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PWM-ME-HS3: "Introduction to Statistics for Social Science" (Di 12-14)- Dozent/in
- Anna Neumann
- Angaben
- Seminar
Rein Präsenz
2 SWS, Unterrichtssprache Englisch
Zeit und Ort: Di 12:00 - 14:00, RZ/00.07
- Voraussetzungen / Organisatorisches
- Prerequisites/Zulassungsvoraussetzungen
BA or equivalent qualification in Political Science, no prior statistical (or computing) knowledge is required.
Assessment/Erwerb eines Leistungsnachweises:
Three problem sets + one term paper. Regular and active participation in the seminar is expected.
Registration in FlexNow: 04.10.2023 until 29.10.2023
Deregistration in FlexNow: 04.10.2023 until 29.10.2023
Start date:: 17.10.2023
ECTS: 8
Office hours during semester on demand: anna.neumann(at)uni-bamberg.de
- Inhalt
- This course is an introduction to statistics in empirical political research and introduces the basic methods of data analysis using the statistical software R. It is designed as a refresher course for master students with little statistical training during their Bachelor degree. The course mainly covers descriptive statistics, probability distributions, statistical inference, correlation, and bivariate and multiple regression.
At the end of the seminar, more advanced regression techniques (logistic regression and panel regression) are briefly introduced. Besides, there are sessions where we will learn how to perform basic statistical analysis with the software package R.
- Empfohlene Literatur
- Basic readings:
Agresti, Alan and Barbara Finlay (2008). Statistical Methods for the Social Sciences. 4thEdition. Upper Saddle River: Prentice Hall.
Kellstedt, Paul & Guy Whitten (2013). The Fundamentals of Political Science Research, 2nded. Cambridge, UK: Cambridge University Press.
Wickham, Hadley, Mine Cetinkaya-Rundel & Garrett Grolemund (2023). R for Data Science. Import, Tidy, Transform,Visualize and Model Data, 2nd ed. Full text online at https://r4ds.hadley.nz/
- Englischsprachige Informationen:
- Title:
- PWM-ME-HS3: "Introduction to Statistics for Social Science"
- Credits: 8
- Zusätzliche Informationen
- Erwartete Teilnehmerzahl: 25
- Institution: Lehrstuhl für Empirische Politikwissenschaft
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