Correspondence analysis (CA) is a versatile method of multivariate analysis for analysing and
visualizing tables of categorical data, typically cross-tabulations. Multiple correspondence analysis
(MCA) is the extension of CA to the analysis and visualization of multivariate categorical data,
typically responses to several questions in a questionnaire survey.
1) lectures: max 100 students
Thu 20.4, 14-16, F26 juhlasali (KICK-OFF / presentation lecture)
Tue 25.4 - 23.5, 10-12, F26 juhlasali (exception: Tue 9.5 at 9-11, same place)
2) computer class: max 40 students (24 computers: BYOD)
Tue 25.4 - 23.5, 16-18, SSKH IT-SAL
KICK-OFF Thu 20 Apr 14-16! Course Tue 25 Apr - 23 May.
Enquiries: firstname.lastname@example.org (Centre for Research Methods, Faculty of Social Sciences)
Professor Michael Greenacre, Universitat Pompeu Fabra, Catalonia, Spain