MY555      Half Unit
Multivariate Analysis and Measurement

This information is for the 2022/23 session.

Teacher responsible

Dr Gabriel Wallin

Availability

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

Pre-requisites

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

Teaching

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

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).

Assessment

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%).

Key facts

Department: Methodology

Total students 2021/22: 9

Average class size 2021/22: 3

Lecture capture used 2021/22: Yes (LT)

Value: Half Unit

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