Philippe Blanchard, PhD in political science, is an Assistant professor in political science at the University of Warwick, UK. He works on green politics, political communication, and methods for social and political sciences: multivariate statistics, longitudinal methods, interviewing and content analysis. He is presently conducting research about gendered careers in trade unions, transnational economic elites, and big data for political science. He has taught methods and techniques for social and political sciences in France, Switzerland, Austria, Denmark and the USA.
Participants should have the basic skills for social sciences statistics, that is, some knowledge of:
- Windows or Linux.
- Excel or equivalent spreadsheet software.
- Questionnaires: cleaning, coding, datasets management.
- Basic mathematics: geometric space, vectors
- Descriptive statistics: tabulations, summary statistics, chi2, correlation
- A standard statistical package: SPSS, SAS, Stata, R or other.
Participants should also be willing to learn another approach to social and political statistics. Correspondence analysis brings another angle to social reality, yet fully complementary to more usual methods, including qualitative-comparative analysis (QCA), regression models, cluster analysis or content analysis.
In any case, if you wonder if the course fits your research project or if you match the prerequisites, or if you need reading advices, do not hesitate to ask the instructor: email@example.com.
Short course outline
Correspondence analysis is the core method of a tradition of multivariate descriptive statistics also known as (French/geometric/structured) data analysis. It is unrivalled in the study of political values and attitudes, sociological and ideological profiles of electorates, and organisational memberships. It enables in-depth exploration of complex datasets, combined with geometric representation. It relies on a come-and-go process between data at aggregated and individual levels. Correspondence analysis is particularly adapted to the treatment of non-continuous data and multiple choice questionnaires (about tastes, belongings, experiences, etc.). Although complementary to regression analysis, it is more at ease with nominal data than regression. More resistant to complex dependence between variables, it authorizes more flexible causal designs, based on thorough empirical description.
The course will rely on basic statistical skills (see prerequisites), geometric intuition and knowledge of the context of the study. It is devised for beginners, but students already using correspondence analysis and in search of a more rigorous practice or advanced techniques may also participate.
Philippe Blanchard, University of Warwick, works on green politics, political communication, and methods for social and political sciences: multivariate statistics, longitudinal methods, interviewing, content analysis and digital data. He has taught methods in Austria, Denmark, France, Germany, Singapore, Switzerland, the UK and the USA.
He is currently director of Warwick's BA in Politics, International Studies and Quantitative Methods and MA in Politics, Big Data & Quantitative Methods.
Philippe is the Chair of the ECPR Methods School Academic Advisory Board.
Each course includes pre-course assignments, including readings and pre-recorded videos, as well as daily live lectures totalling at least three hours. The instructor will conduct live Q&A sessions and offer designated office hours for one-to-one consultations.
Please check your course format before registering.
Live classes will be held daily for three hours on a video meeting platform, allowing you to interact with both the instructor and other participants in real-time. To avoid online fatigue, the course employs a pedagogy that includes small-group work, short and
focused tasks, as well as troubleshooting exercises that utilise a variety of online applications to facilitate collaboration and engagement with the course content.
In-person courses will consist of daily three-hour classroom sessions, featuring a range of interactive in-class activities including short lectures, peer feedback, group exercises, and presentations.
This course description may be subject to subsequent adaptations (e.g. taking into account new developments in the field, participant demands, group size, etc.). Registered participants will be informed at the time of change.
By registering for this course, you confirm that you possess the knowledge required to follow it. The instructor will not teach these prerequisite items. If in doubt, please contact us before registering.