Prof Jouni Kuha

This course is available on the Global MSc in Management, Global MSc in Management (CEMS MIM), Global MSc in Management (MBA Exchange), MPhil/PhD in Demography/Population Studies, MSc in Applied Social Data Science, 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 available as an outside option to students on other programmes where regulations permit.

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.

The course will assume a knowledge of standard linear regression models, to the level covered in MY452 (Applied Regression Analysis).

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 and cluster analysis. The R software will be used to apply and illustrate the methods in data analysis exercises.

20 hours of lectures and 8 hours of computer workshops in the WT. 1 hour of lectures in the ST.

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

Answers to questions based on data analysis exercises can be submitted for formative feedback.

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 spring exam period.