SMI206   Multivariate Data Analysis in Social Science   (20 credits)

Description

The module is designed to provide students with a solid grounding in the proper application of multivariate data analysis methods, and an appreciation of their role in the study of contemporary society. This is achieved through a combination of lectures, practical classes and seminars which cover the underlying ideas, provide hands-on experience and give examples of the methods application in the research and policy literature. The module covers methods including multivariate regression, logistic regression, and classification methods.

Reading List