100007 | F Methodenworkshop | F | Introduction to Quantitative Analysis

Veranstaltungsdetails

Lehrende: Assistant Professor Andreas Osterrmaier

Veranstaltungsart: Workshop

Orga-Einheit: Studentische Forschung

Anzeige im Stundenplan: Methoden W. | F

Semesterwochenstunden: 1,5

Credits: 1,0

Standort: Campus der Zeppelin Universität

Unterrichtssprache: Englisch

Min. | Max. Teilnehmerzahl: 10 | 35

Inhalte:
Contents 
 
The contents include data collection (sampling, sampling error, issues with real-world data), data types (measurement level), and basic terminology (variable, observation, parameter, etc.); exploratory data analysis (e.g., distributions, simple summary statistics, outliers, correlations, and data visualization); inference using parametric tests (e.g., t-test, linear regression, and ANOVA), and non-parametric tests (e.g., rank-sum, signed-rank, and ?² tests for two-way tables). Alongside, R and RStudio are briefly introduced at the beginning and subsequently used for data processing and analysis in examples and exercises throughout the course. 
 
The course combines lectures with in-class and take-home exercises and student presentations. Students are strongly encouraged to participate actively and engage in learning activities. 

Lernziele:
Learning objectives 
 
The purpose of this course within the module is to equip students with statistical skills to help them realize their Zeppelin Projects. Beyond the project, it has the following learning objectives. 
 
Knowledge: Students understand the importance of quantitative research in social sciences. They have an overview of statistical analysis and are familiar with specific statistical tests. 
 
Competences: Students can interpret statistics, both academic and non-academic (e.g., polls). In particular, they can read results sections in research articles. They can analyze their own data and communicate their results. 
 
Skills: Students can process (e.g., import and transform) and analyze data in R. They can summarize and visualize their data. They can run simple statistical tests on their data. 
 

Weitere Informationen zu den Prüfungsleistungen:
Exam 
 
The exam is covered by the group research project report and presentation concluding the Zeppelin Project. Attendance is expected.

Literatur:
Reading materials include book chapters, research articles, and online resources, which will be provided in class. 

Anmeldefristen
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Termine
Datum Von Bis Raum Lehrende
1 Mi, 23. Okt. 2024 13:30 16:00 Assistant Professor Andreas Osterrmaier
2 Mi, 6. Nov. 2024 13:30 16:00 Assistant Professor Andreas Osterrmaier
3 Mi, 13. Nov. 2024 13:30 16:00 Assistant Professor Andreas Osterrmaier
4 Mi, 20. Nov. 2024 13:30 16:00 Assistant Professor Andreas Osterrmaier
5 Mi, 27. Nov. 2024 13:30 16:00 Assistant Professor Andreas Osterrmaier
Veranstaltungseigene Prüfungen
Beschreibung Datum Lehrende Bestehenspflicht
1. Teilnahme | Class Participation ohne Termin Ja
Übersicht der Kurstermine
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Lehrende
Assistant Professor Andreas Osterrmaier