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Einrichtungen >> Fakultät Sozial- und Wirtschaftswissenschaften >> Bereich Politikwissenschaft >>

Professur für Empirische Politikwissenschaft

 

HS: Politikwissenschaftliche Methoden III: Introduction to statistics for political and social sciences

Dozent/in:
Daniel Höhmann
Angaben:
Hauptseminar, 2 SWS, Anmeldung über FlexNow ab 01.10.2016
Termine:
Mi, 10:00 - 12:00, RZ/00.05
Inhalt:
Hauptseminar: Politikwissenschaftliche Methoden III: Introduction to statistics for political and social sciences [in English] (N.N.) Wednesday, 10-12 in RZ 00.05
This course introduces and applies basic statistical methods. It is designed as a refresher course for master students with little statistical training during their Bachelor degree. Topics covered include descriptive statistics, measures of correlation, linear regression, and logistic regression. The seminar applies these techniques on sample data using the statistical software package Stata. At the end of the course, students should understand the basic logic of inferential statistics and be able to perform simple analyses using statistical software.

 

HS: Vergleichende Politikwissenschaft III: Coalition Politics

Dozent/in:
Ulrich Sieberer
Angaben:
Hauptseminar, 2 SWS, Anmeldung über FlexNow ab 01.10.2016
Termine:
Do, 14:00 - 16:00, F21/03.03

 

Introduction to R

Dozent/in:
Ulrich Schroeders
Angaben:
Seminar, 2 SWS, ECTS: 8, - Master-Students: Please register via FlexNow - BAGSS/Doctoral Students: Please send a mail to Miriam Schneider (miriam.schneider@uni-bamberg.de) to register.
Voraussetzungen / Organisatorisches:
• Master-Students: Please register via FlexNow
• BAGSS/Doctoral Students: Please send a mail to Miriam Schneider (miriam.schneider@uni-bamberg.de) to register.
Inhalt:
This seminar deals with introductory and intermediate aspects of R, an open source statistical program that has become in recent years more and more popular in the behavioral and social sciences. In principle, the R ecosystem provides the user with a huge variety of pre-programmed modeling techniques and visualization tools, but the flexibility and versatility comes at the cost of learning an often unintuitive programming language. In this seminar students are first introduced to the basic units of R (operators, objects, functions, etc.) and structures (if-else, ifelse, while, etc.). Thereafter, the entire process of data analysis is discussed in detail including a) reading in data, b) data preparation and handling, c) descriptive statistics, d) advanced statistical analyses, e) data visualization, and f) saving output. A focus of this seminar is on developing hands-on programming skills by solving real-world analytical problems, for example, how to assess large-scale data via Internet, effectively recode data or find a catchy visualization of results. Since R is taught from scratch, neither experience in R (or another programming language) nor usage of a specific software is necessary. However, prospective participants should possess a solid knowledge of basic statistical concepts (e.g., variance, covariance, correlation) and analytical techniques (e.g., regression analysis). To obtain full ECTS points, participants have to complete assignments every two weeks.
Empfohlene Literatur:
‒ Field, A., & Miles, J. (2012). Discovering Statistics Using R. London ; Thousand Oaks, Calif: Sage Publications Ltd.
‒ Kabacoff, R. (2015). R in Action: Data Analysis and Graphics with R. Shelter Island: Manning.
‒ Matloff, N. (2011). The Art of R Programming: A Tour of Statistical Software Design. San Francisco: No Starch Press.

 
 
Di12:00 - 14:00RZ/01.02 Schroeders, U.
 

Oberseminar: Kolloquium für Abschlussarbeiten im Bachelor- und Masterstudiengang

Dozent/in:
Ulrich Sieberer
Angaben:
Kolloquium, 2 SWS
Termine:
Di, 12:00 - 14:00, FMA/00.06

 

PS: Proseminar Vergleichende Politikwissenschaft: BA/PS: Proseminar zur Vorlesung

Dozent/in:
Lukas Hohendorf
Angaben:
Proseminar, 2 SWS, Anmeldung über FlexNow ab 01.10.2016
Termine:
Mi, 12:00 - 14:00, FMA/00.06

 

Research Design in Social Sciences

Dozent/in:
Ulrich Sieberer
Angaben:
Seminar, 2 SWS
Termine:
Mi, 10:00 - 12:00, FG1/00.06

 

S: (BA): Vertiefungsseminar Vergleichende Politikwissenschaft: Empirische Repräsentationsforschung

Dozent/in:
Ulrich Sieberer
Angaben:
Seminar, 2 SWS, Anmeldung über FlexNow ab 01.10.2016
Termine:
Do, 10:00 - 12:00, F21/03.80

 

S: (BA): Vertiefungsseminar Vergleichende Politikwissenschaft: The U.S. Congress in comparative perspective

Dozent/in:
Ulrich Sieberer
Angaben:
Seminar, 2 SWS, Anmeldung über FlexNow ab 01.10.2016
Termine:
Di, 10:00 - 12:00, F21/03.03



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