Postgraduate Module Descriptor


POLM809: Applied Quantitative Data Analysis

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

Module Content

Syllabus Plan

Whilst the module’s precise content may vary from year to year, it is envisaged that the syllabus will cover some or all of the following topics:

Topic 1: Introduction: why use quantitative data and

Topic 2: Inferential statistics, a primer

Topic 3: Collecting data, sampling, data management and data integrity

Topic 4: Describing data and dealing with missing data

Topic 5: Writing up the results

Topic 6: Testing relationships between variables

Topic 7: Visual displays of data

Topic 8: Multivariate statistics

Topic 9: Ordinal and binomial data Topic 10: Advanced techniques Topic 11: Student Presentations

The module will be taught through 7 weekly two-hour sessions (including introductory session). There will be a mix of formal lecture led by the co-ordinator, practical experience, student presentations and student discussion. The emphasis is on active seminar participation, practical experience and the development of techniques and tools with regard to assessed work. The techniques will be explored through appropriate practical work and independent study.

Learning and Teaching

This table provides an overview of how your hours of study for this module are allocated:

Scheduled Learning and Teaching ActivitiesGuided independent studyPlacement / study abroad
14 136 0

...and this table provides a more detailed breakdown of the hours allocated to various study activities:

CategoryHours of study timeDescription
Scheduled Learning and Teaching Activities147 weekly two-hour sessions (including introductory session).
Guided independent study66Reading, thinking and preparing for weekly sessions
Guided independent study10Web-based learning
Web-based learning60Preparation and completion of assessments

Online Resources

This module has online resources available via ELE (the Exeter Learning Environment).