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Undergraduate Module Descriptor

SOC2077: Data Analysis in Social Science II

This module descriptor refers to the 2018/9 academic year.

Overview

NQF Level 5
Credits 15 ECTS Value 7.5
Term(s) and duration

This module ran during term 1 (11 weeks)

Academic staff

Dr Lorien Jasny (Lecturer)

Pre-requisites

POL1041 / SOC1041

Co-requisites
Available via distance learning

Yes

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

Module created

02/03/2015

Last revised

23/01/18