Modelling the Social World

Overview

The module will enable students wishing to acquire advanced multivariate quantitative methods to be trained in such methods. This may include methods such as event history, multilevel modelling, or structural equation modelling.

Learning Objectives

- Design strategies for collecting and modelling large complex quantitative data
- Identify techniques for analysing quantitative data
- Evaluate strengths and weaknesses for advanced quantitative methodologies
- Determine appropriate usage of advanced quantitative methodologies for varying contexts
- Recognise the principles needed to develop more specialist skills
- Describe and evaluate empirical data and sources using advanced quantitative methodology
- Interpret and convey quantitative output in both technical and practical terms

Skills

- Handling, managing and manipulating large and complex quantitative datasets
- Employ statistical software package to analysis data
- Design, execute, and interpret multivariate statistical analysis
- Present and communicate quantitative material in a coherent manner and format

Assessment