Courses
I teach graduate courses in psychology and statistics at York University, with extensive online materials available for each course.
Current Courses
PSY 6135: Psychology of Data Visualization
A graduate seminar exploring the cognitive and perceptual foundations of data visualization. Covers principles of graphical perception, design of effective visualizations, and the history of statistical graphics.
Course materials available online with lecture notes, assignments, and examples.
PSY 6136: Categorical Data Analysis
A graduate course on methods for analyzing categorical and discrete data. Topics include loglinear models, logistic regression, generalized linear models, and visualization methods for categorical data.
Comprehensive online resources including R code, datasets, and tutorials.
Older Courses
PSY 6140: Multivariate Data Analysis
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.
Statistical topics covered 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
Short Courses & Workshops
I regularly teach short courses and workshops on:
- Data visualization in R
- Multivariate linear models
- Categorical data analysis
- Historical perspectives on statistical graphics
For more information about courses and teaching materials, visit my courses page at datavis.ca.