Categorical Data Analysis
Materials for a course on Categorical Data Analysis.
These slides and handouts are free to share and download as long as you cite their source.
Not everything below is covered in the course itself, but the list below serves as a rough roadmap guide to the course.
- A Review of Descriptive Statistics, OLS and an Introduction to Stata [PDF]
- Data Visualization With Stata [PDF]
- Contingency Tables [PDF]
- Logistic Regression [PDF]
- Some Stuff About Logarithms
- Why Logistic Regression?
- Exploring Logistic Regression
- From Contingency Table To Logistic Regression
- The Logistic Curve Is A Theoretical Construct
- A Diagram Of Some Basic “Intuitions” About The Logistic Curve
- Logistic Regression: The Basics [PDF]
- Visualizing Odds and Risks
- Maximum Likelihood Estimation
- Changes In Predicted Probabilities Are Different At Different Values Of The Independent Variables
- Predicted Probabilities and Margins [PDF] [A Substantive Example [PDF]]
- More Thoughts on Odds and Probabilities [PDF]
- Interactions in Logistic Regression [PDF] (new version)
- Plotting More Complicated Margins
- Logistic Regression Models Are Inherently Interactive [PDF]
- Classification Matrices
- Generalized Linear Models [PDF] [A Gallery of Distributions Used in GLM’s]
- Coefficients in Logistic Regression Models [PDF]
- Complete Separation [PDF]
- Adding Non-Linearity To The Right Hand Side Of An Equation for Categorical Data
- Some Thoughts on Very Large Constants and Coefficients in Non-Linear Models
- Ordinal and Multinomial Logistic Regression [PDF] (new version)
- Count Regression Models [Word]
- Multilevel Models For Categorical Data [PDF]
- Bayesian Categorical Data Analysis [PDF]
- A kinda new, kinda old resource: Thinking Through Bayesian Ideas
- Bayes Theorem Applied To Data Analysis
- Accepting The Null Hypothesis
- Survival Analysis And Event History [PDF]
