250289 Quantitative Datenanalyse - Eine anwendungsorientierte Einführung anhand der Statistiksoftware "R" (S) (WiSe 2014/2015)
Contents, comment
-
Das Seminar dient der Einführung in die computergestützte Auswertung empirischer Daten. Dabei kommt die Open-Source-Statistiksoftware R zur Anwendung. Im Seminar werden die Studierenden sowohl in die zugrundeliegenden statistischen Verfahren als auch in die entsprechenden Anwendungsschritte in R eingeführt. Flankierende Übungen mit der Statistiksoftware R dienen der praktischen Umsetzung der Lerninhalte am Computer.
Requirements for participation, required level
-
Grundkenntnisse in quantitativer Forschungslogik (vorheriger Besuch des Elementes 25-B 3.2)
Bibliography
-
Luhmann, M. (2010). R für Einsteiger: Einführung in die Statistiksoftwae für die Sozialwissenschaften. Weinheim: Beltz
Teaching staff
Dates ( Calendar view )
| Frequency | Weekday | Time | Format / Place | Period |
|---|
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
|
Student information |
| - | Ungraded examination Graded examination | Student information |
The binding module descriptions contain further information, including specifications on the "types of assignments" students need to complete. In cases where a module description mentions more than one kind of assignment, the respective member of the teaching staff will decide which task(s) they assign the students.
Bearbeitung von lehrveranstaltungsbegleitenden Übungen, komplexe Abschlussaufgabe
- Registered number: 29
- This is the number of students having stored the course in their timetable. In brackets, you see the number of users registered via guest accounts.
- eKVV participant management:
- eKVV participant management is used for this course.
- Show details
- Address:
- WS2014_250289@ekvv.uni-bielefeld.de
- This address can be used by teaching staff, their secretary's offices as well as the individuals in charge of course data maintenance to send emails to the course participants. IMPORTANT: All sent emails must be activated. Wait for the activation email and follow the instructions given there.
- If the reference number is used for several courses in the course of the semester, use the following alternative address to reach the participants of exactly this: VST_48682290@ekvv.uni-bielefeld.de
- Notes:
- Additional notes on the electronic mailing lists
- Last update basic details/teaching staff:
- Friday, December 11, 2015
- Last update times:
- Thursday, November 20, 2014
- Last update rooms:
- Thursday, November 20, 2014
- Type(s) / SWS (hours per week per semester)
- seminar (S) / 2
- Department
- Faculty of Educational Science
- Questions or corrections?
- Questions or correction requests for this course?
- Planning support
- Clashing dates for this course
- Links to this course
- If you want to set links to this course page, please use one of the following links. Do not use the link shown in your browser!
- The following link includes the course ID and is always unique:
- https://ekvv.uni-bielefeld.de/kvv_publ/publ/vd?id=48682290
- Send page to mobile
-
Click to open QR code
Scan QR code:
- ID
- 48682290