MY555      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 MPhil/PhD in Environmental Economics, MPhil/PhD in International Relations, MPhil/PhD in Management - Information Systems and Innovation, MPhil/PhD in Social Policy, MRes in Management (Employment Relations and Human Resources), MRes in Management (Marketing) and MRes in Management (Organisational Behaviour). This course is freely available as an outside option to students on other programmes where regulations permit. It does not require permission.

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/MY552 (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

8 hours of computer workshops and 20 hours of lectures in the Winter Term.
2 hours of lectures in the Spring Term.

This course has a reading week in Week 6 of Winter Term.

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

Research project (100%)

Research paper of 25-30 pages, including tables and figures, or approximately 3,000-4,000 words, answering a set of questions by applying multivariate analyses to some data chosen by the student (100%). 


Key facts

Department: Methodology

Course Study Period: Winter and Spring Term

Unit value: Half unit

FHEQ Level: Level 8

CEFR Level: Null

Total students 2024/25: 2

Average class size 2024/25: 2

Controlled access 2024/25: No
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