MY555 Half Unit
Multivariate Analysis and Measurement
This information is for the 2020/21 session.
Teacher responsible
Prof Jouni Kuha COL8.04
Availability
This course is available on the MPhil/PhD in Environmental Economics, 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.
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 for continuous observed variables, and their application to questions of measurement in the social sciences. The following topics will be covered: principal components analysis, exploratory factor analysis, confirmatory factor analysis, structural equation models, latent class models and latent trait models. The R software will be used to apply and illustrate the methods in data analysis exercises.
Teaching
This course is delivered through a combination of classes and lectures totalling a minimum of 20 hours across Lent Term. This year, the lectures may be delivered live or as short online videos. The classes will be live and in person, and delivered online or in class.
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%).
Important information in response to COVID-19
Please note that during 2020/21 academic year some variation to teaching and learning activities may be required to respond to changes in public health advice and/or to account for the situation of students in attendance on campus and those studying online during the early part of the academic year. For assessment, this may involve changes to mode of delivery and/or the format or weighting of assessments. Changes will only be made if required and students will be notified about any changes to teaching or assessment plans at the earliest opportunity.
Key facts
Department: Methodology
Total students 2019/20: 3
Average class size 2019/20: 1
Value: Half Unit
