General Linear Model - Univariate
Presents a model-comparison approach to the analysis of a single dependent variable. Topics include simple and multiple regression involving continuous independent variables, categorical independent variables (ANOVA designs), and mixtures of the two (covariance analysis). Also covered will be logistic regression, data screening and outlier detection, testing of model assumptions, data transformation, and repeated measures models.
Graduate course in the Psychology program offered by the Faculty of Graduate Studies.