SEM Lecture Slides
Course Introduction
Basic Statistics of Covariance and Correlation
Minimal Matrix Algebra
Matrix Calculation in R
Matrix Algebra of Sample Statistics
Random Vectors and Random Matrices
Eigenvalues and Eigenvectors [[sympower.txt]]
Regression Algebra
Geometry of Multivariate Statistics [[GeometrySupport.R]][[GeometryDemos.R]]
Common Factor Analysis: Early History
The Tetrad Difference Criterion
Practical Exploratory Factor Analysis [[AthleticsData.csv]][[FactorScript.txt]]
The 3 Indeterminacies of Factor Analysis [[RotateDemo.txt]]
Confirmatory Factor Analysis [[CFACode.txt]]
Bifactor Models
Path Diagrams
Fitting a Structural Equation Model via Iteration
General Models for Covariance Structure Modeling
[[WheatonInput.txt]][[WheatonOutput.txt]][[EX64.COV]]
[[Wheaton.SPL]] [[Wheaton.inp]] [[Wheatoncov.dat]] [[Wheaton.out]]
A Typical Analysis [[HH.inp]][[HH2.inp]] [[HH03.inp]] [[HH.0ut]] [[HHcor.dat]]
Selected Models
Equivalent Models
Constrained Estimation and Standardized Solutions
Monte Carlo Studies with Mplus [[Output,txt]]
[[MplusCodeGenerator.R]][[MCTEST.inp]]
Power and Sample Size