Data Analysis (POLS0010)

Key information

Faculty: Faculty of Social and Historical Sciences
Teaching department: Political Science
Credit value: 30

Restrictions: This module is a second year core module for students enrolled on Q-Step programmes only, it cannot be taken by other students.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module aims to build skills in applied statistics using a variety of methods, including regression, spatial analysis and longitudinal/panel data. It starts with an introduction to multiple regression, advanced survey methods and missing data before going to look at a host of spatial analysis methods. In term 2, students will begin with an introduction to a wider range of regression techniques, including models for binary dependent variables, panel/longitudinal data, multilevel models, and poststratification. The module also builds broader skills in quantitative research including data collection, data organisation and statistical communication. The module caters for students from diverse disciplinary backgrounds. Students will become proficient users of statistical software (R) and be able to identify, analyse and interpret regression output. Throughout there is an emphasis on the use, interpretation and understanding of results.听

Module deliveries for 2024/25 academic year

Intended teaching term: Terms 1 and 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: 137
Module leader: Dr Indraneel Sircar

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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