250232 Auswertung von Umfragedaten mittels OpenSource-Software (BS) (SoSe 2015)

Contents, comment

Umfragen spielen bei der Erfassung von Einstellungen, Meinungen und demographischen Informationen der Bevölkerung eine große Rolle in modernen Gesellschaften. Auch kleinere Umfragen in Schulen, Betrieben oder Verbänden gehören heute zum Arbeitsalltag von PädagogInnen. Mit dem Seminar sollen die Studierenden befähigt werden, Umfragedaten zielgerichtet auszuwerten. Dazu wird das OpenSource-Programm „R“ verwendet. Dieses zeichnet sich durch eine breite Unterstützung in der scientific community und eine kostenlose Nutzung für alle interessierten Anwender aus.

Requirements for participation, required level

Grundkenntnisse in quantitativen Forschungsmethoden

Bibliography

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

Teaching staff

Dates ( Calendar view )

Frequency Weekday Time Format / Place Period  
one-time Fr 9-17 Q1-102 17.04.2015
one-time Sa 9-17 U0-131 18.04.2015
one-time Fr 9-17 Q1-102 24.04.2015
one-time Sa 9-17 Q1-102 25.04.2015

Hide passed dates << Edit date display

Subject assignments

Module Course Requirements  
20-DM1_ver1 Teaching Biology I Planung und Durchführung von Biologieunterricht Study requirement
Student information
E7: Einführung in die Forschungsmethoden Study requirement
Student information
20-DM2_ver1 Teaching Biology II Planung und Durchführung von Biologieunterricht Study requirement
Student information
E7: Einführung in die Forschungsmethoden Study requirement
Student information
23-ANG-AngPM1 Profile Module 1: Teaching English as a Foreign Language 1 E7: Einführung in die Forschungsmethoden Study requirement
Student information
23-GER-FD_ver1 Subject Didactics for all Forms of Secondary Education E7: Einführung in die Forschungsmethoden Study requirement
Student information
23-GER-Gru-FD1S_ver1 The Didactics of Language and Literature - Major Subject (Primary School Education) E7: Einführung in die Forschungsmethoden Study requirement
Student information
23-GER-Gru-FD1_ver1 The Didactics of Language and Literature E7: Einführung in die Forschungsmethoden Study requirement
Student information
24-DGG1_ver1 Mathematics Education E7: Einführung in die Forschungsmethoden Study requirement
Student information
24-DGS3_ver1 Profile Module Mathematics Education E7: Einführung in die Forschungsmethoden Study requirement
Student information
24-DHR2_ver1 Mathematics Education 2 E7: Einführung in die Forschungsmethoden Study requirement
Student information
25-BE3 Research Methods Module E3: Anwendung empirischer Forschungsmethoden Student information
- Graded examination Student information
25-BE3_a Research Methods Module E3: Anwendung empirischer Forschungsmethoden Study requirement
Graded examination
Student information
26-FD_GG_ver1 Subject Didactics GymGe E7: Einführung in die Forschungsmethoden Study requirement
Student information
26-FD_HRSGe_ver1 Subject Didactics HRSGe E7: Einführung in die Forschungsmethoden Study requirement
Student information
28-FD_ver1 Didactics of Physics E7: Einführung in die Forschungsmethoden Study requirement
Student information
30-M28_ver1 Specialisation Module Education / Further Education E7: Einführung in die Forschungsmethoden Study requirement
Student information
36-FD_G_ver1 Subject Didactics for Primary Schools E7: Einführung in die Forschungsmethoden Study requirement
Student information
36-FD_HRSGe_ver1 Subject Didactics for Secondary and Comprehensive Schools E7: Einführung in die Forschungsmethoden Study requirement
Student information
38-M3-K_ver1 Didactical Basics E7: Einführung in die Forschungsmethoden Study requirement
Student information
38-M3-M_ver1 Didactical Basics E7: Einführung in die Forschungsmethoden Study requirement
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.

Im Seminar wird ausgehend von realen Umfragedaten die Strategie der Auswertung komplexer Datensätze vorgestellt und in der Umsetzung mit dem Statistikprogramm R eingeübt. Das Seminar findet als Blockseminar statt.

No eLearning offering available
Registered number: 22
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
Limitation of the number of participants:
Limited number of participants: 30
Address:
SS2015_250232@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_53819609@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, October 22, 2015 
Last update rooms:
Thursday, April 16, 2015 
Type(s) / SWS (hours per week per semester)
block seminar (BS) / 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=53819609
Send page to mobile
Click to open QR code
Scan QR code: Enlarge QR code
ID
53819609