Learning Outcomes:
- Basic understanding of statistical analysis in the social science
- Ability to manipulate data sets to prepare for statistical analysis
- Ability to select the appropriate statistical technique for a range of different types of empirical questions
- Ability to execute a range of standard techniques
- Ability to describe, interpret, and present statistical analysis to a wider audience
- Ability to translate statistical results to substantive relevance
- Introductory level skills in data analysis in R
- Ability to organise data analysis and results
Indicative Module Content:
Data inspection and visualisation
Descriptive statistics
Linear regression
Logistic regression
Machine Learning: Regression trees
Cluster analysis
Principal component analysis
Quantitative text analysis
Topic models