Prof Gregory Sorkin and Dr Heather Kappes

This course is compulsory on the MSc in Management. This course is available on the MPhil/ PhD in Employment Relations & Org Behaviour and MPhil/ PhD in Management. This course is not available as an outside option.

Analysis of Variance, Simple and multiple linear regression, including ideas of confounding and statistical control, the use of dummy variables, interactions and non-linear effects of explanatory variables, collinearity, diagnostics and model development. Introduction to logistic regression modelling. Introduction to Management Science modelling. Introduction to principal components analysis and factor analysis.

20 hours of lectures and 13 hours and 30 minutes of computer workshops in the MT.

Weekly homework with formative assessment by Class Teachers

Anderson, D.R., Sweeney, Williams, and Wisniewski (2009). An Introduction to Management Science: Quantitative Approaches to Decision Making. Agresti, A., & B. Finlay. (2009). Statistical Methods for the Social Sciences (Fourth Edition). Pearson.

Exam (85%, duration: 2 hours) in the main exam period.
Project (15%, 500 words) in the MT.

The project is a 500-word data analysis project with a peer critique component.