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Statistics
Multivariate Analysis
1. Introduction to Multivariate Analysis
2. Foundations in Matrix Algebra and Random Vectors
3. The Multivariate Normal Distribution
4. Data Preparation and Exploration
5. Principal Component Analysis
6. Factor Analysis
7. Multiple Linear Regression
8. Multivariate Analysis of Variance
9. Discriminant Analysis
10. Logistic Regression
11. Cluster Analysis
12. Canonical Correlation Analysis
13. Multidimensional Scaling
14. Advanced Multivariate Methods
Multivariate Analysis of Variance
MANOVA Conceptual Framework
Extension of ANOVA
Multiple Dependent Variables
Simultaneous Testing
Type I Error Control
MANOVA vs. Multiple ANOVAs
Advantages of MANOVA
Power Considerations
Interpretation Differences
MANOVA Assumptions
Independence of Observations
Multivariate Normality
Homogeneity of Covariance Matrices
Box's M Test
Robustness Considerations
Adequate Sample Size
MANOVA Test Statistics
Wilks' Lambda
Pillai's Trace
Hotelling-Lawley Trace
Roy's Largest Root
Choosing Among Test Statistics
One-Way MANOVA
Model Specification
Hypothesis Formulation
Test Statistic Calculation
Effect Size Measures
Factorial MANOVA
Two-Way MANOVA
Interaction Effects
Main Effects
Follow-Up Analyses
Univariate ANOVAs
Bonferroni Correction
Roy-Bargmann Stepdown Analysis
Discriminant Analysis
Effect Size and Power
Multivariate Effect Size
Power Analysis
Sample Size Determination
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9. Discriminant Analysis