1. 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

2. Multivariate differences
25-Apr-00
AGR206

3. Partition of SS
25-Apr-00
AGR206

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

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

6. 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