MY555      Half Unit
Multivariate Analysis and Measurement

This information is for the 2013/14 session.

Teacher responsible

Ms Sally Stares COL8.12


The course is available to all research students.


Students must have completed Applied Regression Analysis (MY552).

Course content

An introduction to the application of modern multivariate methods used in the social sciences, with particular focus on latent variable models for continuous observed variables, and their application to questions of measurement in the social sciences. At least the following topics will be covered: principal components analysis, exploratory factor analysis, confirmatory factor analysis and structural equation models. In addition, a selection from the following topics will be covered: cluster analysis, correspondence analysis, multidimensional scaling, latent class models, latent trait models.


40 hours of lectures and 8 hours of computer workshops in the LT.

Formative coursework

Exercises from the computer classes can be submitted for marking.

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 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%).

Key facts

Department: Methodology

Total students 2012/13: 5

Average class size 2012/13: Unavailable

Value: Half Unit

Guidelines for interpreting course guide information