Current teaching
Statistics for Research (PS5302)
The aim of this course is to provide students with an overview and basic understanding of advanced statistical methods used in psychology and neuroscience research, including hands-on experience applying these methods to specific problems. The course will provide a methodological foundation for students who wish to pursue research in disciplines allied to the MSc course. Topics will include: Simple and multiple regression, general linear models, analysis of covariance, bootstrapping and resampling, nonlinear regression, factor analysis. The course will focus on quantitative statistical methodological approaches used in psychological research, their fundamental principles and underlying assumptions as well as their strengths and weaknesses, and the types of problem each approach is best suited to address. Students will have an opportunity to gain hands-on experience in applying some of these methods to actual problems (including but not limited to how to implement the methods with statistical software). Students will learn how to critically evaluate how these methods are used in the scientific literature, and be able to identify appropriate methods for addressing particular questions.