312 Lecture Slides
Introduction
Correlation and Covariance
The Laws of Linear Combination (Lecture Video)
Matrix Intro
Matrix Algebra of Sample Statistics
R Matrix Intro
Expected Value Algebra
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Matrix 1
Matrix 2
Matrix 3
Matrix 4
Matrix 5
Introduction to R
Introduction to Regression and Correlation
Introdduction to Multiple Regression (Slides) (Lecture)
Key Regression Algebra (Slides) (Lecture)
Practical Factor Analysis
Gelman-Hill 3
Multiple Regression -- Basic Models [[Venn Diagrams]]
Multiple Regression -- Testing Issues [[Build Random Data]][[Kids Data]][[KidsDataR.txt]]
Factor Analysis and Related Methods [[Athletics Data]]
Model Equations and Model Constraints
Confirmatory Factor Analysis
Algebra of Canonical Correlation
[[Data]] [[Code1]] [[UCLA Data]]
Introduction to Canonical Correlation [[Data]]
Introduction to Discriminant Analysis [[Data]] [[IrisData.txt]] [[spss.discrim.txt]] [[football.txt]]
Binary Logistic Regression [[Crab Data]]
Factorial ANOVA and the General Linear Model
MANOVA and the Multivariate GLM[[Data]]
Tools for Analyzing SEM Models
Generating Equivalent SEM Models