SCS Short Course

This document contains the (somewhat out-of-date) online version of the course notes for the short course, Categorical Data Analysis with Graphics, offered through the Statistical Consulting Service at York University. The online version contains the text, tables, and character-based graphs of the printed version, and many, but not all, of the high-resolution graphs. The images have been reduced to 60% of original size, however, out of consideration for network traffic, but somewhat at the expense of esthetics. As well, most of the typeset equations from the printed version are rendered simply as text, which means they look like input to a formula processor (which is what they are).

If you want to learn more about categorical data analysis, there are several books and other resources I recommend:

- Agresti, A. (1990). Categorical Data Analysis. NY: Wiley.
- Christensen, R. (1990). :Log-Linear Models. Springer-Verlag.
- Everitt, B. S. (1992). The Analysis of Contingency Tables, London: Chapman & Hall (Monograph 45).
- Stokes, M.E., Davis, C.S., and Koch, G.S. (1995). Categorical Data Analysis Using the SAS(R) System. Cary, NC: SAS Institute.
- Robert Hanneman's Generalized Linear Models: An Introductioon

- Framework for Categorical Data Analysis
- SAS programs
- Part 1: Plots for discrete distributions (13K)
- Part 2: Tests of Association for Two-Way Tables (24K)
- Part 3: Plots for two-way frequency tables (26K)
- Part 4: Mosaic displays for n-way tables (9K)
- Part 5: Correspondence analysis (21K)
- Part 6: Logistic Regression (65K)
- Logistic Regression Model
- Predicted probabilities
- Fitting Logistic Regression Models
- Plotting results from PROC LOGISTIC
- Quantitative predictors
- Models with interaction
- Ordinal Response: Proportional Odds Model
- Plotting results from PROC LOGISTIC
- Polytomous Response: Nested Dichotomies
- Influence statistics and diagnostic plots

- Part 7: Plots for logit models (17K)
- Part 8: Loglinear models (19K)
- References
- Figure List

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URL:

`http://www.datavis.ca/courses/grcat/`