250195 Multivariate Analysemethoden - Eine verständliche Einführung anhand der Statistiksoftware "R" (S) (SoSe 2014)

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Multivariate Analysemethoden sind für die Auswertung empirischer Untersuchungen von enormer Bedeutung. Ziel des Seminars ist es, die Studierendenverständlich und schrittweise an die gängigsten Verfahren heranzuführen. Im Vordergrund stehen herbei die konkreten Umsetzungen und weniger die mathematischen Zusammenhänge, ohne dabei den methodisch-theoretischen Hintergrund zu vernachlässigen. Die praktische Umsetzung der Lerninhalte erfolgt mit Hilfe der Open-Source-Statistiksoftware „R“.

Requirements for participation, required level

Grundkenntnisse empirisch-quantitativer Forschung

Bibliography

Luhmann, M. (2010): R für Einsteiger. Einführung in die Statistiksoftware für die Sozialwissenschaften. Weinheim: Beltz.

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
weekly Do 10-12 V0-133 10.04.-18.07.2014
not on: 5/1/14 / 5/29/14 / 6/19/14 / 7/10/14

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Subject assignments

Module Course Requirements  
25-ME2 Methodologies and Methods of Empirical Research Methodologien und Methoden empirischer Forschung E2: Methodologien und Methoden quantitativer Forschung Study requirement
Ungraded examination
Graded examination
Student information
25-MEW2b Methodologien und Methoden empirischer Sozialforschung Methodologien und Methoden empirischer Sozialforschung E2: Methodologie Study requirement
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- Ungraded examination Graded examination Student information

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Last update basic details/teaching staff:
Friday, December 11, 2015 
Last update times:
Tuesday, March 18, 2014 
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Tuesday, March 18, 2014 
Type(s) / SWS (hours per week per semester)
seminar (S) / 2
Department
Faculty of Educational Science
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