Dr Jouni Kuha Col.8.02

This course is available on the MSc in Management, MSc in Management (CEMS MIM), MSc in Organisational Behaviour, MSc in Political Science and Political Economy and MSc in Social Research Methods. This course is available with permission as an outside option to students on other programmes where regulations permit.

The course is also available to research students as MY555.

Students must have completed Applied Regression Analysis (MY452).

The course will assume a knowledge of standard linear regression models, to the level covered in MY452.

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.

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

Exercises from the computer classes can be submitted for marking.

D J Bartholomew, F Steele, I Moustaki; J I Galbraith (2008) Analysis of

Multivariate Social Science Data (Second Edition).

Exam (100%, duration: 2 hours) in the main exam period.