Course Description: An introduction to the use of statistical methods for analyzing multivariate data (multiple variables or traits measured for the same individual) and longitudinal data (same variable or trait repeatedly measured on individuals over time) collected in experiments and surveys. Topics covered include multivariate analysis of variance, discriminant analysis, principal components analysis, factor analysis, covariance modeling, and mixed-effects models such as growth curves and random coefficient models. Emphasis is on the use of a computer to perform statistical analysis of multivariate and longitudinal data.