Quantitative Data Analysis (POLS0083)

Key information

Faculty: Faculty of Social and Historical Sciences
Teaching department: Political Science
Credit value: 15

Restrictions: This module is only open to BSc Politics and International Relations degree students in year two
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

Political scientists use quantitative data analysis to understand a wide range of topics, including the role of immigration in voters鈥� electoral behaviour, or the extent to which women are underrepresented in parliaments around the world. This module is designed to introduce you to and help you become familiar with quantitative data analysis methods. It provides you with insights into concepts such as causal inference and statistical uncertainty, and explores a range of basic quantitative research methods. The central aim is to show you how understanding quantitative data and methods can help us answer big questions about the political world. You will leave this module with a better understanding of how to be a savvy consumer of quantitative work, and with some introductory tools with which to undertake quantitative research on political questions. You will also acquire competency in performing statistical analyses using a popular statistical program (R).

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 听听听 Undergraduate (FHEQ Level 5)

Teaching and assessment

Mode of study: In person
Methods of assessment: 30% In-class activity

70% Coursework
Mark scheme: Numeric Marks

Other information

Number of students on module in previous year: 112
Module leader: Dr Julia Du Pont De Romemont

Last updated

This module description was last updated on 19th August 2024.

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Important information

The catalogue has been updated with key information about the modules that will run during the 2024/25 academic session. Current and prospective students can browse through the catalogue to consider possible module choices for the coming year.

Please note,听information in the catalogue is听subject to change as teaching and assessment arrangements for 2024/25 may need to be adjusted in line with the University's Feedback and Assessment principles and operating model.

Centrally managed exam durations will be provided on students' individual exam timetables. Arrangements for locally managed timed assessments and in-class activity will be confirmed by the teaching department for the module.

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