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230130 SE Sample and questionnaire design (2017W)

How to determine and avoid sampling and measurement errors in surveys

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

Registration/Deregistration

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

Details

max. 25 participants
Language: German

Lecturers

Classes (iCal) - next class is marked with N

Friday 06.10. 15:00 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Friday 20.10. 15:00 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Friday 10.11. 15:00 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Friday 24.11. 15:00 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock
Friday 15.12. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Friday 12.01. 15:00 - 18:15 PC-Seminarraum 1 Oskar-Morgenstern-Platz 1 1.Untergeschoß
Friday 26.01. 15:00 - 18:15 Seminarraum 3 Oskar-Morgenstern-Platz 1 1.Stock

Information

Aims, contents and method of the course

Aims:
1. Overview on survey errors
2. Learns strategies to control these errors
3. Evaluate different designs and plan own surveys of high quality
Questions:
Which criteria shall be used to evaluate survey data?
How can I draw a survey sample?
What are the pros and cons of different survey modes?
What can I do to ensure response rates?
What is a good questionnaire and how can I test it?

Approach:
Starting point is a holistic approach to survey errors (total survey paradigm). Students learn foundations of survey methodology by reading (Groves et al. 2009), doing homework exercises and discussing results in class. Students research practical examples from literature (Engel et al. 2015) and ongoing methodological work at Statistics Austria. Own research problems can be brought to class (advance notice recommended)

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

Compulsory reading: Groves et al. (2009): Selected Chapters
Presentations: Engel et al. (2015) and similar case studies

Reading list

Groves, Robert M.; Fowler, F.J.; Couper, Mick; Lepkowski, James; Singer, Eleanor; Tourangeau, Robert (2009). Survey Methodology. New York: Wiley.

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: Mo 07.09.2020 15:39