GLM II: Advanced Regression and ANOVA

4 units · Graduate

This course covers advanced regression and analysis of variance through the lens of the linear and generalized linear model (GLM). Value of the GLM and its connections between anova and regression models, and treatment of continuous versus discrete outcomes will be stressed. We will cover interactions between categorical and continuous predictors in experimental and non-experimental designs, etc. Students should be comfortable analyzing data in SPSS; lab work will be supplemented with R. Prereq: 7648, or permission of instructor.