Courses: General Linear Models

General Linear Models – Regression
The first course in the Research Methods sequence briefly covers elementary statistics but primarily focuses on multiple regression analyses. Regression analysis is at the heart of statistics, and a sound knowledge of regression methods will serve you well as you design and conduct master’s and dissertation research projects. We begin with simple regression and then consider extensions such as multiple predictors, nonlinear effects, categorical predictors, and interactions. Students will also learn how to use SPSS or R to conduct regression analyses, and students will begin reading articles in their area of interest to facilitate exploring possible research topics for their master’s project.

[Lecture Slides]