312 Lecture Slides
Introduction
Introduction to R
Basic Concepts of Correlation and Linear Transformation
Introduction to Linear Regression
The Laws of Linear Combination
Matrix Introduction
Matrix Algebra of Sample Statistics
R Matrix Intro
Eigenvalues and Eigenvectors
Matrix Expected Value Theory
The Great SVD Mystery
Regression Algebra
Geometry of Multivariate Statistics [[GeometrySupport.R]][[GeometryDemos.R]]
More Regression Algebra
Common Factor Analysis: Early History
The Tetrad Difference Criterion
Practical Exploratory Factor Analysis [[AthleticsData.csv]][[FactorScript.R]]
The 3 Indeterminacies of Factor Analysis [[RotateDemo.txt]]
Path Diagrams
Confirmatory Factor Analysis [[CFACode.txt]]
Bifactor Models
Canonical Correlation Analysis [[CanonicalCodeA.r]] [[Canonical Bias.r]]
Introduction to Discriminant Analysis [[Data]] [[IrisData.txt]] [[spss.discrim.txt]] [[football.txt]] [[ExampleCode]]
Classification [[ClassifyCode.txt]]
Binary Logistic Regression [[chdage.txt]][[Egypt.csv]][[EgyptCode.txt]]
Factorial ANOVA and the General Linear Model [[AnovaCode.txt]]
MANOVA and the Multivariate GLM[[manova.txt]][[manova.code.txt]]
Tools for Analyzing SEM Models
Generating Equivalent SEM Models
Larceny
Checking Email
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