Syllabi:

• Spring, 2003
  

Handouts:

• Unix:
  • Introduction to Unix
    
• SAS:
  • Introduction to SAS
  • Getting raw data into a SAS dataset.
  • Creating and accessing a permanent SAS dataset.
  • Setting up your account to use SAS.
  • Converting SAS Data Sets to SPSS.
  • Converting SPSS Data Sets to SAS.
  • Transporting SAS data sets from one computer to another.
     
• Statistical Theory:
  • Introduction to Matrix Algebra (pdf file)
  • Important Matrices (pdf file)
  • Parametric Statistics (pdf file)
  • Transformations of Variables
  • Maximum Likelihood
  • Pearson Selection Formula
  • Regression:
    The Mathematical Theory of Regression
    Regression and Path Analysis
    Path Analysis using PROC CALIS
  • General Linear Models:
    Introduction to the Theory of General Linear Models
    MANOVA - I: Theoretical Introduction to MANOVA
    MANOVA - II: Practical Introduction to MANOVA in SAS
    Repeated Measures
    SPSS MANOVA
    
  • Principal Components and Factor Analysis
    Mathematical Theory of Principal Components

Assignments:

• Matrix Algebra Problem Set
• Regression Analysis: Detroit Data
• Path Analysis of National Merit Twin Data
• Factor Analysis
• Kurlu Data Set