MANOVA Control of experimentwise error rate (problem of multiple tests). Detection of multivariate vs. univariate differences among groups (multivariate responses). Analysis of repeated measures (e.g. growth curves) 25-Apr-00 AGR206

Multivariate differences 25-Apr-00 AGR206

Partition of SS 25-Apr-00 AGR206

MANOVA Model assumptions and analysis strategies. Interpretation of output. Identification of group differences. Identification of variables involved in group differences. 25-Apr-00 AGR206

MANOVA Assumptions Independence of errors. Homogeneity of variance-covariance matrices. Normality. No outliers. 25-Apr-00 AGR206

MANOVA and Path Combination of manova and path analysis allows us to partition not only the variance, but also the covariance of the response variables into treatment and residual. 25-Apr-00 AGR206