Psychology 312

Psychology 312 is an introductory course in Multivariate Analysis. The coverage is relatively standard for a course in this type, and includes modules on

  • Matrix Algebra
  • Regression Analysis, including Multiple Linear Regression
  • Exploratory Data Reduction Methods, including Common Factor Analysis and Principal Components Analysis, and methods of Rotation
  • Confirmatory Factor Analysis
  • A Brief Introduction to Covariance Structure Modeling
  • Classification Methods
  • Canonical Correlation Analysis
  • Discriminant Analysis
  • Multivariate Analysis of Variance (MANOVA)
  • Machine Learning

Special Topics may be pursued depending on the overall speed of the class and the interests of its members.