Key Facts
- Module Tutor(s):Alfonso Miranda
- Assessed by: Coursework
- Credit Value: 30
- Term: Summer
- Access: Open
Quantitative Analysis III
Course Code:RMRQAN_AS9
This course covers a range of advanced statistical methods. In this module you will be introduced to more advanced modeling techniques. The main part of the course will cover multilevel models. The course also includes sessions on event history analysis and quantile models, with which you will gain familiarity and hands-on experience. Typically this will be managed by having both lectures and practical workshops in each session. Statistical software such as SPSS, MLwin and R will be used. A range of prepared data sets will be used, including large-scale surveys and longitudinal studies. You will achieve, as a minimum, a level of competence that enables you to use more advanced modeling techniques. You should be familiar with the following topics: basic statistical inference including confidence intervals and hypothesis testing; multiple linear regression including categorical variables and interaction effects; binary and multinomial logistic models ; model selection; SPSS for Windows.
Related Programmes
Economics of Education MSc
