This course offers an introduction to MCA, which is a method that allows researchers to observe the patterning of complex data sets through representing categorical variables as points in N-dimensional space. Although it was developed from the later 1960s, MCA has not previously had a large Anglophone following, but it is an increasingly popular method because of (a) its association with Pierre Bourdieu's high profile sociology, (b) its capacity to lend itself to visualisation of clusters and (c) its potential for mixed methods research.Issues covered include mathematical principles of geometric data analysis, the difference between the active space of modalities and the use of supplementary variables, coding issues, working with the cloud of modalities and the cloud of individuals, clustering methods within MCA, and the use of inferential statistics within MCA.The course is designed to allow the beginner to grasp basic mathematical principles of geometric data analysis. The course will be delivered by a series of lectures by leading international experts in MCA in the morning, with practical sessions in a computer lab in the afternoons. Comprehensive training is provided in using SPAD software, the most accessible and flexible package to use when carrying out MCA.

Period
18-08-2014 - 22-08-2014 (1 weeks)

Target group
This course is suitable for PhD students, post-doctoral fellows and academic staff in the social sciences, interested in one of the main methods for the clustering of categorical data; those interested in learning about the methods used by Pierre Bourdieu for the analysis of cultural fields and social relations; and market researchers, other commercial researchers, and public sector professionals wishing to learn MCA as a means of clustering complex data sets, and presenting attractive and intuitive visualisations

Course aim
This course will provide students with a comprehensive introduction to MCA, training in how to use SPAD software, and an awareness of key exemplars in social science using MCA and an awareness of the theoretical principles it draws upon.



Credits
0.0 ECTS creditsThe decision to award credits is at the discretion of the student's home institution. Students should always check with their home institution to confirm the number of credits that can be awarded.

Course fee
GBP 890[Convert to USD]Academic rate - available to students and staff of academic institutionsGBP 1500[Convert to USD]Standard rate

Course leader
Professor Brigitte Le Roux (Universit Paris Descartes), Professor Johs Hjellbrekke (University of Bergen), Professor Mike Savage (Department of Sociology, LSE) & Dr Daniel Laurison (Department of Sociology, LSE)

Scholarships
Previous students of LSE may be eligible for a 15% discount on their tuition fees.

London School of Economics
Address: Houghton Street
Postal code: WC2A 2AE
City: London
Country: United Kingdom
Website: http://www.lse.ac.uk/study/summerSchools/Methods/home.aspx
E-mail: summer.methods@lse.ac.uk
Phone: +44 (0)20 7955 6422