MY455 Half Unit
Multivariate Analysis and Measurement
This information is for the 2025/26 session.
Course Convenor
Prof Jouni Kuha
Availability
This course is available on the Global MSc in Management, Global MSc in Management (CEMS MIM), Global MSc in Management (MBA Exchange), MSc in Applied Social Data Science, MSc in European and International Politics and Policy, MSc in European and International Politics and Policy (LSE and Bocconi), MSc in European and International Politics and Policy (LSE and Sciences Po), MSc in Human Geography and Urban Studies (Research), MSc in International Social and Public Policy (Research), MSc in Marketing, MSc in Political Science (Political Science and Political Economy) and MSc in Social Research Methods. This course is freely available as an outside option to students on other programmes where regulations permit. It does not require permission.
The course is also available to research students as MY555. This course is not controlled access. If you register for a place and meet the prerequisites, if any, you are likely to be given a place.
Requisites
Additional requisites:
The course will assume a knowledge of standard linear regression models, to the level covered in MY452 (Applied Regression Analysis).
Course content
An introduction to the application of modern multivariate methods that are used in the social sciences for purposes of measurement of complex constructs and for reduction of multivariate data to a smaller number of dimensions. The course covers both methods of latent variable modelling (including factor analysis, structural equation models, latent class models, and latent trait models) and non-model-based methods of data reduction such as principal components analysis and cluster analysis. The R software will be used to apply and illustrate the methods in data analysis exercises.
Teaching
20 hours of lectures and 8 hours of computer workshops in the Winter Term.
2 hours of lectures in the Spring Term.
This course has a reading week in Week 6 of Winter Term.
20 hours of lectures and 8 hours of computer workshops in the WT.
This course has a Reading Week in Week 6 of WT.
Formative assessment
Answers to questions based on data analysis exercises can be submitted for formative feedback.
Indicative reading
D J Bartholomew, F Steele, I Moustaki; J I Galbraith (2008) Analysis of Multivariate Social Science Data (Second Edition).
Assessment
Exam (100%), duration: 120 Minutes in the Spring exam period
Key facts
Department: Methodology
Course Study Period: Winter and Spring Term
Unit value: Half unit
FHEQ Level: Level 7
CEFR Level: Null
Total students 2024/25: 11
Average class size 2024/25: 11
Controlled access 2024/25: NoCourse selection videos
Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.