Universität Wien

230124 SE Survey Methodology for use in practice (2017S)

4.00 ECTS (2.00 SWS), SPL 23 - Soziologie
Continuous assessment of course work
Moodle

Registration/Deregistration

Note: The time of your registration within the registration period has no effect on the allocation of places (no first come, first served).

Details

max. 25 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Außerdem: 2 Exkursionstermine in KW 14 und KW 20 (03.04.17 bis 07.04.17 bzw. 17.05.17 - 24.05.17) nach Vereinbarung in der ersten Einheit
Ort: Statistik Austria, Guglgasse 13

Friday 24.03. 15:45 - 19:00 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
Friday 28.04. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Friday 12.05. 15:45 - 19:00 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
Friday 02.06. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Friday 09.06. 15:00 - 18:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre
Friday 23.06. 15:00 - 18:15 Seminarraum H10, Rathausstraße 19, Stiege 2, Hochparterre

Information

Aims, contents and method of the course

Surveys are guiding social policy as well as sociological research and application. But how are official data on unemployment, education , health condition or poverty gathered in Austria? Surveys on Households and Individuals conducted by Statistics Austria pay a central role here. This course aims to introduce into the production of such data upon practical examples and examples.

This course tries to start as directly as possible by introducing the six main social surveys in Austria (Microcensus-Labour Force Survey, Household Budget Survey, EU-SILC, Health Information Survey, ICT and Adult Aducation survey). Upon these examples, the course illustrates how survey methodology works in practice: What should I consider when interpreting the results? How can the quality of social surveys be assessed? This concerns in particular the question: when, why and how do I weight differences in a scientific survey ?

Participants are also invited to present their own questions, which can occur as part of a broader data research, secondary data analysis or an own survey project (for organizational reasons please tell us in advance).

Learning targets are:
a) Getting to know indicators as well as household and personal surveys in official social statistics
b) Learning how to use metadata and microdata of official statistics
c) Getting to know the practical aspects of the development of survey data
d) Getting to know ethical aspects of survey methodology
e) Statistical projection: Getting to know the conditions and learning the techniques

Assessment and permitted materials

Aktive participation in class (30%),
homework (40%)
presentations (30%)

Minimum requirements and assessment criteria

For a pass mark a minimum of 50% of possible credits is required. No grade is possible when absent for more than 2 units.

Examination topics

The course includes an excursion to a call center. In addition, participants work through selected chapters of the book "Survey Methodology" (Groves et al . 2009) and discuss results from practical exercises. Finally, participants present and discuss special topics related to Survey Methodology. There will be input by the instructors as well as exercises on the PC.

Reading list

Groves, Robert M.; Fowler, Floyd J.; Couper, Mick P.; Lepkowski, James M.; Singer, Eleanor; Tourangeau, Roger (2009): Survey Methodology. Second Edition, New Jersey: Wiley.
Kapitel 1, 9, 10, 11.
Engel, Uwe; Jann, Ben; Lynn, Peter; Scherpenzel, Annette; Sturgis, Patrick (2015): Improving Survey Methods. Lessons from Recent Research. New York: Routledge.

Association in the course directory

Last modified: Fr 01.10.2021 00:22