Introduction to Quantitative Research Methods (POLS0008)

Key information

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

Restrictions: This module is a first year core module for students enrolled on PPE (all PPE students) and students on Q-Step programmes, it cannot be taken by other students.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module introduces students to quantitative methods in the social sciences. It assumes no knowledge of quantitative methods or statistical software. The module caters for students from diverse disciplinary backgrounds and adopts a practical hands-on approach to learning, with tutor supported computer tutorials. The module covers descriptive statistics (central tendency and variation), data visualisation, data access, probability, sampling, hypothesis testing, inferential statistics and ends with an introduction to simple linear regression. Students will be introduced to the R statistical software and work with real-world data.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 2 听听听 Undergraduate (FHEQ Level 5)

Teaching and assessment

Mode of study: In person
Methods of assessment: 100% Coursework
Mark scheme: Numeric Marks

Other information

Number of students on module in previous year: 151
Module leader: Dr Anwar Musah

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 exams and in-class activity will be confirmed by the teaching department for the module.

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