- Instructor: Michael Friendly (my home page)
- Class meetings:
Thursday, 11:30 am - 2:30 pm, 207 BSB, lab session: 10:30-11:30, 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.
Resources
Statistical software
Computing Guides
- SAS OnlineDoc, V9 The SAS Online Documentation
- Local SAS Information Guides
including (among others):
- R software
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.psych.yorku.ca/lab/psy6140/