# Class handouts and notes

# Notes:

(1) The handouts below were written over several years and do not always have a logical organization from one document to another. E.g., the notation may not be consistent across documents. Different documents may also deal with the same or similar topics.

(2) Handouts with the preface of QMIN are specific to PSYC5741 Quantitative Methods in Neuroscience..

(3) These handouts are copyrighted but should be treated as traditional "free open source" documents. They may be copied, modified, and distributed as long as there is no financial or other commercial gain in the copying, modification, and/or distribution process.

(4) Not all handouts are currently available on this web site.

- Unix:
- Introduction to Unix

- SAS:
- Introduction to SAS
- Getting raw data into a SAS dataset
- Creating and accessing a permanent SAS data set

- Statistical Theory
- Parametric Statistics
- Transformations of Variables
- Maximum Likelihood
- Pearson Selection Formula

- Regression:
- Mathematical Theory of Regression
- Regression and Path Analysis
- Path Analysus 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
- SPSS MANOVA
- QMIN: ANOVA and ANCOVA
- QMIN: Multiple Comparison Procedures
- QMIN: GLM: Coding Categorial Variables

- Repeated Measures:
- Traditional Repeated Measures ANOVA
- QMIN: Repeated Measures

- Mixed Models:
- QMIN: Mixed Models
- Preparing SAS data sets for PROC MIXED.

- Data Reduction & Exploration of Associations:
- Principal Components
- Factor Analysis
- Multidimensional Scaling