LFU:online

Students are able to comprehend the logic of common statistical procedures and approaches in empirical research in the social sciences and understand their application in the context of empirical research. They are able to critically receive statistical statements and independently carry out simple data analyses. 

The main purpose of this course is the deepening and application of topics discussed in the Statistics lecture. This includes selected topics from the areas of descriptive statistics, inferential statistics, probability theory, and regression analysis. We will discuss central concepts, solve exercises and run data analyses using the statistical software R. All examples are based on social science research. The course encourages active and independent learning by means of group and individual assignments.      

R software and programming

Descriptive statistics and data visualization techniques

Inferential statistics

Regression analysis

Regular group work (50%)

Data analysis (50%)

Bueno de Mesquita, and Anthony Fowler. 2021. Thinking Clearly with Data: A Guide to Quantitative Reasoning and Analysis. Princeton: Princeton University Press.

Dalgaard, Peter. 2008. Introductory Statistics with R. Statistics and Computing. New York, NY: Springer.

Field, Andy. 2022. An Adventure in Statistics: The Reality Enigma. 2. Auflage. London: SAGE Publications Ltd.

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consulatation hours Tuesday from 2:00 - 4:00 pm