Postgraduate Module Descriptor


POLM809: Applied Quantitative Data Analysis

This module descriptor refers to the 2022/3 academic year.

Module Aims

POLM809 intends to provide an advanced introduction into quantitative methods in the social sciences. You will acquire skills to analyse data in various forms and using a variety of quantitative tools, techniques and software packages.  You will learn the strengths and weaknesses of various techniques and be taught how to deal with issues such as missing data and data bias. By the end of a course of practical demonstrations, associated lectures, and practical assignments, this module aims to have enhanced   your skills in the analysis and presentation of quantitative data appropriate to a wide range of research problems. Throughout the module, emphasis will be placed on applying the techniques learned and the practical experience of analysing quantitative data sets. You will learn how to construct data sets from individual and aggregate level data, how to describe and visualize relevant data patterns using graphical tools, how to analyse the data using the appropriate statistical tools, and how to interpret the results of this analysis. You will focus on the analysis of questionnaires, historical data, content analysis and other data sources. Examples will be drawn from the humanities and social sciences

Intended Learning Outcomes (ILOs)

This module's assessment will evaluate your achievement of the ILOs listed here - you will see reference to these ILO numbers in the details of the assessment for this module.

On successfully completing the programme you will be able to:
Module-Specific Skills1. recognize and evaluate in writing the diversity of specialized techniques and approaches involved in analysing research information, both quantitative and qualitative;
2. critically evaluate in writing the issues involved in application of research design in the context of the social sciences;
3. Demonstrate acquired skills in data analysis
4. demonstrate acquired skills in a computer package for statistical analysis (e.g. SPSS, Stata);
5. Show ability to present analysed data in a coherent and effective manner.
Discipline-Specific Skills6. demonstrate understanding in the use of advanced tools and techniques of quantitative research;
7. construct well thought out and rigorous data analysis, tables and reports for both written and oral presentation;
8. examine relationships between complex theoretical concepts with real world, empirical data;
Personal and Key Skills9. demonstrate an advanced ability to study independently and effectively;
10. deliver accurate and nuanced presentations to your peers, and communicate effectively in speech and writing; and
11. use IT for the retrieval and the presentation of a wide variety of information.