Prof Jouni Kuha

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)

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).

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%).