module
Undergraduate Module Descriptor
SSI2005: Data Analysis in Social Science 2
This module descriptor refers to the 2023/4 academic year.
Overview
| NQF Level | 5 | ||
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| Credits | 15 | ECTS Value | 7.5 |
| Term(s) and duration | This module will run during term 1 (11 weeks) | ||
| Academic staff | Dr Andrei Zhirnov (Convenor) | ||
| 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 | 27/01/2023 |
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