Reviews and contrasts various statistical methods for the analysis of change. Course focuses on various techniques to analyze longitudinal (repeated-measures) data beyond the repeated-measures ANOVA framework. Techniques covered included latent change scores, latent difference scores, individual-differences modeling of latent residual and change scores, intra-individual differences modeling (e.g., growth curve, mixed modeling) and growth mixture modeling. Applications across the behavioral and social sciences are emphasized. Prerequisite: PSYC 896 or equivalent, or consent of instructor.
We offer a single doctoral degree in Psychology which may be earned in one of the following programs: brain, behavior, and quantitative science, clinical psychology, and social psychology. Admission decisions are made separately within each program. Students admitted to one of these programs enter with the expectation of continuing graduate study through the Ph.D. as the department does not admit terminal master's students.