Close
Description
This module is an introduction to regression analysis. It will be a pre-requisite for all advanced quantitative modules in Term 2. However, please note that exemptions from this module may be considered for students coming with particularly strong skills in this area (please discuss directly with the programme leader and inform the programme administrator).
The module starts with an introduction to Ordinary Least Squares (OLS) regression and the assumption behind them and moves through topics on OLS violations, transforming variables, non-linear effects, dummy variables and interactions and finished with a range of limited dependent variable models.
Each lecture will be mirrored by a practical workshop seminar where students will put the analytical techniques introduced in the lectures to use. Students will analyse a large datasets using a statistical computer package (STATA) and will be encouraged to develop good practice in presenting and interpreting the statistics they produce. By the end of the course students will be able to carry out an independent piece of research using regression techniques and will present this work in class. Students should also be able to analyse critically the use of statistics in social research and to feel comfortable with using different regression techniques to answer questions about social phenomena.
Module deliveries for 2024/25 academic year
Last updated
This module description was last updated on 8th April 2024.
听