Postgraduate Module Descriptor


SSI2005: Data Analysis in Social Science 2

This module descriptor refers to the 2020/1 academic year.

Overview

NQF Level5
Credits15 ECTS Value7.5
Term(s) and duration

This module ran during term 1 (11 weeks)

Academic staff

Dr Andrei Zhirnov ()

Pre-requisites

SSI1006 (POL/SOC1041)

Co-requisites

none

Available via distance learning

No

The purpose of the module is to introduce you to regression analysis 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 add to your current understanding of statistical analysis. 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.

SSI1006 (POL/SOC1041) is a pre-requisite for this module.

Module created

11/12/2019

Last revised

26/08/2020