MY555      Half Unit
Multivariate Analysis and Measurement

This information is for the 2021/22 session.

Teacher responsible

Prof Jouni Kuha COL8.04


This course is available on the MPhil/PhD in Environmental Economics, MPhil/PhD in International Relations, MPhil/PhD in International Relations, MPhil/PhD in Social Policy, MPhil/PhD in Social Research Methods, MRes/PhD in Management (Employment Relations and Human Resources), MRes/PhD in Management (Marketing) and MRes/PhD in Management (Organisational Behaviour). This course is available as an outside option to students on other programmes where regulations permit.

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


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 used in the social sciences, with particular focus on latent variable models (including factor analysis, structural equation models, latent class models, latent trait models) and methods of data reduction such as principal components analysis. The R software will be used to apply and illustrate the methods in data analysis exercises.


This course is delivered through a combination of classes and lectures totalling a minimum of 20 hours across Lent Term. This year, the lectures may be delivered live or as short online videos. The classes will be live and in person, and delivered online or in class.

This course has a Reading Week in Week 6 of LT.

Formative coursework

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).


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 (100%).

Course selection videos

Some departments have produced short videos to introduce their courses. Please refer to the course selection videos index page for further information.

Important information in response to COVID-19

Please note that during 2021/22 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the differing needs of students in attendance on campus and those who might be studying online. For example, this may involve changes to the mode of teaching delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.

Key facts

Department: Methodology

Total students 2020/21: 4

Average class size 2020/21: 2

Value: Half Unit

Guidelines for interpreting course guide information