Veranstaltungsdetails

Exploratory data analysis using the European Social Survey (AMS)

Kurs-Nr.: 08039 | Zeit: Do 8.30-10 | Raum: GD E2/208 | Semester: WiSe 2019/2020

Emmler

Beschreibung:
Hypothesis driven theory testing is the textbook example of data analysis in the social sciences. In the absence of any hypotheses, however, social scientists often face the challenge of getting a general overview of complex data sets. Additionally, it is equally important to communicate the essence of the data to others comprehensibly and — first and foremost — fast.

In this seminar students are taught to analyze larger data sets automatedly and reproducably, and to export the results into nice documents, such as Word-, HTML- or PDF-files. Mostly, we are going to work with RStudio. At the end of the semester students are asked to produce a short automated report on a research question of their own choice using the skills acquired in the seminar.
1. Introduction into the usage of R and RStudio
• Smart setup
• Workflow
2. Reading and manipulating data
• Basic packages and functions
• Application example: European Social Survey (ESS)
3. Analyzing and visualizing data
• How to handle variable types and scales
• Descriptive statistics and, if applicable, inductive statistics
• Output: Presenting results and visualization techniques
3. Presenting results via ®Markdown and knitr
4. Automation
• Vectorization and loops
• Parameterization within R Markdown

Voraussetzungen für Studiennachweise / Modulprüfungen:
Module exams and study records can be obtained by working on exercises and writing a short seminar paper (~10 pages).

Teilnahmevoraussetzungen:
A basic knowledge of R is a prerequisite.

Literaturhinweise:
Gandrud, Christopher (2014): Reproducible Research with R and RStudio, Boca Raton: CRC Press.
Gehring, Uwe und Cornelia Weins (2009): Grundkurs Statistik für Politologen und Soziologen. Wiesbaden: VS Verlag. 5. Edition.
Wickham, Hadley (2016): Ggplot2. Elegant Graphics for Data Analysis, Basel: Springer International Publishing, 2. Edition.