Measurement in Data Science (POLS0013)

Key information

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

Restrictions: This module is a third year core module for students enrolled on Q-Step programmes only, and PIR Year Three students. It cannot be taken by other students.
Timetable

Alternative credit options

There are no alternative credit options available for this module.

Description

This module focuses on advanced measurement techniques that are routinely used in industry, government, advocacy and academic research. The module builds on the material in the second year Data Analysis module and covers theories of quantitative measurement as well as practical measurement strategies involving data reduction techniques and latent variable modelling. Examples are taken from the wide variety of social science fields that use these methods. The module provides hands-on training in the application of these measurement strategies in to real data sets.

Module deliveries for 2024/25 academic year

Intended teaching term: Term 1 听听听 Undergraduate (FHEQ Level 6)

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: 59
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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