Applied Linear Modeling for the Behavioral and Social Sciences

(3 Credits)

Introduces students to an array of general and generalized linear modeling techniques (extending correlations and ANOVA to simple and multiple regression, as well as logistic regression, fixed and random effects) using statistical software as a platform to achieve hands-on experience with real data. This course is most suitable for students looking to apply these models rather than learn the mathematical underpinnings of these techniques.