 Instructor: Michael Friendly (my home page)
 Class meetings:
Thursday, 2:30 am  5:30 pm, 203 BSB, lab session: 1:302:30, Hebb lab, 159
BSB
Psychology 6140 is designed to provide an integrated, in depth, but
applied approach to multivariate data analysis and linear
statistical models in behavioural science research. There is a strong
emphasis on using graphical methods to understand your data.
The
statistical topics covered will include:
 Regression analysis
 Univariate and multivariate ANOVA and ANCOVA
 Discriminant analysis
 Logistic regression
 Canonical correlation analysis
 Principal components, factor analysis, LISREL models (CFA, SEMs)
 Cluster analysis and Multidimensional Scaling (time & interest permitting)
See the more detailed Course Outline for further information,
and the class schedule for lecture notes and tutorials. See the Hebb Lab website
for information on access to the Hebb Psychology Computer Lab.
Course feature: MVStatsNews
Occasional presentations by members of Psychology 6140 on topics of interest, typically from popular news and blogs.
Resources
Statistical software
You can use any statistical software for the course, but
in lectures and lab sessions I will be using R software
nearly exclusively, together with the R Studio user interface for R.
You are welladvised to download and install these to your computer so you can follow along.
This web site also contains many legacy examples using SAS.
 R Project for Statistical Computing.
R is a free software environment for statistical computing and graphics (Windows, MacOS, Linux).

You can download it from any CRAN mirror site.
 R Studio is a powerful frontend for R, much more convenient than the standard R GUI.
Among other features, it offers integrated tools for help, plotting, history and the ability to run an R script to obtain a
HTML, PDF or Word document containing your input and output.
Using R will be much easier if you install the R Studio user interface for R.

For this course,
use this R script to install useful addon packages, the same ones
as used in the Hebb lab.

The matlib package provides a number of useful functions for learning matrix algebra for multivariate statistics.
 If you insist on SAS or SPSS, see
York group licenses for SAS and SPSS for purchasing a copy for your own computer.
Computing Guides
Methods Notes, and Bibliographies
The items below give readings and problems for course assignments.
Problems denoted "MAP" come from:
Matrix Algebra Problems with
Applications in Psychology and Multivariate Analysis
[PDF version]
There is a large library of
SAS examples, grouped into the following categories.
Most now have the printed and graphical output on corresponding web pages.
All of these, together with SAS data sets and macros for the course, are available in a single ZIP file,
psy6140.zip.
© 1995 Michael Friendly
This URL is: http://www.yorku.ca/friendly/psy6140/