Undergraduate Module Descriptor
SOC2077: Data Analysis in Social Science II
This module descriptor refers to the 2016/7 academic year.
|Term(s) and duration|
This module ran during term 1 (11 weeks)
Dr Lorien Jasny (Lecturer)
POL1041 / SOC1041
|Available via distance learning|
The purpose of the module is to introduce you to quantitative methods commonly used in political science, sociology and criminology. A good understanding of data collection, analysis and interpretation is essential for much empirical research in social science. Moreover, quantitative methods are becoming increasingly relevant for the competitive professional world. Hence, the module is designed to provide students with no background in statistics and computing with a knowledge of a wide range of quantitative analytical techniques, including tools for data analysis and presentation, descriptive statistics, inferential statistics, and regression models (OLS). You will also be trained in statistical software packages (Excel, R) commonly used in academic and workplace settings. By the end of the course, you should be able to understand a range of quantitative research methods, including multiple regression analysis, demonstrate competence in performing statistical analyses using popular software packages, apply quantitative methods to real world problems, evaluate their use in published research and employ these methods (where appropriate) in your dissertation. POL/SOC1041 is a pre-requisite for this module.