SOC300 Quantitative Methods Syllabus

University of Toronto, Fall 2016

About This Course

This course is a follow-up to a first methods course that includes some introduction to descriptive and inferential statistics and the logic of multivariate analysis. We begin by going back to go forward, reviewing some material on the fundamental building blocks of statistical theory and statistical inference. We will look at tables to establish the nature of association and the logic of controlling for variables, and then introduce regression and correlation, and multiple regression. Multiple regression is a universal technique used in most disciplines that apply quantitative data: it is very flexible, and accommodates most styles of thinking and theorizing. Near the end of the course, we will consider the extensions of this model that reflect its flexibility, including interaction effects between variables (intersections), nonlinear relationships, and logistic regression for dichotomous outcomes.