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Quantitative Methods - Multivariate Analysis

7.5 credits

Course period: 2 May to 9 June, 2019

This course introduces the most widespread methods of multivariate analysis in social sciences.

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 SIMM31 or SIMM41 – and basic knowledge of inductive statistics (statistical inference) and multiple regression analysis.

The course is open to PhD students and master’s students.

 

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