STAT830 Categorical Data Analysis
This course provides an applied overview of categorical data analysis. Topics covered include data classification (e.g., cluster analysis, machine learning algorithms), chi-square, logistic regression, log-linear modeling, and configural frequency analysis. The capstone assignment for the course is an empirical paper of the type and quality found in academic journals; other assignments (e.g., presentation, peer review) support this. Class sessions are divided into didactic and lab portions, in the latter of which the primary language for statistical programming will be R. Prerequisites: MTHD808, STAT809, STAT810 (and proficiency in R).