Quantitative methods - multivariate analysis
This course introduces the most widespread methods of multivariate analysis in social sciences.
About the course
Spring 2023: 27 April - 2 June
Application deadline: 5 February 2023
This course is now closed for application for the Spring Term.
Teaching includes lectures and teacher-assisted hands-on exercises with data drawn from social science databases. The course will be examined on the basis of these exercises and assignments including theoretical formulation and interpretation of multivariate models.
Participants are expected to have good knowledge of descriptive statistics – for example by having participated in the second cycle methodology course SIMM41: Methods for Research in the Social Sciences – and basic knowledge of inductive statistics (statistical inference) and multiple regression analysis.
The course is open to doctoral students and master’s students.
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Reading list (PDF)
Course syllabus (PDF)
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Map to lecture halls