312 Lecture Slides
Introduction
Matrix 1
Matrix 2
Matrix 3
Matrix 4
Matrix 5
Introduction to R
Gelman-Hill 3
Multiple Regression -- Basic Models [[Venn Diagrams]]
Multiple Regression -- Testing Issues [[Build Random Data]][[Kids Data]]
Factor Analysis and Related Methods [[Athletics Data]]
Model Equations and Model Constraints
Confirmatory Factor Analysis
Introduction to Canonical Correlation [[Data]]
Introduction to Discriminant Analysis [[Data]]
Binary Logistic Regression [[Crab Data]]
Factorial ANOVA and the General Linear Model
MANOVA and the Multivariate GLM[[Data]]
Tools for Analyzing SEM Models