This course offers an introduction to Bourdieusian Field Analysis. Different from ‘hypothesis testing’ and regression modelling, field analysis uses multiple correspondence analysis (MCA), a geometric analysis to inspect and visualize the main cleavages, coalitions and clusters within the sample. This method allows researchers to observe horizontal and hierarchical patterns of oppositions within a field and to analyze topics such as culture and consumption, political and economic power, the academic field or dynamics of internationalization. The first day of the course will give you a general introduction to fields and multiple correspondence analysis, the second is dedicated to the practical application of the method to your own data (or data that will be made available to you) with the statistical software R.
This course is useful for:
Day 1: Introduction to Field Analysis and MCA
The first day of the course will provide you with a theoretical and historical introduction of field analyses, illustrated by a series of examples from cultural sociology, sociology of professions, sociology of elites and the field of power. In the second part of the day, we will focus on multiple correspondence analysis (MCA) as a method, by showing its heuristic principles, its functionalities and requirements (in comparison with other statistical techniques such as regression modelling) with exercises dedicated to practical application of the method.
Day 2: The second day of the course is dedicated to a more practical application of the method. The goal is to show you, on the basis of a simple data-set (or based on your own data), how MCA works and how it can be used practically in the framework of the R package soc.ca. All important steps of an MCA will be demonstrated and the main analytical decisions will be discussed.
Centre for Critical Inquiry into Society and Culture (CCISC), Aston University, Birmingham-UK.
Dr. Felix.Bühlmann (University of Lausanne)
For further information please send an email to both emails:
Dr. Ebru Soytemel (CCISC-Sociology and Policy, Aston University- Birmingham)
John Pollard (Research Administrator, CCISC- Aston University- Birmingham)
The course will run for two days. Participants can attend only Day 1 or alternatively Day 1 and Day 2.
Lunch and refreshments will be provided on both day.
1 day course
2 day course
Browser does not support script.