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Unit of study_

BUSS7904: Advanced Quantitative Methods

This unit provides students with an introduction to advanced quantitative analysis techniques that they may be required to know, discuss or conduct, both during their PhD and in their future working lives. The unit is divided into four segments. The first segment reviews basic quantitative methods covered in BUSS7902 before considering issues around estimation and forecasting. Focus then switches to approaches for dealing with repeated measures including panel estimation methods and time series analysis, before consideration of ANOVA techniques and analogous non-parametric methods. Consideration is then given to the most widely used multivariate methods including factor analysis, multiple discriminant analysis, cluster analysis and structural equation modelling. The final segment covers categorical and discrete choice data analysis covering both the theory and practice of designing choice experiments and conducting sophisticated logit modelling applications. The unit covers both the theory and application of the various techniques with hands-on lab-based sessions and assignments crucial to the quality of the learning experience.

Code BUSS7904
Academic unit Business School
Credit points 6
Assumed knowledge:

At the completion of this unit, you should be able to:

  • LO1. understand some fundamental concepts and methods in statistics
  • LO2. employ advanced statistical models and appropriate statistical methods to analyse the data using statistical packages
  • LO3. interpret computer output and summarize research findings
  • LO4. relate statistical knowledge and outcomes to your research project.

Unit outlines

Unit outlines will be available 2 weeks before the first day of teaching for the relevant session.